{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,19]],"date-time":"2025-09-19T10:57:09Z","timestamp":1758279429879,"version":"3.37.3"},"reference-count":59,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T00:00:00Z","timestamp":1654560000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T00:00:00Z","timestamp":1654560000000},"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":["Appl Intell"],"published-print":{"date-parts":[[2023,2]]},"DOI":"10.1007\/s10489-022-03703-0","type":"journal-article","created":{"date-parts":[[2022,6,7]],"date-time":"2022-06-07T02:02:41Z","timestamp":1654567361000},"page":"4327-4349","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["A novel efficient clustering\u00a0algorithm based on possibilistic approach and kernel technique for image clustering problems"],"prefix":"10.1007","volume":"53","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4070-4964","authenticated-orcid":false,"given":"Souad","family":"Azzouzi","sequence":"first","affiliation":[]},{"given":"Amal","family":"Hjouji","sequence":"additional","affiliation":[]},{"given":"Jaouad","family":"EL-Mekkaoui","sequence":"additional","affiliation":[]},{"given":"Ahmed","family":"EL Khalfi","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2022,6,7]]},"reference":[{"key":"3703_CR1","doi-asserted-by":"crossref","unstructured":"Chester U, Ratsaby J (2013) \u201cMachine Learning for Image Classification and Clustering Using a Universal Distance Measure\u201d, International Conference on Similarity Search and Applications, SISAP 2013: Similarity Search and Applications pp 59\u201372, Part of the Lecture Notes in Computer Science book series, (LNCS, volume 8199)","DOI":"10.1007\/978-3-642-41062-8_7"},{"key":"3703_CR2","doi-asserted-by":"crossref","unstructured":"Stetco A, Zeng X-J, Keane J (2015). Fuzzy C-means++: Fuzzy C-means with effective seeding initialization.\u00a0Expert Syst Appl 42(21):7541\u20137548","DOI":"10.1016\/j.eswa.2015.05.014"},{"key":"3703_CR3","first-page":"13","volume":"6","author":"Z Cebeci","year":"2015","unstructured":"Cebeci Z, Yildiz F (2015) Comparison of k-means and fuzzy c-means algorithms on different cluster structures. J Agric Inf 6:13\u201323","journal-title":"J Agric Inf"},{"issue":"1","key":"3703_CR4","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1109\/MCI.2018.2881643","volume":"14","author":"EH Ruspini","year":"2019","unstructured":"Ruspini EH, Bezdek JC, Keller JM (2019) Fuzzy clustering: a historical perspective. IEEE Comput Intell Mag 14(1):45\u201355","journal-title":"IEEE Comput Intell Mag"},{"issue":"115913","key":"3703_CR5","doi-asserted-by":"publisher","first-page":"115913","DOI":"10.1016\/j.eswa.2021.115913","volume":"187","author":"M Naderipoura","year":"2022","unstructured":"Naderipoura M, Hossein M, Zarandia F, Bastanib S (2022) A fuzzy cluster-validity index based on the topology structure and node attribute in complex networks. Expert Syst Appl 187(115913):115913","journal-title":"Expert Syst Appl"},{"key":"3703_CR6","first-page":"1","volume":"7094046","author":"E Rubio","year":"2017","unstructured":"Rubio E, Castillo O, Valdez F, Melin P, Gonzalez CI, Martinez G (2017) An Extension of the Fuzzy Possibilistic Clustering Algorithm Using Type-2 Fuzzy Logic Techniques. Adv Fuzzy Syst 7094046:1\u20137094046:23","journal-title":"Adv Fuzzy Syst"},{"key":"3703_CR7","doi-asserted-by":"publisher","first-page":"108","DOI":"10.14445\/22312803\/IJCTT-V10P119","volume":"10","author":"DJ Bora","year":"2014","unstructured":"Bora DJ, Gupta AK (2014) A comparative study between fuzzy clustering algorithm and hard clustering algorithm. Int J Computer Trends Technol 10:108\u2013113","journal-title":"Int J Computer Trends Technol"},{"key":"3703_CR8","doi-asserted-by":"crossref","unstructured":"Zadeh LA (1965) Fuzzy sets. Inf Control 8(3):338\u2013353","DOI":"10.1016\/S0019-9958(65)90241-X"},{"key":"3703_CR9","volume-title":"Clustering algorithms","author":"J Hartigan","year":"1975","unstructured":"Hartigan J (1975) Clustering algorithms. Wiley, New York"},{"key":"3703_CR10","first-page":"238","volume":"2","author":"C Darken","year":"1990","unstructured":"Darken C, Moody J (1990) Fast adaptive k-means clustering: Some empirical results. Proc of Int Joint Conf Neural Netw 2:238\u2013242","journal-title":"Proc of Int Joint Conf Neural Netw"},{"issue":"1","key":"3703_CR11","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TPAMI.1980.4766964","volume":"2","author":"J Bezdek","year":"1980","unstructured":"Bezdek J (1980) A convergence theorem for the fuzzy isodata clustering algorithms. IEEE Trans Pattern Anal Mach Intell PAMI 2(1):1\u20138","journal-title":"IEEE Trans Pattern Anal Mach Intell PAMI"},{"key":"3703_CR12","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern recognition with fuzzy objective function algorithms","author":"J Bezdek","year":"1981","unstructured":"Bezdek J (1981) Pattern recognition with fuzzy objective function algorithms. Plenum, New York"},{"key":"3703_CR13","doi-asserted-by":"crossref","unstructured":"Cebeci Z, Kavlak AT, Y\u0131ld\u0131z F (2017) Validation of fuzzy and possibilistic clustering results. International Artificial Intelligence and Data Processing Symposium, IEEE, Turkey","DOI":"10.1109\/IDAP.2017.8090183"},{"key":"3703_CR14","doi-asserted-by":"publisher","first-page":"713","DOI":"10.1109\/TFUZZ.2002.805899","volume":"10","author":"RN Dave","year":"2002","unstructured":"Dave RN, Sen S (2002) Robust fuzzy clustering of relational data. IEEE Trans Fuzzy Syst 10:713\u2013727","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"3703_CR15","doi-asserted-by":"crossref","unstructured":"Park DC (2010) Intuitive fuzzy C-means algorithm for MRI segmentation. IEEE, International Conference on Information Science and Applications(ICISA), Seoul, Korea (South),\u00a0pp 1\u20137","DOI":"10.1109\/ICISA.2010.5480541"},{"key":"3703_CR16","doi-asserted-by":"publisher","first-page":"120","DOI":"10.1109\/TFUZZ.2011.2170175","volume":"20","author":"HC Huang","year":"2012","unstructured":"Huang HC, Chuang YY, Chen CS (2012) Multiple Kernel Fuzzy Clustering. IEEE Trans Fuzzy Syst 20:120\u2013134","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"3703_CR17","first-page":"33","volume":"7","author":"K \u015eanl\u0131","year":"2006","unstructured":"\u015eanl\u0131 K, Apayd\u0131n A (2006) Robust k\u00fcmeleme y\u00f6ntemleri. Anadolu \u00dcniversitesi Bilim ve Teknoloji Dergisi 7:33\u201339","journal-title":"Anadolu \u00dcniversitesi Bilim ve Teknoloji Dergisi"},{"key":"3703_CR18","doi-asserted-by":"publisher","first-page":"2513","DOI":"10.15666\/aeer\/1603_25132526","volume":"16","author":"O Ozdemir","year":"2018","unstructured":"Ozdemir O, Kaya A (2018) K-medoids and fuzzy c-means algorithms for clustering CO2 emissions of Turkey and other OECD countries. Appl Ecol Environ Res 16:2513\u20132526","journal-title":"Appl Ecol Environ Res"},{"issue":"2","key":"3703_CR19","doi-asserted-by":"publisher","first-page":"98","DOI":"10.1109\/91.227387","volume":"1","author":"R Krishnapuram","year":"1993","unstructured":"Krishnapuram R, Keller JM (1993) A possibilistic approach to clustering. IEEE Trans Fuzzy Syst 1(2):98\u2013110","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"3703_CR20","doi-asserted-by":"crossref","unstructured":"Almeida RJ, Sousa JMC (2006) Comparison of fuzzy clustering algorithms for clustering. IEEE International Symposium on Evolving Fuzzy Systems, UK, pp 112\u2013117","DOI":"10.1109\/ISEFS.2006.251138"},{"issue":"3","key":"3703_CR21","doi-asserted-by":"publisher","first-page":"393","DOI":"10.1109\/91.531780","volume":"4","author":"M Barni","year":"1996","unstructured":"Barni M, Cappellini V, Mecocci A (1996) Comments on a Possibilistic approach to clustering. IEEE Trans Fuzzy Systems 4(3):393\u2013396","journal-title":"IEEE Trans Fuzzy Systems"},{"key":"3703_CR22","unstructured":"Timm H, Borgelt C, Doring C, Kruse R (2001) Fuzzy cluster analysis with cluster repulsion. Presented at the Euro. Symp. Intelligent Technologies (EUNITE), Tenerife, Spain"},{"key":"3703_CR23","unstructured":"Timm H, Kruse R (2002) A modification to improve possibilistic fuzzy cluster analysis. In:\u00a02002 IEEE World Congress on Computational Intelligence. 2002 IEEE International Conference on Fuzzy Systems. FUZZ-IEEE\u201902. Proceedings (Cat. No.02CH37291), Honolulu, vol 2, pp 1460\u20131465"},{"key":"3703_CR24","doi-asserted-by":"crossref","unstructured":"Timm H, Borgelt C, Doring C, Kruse R\u00a0(2004) An extension to possibilistic fuzzy cluster analysis.\u00a0Fuzzy Sets Syst 147(1):3\u201316","DOI":"10.1016\/j.fss.2003.11.009"},{"key":"3703_CR25","doi-asserted-by":"crossref","unstructured":"Gustafson D, Kessel W (1978) Fuzzy clustering with a fuzzy covariance matrix. In: Proc. IEEE Conf. Decision and Control, San Diego, vol 2, pp 761\u2013766","DOI":"10.1109\/CDC.1978.268028"},{"key":"3703_CR26","first-page":"179","volume":"1","author":"NR Pal","year":"2004","unstructured":"Pal NR, Pal K, Bezdek JC (2004) A new hybrid c-means clustering model. Proceedings of the IEEE International Conference On Fuzzy Systems 1:179\u2013184","journal-title":"Proceedings of the IEEE International Conference On Fuzzy Systems"},{"key":"3703_CR27","first-page":"11","volume-title":"A mixed c-means clustering model","author":"NR Pal","year":"1997","unstructured":"Pal NR, Pal K, Bezdek JC (1997) A mixed c-means clustering model. IEEE Int. Conf. Fuzzy Systems, Spain, pp 11\u201321"},{"key":"3703_CR28","doi-asserted-by":"crossref","unstructured":"Jafar MOA, Sivakumar R\u00a0(2012) A study on possibilistic and fuzzy possibilistic C-means clustering algorithms for data clustering. In:\u00a02012 International Conference on Emerging Trends in Science, Engineering and Technology (INCOSET), pp 90\u201395","DOI":"10.1109\/INCOSET.2012.6513887"},{"issue":"4","key":"3703_CR29","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 on Fuzzy Systems 13(4):517\u2013530","journal-title":"IEEE Trans on Fuzzy Systems"},{"key":"3703_CR30","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1016\/j.asoc.2016.12.049","volume":"53","author":"S Askari","year":"2017","unstructured":"Askari S, Montazerin N, Zarandi MHF (2017) Generalized Possibilistic Fuzzy C-Means with novel cluster validity indices for clustering noisy data. Appl Soft Comput 53:262\u2013283","journal-title":"Appl Soft Comput"},{"issue":"2017","key":"3703_CR31","doi-asserted-by":"publisher","first-page":"186","DOI":"10.1016\/j.neucom.2016.09.025","volume":"219","author":"S Askari","year":"2017","unstructured":"Askari S, Montazerin N, Zarandi MHF, Hakimi E et al (2017) Generalized entropy based possibilistic fuzzy C-Means for clustering noisy data and its convergence proof. Neurocomputing 219(2017):186\u2013202","journal-title":"Neurocomputing"},{"key":"3703_CR32","unstructured":"Zhang L, Zhou WD, Jiao LC (2002) Kernel clustering algorithm. Chinese J Comput 25(6):587\u2013590"},{"key":"3703_CR33","unstructured":"Vapnik VN (1998) Statistical learning theory. Wiley\u2013Blackwell,\u00a0New York"},{"issue":"13","key":"3703_CR34","doi-asserted-by":"publisher","first-page":"780","DOI":"10.1109\/TNN.2002.1000150","volume":"13","author":"M Girolami","year":"2002","unstructured":"Girolami M (2002) Mercer kernel based clustering in feature space. IEEE Trans On Neural Networks 13(13):780\u2013784","journal-title":"IEEE Trans On Neural Networks"},{"key":"3703_CR35","unstructured":"Wu Z, Xie W, Yu J (2003) Fuzzy C-means clustering algorithm based on kernel method: In: Proceedings Fifth International Conference on Computational Intelligence and Multimedia Applications. ICCIMA 2003, pp 49\u201354"},{"key":"3703_CR36","first-page":"465","volume":"02","author":"X-H Wu","year":"2005","unstructured":"Wu X-H, Zhou J-J (2005) Possibilistic Fuzzy c-Means Clustering Model Using Kernel Methods. CIMCA-IAWTIC'06, IEEE 02:465\u2013470","journal-title":"CIMCA-IAWTIC'06, IEEE"},{"key":"3703_CR37","unstructured":"\u015eahinli F (1999) K\u00fcmeleme Analizine Fuzzy Set Teorisi Yakla\u015f\u0131m\u0131. \u2013 Y\u00fcksek Lisans Tezi, \u0130statistik, Gazi \u00dcniversitesi Fen bilimleri Enstit\u00fcs\u00fc, Ankara.119"},{"key":"3703_CR38","doi-asserted-by":"crossref","unstructured":"Lin L-P, Huang P-W, Kuo CH, Lai YH (2014) A size-insensitive integrity-based fuzzy c-means method for data clustering. Pattern Recognit 47(5):2042\u20132056","DOI":"10.1016\/j.patcog.2013.11.031"},{"key":"3703_CR39","first-page":"1","volume":"3931","author":"F Camastra","year":"2005","unstructured":"Camastra F (2005) Kernel Methods for Clustering. Lect Notes Comput Sci 3931:1\u20139","journal-title":"Lect Notes Comput Sci"},{"issue":"8","key":"3703_CR40","doi-asserted-by":"publisher","first-page":"1750","DOI":"10.1016\/j.patcog.2011.02.009","volume":"44","author":"D-M Tsai","year":"2011","unstructured":"Tsai D-M, Lin C-C (2011) Fuzzy C-means based clustering for linearly and nonlinearly separable data. Pattern Recogn 44(8):1750\u20131760","journal-title":"Pattern Recogn"},{"key":"3703_CR41","doi-asserted-by":"crossref","unstructured":"Baraldi A, Blonda P (1999) A survey of fuzzy clustering algorithms for pattern recognition. I. IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) ( Volume: 29, Issue: 6, Dec. 1999)","DOI":"10.1109\/3477.809032"},{"key":"3703_CR42","doi-asserted-by":"crossref","unstructured":"Sankar K, Nirmala K (2015) Orthogonal Features based Clustering of Micro calcification in Mammogram using Jacobi Moments. Indian J Sci Technol 8(15)","DOI":"10.17485\/ijst\/2015\/v8i15\/73229"},{"key":"3703_CR43","doi-asserted-by":"crossref","unstructured":"Lenze B, Locher F (1988) Jacobi moments and a family of special orthogonal polynomials, Numerical integration, III (Oberwolfach, 1987) Internat. Schriftenreihe Numer. Math, vol 85, Birkh\u00e4user, Basel, pp 99\u2013110. MR 1021527","DOI":"10.1007\/978-3-0348-6398-8_10"},{"key":"3703_CR44","doi-asserted-by":"crossref","unstructured":"Yap\u00a0P-T, Paramesran R (2004) Jacobi moments as image features. In:\u00a02004 IEEE Region 10 Conference TENCON 2004,\u00a0vol A, pp 594\u2013597 Vol 1","DOI":"10.1109\/TENCON.2004.1414490"},{"key":"3703_CR45","doi-asserted-by":"publisher","first-page":"107748","DOI":"10.1016\/j.patcog.2020.107748","volume":"113","author":"J Zhou","year":"2021","unstructured":"Zhou J, Pedrycz W, Yue X, Gao C, Lai Z, Wan J (2021) Projected fuzzy C-means clustering with locality preservation. Pattern Recogn J 113:107748","journal-title":"Pattern Recogn J"},{"key":"3703_CR46","doi-asserted-by":"crossref","unstructured":"Xu J, Zhao T, Feng G, Ni M, Ou S (2020) A fuzzy C-means clustering algorithm based on spatial context model for image segmentation.\u00a0Int J Fuzzy Syst 23","DOI":"10.1007\/s40815-020-01015-4"},{"key":"3703_CR47","doi-asserted-by":"crossref","unstructured":"Szeg\u0151 G (1939) Orthogonal polynomials. American Mathematical Society Colloquium Publications, Providence, Rhode Island, vol 23","DOI":"10.1090\/coll\/023"},{"key":"3703_CR48","doi-asserted-by":"crossref","unstructured":"Qi G, Hua X, Rui Y, Tang J, Mei T, Zhang H (2007) Correlative multi-label video annotation. In: Proc. ACM Multimedia, pp 17\u201326","DOI":"10.1145\/1291233.1291245"},{"key":"3703_CR49","doi-asserted-by":"crossref","unstructured":"Qi G-J, Liu W, Aggarwal C, Huang T\u00a0(2017) Joint Intermodal and Intramodal Label Transfers for Extremely Rare or Unseen Classes.\u00a0IEEE Trans Pattern Anal Mach Intell 39(7):1360\u20131373","DOI":"10.1109\/TPAMI.2016.2587643"},{"issue":"1\u20133","key":"3703_CR50","doi-asserted-by":"publisher","first-page":"157","DOI":"10.1007\/s11263-007-0090-8","volume":"77","author":"B Russell","year":"2008","unstructured":"Russell B, Torralba A, Murphy K, Freeman W (2008) La belme: \u201ca database and web-based tool for image annotation\u201d. IJCV 77(1\u20133):157\u2013173","journal-title":"IJCV"},{"issue":"1\u20132","key":"3703_CR51","first-page":"86","volume":"75","author":"S Sclaroff","year":"1999","unstructured":"Sclaroff S, Cascia M, Sethi S, Taycher L (1999) Unifying textual and visual cues for content-based image retrieval on the world wide web. CVIU 75(1\u20132):86\u201398","journal-title":"CVIU"},{"key":"3703_CR52","doi-asserted-by":"crossref","unstructured":"J\u00e8gou H, ChumO\u00a0(2012) Negative evidences and co-occurences in image retrieval: the benefit of PCA and whitening. In: Computer Vision \u2013 ECCV 2012, Berlin, Heidelberg, pp 774\u2011787","DOI":"10.1007\/978-3-642-33709-3_55"},{"key":"3703_CR53","doi-asserted-by":"crossref","unstructured":"Shen X, Lin Z, Brandt J, Wu Y (2012) Mobile product image search by automatic query object extraction. In ECCV, pages 114\u2013127","DOI":"10.1007\/978-3-642-33765-9_9"},{"key":"3703_CR54","doi-asserted-by":"crossref","unstructured":"Wu Y, Tian Q, Huang T (2000) Discriminant-em algorithm with application to image retrieval. In CVPR, pages 1222\u20131227","DOI":"10.1109\/CVPR.2000.855823"},{"issue":"2","key":"3703_CR55","doi-asserted-by":"publisher","first-page":"105","DOI":"10.1016\/0031-3203(78)90018-3","volume":"10","author":"K Gowda","year":"1978","unstructured":"Gowda K, Krishna G (1978) Agglomerative clustering using the concept of mutual nearest neighbourhood. Pattern Recogn 10(2):105\u2013112","journal-title":"Pattern Recogn"},{"issue":"2","key":"3703_CR56","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1109\/MSP.2010.939739","volume":"28","author":"R Vidal","year":"2011","unstructured":"Vidal R (2011) Subspace clustering. IEEE Signal Process Mag 28(2):52\u201368","journal-title":"IEEE Signal Process Mag"},{"issue":"1","key":"3703_CR57","doi-asserted-by":"publisher","first-page":"180","DOI":"10.1109\/TKDE.2014.2324592","volume":"27","author":"J Wang","year":"2015","unstructured":"Wang J, Wang J, Song J, Xu X, Shen H, Li S (2015) Optimized cartesian k-means. IEEE Trans Knowl Data Eng 27(1):180\u2013192","journal-title":"IEEE Trans Knowl Data Eng"},{"issue":"10","key":"3703_CR58","first-page":"2761","volume":"19","author":"Y Yang","year":"2010","unstructured":"Yang Y, Xu D, Nie F, Yan S, Zhuang Y (2010) Image clustering using local discriminant models and global integration. T-IP 19(10):2761\u20132773","journal-title":"T-IP"},{"key":"3703_CR59","unstructured":"Yu J (2003) General c-means clustering model and its application. In CVPR, pages 122\u2013127"}],"container-title":["Applied Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03703-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s10489-022-03703-0\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s10489-022-03703-0.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,26]],"date-time":"2024-09-26T15:03:20Z","timestamp":1727363000000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s10489-022-03703-0"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,7]]},"references-count":59,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2023,2]]}},"alternative-id":["3703"],"URL":"https:\/\/doi.org\/10.1007\/s10489-022-03703-0","relation":{},"ISSN":["0924-669X","1573-7497"],"issn-type":[{"type":"print","value":"0924-669X"},{"type":"electronic","value":"1573-7497"}],"subject":[],"published":{"date-parts":[[2022,6,7]]},"assertion":[{"value":"29 April 2022","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"7 June 2022","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that the essay serves no personal or organizational interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}},{"value":"This article does not contain any studies with human participants or animals performed by any of the authors.","order":3,"name":"Ethics","group":{"name":"EthicsHeading","label":"Ethical approval"}}]}}