{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,26]],"date-time":"2025-03-26T00:25:12Z","timestamp":1742948712941,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":16,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642217371"},{"type":"electronic","value":"9783642217388"}],"license":[{"start":{"date-parts":[[2011,1,1]],"date-time":"2011-01-01T00:00:00Z","timestamp":1293840000000},"content-version":"unspecified","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2011]]},"DOI":"10.1007\/978-3-642-21738-8_22","type":"book-chapter","created":{"date-parts":[[2011,6,12]],"date-time":"2011-06-12T11:53:18Z","timestamp":1307879598000},"page":"165-172","source":"Crossref","is-referenced-by-count":0,"title":["Estimation of the Number of Clusters Using Heterogeneous Multiple Classifier System"],"prefix":"10.1007","author":[{"given":"Omar","family":"Ayad","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Moamar","family":"Sayed-Mouchaweh","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Patrice","family":"Billaudel","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","reference":[{"issue":"3","key":"22_CR1","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1109\/34.667881","volume":"20","author":"J. Kittler","year":"1998","unstructured":"Kittler, J.: On combining classifiers. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a020(3), 226\u2013239 (1998)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"22_CR2","doi-asserted-by":"crossref","unstructured":"Fred, A., Jain, A.K.: Data clustering using evidence accumulation. In: 16th Intel Conference on Pattern Recognition, ICPR, pp. 276\u2013280, Quebec (2002)","DOI":"10.1109\/ICPR.2002.1047450"},{"key":"22_CR3","first-page":"583","volume":"3","author":"A. Strehl","year":"2002","unstructured":"Strehl, A., Ghosh, J.: Cluster ensembles- A knowledge reuse framework for combining multiple partitions. Journal of Machine Learning Research\u00a03, 583\u2013617 (2002)","journal-title":"Journal of Machine Learning Research"},{"issue":"12","key":"22_CR4","doi-asserted-by":"publisher","first-page":"1866","DOI":"10.1109\/TPAMI.2005.237","volume":"27","author":"A. Topchy","year":"2005","unstructured":"Topchy, A., Jain, A.K., Punch, W.: Clustering ensembles: models of consensus and weak partitions. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a027(12), 1866\u20131881 (2005)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"22_CR5","volume-title":"UCI repository of machine learning databases","author":"C. Blake","year":"1998","unstructured":"Blake, C., Merz, C.: UCI repository of machine learning databases. University of California, Dept. Of Information and Computer Science, Irvine (1998)"},{"issue":"4","key":"22_CR6","doi-asserted-by":"publisher","first-page":"544","DOI":"10.1016\/j.fss.2009.11.002","volume":"161","author":"M. Sayed-Mouchaweh","year":"2010","unstructured":"Sayed-Mouchaweh, M.: Semi-supervised classification method for dynamic applications. Fuzzy Sets and Systems (FSS)\u00a0161(4), 544\u2013563 (2010)","journal-title":"Fuzzy Sets and Systems (FSS)"},{"key":"22_CR7","doi-asserted-by":"publisher","DOI":"10.1007\/978-1-4757-2440-0","volume-title":"The nature of statistical learning theory","author":"V.N. Vapnik","year":"1995","unstructured":"Vapnik, V.N.: The nature of statistical learning theory. Springer, New York (1995)"},{"key":"22_CR8","unstructured":"Corduneanu, A., Bishop, C.M.: Variational Bayesian model selection for mixture distributions. In: Eighth Conf. Artificial Intelligence and Statistics, pp. 27\u201334 (2001)"},{"key":"22_CR9","doi-asserted-by":"publisher","first-page":"2712","DOI":"10.1016\/j.patcog.2010.03.001","volume":"43","author":"S. Vega-Pons","year":"2010","unstructured":"Vega-Pons, S., Correa-Morris, J., Ruiz-Shulcloper, J.: Weighted partition consensus via kernels. Pattern Recognition\u00a043, 2712\u20132724 (2010)","journal-title":"Pattern Recognition"},{"key":"22_CR10","doi-asserted-by":"crossref","unstructured":"Masson, M.H., Denoeux, T.: Ensemble clustering in the belief functions framework. International Journal of Approximate Reasoning (2010) (article in Press)","DOI":"10.1016\/j.ijar.2010.04.007"},{"key":"22_CR11","doi-asserted-by":"crossref","unstructured":"Mimaroglu, S., Erdil, E.: Combining multiple clusterings using similarity graph. Pattern Recognition (2010) (article in Press)","DOI":"10.1016\/j.patcog.2010.09.008"},{"issue":"6","key":"22_CR12","doi-asserted-by":"publisher","first-page":"231","DOI":"10.1016\/j.patcog.2009.12.018","volume":"43","author":"R.S. Kashef","year":"2010","unstructured":"Kashef, R.S., Kamel, M.: Cooperative clustering. Pattern Recognition\u00a043(6), 231\u20132329 (2010)","journal-title":"Pattern Recognition"},{"key":"22_CR13","doi-asserted-by":"publisher","first-page":"160","DOI":"10.1109\/TPAMI.2007.1138","volume":"30","author":"H. Ayad","year":"2007","unstructured":"Ayad, H., Kamel, M.: Cumulative voting consensus method for partitions with variable number of clusters. IEEE Transactions on Pattern Analysis and Machine Intelligence\u00a030, 160\u2013173 (2007)","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"22_CR14","doi-asserted-by":"publisher","first-page":"211","DOI":"10.1016\/j.datak.2009.10.004","volume":"96","author":"G. Forestier","year":"2010","unstructured":"Forestier, G., Gan\u00e7arski, P., Wemmert, C.: Collaborative clustering with background knowledge. Data & Knowledge Engineering\u00a096, 211\u2013228 (2010)","journal-title":"Data & Knowledge Engineering"},{"key":"22_CR15","unstructured":"Minaei-Bidgoli, B., Topchy, A., Punch, W.F.: A Comparison of Resampling Methods for Clustering Ensembles. In: International Conference on Machine Learning, Models, Technologies and Applications, pp. 939\u2013945 (2004)"},{"issue":"2","key":"22_CR16","doi-asserted-by":"publisher","first-page":"143","DOI":"10.1016\/j.inffus.2004.03.001","volume":"6","author":"Zengyou He","year":"2005","unstructured":"He, Z.Y., Xu, X.F., Deng, S.C.: A cluster ensemble method for clustering categorical data. Information Fusion, 143\u2013151 (2005)","journal-title":"Information Fusion"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks and Machine Learning \u2013 ICANN 2011"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-21738-8_22","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,6,11]],"date-time":"2019-06-11T13:27:29Z","timestamp":1560259649000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-21738-8_22"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642217371","9783642217388"],"references-count":16,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-21738-8_22","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}