{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2023,9,2]],"date-time":"2023-09-02T06:44:34Z","timestamp":1693637074431},"reference-count":32,"publisher":"Springer Science and Business Media LLC","issue":"2","license":[{"start":{"date-parts":[[2006,3,3]],"date-time":"2006-03-03T00:00:00Z","timestamp":1141344000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Soft Comput"],"published-print":{"date-parts":[[2007,1]]},"DOI":"10.1007\/s00500-006-0056-8","type":"journal-article","created":{"date-parts":[[2006,3,2]],"date-time":"2006-03-02T09:28:46Z","timestamp":1141291726000},"page":"103-113","source":"Crossref","is-referenced-by-count":6,"title":["Possibility Theoretic Clustering and its Preliminary Application to Large Image Segmentation"],"prefix":"10.1007","volume":"11","author":[{"given":"Fu-lai","family":"Chung","sequence":"first","affiliation":[]},{"given":"Shitong","family":"Wang","sequence":"additional","affiliation":[]},{"given":"M.","family":"Xu","sequence":"additional","affiliation":[]},{"given":"Dewen","family":"Hu","sequence":"additional","affiliation":[]},{"given":"Qing","family":"Lin","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2006,3,3]]},"reference":[{"key":"56_CR1","doi-asserted-by":"crossref","unstructured":"Aggrawal R, Gehrke J, Gunopulos D, Raghavan P (1998) Automatic subspace clustering of high dimensional data for data mining applications. In: Proceedings of 1998 ACM SIGMOD International Conference Management of Data, Seattle, Washington, pp 94\u2013105","DOI":"10.1145\/276304.276314"},{"key":"56_CR2","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4757-0450-1","volume-title":"Pattern recognition with fuzzy objective function algorithm","author":"JC. Bezdek","year":"1981","unstructured":"Bezdek JC. (1981) Pattern recognition with fuzzy objective function algorithm. Plenum, New York"},{"issue":"3","key":"56_CR3","doi-asserted-by":"crossref","first-page":"539","DOI":"10.1016\/0893-6080(94)90111-2","volume":"7","author":"FL Chung","year":"1994","unstructured":"Chung FL, Lee T (1994) Fuzzy competitive learning. Neural Netw 7(3):539\u2013552","journal-title":"Neural Netw"},{"key":"56_CR4","doi-asserted-by":"crossref","DOI":"10.1002\/9781119115151","volume-title":"Statistics for spatial data","author":"N Cressie","year":"1993","unstructured":"Cressie N (1993) Statistics for spatial data. Wiley, New York"},{"key":"56_CR5","unstructured":"Ester M, Kriegel HP, Sander J, Xu X. (1996) A density based algorithm for discovering clusters in large spatial databases with noise. Proceedings of International Conference Knowledge Discovery and Databases, pp 226\u2013231"},{"key":"56_CR6","doi-asserted-by":"crossref","first-page":"265","DOI":"10.1023\/A:1026319107706","volume":"53","author":"C Gentile","year":"2003","unstructured":"Gentile C (2003) The robustness of the p-norm algorithms. Mach Learn 53:265\u2013299","journal-title":"Mach Learn"},{"issue":"2","key":"56_CR7","doi-asserted-by":"crossref","first-page":"158","DOI":"10.1109\/34.982897","volume":"24","author":"E Gokcay","year":"2002","unstructured":"Gokcay E, Principe JC (2002) Information theoretic clustering. IEEE Trans Pattern Anal Mach Intell 24(2):158\u2013171","journal-title":"IEEE Trans Pattern Anal Mach Intell"},{"key":"56_CR8","unstructured":"Guo P (2001) Exponential possibilistic data analysis for operations research. Ph.D. thesis (Osaka Prefecture University)"},{"issue":"1","key":"56_CR9","doi-asserted-by":"crossref","first-page":"149","DOI":"10.1016\/S0165-0114(99)00106-2","volume":"119","author":"P Guo","year":"2001","unstructured":"Guo P, Tanaka H (2001) Fuzzy DEA: A perceptual evaluation method. Fuzzy Sets Syst 119(1):149\u2013160","journal-title":"Fuzzy Sets Syst"},{"key":"56_CR10","doi-asserted-by":"crossref","unstructured":"Jacas J, Recasons J The group of isometries of an indistinguishability operator. Fuzzy Sets Syst (to appear)","DOI":"10.1016\/j.fss.2003.11.004"},{"issue":"5","key":"56_CR11","doi-asserted-by":"crossref","first-page":"1170","DOI":"10.1109\/TKDE.2003.1232271","volume":"15","author":"G Kollios","year":"2003","unstructured":"Kollios G, Gunopulos D, Koudas N, et\u00a0al. (2003) Efficient biased sampling for approximate clustering and outlier detection in large data sets. IEEE Trans Knowledge Data Eng 15(5):1170\u20131187","journal-title":"IEEE Trans Knowledge Data Eng"},{"issue":"2","key":"56_CR12","doi-asserted-by":"crossref","first-page":"98","DOI":"10.1109\/91.227387","volume":"1","author":"R Krishnapuram","year":"1993","unstructured":"Krishnapuram R, Keller J (1993) A possibilistic approach to clustering. IEEE Trans Fuzzy Syst 1(2):98\u2013110","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"3","key":"56_CR13","doi-asserted-by":"crossref","first-page":"385","DOI":"10.1109\/91.531779","volume":"4","author":"R Krishnapuram","year":"1996","unstructured":"Krishnapuram R, Keller J (1996) The possibilistic c-means algorithm: Insights and recommendations. IEEE Trans Fuzzy Syst 4(3):385\u2013393","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"56_CR14","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1109\/91.366564","volume":"3","author":"R Krishnapuram","year":"1995","unstructured":"Krishnapuram R, Frigui H, Nasraoui O (1995) Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation\u2013Part I. IEEE Trans Fuzzy Syst 3(1):29\u201343","journal-title":"IEEE Trans Fuzzy Syst"},{"issue":"1","key":"56_CR15","doi-asserted-by":"crossref","first-page":"44","DOI":"10.1109\/91.366570","volume":"3","author":"R Krishnapuram","year":"1995","unstructured":"Krishnapuram R, Frigui H, Nasraoui O (1995) Fuzzy and possibilistic shell clustering algorithms and their application to boundary detection and surface approximation\u2013Part II. IEEE Trans Fuzzy Syst 3(1):44\u201360","journal-title":"IEEE Trans Fuzzy Syst"},{"key":"56_CR16","unstructured":"Masulli F, Rovetta S (2002) Soft transition from probabilistic to possibilistic fuzzy clustering. DISI Technical Report No. DISI-TR-02\u201303, Italy"},{"key":"56_CR17","doi-asserted-by":"crossref","unstructured":"Medasani S, Krishnapuram R (1994) Image thresholding via possibilistic clustering. Proceedings of NAFIPS\/IFIS\/NASA\u201994, pp.423\u2013426,","DOI":"10.1109\/IJCF.1994.375074"},{"issue":"5","key":"56_CR18","doi-asserted-by":"crossref","first-page":"598","DOI":"10.1109\/TSMCB.2002.1033179","volume":"32","author":"NR Pal","year":"2002","unstructured":"Pal NR, Bezdek JC (2002) Complexity reduction for \u201clarge image\u201d processing. IEEE Trans on Systems, Man and Cybernetics\u2013Part B. Cybernetics, 32(5):598\u2013611","journal-title":"IEEE Trans on Systems, Man and Cybernetics\u2013Part B. Cybernetics,"},{"key":"56_CR19","volume-title":"Digital picture processing","author":"A Rosenfeld","year":"1982","unstructured":"Rosenfeld A, Kak AC (1982) Digital picture processing. Academic, New York"},{"key":"56_CR20","doi-asserted-by":"crossref","DOI":"10.1002\/9780470316849","volume-title":"Multivariate density estimation: theory, practice and visualization","author":"D Scott","year":"1992","unstructured":"Scott D (1992) Multivariate density estimation: theory, practice and visualization. Wiley, New York"},{"issue":"3","key":"56_CR21","doi-asserted-by":"crossref","first-page":"567","DOI":"10.1111\/0824-7935.00163","volume":"17","author":"K Sugihara","year":"2001","unstructured":"Sugihara K, Tanaka H (2001) Interval evaluations in the analytic hierarchy process by possibility analysis. Comput Intell 17(3):567\u2013579","journal-title":"Comput Intell"},{"key":"56_CR22","volume-title":"Possibilistic data analysis for operations research","author":"H Tanaka","year":"1999","unstructured":"Tanaka H, Guo P (1999) Possibilistic data analysis for operations research. Physica-Verlag, New York"},{"key":"56_CR23","doi-asserted-by":"crossref","first-page":"123","DOI":"10.1016\/0888-613X(93)90024-8","volume":"8","author":"H Tanaka","year":"1993","unstructured":"Tanaka H, Ishibuchi H (1993) Evidence theory of exponential possibility distributions. Int J Approximate Reasoning 8:123\u2013140","journal-title":"Int J Approximate Reasoning"},{"key":"56_CR24","unstructured":"Wang ST (1998) Fuzzy systems, fuzzy neural networks and their programming. Press of Shanghai Sci and Tech."},{"key":"56_CR25","doi-asserted-by":"crossref","DOI":"10.1007\/978-1-4899-4493-1","volume-title":"Kernel smoothing","author":"MP Wand","year":"1995","unstructured":"Wand MP, Jones MC (1995) Kernel smoothing. Chapman and Hall, New York"},{"issue":"4","key":"56_CR26","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1142\/S0218001402001769","volume":"16","author":"ST Wang","year":"2002","unstructured":"Wang ST, Jiang H, Lu HJ (2002) A new integrated clustering algorithm GFC and switching regressions. Pattern Recognit Artif Intell 16(4):433\u2013447","journal-title":"Pattern Recognit Artif Intell"},{"issue":"3","key":"56_CR27","first-page":"65","volume":"4","author":"ST Wang","year":"2004","unstructured":"Wang ST et\u00a0al (2004) Gene selection for cancer classification using the new classification algorithm. Chinese J Bioinformatics 4(3):65\u201377","journal-title":"Chinese J Bioinformatics"},{"issue":"3","key":"56_CR28","first-page":"70","volume":"6","author":"ST Wang","year":"2004","unstructured":"Wang ST et\u00a0al (2004) Robust maximum entropy clustering algorithm RMEC and its labeling for outliers. Eng Sci China 6(3):70\u201383","journal-title":"Eng Sci China"},{"issue":"5","key":"56_CR29","doi-asserted-by":"crossref","first-page":"366","DOI":"10.1007\/s00500-003-0302-2","volume":"8","author":"ST Wang","year":"2004","unstructured":"Wang ST, Chung FL, Shen HB, Zhu RQ (2004) Note on the relationship between probabilistic and fuzzy clustering. Int J Soft Comput 8(5):366\u2013369","journal-title":"Int J Soft Comput"},{"key":"56_CR30","doi-asserted-by":"crossref","first-page":"261","DOI":"10.1016\/S0165-0114(01)00206-8","volume":"128","author":"RR Yager","year":"2002","unstructured":"Yager RR (2002) On the instantiation of possibility distributions. Fuzzy Sets Syst 128:261\u2013266","journal-title":"Fuzzy Sets Syst"},{"key":"56_CR31","unstructured":"Yan P et\u00a0al. (2001) Neurocomputation and evolutionary strategies. Press of Tsinghua University"},{"key":"56_CR32","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/0165-0114(78)90029-5","volume":"1","author":"LA Zadeh","year":"1978","unstructured":"Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst 1:3\u201328","journal-title":"Fuzzy Sets Syst"}],"container-title":["Soft Computing"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-006-0056-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00500-006-0056-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00500-006-0056-8","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,5,28]],"date-time":"2019-05-28T21:39:47Z","timestamp":1559079587000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00500-006-0056-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2006,3,3]]},"references-count":32,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2007,1]]}},"alternative-id":["56"],"URL":"https:\/\/doi.org\/10.1007\/s00500-006-0056-8","relation":{},"ISSN":["1432-7643","1433-7479"],"issn-type":[{"value":"1432-7643","type":"print"},{"value":"1433-7479","type":"electronic"}],"subject":[],"published":{"date-parts":[[2006,3,3]]}}}