{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,5]],"date-time":"2025-10-05T16:29:15Z","timestamp":1759681755668},"reference-count":41,"publisher":"Springer Science and Business Media LLC","issue":"6","license":[{"start":{"date-parts":[[2016,7,27]],"date-time":"2016-07-27T00:00:00Z","timestamp":1469577600000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Int. J. Mach. Learn. &amp; Cyber."],"published-print":{"date-parts":[[2017,12]]},"DOI":"10.1007\/s13042-016-0572-5","type":"journal-article","created":{"date-parts":[[2016,7,27]],"date-time":"2016-07-27T16:33:34Z","timestamp":1469637214000},"page":"1945-1969","update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":9,"title":["Generalized competitive agglomeration clustering algorithm"],"prefix":"10.1007","volume":"8","author":[{"given":"Chengquan","family":"Huang","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fu-lai","family":"Chung","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shitong","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2016,7,27]]},"reference":[{"issue":"9","key":"572_CR1","doi-asserted-by":"crossref","first-page":"1905","DOI":"10.1109\/TIFS.2015.2434600","volume":"10","author":"B Li","year":"2015","unstructured":"Li B, Wang M, Li XL, Tan SQ, Huang JW (2015) A strategy of clustering modification directions in spatial image steganography. IEEE Trans Inf Forensics Secur 10(9):1905\u20131917","journal-title":"IEEE Trans Inf Forensics Secur"},{"key":"572_CR2","doi-asserted-by":"crossref","first-page":"274","DOI":"10.1016\/j.ins.2014.11.045","volume":"298","author":"ZX Zhu","year":"2015","unstructured":"Zhu ZX, Jia S, He S, Sun YW, Ji Z, Shen LL (2015) Three-dimensional Gabor feature extraction for hyperspectral imagery classification using a memetic framework. Inform Sci 298:274\u2013287","journal-title":"Inform Sci"},{"issue":"5","key":"572_CR3","doi-asserted-by":"crossref","first-page":"643","DOI":"10.1109\/TEVC.2011.2160399","volume":"15","author":"ZX Zhu","year":"2011","unstructured":"Zhu ZX, Zhou JR, Ji Z, Shi YH (2011) DNA sequence compression using adaptive particle swarm optimization-based memetic algorithm. IEEE Trans Evol Comput 15(5):643\u2013658","journal-title":"IEEE Trans Evol Comput"},{"issue":"5","key":"572_CR4","doi-asserted-by":"crossref","first-page":"2329","DOI":"10.3233\/IFS-141516","volume":"28","author":"XZ Wang","year":"2015","unstructured":"Wang XZ (2015) Learning from big data with uncertainty\u2014editorial. J Intell Fuzzy Syst 28(5):2329\u20132330","journal-title":"J Intell Fuzzy Syst"},{"issue":"8","key":"572_CR5","doi-asserted-by":"crossref","first-page":"4798","DOI":"10.1016\/j.asoc.2011.07.002","volume":"11","author":"ZH Deng","year":"2011","unstructured":"Deng ZH, Choi KS, Chung FL, Wang ST (2011) EEW-SC: enhanced entropy-weighting subspace clustering for high dimensional gene expression data clustering analysis. Appl Soft Comput 11(8):4798\u20134806","journal-title":"Appl Soft Comput"},{"issue":"2","key":"572_CR6","doi-asserted-by":"crossref","first-page":"103","DOI":"10.3233\/IFS-1997-5202","volume":"5","author":"NB Karayiannis","year":"1997","unstructured":"Karayiannis NB (1997) Fuzzy partition entropies and entropy constrained fuzzy clustering algorithms. J Intell Fuzzy Syst 5(2):103\u2013111","journal-title":"J Intell Fuzzy Syst"},{"issue":"3","key":"572_CR7","doi-asserted-by":"crossref","first-page":"370","DOI":"10.1109\/91.413225","volume":"3","author":"NR Pal","year":"1995","unstructured":"Pal NR, Bezdek JC (1995) On cluster validity for the fuzzy c-means model. IEEE Trans Fuzzy Syst 3(3):370\u2013379","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"4","key":"572_CR8","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1109\/72.238318","volume":"4","author":"L Xu","year":"1993","unstructured":"Xu L, Krzyzak A, Oja E (1993) Rival penalized competitive learning for clustering analysis, RBF net, and curve detection. IEEE Trans Neural Netw 4(4):636\u2013649","journal-title":"IEEE Trans Neural Netw"},{"issue":"7","key":"572_CR9","doi-asserted-by":"crossref","first-page":"1109","DOI":"10.1016\/S0031-3203(96)00140-9","volume":"30","author":"H Frigui","year":"1997","unstructured":"Frigui H, Krishnapuram R (1997) Clustering by competitive agglomeration. Pattern Recogn 30(7):1109\u20131119","journal-title":"Pattern Recogn"},{"key":"572_CR10","doi-asserted-by":"crossref","first-page":"133","DOI":"10.1016\/j.ins.2013.05.029","volume":"246","author":"J Wang","year":"2013","unstructured":"Wang J, Wang ST, Chung FL, Deng ZH (2013) Fuzzy partition based soft subspace clustering and its applications in high dimensional data. Inform Sci 246:133\u2013154","journal-title":"Inform Sci"},{"key":"572_CR11","unstructured":"Iwayama M, Tokunaga T (1995) Hierarchical bayesian clustering for automatic text classification. In: Proc. of the\u00a014th international joint conference on artificial intelligence, pp 1322\u20131327"},{"issue":"336","key":"572_CR12","doi-asserted-by":"crossref","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","volume":"66","author":"WM Rand","year":"1971","unstructured":"Rand WM (1971) Objective criteria for the evaluation of clustering methods. J Am Stat Assoc 66(336):846\u2013850","journal-title":"J Am Stat Assoc"},{"issue":"6","key":"572_CR13","doi-asserted-by":"crossref","first-page":"845","DOI":"10.1007\/s13042-014-0227-3","volume":"5","author":"Jingjing Ma","year":"2014","unstructured":"Ma Jingjing, Tian Dayong, Gong Maoguo, Jiao Licheng (2014) Fuzzy clustering with non-local information for image segmentation. Int J Mach Learn Cybern 5(6):845\u2013859","journal-title":"Int J Mach Learn Cybern"},{"issue":"6","key":"572_CR14","doi-asserted-by":"crossref","first-page":"923","DOI":"10.1007\/s13042-015-0367-0","volume":"6","author":"AS Ludwig","year":"2015","unstructured":"Ludwig AS (2015) MapReduce-based fuzzy c-means clustering algorithm: implementation and scalability. Int J Mach Learn Cybern 6(6):923\u2013934","journal-title":"Int J Mach Learn Cybern"},{"issue":"2","key":"572_CR15","doi-asserted-by":"crossref","first-page":"197","DOI":"10.1007\/s13042-014-0255-z","volume":"6","author":"Jin Jiang","year":"2015","unstructured":"Jiang Jin, Yan Xin, Zhengtao Yu, Guo Jianyi, Tian Wei (2015) A Chinese expert disambiguation method based on semi-supervised graph clustering. Int J Mach Learn Cybern 6(2):197\u2013204","journal-title":"Int J Mach Learn Cybern"},{"issue":"2","key":"572_CR16","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1007\/s13042-012-0079-7","volume":"4","author":"T Hitendra Sarma","year":"2013","unstructured":"Hitendra Sarma T, Viswanath P, Eswara Reddy B (2013) A hybrid approach to speed-up the k-means clustering method. Int J Mach Learn Cybern 4(2):107\u2013117","journal-title":"Int J Mach Learn Cybern"},{"key":"572_CR17","unstructured":"Li RP, Mukaidono M (1995) A maximum-entropy approach to fuzzy clustering. In: Proc. of the 4th IEEE international conference on fuzzy systems, pp 2227\u20132232"},{"issue":"2","key":"572_CR18","doi-asserted-by":"crossref","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"},{"issue":"3","key":"572_CR19","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1109\/91.531779","volume":"4","author":"R Krishnapuram","year":"1996","unstructured":"Krishnapuram R, Keller JM (1996) The possibilistic C-means algorithm: insights and recommendations. IEEE Trans Fuzzy Syst 4(3):385\u2013393","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"7","key":"572_CR20","doi-asserted-by":"crossref","first-page":"555","DOI":"10.1007\/s00500-005-0517-5","volume":"10","author":"ST Wang","year":"2006","unstructured":"Wang ST, Chung FL, Deng ZH (2006) Robust maximum entropy clustering algorithm with its labeling for outliers. Soft Comput 10(7):555\u2013563","journal-title":"Soft Comput"},{"issue":"3","key":"572_CR21","doi-asserted-by":"crossref","first-page":"600","DOI":"10.1109\/TNN.2002.1000127","volume":"13","author":"CH Wei","year":"2002","unstructured":"Wei CH, Fahn CS (2002) The multisynapse neural network and its application to fuzzy clustering. IEEE Trans Neural Netw 13(3):600\u2013618","journal-title":"IEEE Trans Neural Netw"},{"key":"572_CR22","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern recognition with fuzzy objective function algorithms","author":"JC Bezdek","year":"1981","unstructured":"Bezdek JC (1981) Pattern recognition with fuzzy objective function algorithms. Plenum Press, New York"},{"key":"572_CR23","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.ins.2014.01.033","volume":"267","author":"HJ Xing","year":"2014","unstructured":"Xing HJ, Ha MH (2014) Further improvements in feature-weighted fuzzy C-means. Inform Sci 267:1\u201315","journal-title":"Inform Sci"},{"issue":"3","key":"572_CR24","doi-asserted-by":"crossref","first-page":"369","DOI":"10.1007\/s13042-013-0174-4","volume":"5","author":"Wenping Ma","year":"2014","unstructured":"Ma Wenping, Jiao Licheng, Gong Maoguo, Li Congling (2014) Image change detection based on an improved rough fuzzy c-means clustering algorithm. Int J Mach Learn Cybern 5(3):369\u2013377","journal-title":"Int J Mach Learn Cybern"},{"key":"572_CR25","first-page":"583","volume":"3","author":"S Alexander","year":"2003","unstructured":"Alexander S, Joydeep G (2003) Cluster ensembles\u2014a knowledge reuse framework for combining multiple partitions. J Mach Learn Res 3:583\u2013617","journal-title":"J Mach Learn Res"},{"issue":"3","key":"572_CR26","first-page":"227","volume":"12","author":"JT Jeng","year":"2010","unstructured":"Jeng JT, Chuang CC, Tseng CC, Juan CJ (2010) Robust interval competitive agglomeration clustering algorithm with outliers. Int J Fuzzy Syst 12(3):227\u2013236","journal-title":"Int J Fuzzy Syst"},{"key":"572_CR27","first-page":"210","volume-title":"A modified competitive agglomeration for relational data algorithm","author":"L Gandy","year":"2005","unstructured":"Gandy L, Rahimi S, Gupta B (2005) A modified competitive agglomeration for relational data algorithm. Annu Meet N Am Fuzzy Inform Process Soc, NAFIPS, pp 210\u2013215"},{"key":"572_CR28","doi-asserted-by":"crossref","unstructured":"Zhu L, Cao LB, Yang J (2011) Soft subspace clustering with competitive agglomeration. In: Proc. of the 2011 IEEE international conference on fuzzy systems, pp 691\u2013698","DOI":"10.1109\/FUZZY.2011.6007424"},{"issue":"7","key":"572_CR29","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1016\/j.patrec.2009.12.004","volume":"31","author":"Z Lu","year":"2010","unstructured":"Lu Z, Peng YX, Ip Horace HS (2010) Gaussian mixture learning via robust competitive agglomeration. Pattern Recogn Lett 31(7):539\u2013547","journal-title":"Pattern Recogn Lett"},{"issue":"1","key":"572_CR30","doi-asserted-by":"crossref","first-page":"107","DOI":"10.1109\/TFUZZ.2006.889763","volume":"15","author":"C Hwang","year":"2007","unstructured":"Hwang C, Rhee FCH (2007) Uncertain fuzzy clustering: interval type-2 fuzzy approach to c-means. IEEE Trans Fuzzy Syst 15(1):107\u2013120","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"572_CR31","doi-asserted-by":"crossref","first-page":"634","DOI":"10.1109\/TSMCB.2003.810951","volume":"34","author":"J Yu","year":"2004","unstructured":"Yu J, Cheng Q, Huang H (2004) Analysis of the weighting exponent in the FCM. IEEE Trans Syst Man Cybern (Part B) 34(1):634\u2013639","journal-title":"IEEE Trans Syst Man Cybern (Part B)"},{"issue":"3","key":"572_CR32","doi-asserted-by":"crossref","first-page":"1185","DOI":"10.3233\/IFS-151729","volume":"29","author":"XZ Wang","year":"2015","unstructured":"Wang XZ, Ashfaq RAR, Fu AM (2015) Fuzziness based sample categorization for classifier performance improvement. J Intell Fuzzy Syst 29(3):1185\u20131196","journal-title":"J Intell Fuzzy Syst"},{"issue":"1","key":"572_CR33","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1109\/TPAMI.1980.4766964","volume":"2","author":"JC Bezdek","year":"1980","unstructured":"Bezdek JC (1980) A convergence theorem for the fuzzy ISODATA clustering algorithms. IEEE Trans Pattern Anal Mach Intell 2(1):1\u20138","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"issue":"1","key":"572_CR34","first-page":"30","volume":"3","author":"JH Havrda","year":"1967","unstructured":"Havrda JH, Charvat F (1967) Quantification method of classification processes: concept of structural \u03b1-entropy. Kybernetica 3(1):30\u201335","journal-title":"Kybernetica"},{"issue":"1","key":"572_CR35","doi-asserted-by":"crossref","first-page":"39","DOI":"10.1007\/s13042-011-0038-8","volume":"3","author":"Gongde Guo","year":"2012","unstructured":"Guo Gongde, Chen Si, Chen Lifei (2012) Soft subspace clustering with an improved feature weight self-adjustment mechanism. Int J Mach Learn Cybern 3(1):39\u201349","journal-title":"Int J Mach Learn Cybern"},{"issue":"4","key":"572_CR36","doi-asserted-by":"crossref","first-page":"688","DOI":"10.1109\/TCYB.2014.2334595","volume":"45","author":"YZ Jiang","year":"2015","unstructured":"Jiang YZ, Chung FL, Wang ST, Deng ZH, Wang J, Qian PJ (2015) Collaborative fuzzy clustering from multiple weighted views. IEEE Trans Cybern 45(4):688\u2013701","journal-title":"IEEE Trans Cybern"},{"key":"572_CR37","volume-title":"Introductory mathematical statistics: principles and methods","author":"E Kreyszig","year":"1970","unstructured":"Kreyszig E (1970) Introductory mathematical statistics: principles and methods. John Wiley, New York"},{"key":"572_CR38","unstructured":"Frank A, Asuncion A (2010) UCI machine learning repository. http:\/\/archive.ics.uci.edu\/ml"},{"issue":"6","key":"572_CR39","doi-asserted-by":"crossref","first-page":"1130","DOI":"10.1109\/TFUZZ.2012.2201485","volume":"20","author":"TC Havens","year":"2012","unstructured":"Havens TC, Bezdek JC, Leckie C, Hall LO, Palaniswami M (2012) Fuzzy C-means algorithms for very large data. IEEE Trans Fuzzy Syst 20(6):1130\u20131146","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"5","key":"572_CR40","first-page":"387","volume":"6","author":"JC Bezdek","year":"1976","unstructured":"Bezdek JC (1976) A physical interpretation of fuzzy ISODATA. IEEE Trans Syst Man Cybern 6(5):387\u2013389","journal-title":"IEEE Trans Syst Man Cybern"},{"issue":"1","key":"572_CR41","doi-asserted-by":"crossref","first-page":"48","DOI":"10.3724\/SP.J.1001.2008.00048","volume":"19","author":"JG Sun","year":"2008","unstructured":"Sun JG, Liu J, Zhao LY (2008) Clustering algorithms research. J Softw 19(1):48\u201361","journal-title":"J Softw"}],"container-title":["International Journal of Machine Learning and Cybernetics"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s13042-016-0572-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0572-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0572-5","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s13042-016-0572-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,9,24]],"date-time":"2020-09-24T11:40:17Z","timestamp":1600947617000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s13042-016-0572-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2016,7,27]]},"references-count":41,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2017,12]]}},"alternative-id":["572"],"URL":"https:\/\/doi.org\/10.1007\/s13042-016-0572-5","relation":{},"ISSN":["1868-8071","1868-808X"],"issn-type":[{"value":"1868-8071","type":"print"},{"value":"1868-808X","type":"electronic"}],"subject":[],"published":{"date-parts":[[2016,7,27]]}}}