{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,16]],"date-time":"2026-03-16T10:10:42Z","timestamp":1773655842675,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":45,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642275333","type":"print"},{"value":"9783642275340","type":"electronic"}],"license":[{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2012,1,1]],"date-time":"2012-01-01T00:00:00Z","timestamp":1325376000000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2012]]},"DOI":"10.1007\/978-3-642-27534-0_1","type":"book-chapter","created":{"date-parts":[[2012,2,15]],"date-time":"2012-02-15T14:44:57Z","timestamp":1329317097000},"page":"3-18","source":"Crossref","is-referenced-by-count":6,"title":["Incremental Kernel Fuzzy c-Means"],"prefix":"10.1007","author":[{"given":"Timothy C.","family":"Havens","sequence":"first","affiliation":[]},{"given":"James C.","family":"Bezdek","sequence":"additional","affiliation":[]},{"given":"Marimuthu","family":"Palaniswami","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"issue":"2","key":"1_CR1","doi-asserted-by":"publisher","first-page":"369","DOI":"10.1073\/pnas.0810600105","volume":"106","author":"M. Belabbas","year":"2009","unstructured":"Belabbas, M., Wolfe, P.: Spectral methods in machine learning and new strategies for very large datasets. Proc. National Academy of Sciences\u00a0106(2), 369\u2013374 (2009)","journal-title":"Proc. National Academy of Sciences"},{"key":"1_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1109\/TPAMI.1980.4766964","volume":"2","author":"J. Bezdek","year":"1980","unstructured":"Bezdek, J.: A convergence theorem for the fuzzy isodata clustering algorithms. IEEE Trans. Pattern Analysis and Machine Intelligence\u00a02, 1\u20138 (1980)","journal-title":"IEEE Trans. Pattern Analysis and Machine Intelligence"},{"key":"1_CR3","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.: Pattern Recognition With Fuzzy Objective Function Algorithms. Plenum, New York (1981)"},{"issue":"4","key":"1_CR4","first-page":"351","volume":"11","author":"J. Bezdek","year":"2003","unstructured":"Bezdek, J., Hathaway, R.: Convergence of alternating optmization. Nueral, Parallel, and Scientific Computations\u00a011(4), 351\u2013368 (2003)","journal-title":"Nueral, Parallel, and Scientific Computations"},{"key":"1_CR5","doi-asserted-by":"publisher","DOI":"10.1007\/b106267","volume-title":"Fuzzy Models and Algorithms for Pattern Recognition and Image Processing","author":"J. Bezdek","year":"1999","unstructured":"Bezdek, J., Keller, J., Krishnapuram, R., Pal, N.: Fuzzy Models and Algorithms for Pattern Recognition and Image Processing. Kluwer, Norwell (1999)"},{"key":"1_CR6","unstructured":"Bo, W., Nevatia, R.: Cluster boosted tree classifier for multi-view, multi-pose object detection. In: Proc. ICCV (October 2007)"},{"key":"1_CR7","doi-asserted-by":"publisher","first-page":"248","DOI":"10.1109\/TPAMI.1986.4767778","volume":"8","author":"R. Cannon","year":"1986","unstructured":"Cannon, R., Dave, J., Bezdek, J.: Efficient implementation of the fuzzy c-means algorithm. IEEE Trans. Pattern Analysis and Machine Intelligence\u00a08, 248\u2013255 (1986)","journal-title":"IEEE Trans. Pattern Analysis and Machine Intelligence"},{"key":"1_CR8","unstructured":"Cheng, T., Goldgof, D., Hall, L.: Fast clustering with application to fuzzy rule generation. In: Proc. IEEE Int. Conf. Fuzzy Systems, Tokyo, Japan, pp. 2289\u20132295 (1995)"},{"key":"1_CR9","doi-asserted-by":"crossref","unstructured":"Chitta, R., Jin, R., Havens, T., Jain, A.: Approximate kernel k-means: Solution to large scale kernel clustering. In: Proc. ACM SIGKDD (2011)","DOI":"10.1145\/2020408.2020558"},{"key":"1_CR10","doi-asserted-by":"crossref","unstructured":"Dhillon, I., Guan, Y., Kulis, B.: Kernel k-means, spectral clustering, and normalized cuts. In: Proc. ACM SIGKDD Int. Conf. on Knowledge Discovery Data Mining, pp. 551\u2013556 (August 2004)","DOI":"10.1145\/1014052.1014118"},{"key":"1_CR11","first-page":"2153","volume":"6","author":"P. Drineas","year":"2005","unstructured":"Drineas, P., Mahoney, M.: On the nystrom method for appoximating a gram matrix for improved kernel-based learning. The J. of Machine Learning Research\u00a06, 2153\u20132175 (2005)","journal-title":"The J. of Machine Learning Research"},{"key":"1_CR12","unstructured":"Duda, R., Hart, P., Stork, D.: Pattern Classification, 2nd edn. Wiley-Interscience (October 2000)"},{"key":"1_CR13","doi-asserted-by":"publisher","first-page":"262","DOI":"10.1109\/TFUZZ.2003.809902","volume":"11","author":"S. Eschrich","year":"2003","unstructured":"Eschrich, S., Ke, J., Hall, L., Goldgof, D.: Fast accurate fuzzy clustering through data reduction. IEEE Trans. Fuzzy Systems\u00a011, 262\u2013269 (2003)","journal-title":"IEEE Trans. Fuzzy Systems"},{"key":"1_CR14","doi-asserted-by":"crossref","unstructured":"Frigui, H.: Simultaneous Clustering and Feature Discrimination with Applications. In: Advances in Fuzzy Clustering and Feature Discrimination with Applications, pp. 285\u2013312. John Wiley and Sons (2007)","DOI":"10.1002\/9780470061190.ch14"},{"key":"1_CR15","volume-title":"Clustering Algorithms","author":"J. Hartigan","year":"1975","unstructured":"Hartigan, J.: Clustering Algorithms. Wiley, New York (1975)"},{"key":"1_CR16","doi-asserted-by":"publisher","first-page":"429","DOI":"10.1016\/0031-3203(94)90119-8","volume":"27","author":"R. Hathaway","year":"1994","unstructured":"Hathaway, R., Bezdek, J.: NERF c-MEANS: Non-euclidean relational fuzzy clustering. Pattern Recognition\u00a027, 429\u2013437 (1994)","journal-title":"Pattern Recognition"},{"key":"1_CR17","doi-asserted-by":"publisher","first-page":"215","DOI":"10.1016\/j.csda.2006.02.008","volume":"51","author":"R. Hathaway","year":"2006","unstructured":"Hathaway, R., Bezdek, J.: Extending fuzzy and probabilistic clustering to very large data sets. Computational Statistics and Data Analysis\u00a051, 215\u2013234 (2006)","journal-title":"Computational Statistics and Data Analysis"},{"key":"1_CR18","first-page":"123","volume-title":"Analysis of Fuzzy Information","author":"R. Hathaway","year":"1987","unstructured":"Hathaway, R., Bezdek, J., Tucker, W.: An improved convergence theory for the fuzzy isodata clustering algorithms. In: Bezdek, J. (ed.) Analysis of Fuzzy Information, vol.\u00a03, pp. 123\u2013132. CRC Press, Boca Raton (1987)"},{"issue":"2","key":"1_CR19","doi-asserted-by":"publisher","first-page":"205","DOI":"10.1016\/0031-3203(89)90066-6","volume":"22","author":"R. Hathaway","year":"1989","unstructured":"Hathaway, R., Davenport, J., Bezdek, J.: Relational duals of the c-means clustering algorithms. Pattern Recognition\u00a022(2), 205\u2013212 (1989)","journal-title":"Pattern Recognition"},{"key":"1_CR20","doi-asserted-by":"crossref","unstructured":"Hathaway, R., Huband, J., Bezdek, J.: A kernelized non-euclidean relational fuzzy c-means algorithm. In: Proc. IEEE Int. Conf. Fuzzy Systems, pp. 414\u2013419 (2005)","DOI":"10.1109\/FUZZY.2005.1452429"},{"key":"1_CR21","doi-asserted-by":"crossref","unstructured":"Havens, T., Chitta, R., Jain, A., Jin, R.: Speedup of fuzzy and possibilistic c-means for large-scale clustering. In: Proc. IEEE Int. Conf. Fuzzy Systems, Taipei, Taiwan (2011)","DOI":"10.1109\/FUZZY.2011.6007618"},{"key":"1_CR22","doi-asserted-by":"crossref","unstructured":"Hore, P., Hall, L., Goldgof, D.: Single pass fuzzy c means. In: Proc. IEEE Int. Conf. Fuzzy Systems, London, England, pp. 1\u20137 (2007)","DOI":"10.1109\/FUZZY.2007.4295372"},{"issue":"1-3","key":"1_CR23","doi-asserted-by":"publisher","first-page":"183","DOI":"10.1007\/s11265-008-0243-1","volume":"54","author":"P. Hore","year":"2009","unstructured":"Hore, P., Hall, L., Goldgof, D., Gu, Y., Maudsley, A.: A scalable framework for segmenting magentic resonance images. J. Signal Process. Syst.\u00a054(1-3), 183\u2013203 (2009)","journal-title":"J. Signal Process. Syst."},{"key":"1_CR24","unstructured":"Huber, P.: Massive Data Sets Workshop: The Morning After. In: Massive Data Sets, pp. 169\u2013184. National Academy Press (1997)"},{"key":"1_CR25","doi-asserted-by":"publisher","first-page":"193","DOI":"10.1007\/BF01908075","volume":"2","author":"L. Hubert","year":"1985","unstructured":"Hubert, L., Arabie, P.: Comparing partitions. J. Classification\u00a02, 193\u2013218 (1985)","journal-title":"J. Classification"},{"key":"1_CR26","volume-title":"Algorithms for Clustering Data","author":"A. Jain","year":"1988","unstructured":"Jain, A., Dubes, R.: Algorithms for Clustering Data. Prentice-Hall, Englewood Cliffs (1988)"},{"issue":"3","key":"1_CR27","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"A. Jain","year":"1999","unstructured":"Jain, A., Murty, M., Flynn, P.: Data clustering: A review. ACM Computing Surveys\u00a031(3), 264\u2013323 (1999)","journal-title":"ACM Computing Surveys"},{"key":"1_CR28","doi-asserted-by":"publisher","first-page":"241","DOI":"10.1007\/BF02289588","volume":"2","author":"S. Johnson","year":"1967","unstructured":"Johnson, S.: Hierarchical clustering schemes. Psychometrika\u00a02, 241\u2013254 (1967)","journal-title":"Psychometrika"},{"issue":"18","key":"1_CR29","first-page":"2484","volume":"19","author":"S. Khan","year":"2003","unstructured":"Khan, S., Situ, G., Decker, K., Schmidt, C.: Go Figure: Automated Gene Ontology annotation. Bioinf.\u00a019(18), 2484\u20132485 (2003)","journal-title":"Bioinf."},{"key":"1_CR30","doi-asserted-by":"publisher","first-page":"263","DOI":"10.1109\/91.995126","volume":"10","author":"J. Kolen","year":"2002","unstructured":"Kolen, J., Hutcheson, T.: Reducing the time complexity of the fuzzy c-means algorithm. IEEE Trans. Fuzzy Systems\u00a010, 263\u2013267 (2002)","journal-title":"IEEE Trans. Fuzzy Systems"},{"key":"1_CR31","doi-asserted-by":"crossref","unstructured":"Krishnapuram, R., Keller, J.: A possibilistic approach to clustering. IEEE Trans. on Fuzzy Sys.\u00a01(2) (May 1993)","DOI":"10.1109\/91.227387"},{"key":"1_CR32","unstructured":"Kumar, S., Mohri, M., Talwalkar, A.: Sampling techniques for the nystrom method. In: Proc. Conf. Artificial Intelligence and Statistics, pp. 304\u2013311 (2009)"},{"key":"1_CR33","unstructured":"Lloyd, S.: Least square quantization in pcm. Tech. rep., Bell Telephone Laboratories (1957)"},{"issue":"2","key":"1_CR34","doi-asserted-by":"publisher","first-page":"129","DOI":"10.1109\/TIT.1982.1056489","volume":"28","author":"S. Lloyd","year":"1982","unstructured":"Lloyd, S.: Least square quantization in pcm. IEEE Trans. Information Theory\u00a028(2), 129\u2013137 (1982)","journal-title":"IEEE Trans. Information Theory"},{"key":"1_CR35","unstructured":"MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proc. 5th Berkeley Symp. Math. Stat. and Prob., pp. 281\u2013297. University of California Press (1967)"},{"key":"1_CR36","doi-asserted-by":"publisher","first-page":"598","DOI":"10.1109\/TSMCB.2002.1033179","volume":"32","author":"N. Pal","year":"2002","unstructured":"Pal, N., Bezdek, J.: Complexity reduction for \u201clarge image\u201d processing. IEEE Trans. Systems, Man, and Cybernetics B\u00a0(32), 598\u2013611 (2002)","journal-title":"IEEE Trans. Systems, Man, and Cybernetics B"},{"key":"1_CR37","doi-asserted-by":"crossref","unstructured":"Provost, F., Jensen, D., Oates, T.: Efficient progressive sampling. In: Proc. KDDM, pp. 23\u201332 (1999)","DOI":"10.1145\/312129.312188"},{"issue":"336","key":"1_CR38","doi-asserted-by":"publisher","first-page":"846","DOI":"10.1080\/01621459.1971.10482356","volume":"66","author":"W. Rand","year":"1971","unstructured":"Rand, W.: Objective criteria for the evaluation of clustering methods. J. Amer. Stat. Asooc.\u00a066(336), 846\u2013850 (1971)","journal-title":"J. Amer. Stat. Asooc."},{"key":"1_CR39","unstructured":"Shankar, B.U., Pal, N.: FFCM: an effective approach for large data sets. In: Proc. Int. Conf. Fuzzy Logic, Neural Nets, and Soft Computing, Fukuoka, Japan, p. 332 (1994)"},{"key":"1_CR40","doi-asserted-by":"crossref","unstructured":"The UniProt Consotium: The universal protein resource (UniProt). Nucleic Acids Res.\u00a035, D193\u2013D197 (2007)","DOI":"10.1093\/nar\/gkl929"},{"key":"1_CR41","volume-title":"Pattern Recognition","author":"S. Theodoridis","year":"2009","unstructured":"Theodoridis, S., Koutroumbas, K.: Pattern Recognition, 4th edn. Academic Press, San Diego (2009)","edition":"4"},{"key":"1_CR42","first-page":"109","volume-title":"Analysis of Fuzzy Information","author":"W. Tucker","year":"1987","unstructured":"Tucker, W.: Counterexamples to the convergence theorem for fuzzy isodata clustering algorithms. In: Bezdek, J. (ed.) Analysis of Fuzzy Information, vol.\u00a03, pp. 109\u2013122. CRC Press, Boca Raton (1987)"},{"key":"1_CR43","unstructured":"Wu, Z., Xie, W., Yu, J.: Fuzzy c-means clustering algorithm based on kernel method. In: Proc. Int. Conf. Computational Intelligence and Multimedia Applications, pp. 49\u201354 (September 2003)"},{"key":"1_CR44","volume-title":"Clustering","author":"R. Xu","year":"2009","unstructured":"Xu, R., Wunsch II, D.: Clustering. IEEE Press, Psicataway (2009)"},{"key":"1_CR45","unstructured":"Zhang, R., Rudnicky, A.: A large scale clustering scheme for kernel k-means. In: Proc. Int. Conf. Pattern Recognition, pp. 289\u2013292 (2002)"}],"container-title":["Studies in Computational Intelligence","Computational Intelligence"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-27534-0_1","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,20]],"date-time":"2025-03-20T21:32:50Z","timestamp":1742506370000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-642-27534-0_1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2012]]},"ISBN":["9783642275333","9783642275340"],"references-count":45,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-27534-0_1","relation":{},"ISSN":["1860-949X","1860-9503"],"issn-type":[{"value":"1860-949X","type":"print"},{"value":"1860-9503","type":"electronic"}],"subject":[],"published":{"date-parts":[[2012]]}}}