{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,30]],"date-time":"2026-03-30T13:46:46Z","timestamp":1774878406768,"version":"3.50.1"},"publisher-location":"Berlin, Heidelberg","reference-count":13,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"value":"9783642387081","type":"print"},{"value":"9783642387098","type":"electronic"}],"license":[{"start":{"date-parts":[[2014,1,1]],"date-time":"2014-01-01T00:00:00Z","timestamp":1388534400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2014]]},"DOI":"10.1007\/978-3-319-12568-8_53","type":"book-chapter","created":{"date-parts":[[2014,10,23]],"date-time":"2014-10-23T21:38:58Z","timestamp":1414100338000},"page":"432-439","source":"Crossref","is-referenced-by-count":3,"title":["Estimations of Clustering Quality via Evaluation of Its Stability"],"prefix":"10.1007","author":[{"given":"Vladimir","family":"Ryazanov","sequence":"first","affiliation":[]}],"member":"297","reference":[{"key":"53_CR1","unstructured":"Duda, R.O., Hart, P.E., Stork, D.G.: Pattern Classification, 2nd edn. John Wiley and Sons (2000)"},{"key":"53_CR2","series-title":"Lecture Notes in Artificial Intelligence","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1007\/978-3-540-72927-3_4","volume-title":"Learning Theory","author":"S. Ben-David","year":"2007","unstructured":"Ben-David, S., P\u00e1l, D., Simon, H.U.: Stability of k-Means Clustering. In: Bshouty, N.H., Gentile, C. (eds.) COLT. LNCS (LNAI), vol.\u00a04539, pp. 20\u201334. Springer, Heidelberg (2007)"},{"key":"53_CR3","first-page":"230","volume":"2","author":"Z. Volkovich","year":"2011","unstructured":"Volkovich, Z., Avros, R., Golani, M.: A Comparative Approach to Cluster Validation. Journal of Pattern Recognition Research\u00a02, 230\u2013243 (2011)","journal-title":"Journal of Pattern Recognition Research"},{"issue":"6","key":"53_CR4","doi-asserted-by":"publisher","first-page":"1299","DOI":"10.1162\/089976604773717621","volume":"16","author":"T. Lange","year":"2004","unstructured":"Lange, T., Roth, V., Braun, M.L., Buhmann, J.M.: Stability-based validation of clustering solutions. Neural Computation\u00a016(6), 1299\u20131323 (2004)","journal-title":"Neural Computation"},{"key":"53_CR5","first-page":"1","volume":"21","author":"O. Shamir","year":"2007","unstructured":"Shamir, O., Tishby, N.: Cluster Stability for Finite Samples. Cluster Stability for Finite Samples. Advances in Neural Information Processing Systems\u00a021, 1\u20138 (2007)","journal-title":"Cluster Stability for Finite Samples. Advances in Neural Information Processing Systems"},{"issue":"3","key":"53_CR6","first-page":"26","volume":"1","author":"A.K. Das","year":"2010","unstructured":"Das, A.K., Sil, J.: Cluster Validation Method for Stable Cluster Formation. Canadian Journal on Artificial Intelligence, Machine Learning and Pattern Recognition\u00a01(3), 26\u201341 (2010)","journal-title":"Canadian Journal on Artificial Intelligence, Machine Learning and Pattern Recognition"},{"key":"53_CR7","doi-asserted-by":"crossref","unstructured":"Dudoit, S., Fridlyand, J.: A prediction-based re-sampling method for estimating the number of clusters in a data set. Genome Biology\u00a03(7), 0036.1\u20130036.21 (2002)","DOI":"10.1186\/gb-2002-3-7-research0036"},{"key":"53_CR8","first-page":"6","volume":"7","author":"A. Ben-Hur","year":"2002","unstructured":"Ben-Hur, A., Elisseeff, A., Guyon, I.: & Guyon, I.: A stability based method for discovering structure in clustered data. Pacific Symposium on Biocomputing\u00a07, 6\u201317 (2002)","journal-title":"Pacific Symposium on Biocomputing"},{"key":"53_CR9","doi-asserted-by":"publisher","first-page":"454","DOI":"10.1016\/j.patrec.2009.07.009","volume":"31","author":"D. Pascual","year":"2010","unstructured":"Pascual, D., Pla, F., Sanchez, J.S.: Cluster validation using information stability measures. Pattern Recognition Letters\u00a031, 454\u2013461 (2010)","journal-title":"Pattern Recognition Letters"},{"key":"53_CR10","doi-asserted-by":"publisher","first-page":"83","DOI":"10.1002\/nav.3800020109","volume":"2","author":"H.W. Kuhn","year":"1955","unstructured":"Kuhn, H.W.: The Hungarian Method for the Assignment Problem. Naval Research Logistics Quarterly\u00a02, 83\u201397 (1955)","journal-title":"Naval Research Logistics Quarterly"},{"key":"53_CR11","doi-asserted-by":"crossref","unstructured":"Ganster, H., Gelautz, M., Pinz, A., Binder, M., Pehamberger, H., Bammer, M., Krocza, J.: Initial Results of Automated Melanoma Recognition. In: Proceedings of the 9th SCIA, Uppsala, Sweden, vol.\u00a01, pp. 209\u2013218 (1995)","DOI":"10.1142\/9789812830579_0027"},{"key":"53_CR12","unstructured":"Fisher, R.A.: Iris Data Set. UCI Machine Learning Repository, http:\/\/archive.ics.uci.edu\/ml"},{"issue":"5","key":"53_CR13","first-page":"1","volume":"23","author":"O.L. Mangasarian","year":"1990","unstructured":"Mangasarian, O.L., Wolberg, W.H.: Cancer diagnosis via linear programming. SIAM News\u00a023(5), 1\u201318 (1990)","journal-title":"SIAM News"}],"container-title":["Lecture Notes in Computer Science","Advanced Information Systems Engineering"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-319-12568-8_53","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,8,16]],"date-time":"2019-08-16T15:27:04Z","timestamp":1565969224000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-319-12568-8_53"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2014]]},"ISBN":["9783642387081","9783642387098"],"references-count":13,"URL":"https:\/\/doi.org\/10.1007\/978-3-319-12568-8_53","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"value":"0302-9743","type":"print"},{"value":"1611-3349","type":"electronic"}],"subject":[],"published":{"date-parts":[[2014]]}}}