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Still S, Bialek W (2004) How many clusters? An information-theoretic perspective. Neural Comput 16:2483-506 [PubMed]

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Balasubramanian V (1997) Statistical inference, Occam's razor, and statistical mechanics on the space of probability distributions Neural Comput 9:349-368
Blatt M, Wiseman S, Domany E (1996) Superparamagnetic clustering of data. Phys Rev Lett 76:3251-3254
Bock HH (1996) Probability models and hypotheses testing in partitioning cluster analysis Clustering and classification, Arabie P:Hubert LJ:De_Soete G, ed. pp.378
Buhmann JM, Held M (2000) Model selection in clustering by uniform convergence bounds Advances In Neural Information Processing Systems, Solla SA:Leen TK:Muller KR, ed.
Eisen MB, Spellman PT, Brown PO, Botstein D (1998) Cluster analysis and display of genome-wide expression patterns. Proc Natl Acad Sci U S A 95:14863-8 [PubMed]
Fraley C, Raftery A (2002) Model-based clustering, discriminant analysis, and density estimation J Am Stat Assoc 97:611
Gordon AD (1999) Classification (2nd ed)
Hall P, Hannan E (1988) On stochastic complexity and nonparametric density estimation Biometrika 75:705-714
Horn D, Gottlieb A (2002) Algorithm for data clustering in pattern recognition problems based on quantum mechanics. Phys Rev Lett 88:018702 [Journal] [PubMed]
Lange T, Roth V, Braun ML, Buhmann JM (2004) Stability-based validation of clustering solutions. Neural Comput 16:1299-323 [Journal] [PubMed]
Lloyd S (1957) Least squares quantization in PCM Tech Rep Bell Laboratories
Macqueen JB (1967) Some methods for classification and analysis of multivariate observations Proceedings Of 5th Berkeley Symposium On Mathematical Statistics And Probability 1:281-297
Rose K, Gurewitz E, Fox GC (1990) Statistical mechanics and phase transitions in clustering. Phys Rev Lett 65:945-948 [Journal] [PubMed]
Shannon CE (1948) The mathematical theory of communication Bell Syst Tech J 27:379
Smyth P (2000) Model selection for probabilistic clustering using cross validated likelihood Statistics And Computing 10:63
Still S, Bialek W, Bottou L (2004) Geometric clustering using the information bottleneck method Advances in neural information processing systems, Thrun S:Saul L:Scholkopf B, ed.
Stone M (1974) Cross-validatory choice and assesment of statistical predictions J Roy Statist Soc B 36:111
Tibshirani R, Walther G, Hastie T (2001) Estimating the number of clusters via the gap statistic J Royal Statist Soc B 63:411-423
Tishby N, Pereira F, Bialek W (1999) The information bottleneck method Proc 37th Allerton Conference On Communication, Control And Computing :368-377
Treves A, Panzeri S (1995) The upward bias in measures of information derived from limited data samples. Neural Comput 7:399-407
Ward J (1963) Hierarchical gropuing to optimize an objective function J Am Statist Assoc 58:236
Song Q (2005) A robust information clustering algorithm. Neural Comput 17:2672-98 [Journal] [PubMed]
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