{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T10:58:00Z","timestamp":1761389880402,"version":"build-2065373602"},"reference-count":60,"publisher":"Springer Science and Business Media LLC","issue":"35","license":[{"start":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T00:00:00Z","timestamp":1746403200000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T00:00:00Z","timestamp":1746403200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Multimed Tools Appl"],"DOI":"10.1007\/s11042-025-20848-5","type":"journal-article","created":{"date-parts":[[2025,5,5]],"date-time":"2025-05-05T05:20:12Z","timestamp":1746422412000},"page":"43751-43784","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["A new approach to incorporate log-local information into improved kernel possibilistic C-means clustering with spatial constraints for image segmentation"],"prefix":"10.1007","volume":"84","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5881-4723","authenticated-orcid":false,"given":"Chengmao","family":"Wu","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-6211-7902","authenticated-orcid":false,"given":"Mingjie","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2025,5,5]]},"reference":[{"issue":"6191","key":"20848_CR1","doi-asserted-by":"publisher","first-page":"1492","DOI":"10.1126\/science.1242072","volume":"344","author":"A Rodriguez","year":"2014","unstructured":"Rodriguez A, Laio A (2014) Clustering by fast search and find of density peaks. Science 344(6191):1492\u20131496. https:\/\/doi.org\/10.1126\/science.1242072","journal-title":"Science"},{"issue":"5184","key":"20848_CR2","doi-asserted-by":"publisher","first-page":"972","DOI":"10.1126\/science.1136800","volume":"315","author":"BJ Frey","year":"2007","unstructured":"Frey BJ, Dueck D (2007) Clustering by passing messages between data points. Science 315(5184):972\u2013976. https:\/\/doi.org\/10.1126\/science.1136800","journal-title":"Science"},{"issue":"1","key":"20848_CR3","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1109\/TPAMI.2016.2537337","volume":"39","author":"A Liu","year":"2017","unstructured":"Liu A, Su Y, Nie W, Kankanhalli M (2017) Hierarchical clustering multi-task learning for joint human action grouping and recognition. IEEE Trans Pattern Anal Mach Intell 39(1):102\u2013114. https:\/\/doi.org\/10.1109\/TPAMI.2016.2537337","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"7","key":"20848_CR4","doi-asserted-by":"publisher","first-page":"3317","DOI":"10.1109\/TIP.2017.2651389","volume":"26","author":"J Chen","year":"2017","unstructured":"Chen J, Li Z, Huang B (2017) Linear spectral clustering superpixel. IEEE Trans Image Process 26(7):3317\u20133330. https:\/\/doi.org\/10.1109\/TIP.2017.2651389","journal-title":"IEEE Trans Image Process"},{"issue":"12","key":"20848_CR5","doi-asserted-by":"publisher","first-page":"5854","DOI":"10.1109\/TIP.2015.2488902","volume":"24","author":"W Ju","year":"2015","unstructured":"Ju W, Xiang D, Zhang B, Wang L, Kopriva I, Chen X (2015) Random walk and graph cut for co-segmentation of lung tumor on PET-CT images. IEEE Trans Image Process 24(12):5854\u20135867. https:\/\/doi.org\/10.1109\/TIP.2015.2488902","journal-title":"IEEE Trans Image Process"},{"issue":"9","key":"20848_CR6","doi-asserted-by":"publisher","first-page":"1381","DOI":"10.3390\/rs10091381","volume":"10","author":"T Lei","year":"2018","unstructured":"Lei T, Xue D, Lv Z, Li S, Zhang Y, Nandi AK (2018) Unsupervised change detection using fast fuzzy clustering for landslide mapping from very high-resolution images. Remote Sensing 10(9):1381. https:\/\/doi.org\/10.3390\/rs10091381","journal-title":"Remote Sensing"},{"issue":"4","key":"20848_CR7","doi-asserted-by":"publisher","first-page":"640","DOI":"10.1109\/TPAMI.2016.2572683","volume":"39","author":"E Shelhamer","year":"2017","unstructured":"Shelhamer E, Long J, Darrell T (2017) Fully convolutional networks for semantic segmentation. IEEE Trans Pattern Anal Mach Intell 39(4):640\u2013651. https:\/\/doi.org\/10.1109\/TPAMI.2016.2572683","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"3","key":"20848_CR8","doi-asserted-by":"publisher","first-page":"442","DOI":"10.1137\/1025116","volume":"25","author":"P Wang","year":"1983","unstructured":"Wang P (1983) Pattern recognition with fuzzy objective function algorithms (James C. Bezdek). SIAM Rev 25(3):442. https:\/\/doi.org\/10.1137\/1025116","journal-title":"SIAM Rev"},{"issue":"5","key":"20848_CR9","doi-asserted-by":"publisher","first-page":"1328","DOI":"10.1109\/TIP.2010.2040763","volume":"19","author":"S Krinidis","year":"2010","unstructured":"Krinidis S, Chatzis V (2010) A robust fuzzy local information c-means clustering algorithm. IEEE Trans Image Process 19(5):1328\u20131337. https:\/\/doi.org\/10.1109\/TIP.2010.2040763","journal-title":"IEEE Trans Image Process"},{"issue":"2","key":"20848_CR10","doi-asserted-by":"publisher","first-page":"573","DOI":"10.1109\/TIP.2012.2219547","volume":"22","author":"M Gong","year":"2013","unstructured":"Gong M, Liang Y, Shi J, Ma W, Ma J (2013) Fuzzy c-means clustering with local information and kernel metric for image segmentation. IEEE Trans Image Process 22(2):573\u2013584. https:\/\/doi.org\/10.1109\/TIP.2012.2219547","journal-title":"IEEE Trans Image Process"},{"issue":"4","key":"20848_CR11","doi-asserted-by":"publisher","first-page":"2141","DOI":"10.1109\/TIP.2011.2170702","volume":"21","author":"M Gong","year":"2012","unstructured":"Gong M, Zhou Z, Ma J (2012) Change detection in synthetic aperture radar images based on image fusion and fuzzy clustering. IEEE Trans Image Process 21(4):2141\u20132151. https:\/\/doi.org\/10.1109\/TIP.2011.2170702","journal-title":"IEEE Trans Image Process"},{"issue":"3","key":"20848_CR12","doi-asserted-by":"publisher","first-page":"032024","DOI":"10.1088\/1742-6596\/1237\/3\/032024","volume":"1237","author":"X Li","year":"2019","unstructured":"Li X, Qu Z, Yang X (2019) Spatially constrained fuzzy c-means clustering algorithm for image segmentation. J Phys: Conf Ser 1237(3):032024. https:\/\/doi.org\/10.1088\/1742-6596\/1237\/3\/032024","journal-title":"J Phys: Conf Ser"},{"issue":"2","key":"20848_CR13","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/91.227387","volume":"1","author":"R Krishnapuram","year":"2002","unstructured":"Krishnapuram R, Keller JM (2002) A possibilistic approach to clustering. IEEE Trans Fuzzy Syst 1(2):98\u2013110. https:\/\/doi.org\/10.1109\/91.227387","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"4","key":"20848_CR14","doi-asserted-by":"publisher","first-page":"517","DOI":"10.1109\/TFUZZ.2004.840099","volume":"13","author":"NR Pal","year":"2005","unstructured":"Pal NR, Pal K, Keller JM, Bezdek JC (2005) A possibilistic fuzzy c-means clustering algorithm. IEEE Trans Fuzzy Syst 13(4):517\u2013530. https:\/\/doi.org\/10.1109\/TFUZZ.2004.840099","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"8","key":"20848_CR15","doi-asserted-by":"publisher","first-page":"2378","DOI":"10.11999\/JEIT200757","volume":"43","author":"J Fan","year":"2021","unstructured":"Fan J, Gao M, Yu H, Chen B (2021) Cutset-type possibilistic C-means clustering algorithms based on semi-supervised information. J Electron Inf Technol 43(8):2378\u20132385. https:\/\/doi.org\/10.11999\/JEIT200757","journal-title":"J Electron Inf Technol"},{"key":"20848_CR16","doi-asserted-by":"publisher","first-page":"401","DOI":"10.1016\/j.asoc.2017.12.024","volume":"64","author":"H Yu","year":"2018","unstructured":"Yu H, Fan J (2018) Cutset-type possibilistic c-means clustering algorithm. Appl Soft Comput 64:401\u2013422. https:\/\/doi.org\/10.1016\/j.asoc.2017.12.024","journal-title":"Appl Soft Comput"},{"key":"20848_CR17","doi-asserted-by":"publisher","first-page":"122","DOI":"10.1016\/j.fss.2023.108792","volume":"122","author":"D Zhang","year":"2003","unstructured":"Zhang D, Chen S (2003) Kernel-based fuzzy and possibilistic C-means clustering. Proc Int Conf Artif Neural Network 122:122\u2013125. https:\/\/doi.org\/10.1016\/j.fss.2023.108792","journal-title":"Proc Int Conf Artif Neural Network"},{"key":"20848_CR18","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s00466-010-0527-8","volume":"26","author":"X Zhang","year":"2015","unstructured":"Zhang X, Wang S (2015) Mahalanobis distance based possibilistic clustering algorithm and its analysis. J Data Acquis Process 26:101\u2013105. https:\/\/doi.org\/10.1007\/s00466-010-0527-8","journal-title":"J Data Acquis Process"},{"key":"20848_CR19","doi-asserted-by":"publisher","first-page":"845","DOI":"10.1016\/j.asoc.2019.02.027","volume":"80","author":"H Yu","year":"2019","unstructured":"Yu H, Fan J, Lan R (2019) Suppressed possibilistic c-means clustering algorithm. Appl Soft Comput 80:845\u2013872. https:\/\/doi.org\/10.1016\/j.asoc.2019.02.027","journal-title":"Appl Soft Comput"},{"issue":"5","key":"20848_CR20","doi-asserted-by":"publisher","first-page":"1093","DOI":"10.1109\/TFUZZ.2020.2968879","volume":"29","author":"M Yang","year":"2021","unstructured":"Yang M, Benjamin JBM (2021) Feature-weighted possibilistic c-means clustering with a feature-reduction framework. IEEE Trans Fuzzy Syst 29(5):1093\u20131106. https:\/\/doi.org\/10.1109\/TFUZZ.2020.2968879","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"20848_CR21","doi-asserted-by":"publisher","first-page":"103377","DOI":"10.1016\/j.advengsoft.2022.103377","volume":"176","author":"C Wu","year":"2023","unstructured":"Wu C, Peng S (2023) Robust interval type-2 kernel-based possibilistic fuzzy clustering algorithm incorporating local and non-local information. Adv Eng Software 176:103377. https:\/\/doi.org\/10.1016\/j.advengsoft.2022.103377","journal-title":"Adv Eng Software"},{"key":"20848_CR22","doi-asserted-by":"publisher","first-page":"465","DOI":"10.1016\/j.ins.2022.08.082","volume":"612","author":"W Zeng","year":"2022","unstructured":"Zeng W, Liu Y, Cui H, Ma R, Xu Z (2022) Interval possibilistic C-means algorithm and its application in image segmentation. Inf Sci 612:465\u2013480. https:\/\/doi.org\/10.1016\/j.ins.2022.08.082","journal-title":"Inf Sci"},{"key":"20848_CR23","doi-asserted-by":"publisher","first-page":"111388","DOI":"10.1016\/j.knosys.2024.111388","volume":"286","author":"H Yu","year":"2024","unstructured":"Yu H, Xu X, Li H, Wu Y, Lei B (2024) Semi-supervised possibilistic c-means clustering algorithm based on feature weights for imbalanced data. Knowl-Based Syst 286:111388. https:\/\/doi.org\/10.1016\/j.knosys.2024.111388","journal-title":"Knowl-Based Syst"},{"key":"20848_CR24","doi-asserted-by":"publisher","first-page":"122270","DOI":"10.1016\/j.eswa.2023.122270","volume":"241","author":"H Yu","year":"2024","unstructured":"Yu H, Jiang L, Fan J, Xie S, Lan R (2024) A feature-weighted suppressed possibilistic fuzzy c-means clustering algorithm and its application on color image segmentation. Expert Syst Appl 241:122270. https:\/\/doi.org\/10.1016\/j.eswa.2023.122270","journal-title":"Expert Syst Appl"},{"key":"20848_CR25","doi-asserted-by":"publisher","first-page":"110736","DOI":"10.1016\/j.knosys.2023.110736","volume":"276","author":"H Yu","year":"2023","unstructured":"Yu H, Jiang L, Fan J, Lan R (2023) Double-suppressed possibilistic fuzzy Gustafson-Kessel clustering algorithm. Knowl-Based Syst 276:110736. https:\/\/doi.org\/10.1016\/j.knosys.2023.110736","journal-title":"Knowl-Based Syst"},{"key":"20848_CR26","doi-asserted-by":"publisher","first-page":"78308","DOI":"10.1109\/ACCESS.2018.2884956","volume":"6","author":"M Yang","year":"2018","unstructured":"Yang M, Chang-Chien S, Nataliani Y (2018) A fully-unsupervised possibilistic C-means clustering algorithm. IEEE Access 6:78308\u201378320. https:\/\/doi.org\/10.1109\/ACCESS.2018.2884956","journal-title":"IEEE Access"},{"issue":"16","key":"20848_CR27","doi-asserted-by":"publisher","first-page":"3469979","DOI":"10.1155\/2022\/3469979","volume":"2022","author":"Y Gu","year":"2022","unstructured":"Gu Y, Ni T, Jiang Y (2022) Deep possibilistic c-means clustering algorithm on medical datasets. Comput Math Methods Med 2022(16):3469979. https:\/\/doi.org\/10.1155\/2022\/3469979","journal-title":"Comput Math Methods Med"},{"key":"20848_CR28","doi-asserted-by":"publisher","unstructured":"Ruprecht B, Wu W, Islam MA, Anderson D, Keller J, Scott G (2020) Possibilistic clustering enabled neuro fuzzy logic. IEEE International Conference on Fuzzy Systems, IEEE Press. https:\/\/doi.org\/10.1109\/FUZZ48607.2020.9177593","DOI":"10.1109\/FUZZ48607.2020.9177593"},{"key":"20848_CR29","doi-asserted-by":"publisher","first-page":"7627","DOI":"10.1007\/s10115-024-02211-6","volume":"66","author":"S Singh","year":"2024","unstructured":"Singh S, Srivastava S (2024) Enhancing the performance of deep learning models with fuzzy c-means clustering. Knowl Inf Syst 66:7627\u20137665. https:\/\/doi.org\/10.1007\/s10115-024-02211-6","journal-title":"Knowl Inf Syst"},{"key":"20848_CR30","doi-asserted-by":"publisher","unstructured":"Zare A, Young N, Suen D, Nabelek T, Galusha A, Keller J (2017) Possibilistic fuzzy local information C-means for sonar image segmentation. 2017 IEEE Symposium Series on Computational Intelligence (SSCI), Honolulu, HI, USA 1-8. https:\/\/doi.org\/10.1109\/SSCI.2017.8285358","DOI":"10.1109\/SSCI.2017.8285358"},{"key":"20848_CR31","doi-asserted-by":"publisher","first-page":"321","DOI":"10.1007\/s40815-018-0537","volume":"21","author":"KH Memon","year":"2019","unstructured":"Memon KH, Memon S, Qureshi MA, Alvi MB, Kumar D, Shah RA (2019) Kernel possibilistic fuzzy c-means clustering with local information for image segmentation. Int J Fuzzy Syst 21:321\u2013332. https:\/\/doi.org\/10.1007\/s40815-018-0537","journal-title":"Int J Fuzzy Syst"},{"issue":"6","key":"20848_CR32","doi-asserted-by":"publisher","first-page":"893","DOI":"10.1142\/S021848851850040X","volume":"26","author":"BA Pimentel","year":"2018","unstructured":"Pimentel BA, De Souza RMCR (2018) A generalized multivariate approach for possibilistic fuzzy C-means clustering. Internat J Uncertain Fuzziness Knowl-Based Syst 26(6):893\u2013916. https:\/\/doi.org\/10.1142\/S021848851850040X","journal-title":"Internat J Uncertain Fuzziness Knowl-Based Syst"},{"issue":"1","key":"20848_CR33","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1016\/j.patcog.2005.07.005","volume":"39","author":"M Yang","year":"2006","unstructured":"Yang M, Wu K (2006) Unsupervised possibilistic clustering. Pattern Recogn 39(1):5\u201321. https:\/\/doi.org\/10.1016\/j.patcog.2005.07.005","journal-title":"Pattern Recogn"},{"key":"20848_CR34","doi-asserted-by":"publisher","first-page":"80","DOI":"10.1016\/j.ijar.2022.05.007","volume":"148","author":"C Wu","year":"2022","unstructured":"Wu C, Guo X (2022) A novel interval-valued data driven type-2 possibilistic local information c-means clustering for land cover classification. Int J Approx Reason 148:80\u2013116. https:\/\/doi.org\/10.1016\/j.ijar.2022.05.007","journal-title":"Int J Approx Reason"},{"key":"20848_CR35","doi-asserted-by":"publisher","first-page":"119283","DOI":"10.1016\/j.ins.2023.119283","volume":"645","author":"C Wu","year":"2023","unstructured":"Wu C, Yu D (2023) Generalized possibilistic C-means clustering with double weighting exponents. Inf Sci 645:119283. https:\/\/doi.org\/10.1016\/j.ins.2023.119283","journal-title":"Inf Sci"},{"key":"20848_CR36","doi-asserted-by":"publisher","unstructured":"Wu W, Keller JM (2022) Sequential possibilistic local information one-means clustering for image segmentation. IEEE International Conference on Fuzzy Systems, IEEE Press. https:\/\/doi.org\/10.1109\/FUZZ48607.2020.9177576","DOI":"10.1109\/FUZZ48607.2020.9177576"},{"key":"20848_CR37","doi-asserted-by":"publisher","first-page":"151","DOI":"10.1016\/j.ejrs.2020.06.001","volume":"24","author":"A Singh","year":"2021","unstructured":"Singh A, Kumar A, Upadhyay P (2021) A novel approach to incorporate local information in possibilistic C-means algorithm for an optical remote sensing imagery. Egyptian J Remote Sens Space Sci 24:151\u2013161. https:\/\/doi.org\/10.1016\/j.ejrs.2020.06.001","journal-title":"Egyptian J Remote Sens Space Sci"},{"issue":"12","key":"20848_CR38","doi-asserted-by":"publisher","first-page":"4229","DOI":"10.1109\/TCYB.2018.2861211","volume":"49","author":"A Saha","year":"2019","unstructured":"Saha A, Das S (2019) Stronger convergence results for the center-based fuzzy clustering with convex divergence measure. IEEE Trans Cybern 49(12):4229\u20134242. https:\/\/doi.org\/10.1109\/TCYB.2018.2861211","journal-title":"IEEE Trans Cybern"},{"key":"20848_CR39","doi-asserted-by":"publisher","first-page":"415","DOI":"10.1007\/s10700-013-9159-8","volume":"12","author":"J Zhou","year":"2013","unstructured":"Zhou J, Cao L, Yang N (2013) On the convergence of some possibilistic clustering algorithms. Fuzzy Optim Decis Making 12:415\u2013432. https:\/\/doi.org\/10.1007\/s10700-013-9159-8","journal-title":"Fuzzy Optim Decis Making"},{"issue":"1","key":"20848_CR40","doi-asserted-by":"publisher","first-page":"324","DOI":"10.1109\/TFUZZ.2017.2659739","volume":"26","author":"KD Koutroumbas","year":"2018","unstructured":"Koutroumbas KD, Xenaki SD, Rontogiannis AA (2018) On the convergence of the sparse possibilistic c-means algorithm. IEEE Trans Fuzzy Syst 26(1):324\u2013337. https:\/\/doi.org\/10.1109\/TFUZZ.2017.2659739","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"20848_CR41","doi-asserted-by":"publisher","first-page":"107245","DOI":"10.1016\/j.asoc.2021.107245","volume":"105","author":"Q Wang","year":"2021","unstructured":"Wang Q, Wang X, Fang C, Jiao J (2021) Fuzzy image clustering incorporating local and region-level information with median memberships. Appl Soft Comput 105:107245. https:\/\/doi.org\/10.1016\/j.asoc.2021.107245","journal-title":"Appl Soft Comput"},{"issue":"4","key":"20848_CR42","doi-asserted-by":"publisher","first-page":"1850012","DOI":"10.1142\/S021800141850012X","volume":"32","author":"RR Gharie","year":"2017","unstructured":"Gharie RR, Gendy G, Selim H (2017) A hard c-means clustering algorithm incorporating membership KL divergence and local data information for noisy image segmentation. Int J Pattern Recognit Artif Intell 32(4):1850012. https:\/\/doi.org\/10.1142\/S021800141850012X","journal-title":"Int J Pattern Recognit Artif Intell"},{"issue":"1","key":"20848_CR43","doi-asserted-by":"publisher","first-page":"95","DOI":"10.1162\/089120104773633402","volume":"30","author":"BM Di Eugenio","year":"2004","unstructured":"Di Eugenio BM, Glass M (2004) Squibs and discussions-the kappa statistic. Comput Linguist 30(1):95\u2013101. https:\/\/doi.org\/10.1162\/089120104773633402","journal-title":"Comput Linguist"},{"key":"20848_CR44","doi-asserted-by":"publisher","first-page":"104672","DOI":"10.1016\/j.engappai.2022.104672","volume":"110","author":"T Wei","year":"2022","unstructured":"Wei T, Wang X, Li X, Zhu S (2022) Fuzzy subspace clustering noisy image segmentation algorithm with adaptive local variance & non-local information and mean membership linking. Eng Appl Artif Intell 110:104672. https:\/\/doi.org\/10.1016\/j.engappai.2022.104672","journal-title":"Eng Appl Artif Intell"},{"key":"20848_CR45","doi-asserted-by":"publisher","unstructured":"Elkan C (2003) Using the triangle inequality to accelerate k-means. Proceedings of the Twentieth International Conference on International Conference on Machine Learning 147\u2013153. https:\/\/doi.org\/10.5555\/3041838.3041857","DOI":"10.5555\/3041838.3041857"},{"issue":"9","key":"20848_CR46","doi-asserted-by":"publisher","first-page":"3473","DOI":"10.1109\/TFUZZ.2021.3117442","volume":"30","author":"L Hu","year":"2022","unstructured":"Hu L, Pan X, Tang Z, Luo X (2022) A fast fuzzy clustering algorithm for complex networks via a generalized momentum method. IEEE Trans Fuzzy Syst 30(9):3473\u20133485. https:\/\/doi.org\/10.1109\/TFUZZ.2021.3117442","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"7","key":"20848_CR47","doi-asserted-by":"publisher","first-page":"2375","DOI":"10.1109\/TFUZZ.2021.3081990","volume":"30","author":"F Nie","year":"2022","unstructured":"Nie F, Liu C, Wang R, Wang Z, Li X (2022) Fast fuzzy clustering based on anchor graph. IEEE Trans Fuzzy Syst 30(7):2375\u20132387. https:\/\/doi.org\/10.1109\/TFUZZ.2021.3081990","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"12","key":"20848_CR48","doi-asserted-by":"publisher","first-page":"12337","DOI":"10.1109\/TKDE.2023.3273274","volume":"35","author":"D Li","year":"2023","unstructured":"Li D, Zhou S, Pedrycz W (2023) Accelerated fuzzy c-means clustering based on new affinity filtering and membership scaling. IEEE Trans Knowl Data Eng 35(12):12337\u201312349. https:\/\/doi.org\/10.1109\/TKDE.2023.3273274","journal-title":"IEEE Trans Knowl Data Eng"},{"key":"20848_CR49","doi-asserted-by":"publisher","first-page":"107769","DOI":"10.1016\/j.knosys.2021.107769","volume":"237","author":"Y Gao","year":"2022","unstructured":"Gao Y, Wang Z, Xie J, Pan J (2022) A new robust fuzzy C-means clustering method based on adaptive elastic distance. Knowl-Based Syst 237:107769. https:\/\/doi.org\/10.1016\/j.knosys.2021.107769","journal-title":"Knowl-Based Syst"},{"issue":"6","key":"20848_CR50","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1016\/j.ins.2020.10.039","volume":"550","author":"X Zhang","year":"2021","unstructured":"Zhang X, Sun Y, Liu H, Hou Z, Zhao F, Zhang C (2021) Improved clustering algorithms for image segmentation based on non-local information and back projection. Inf Sci 550(6):129\u2013144. https:\/\/doi.org\/10.1016\/j.ins.2020.10.039","journal-title":"Inf Sci"},{"key":"20848_CR51","doi-asserted-by":"publisher","first-page":"108201","DOI":"10.1016\/j.patcog.2021.108201","volume":"121","author":"H Zhang","year":"2022","unstructured":"Zhang H, Li H, Chen N, Chen S, Liu J (2022) Novel fuzzy clustering algorithm with variable multi-pixel fitting spatial information for image segmentation. Pattern Recogn 121:108201. https:\/\/doi.org\/10.1016\/j.patcog.2021.108201","journal-title":"Pattern Recogn"},{"key":"20848_CR52","doi-asserted-by":"publisher","first-page":"105928","DOI":"10.1016\/j.asoc.2019.105928","volume":"87","author":"Y Tang","year":"2020","unstructured":"Tang Y, Ren F, Pedrycz W (2020) Fuzzy C-means clustering through SSIM and patch for image segmentation. Appl Soft Comput 87:105928. https:\/\/doi.org\/10.1016\/j.asoc.2019.105928","journal-title":"Appl Soft Comput"},{"key":"20848_CR53","doi-asserted-by":"publisher","first-page":"106318","DOI":"10.1016\/j.asoc.2020.106318","volume":"92","author":"Q Wang","year":"2020","unstructured":"Wang Q, Wang X, Fang C, Yang W (2020) Robust fuzzy C-means clustering algorithm with adaptive spatial intensity constraint and membership linking for noise image segmentation. Appl Soft Comput 92:106318. https:\/\/doi.org\/10.1016\/j.asoc.2020.106318","journal-title":"Appl Soft Comput"},{"key":"20848_CR54","doi-asserted-by":"publisher","DOI":"10.1016\/j.engappai.2022.104672","volume":"110","author":"T Wei","year":"2022","unstructured":"Wei T, Wang X, Li X, Zhu S (2022) Fuzzy subspace clustering noisy image segmentation algorithm with adaptive local variance non-local information and mean membership linking. Eng Appl Artif Intell 110:104672. https:\/\/doi.org\/10.1016\/j.engappai.2022.104672","journal-title":"Eng Appl Artif Intell"},{"key":"20848_CR55","doi-asserted-by":"publisher","first-page":"5581","DOI":"10.1007\/s12652-021-02997-1","volume":"14","author":"K Li","year":"2023","unstructured":"Li K, Ni T, Xue J, Jiang Y (2023) Deep soft clustering: simultaneous deep embedding and soft-partition clustering. J Ambient Intell Humaniz Comput 14:5581\u20135593. https:\/\/doi.org\/10.1007\/s12652-021-02997-1","journal-title":"J Ambient Intell Humaniz Comput"},{"issue":"17","key":"20848_CR56","doi-asserted-by":"publisher","first-page":"9673","DOI":"10.3390\/app13179673","volume":"13","author":"MS AlZuhair","year":"2023","unstructured":"AlZuhair MS, Ismail MMB, Bchir O (2023) Soft semi-supervised deep learning-based clustering. Appl Sci 13(17):9673","journal-title":"Appl Sci"},{"issue":"12","key":"20848_CR57","doi-asserted-by":"publisher","first-page":"4321","DOI":"10.1109\/TFUZZ.2023.3283046","volume":"31","author":"M Gong","year":"2023","unstructured":"Gong M, Zhao Y, Li H, Qin AK, Xing L, Li J, Liu Y, Liu Y (2023) Deep fuzzy variable c-means clustering incorporated with curriculum learning. IEEE Trans Fuzzy Syst 31(12):4321\u20134335. https:\/\/doi.org\/10.1109\/TFUZZ.2023.3283046","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"20848_CR58","doi-asserted-by":"publisher","first-page":"110504","DOI":"10.1016\/j.patcog.2024.110504","volume":"153","author":"X Wu","year":"2024","unstructured":"Wu X, Yu Y, Chen L, Ding W, Wang Y (2024) Robust deep fuzzy-means clustering for image data. Pattern Recogn 153:110504. https:\/\/doi.org\/10.1016\/j.patcog.2024.110504","journal-title":"Pattern Recogn"},{"key":"20848_CR59","doi-asserted-by":"publisher","first-page":"3725","DOI":"10.1007\/s00500-024-09636-9","volume":"28","author":"Y Wang","year":"2024","unstructured":"Wang Y, Xue Q (2024) Fault identification of product design using fuzzy clustering generative adversarial network (FCGAN) model. Soft Comput 28:3725\u20133742. https:\/\/doi.org\/10.1007\/s00500-024-09636-9","journal-title":"Soft Comput"},{"key":"20848_CR60","doi-asserted-by":"publisher","first-page":"102123","DOI":"10.1016\/j.inffus.2023.102123","volume":"103","author":"Z Wang","year":"2024","unstructured":"Wang Z, Li L, Ning X, Tan W, Liu Y, Song H (2024) Incomplete multi-view clustering via structure exploration and missing-view inference. Information Fusion 103:102123. https:\/\/doi.org\/10.1016\/j.inffus.2023.102123","journal-title":"Information Fusion"}],"container-title":["Multimedia Tools and Applications"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-025-20848-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s11042-025-20848-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s11042-025-20848-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,10,25]],"date-time":"2025-10-25T10:50:17Z","timestamp":1761389417000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s11042-025-20848-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2025,5,5]]},"references-count":60,"journal-issue":{"issue":"35","published-online":{"date-parts":[[2025,10]]}},"alternative-id":["20848"],"URL":"https:\/\/doi.org\/10.1007\/s11042-025-20848-5","relation":{},"ISSN":["1573-7721"],"issn-type":[{"type":"electronic","value":"1573-7721"}],"subject":[],"published":{"date-parts":[[2025,5,5]]},"assertion":[{"value":"7 June 2024","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 April 2025","order":2,"name":"revised","label":"Revised","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"12 April 2025","order":3,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"5 May 2025","order":4,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"Not applicable.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}},{"value":"Not applicable.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to participate"}},{"value":"Not applicable.","order":4,"name":"Ethics","group":{"name":"EthicsHeading","label":"Consent to publish"}},{"value":"The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.","order":5,"name":"Ethics","group":{"name":"EthicsHeading","label":"Competing interest"}}]}}