{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,25]],"date-time":"2025-03-25T14:14:59Z","timestamp":1742912099472,"version":"3.40.3"},"publisher-location":"Berlin, Heidelberg","reference-count":31,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783642238079"},{"type":"electronic","value":"9783642238086"}],"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\/978-3-642-23808-6_24","type":"book-chapter","created":{"date-parts":[[2011,8,18]],"date-time":"2011-08-18T07:40:29Z","timestamp":1313653229000},"page":"365-380","source":"Crossref","is-referenced-by-count":0,"title":["The Minimum Code Length for Clustering Using the Gray Code"],"prefix":"10.1007","author":[{"given":"Mahito","family":"Sugiyama","sequence":"first","affiliation":[]},{"given":"Akihiro","family":"Yamamoto","sequence":"additional","affiliation":[]}],"member":"297","reference":[{"key":"24_CR1","doi-asserted-by":"crossref","unstructured":"Berkhin, P.: A survey of clustering data mining techniques. Grouping Multidimensional Data, 25\u201371 (2006)","DOI":"10.1007\/3-540-28349-8_2"},{"issue":"4","key":"24_CR2","doi-asserted-by":"publisher","first-page":"1","DOI":"10.18637\/jss.v025.i04","volume":"25","author":"G. Brock","year":"2008","unstructured":"Brock, G., Pihur, V., Datta, S., Datta, S.: clValid: An R package for cluster validation. Journal of Statistical Software\u00a025(4), 1\u201322 (2008)","journal-title":"Journal of Statistical Software"},{"issue":"4","key":"24_CR3","doi-asserted-by":"publisher","first-page":"1","DOI":"10.3724\/SP.J.1001.2010.03494","volume":"33","author":"F. Chang","year":"2010","unstructured":"Chang, F., Qiu, W., Zamar, R.H., Lazarus, R., Wang, X.: clues: An R package for nonparametric clustering based on local shrinking. Journal of Statistical Software\u00a033(4), 1\u201316 (2010), http:\/\/www.jstatsoft.org\/v33\/i04\/","journal-title":"Journal of Statistical Software"},{"issue":"2","key":"24_CR4","doi-asserted-by":"publisher","first-page":"201","DOI":"10.1007\/s10115-009-0216-0","volume":"21","author":"V. Chaoji","year":"2009","unstructured":"Chaoji, V., Hasan, M.A., Salem, S., Zaki, M.J.: SPARCL: An effective and efficient algorithm for mining arbitrary shape-based clusters. Knowledge and Information Systems\u00a021(2), 201\u2013229 (2009)","journal-title":"Knowledge and Information Systems"},{"key":"24_CR5","doi-asserted-by":"crossref","unstructured":"Chaoji, V., Li, G., Yildirim, H., Zaki, M.J.: ABACUS: Mining arbitrary shaped clusters from large datasets based on backbone identification. In: Proceedings of 2011 SIAM International Conference on Data Mining, pp. 295\u2013306 (2011)","DOI":"10.1137\/1.9781611972818.26"},{"issue":"4","key":"24_CR6","doi-asserted-by":"publisher","first-page":"1523","DOI":"10.1109\/TIT.2005.844059","volume":"51","author":"R. Cilibrasi","year":"2005","unstructured":"Cilibrasi, R., Vit\u00e1nyi, P.M.B.: Clustering by compression. IEEE Transactions on Information Theory\u00a051(4), 1523\u20131545 (2005)","journal-title":"IEEE Transactions on Information Theory"},{"key":"24_CR7","unstructured":"Ester, M., Kriegel, H.P., Sander, J., Xu, X.: A density-based algorithm for discovering clusters in large spatial databases with noise. In: Proceedings of the Second International Conference on Knowledge Discovery and Data Mining, vol.\u00a096, pp. 226\u2013231 (1996)"},{"issue":"1","key":"24_CR8","doi-asserted-by":"publisher","first-page":"35","DOI":"10.1016\/S0306-4379(01)00008-4","volume":"26","author":"S. Guha","year":"1998","unstructured":"Guha, S., Rastogi, R., Shim, K.: CURE: An efficient clustering algorithm for large databases. Information Systems\u00a026(1), 35\u201358 (1998)","journal-title":"Information Systems"},{"issue":"2","key":"24_CR9","doi-asserted-by":"publisher","first-page":"107","DOI":"10.1023\/A:1012801612483","volume":"17","author":"M. Halkidi","year":"2001","unstructured":"Halkidi, M., Batistakis, Y., Vazirgiannis, M.: On clustering validation techniques. Journal of Intelligent Information Systems\u00a017(2), 107\u2013145 (2001)","journal-title":"Journal of Intelligent Information Systems"},{"key":"24_CR10","volume-title":"Data Mining","author":"J. Han","year":"2006","unstructured":"Han, J., Kamber, M.: Data Mining, 2nd edn. Morgan Kaufmann, San Francisco (2006)","edition":"2"},{"issue":"15","key":"24_CR11","doi-asserted-by":"publisher","first-page":"3201","DOI":"10.1093\/bioinformatics\/bti517","volume":"21","author":"J. Handl","year":"2005","unstructured":"Handl, J., Knowles, J., Kell, D.B.: Computational cluster validation in post-genomic data analysis. Bioinformatics\u00a021(15), 3201 (2005)","journal-title":"Bioinformatics"},{"key":"24_CR12","unstructured":"Hinneburg, A., Keim, D.A.: An efficient approach to clustering in large multimedia databases with noise. In: Proceedings of the Fourth International Conference on Knowledge Discovery and Data Mining, pp. 58\u201365 (1998)"},{"issue":"1","key":"24_CR13","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. Journal of Classification\u00a02(1), 193\u2013218 (1985)","journal-title":"Journal of Classification"},{"issue":"3","key":"24_CR14","doi-asserted-by":"publisher","first-page":"264","DOI":"10.1145\/331499.331504","volume":"31","author":"A.K. Jain","year":"1999","unstructured":"Jain, A.K., Murty, M.N., Flynn, P.J.: Data clustering: A review. ACM Computing Surveys\u00a031(3), 264\u2013323 (1999)","journal-title":"ACM Computing Surveys"},{"issue":"8","key":"24_CR15","doi-asserted-by":"publisher","first-page":"68","DOI":"10.1109\/2.781637","volume":"32","author":"G. Karypis","year":"1999","unstructured":"Karypis, G., Eui-Hong, H., Kumar, V.: CHAMELEON: Hierarchical clustering using dynamic modeling. Computer\u00a032(8), 68\u201375 (1999)","journal-title":"Computer"},{"key":"24_CR16","doi-asserted-by":"publisher","first-page":"99","DOI":"10.1007\/s10618-006-0049-3","volume":"14","author":"E. Keogh","year":"2007","unstructured":"Keogh, E., Lonardi, S., Ratanamahatana, C., Wei, L., Lee, S.H., Handley, J.: Compression-based data mining of sequential data. Data Mining and Knowledge Discovery\u00a014, 99\u2013129 (2007)","journal-title":"Data Mining and Knowledge Discovery"},{"key":"24_CR17","series-title":"Fascicle 2: Generating All Tuples and Permutations","volume-title":"The Art of Computer Programming","author":"D.E. Knuth","year":"2005","unstructured":"Knuth, D.E.: The Art of Computer Programming. Fascicle 2: Generating All Tuples and Permutations, vol.\u00a04. Addison-Wesley Professional, Reading (2005)"},{"key":"24_CR18","unstructured":"Kontkanen, P., Myllym\u00e4ki, P.: An empirical comparison of NML clustering algorithms. In: Proceedings of Information Theory and Statistical Learning, pp. 125\u2013131 (2008)"},{"key":"24_CR19","volume-title":"Advances in Minimum Description Length: Theory and Applications","author":"P. Kontkanen","year":"2005","unstructured":"Kontkanen, P., Myllym\u00e4ki, P., Buntine, W., Rissanen, J., Tirri, H.: An MDL framework for data clustering. In: Gr\u00fcnwald, P., Myung, I.J., Pitt, M. (eds.) Advances in Minimum Description Length: Theory and Applications. MIT Press, Cambridge (2005)"},{"issue":"2","key":"24_CR20","doi-asserted-by":"publisher","first-page":"149","DOI":"10.1093\/bioinformatics\/17.2.149","volume":"17","author":"M. Li","year":"2001","unstructured":"Li, M., Badger, J.H., Chen, X., Kwong, S., Kearney, P., Zhang, H.: An information-based sequence distance and its application to whole mitochondrial genome phylogeny. Bioinformatics\u00a017(2), 149\u2013154 (2001)","journal-title":"Bioinformatics"},{"key":"24_CR21","unstructured":"MacQueen, J.: Some methods for classification and analysis of multivariate observations. In: Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, vol.\u00a01, pp. 281\u2013297 (1967)"},{"key":"24_CR22","unstructured":"Maechler, M., Rousseeuw, P., Struyf, A., Hubert, M.: Cluster analysis basics and extensions (2005)"},{"key":"24_CR23","doi-asserted-by":"publisher","first-page":"315","DOI":"10.1007\/s00357-006-0018-y","volume":"23","author":"W. Qiu","year":"2006","unstructured":"Qiu, W., Joe, H.: Generation of random clusters with specified degree of separation. Journal of Classification\u00a023, 315\u2013334 (2006)","journal-title":"Journal of Classification"},{"key":"24_CR24","unstructured":"R Development Core Team: R: A Language and Environment for Statistical Computing. R Foundation for Statistical Computing (2011), http:\/\/www.R-project.org"},{"key":"24_CR25","unstructured":"Rasband, W.S.: ImageJ. U. S. National Institutes of Health, Bethesda, Maryland, USA (1997\u20132011), http:\/\/imagej.nih.gov\/ij\/"},{"key":"24_CR26","doi-asserted-by":"publisher","first-page":"53","DOI":"10.1016\/0377-0427(87)90125-7","volume":"20","author":"P.J. Rousseeuw","year":"1987","unstructured":"Rousseeuw, P.J.: Silhouettes: a graphical aid to the interpretation and validation of cluster analysis. Journal of Computational and Applied Mathematics\u00a020, 53\u201365 (1987)","journal-title":"Journal of Computational and Applied Mathematics"},{"key":"24_CR27","unstructured":"Sheikholeslami, G., Chatterjee, S., Zhang, A.: WaveCluster: A multi-resolution clustering approach for very large spatial databases. In: Proceedings of the 24th International Conference on Very Large Data Bases, pp. 428\u2013439 (1998)"},{"key":"24_CR28","doi-asserted-by":"crossref","unstructured":"Ting, K.M., Wells, J.R.: Multi-dimensional mass estimation and mass-based clustering. In: Proceedings of 10th IEEE International Conference on Data Mining, pp. 511\u2013520 (2010)","DOI":"10.1109\/ICDM.2010.49"},{"issue":"2","key":"24_CR29","doi-asserted-by":"publisher","first-page":"467","DOI":"10.1016\/S0304-3975(01)00104-9","volume":"284","author":"H. Tsuiki","year":"2002","unstructured":"Tsuiki, H.: Real number computation through Gray code embedding. Theoretical Computer Science\u00a0284(2), 467\u2013485 (2002)","journal-title":"Theoretical Computer Science"},{"key":"24_CR30","unstructured":"Wang, W., Yang, J., Muntz, R.: STING: A statistical information grid approach to spatial data mining. In: Proceedings of the 23rd International Conference on Very Large Data Bases, pp. 186\u2013195 (1997)"},{"key":"24_CR31","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-642-56999-9","volume-title":"Computable Analysis: An Introduction","author":"K. Weihrauch","year":"2000","unstructured":"Weihrauch, K.: Computable Analysis: An Introduction. Springer, Heidelberg (2000)"}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Knowledge Discovery in Databases"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-642-23808-6_24","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,3,8]],"date-time":"2025-03-08T22:19:33Z","timestamp":1741472373000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/978-3-642-23808-6_24"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2011]]},"ISBN":["9783642238079","9783642238086"],"references-count":31,"URL":"https:\/\/doi.org\/10.1007\/978-3-642-23808-6_24","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[2011]]}}}