Citation Relationships

Lange T, Roth V, Braun ML, Buhmann JM (2004) Stability-based validation of clustering solutions. Neural Comput 16:1299-323 [PubMed]

References and models cited by this paper

References and models that cite this paper

Alizadeh AA, Eisen MB, Davis RE, Ma C, Lossos IS, Rosenwald A, Boldrick JC, Sabet H, Tran T, Yu X, Powell JI, Yang L, Marti GE, Moore T, Hudson J, Lu L, Lewis DB, Tibshirani R, Sherlock G, Chan WC, Greiner TC, Weisenburger DD, Armitage JO, Warnke R, Levy R, Wilson W, Grever MR, Byrd JC, Botstein D, Brown PO, Staudt LM (2000) Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling. Nature 403:503-11 [Journal] [PubMed]

Ben-Hur A, Elisseeff A, Guyon I (2002) A stability based method for discovering structure in clustered data Pacific Symposium On Biocomputing 2002:6-17

Bittner M, Meltzer P, Chen Y, Jiang Y, Seftor E, Hendrix M, Radmacher M, Simon R, Yakhini Z, Ben-Dor A, Sampas N, Dougherty E, Wang E, Marincola F, Gooden C, Lueders J, Glatfelter A, Pollock P, Carpten J, Gillanders E, Leja D, Dietrich K, Beaudry C, Berens M, Alberts D, Sondak V (2000) Molecular classification of cutaneous malignant melanoma by gene expression profiling. Nature 406:536-40 [Journal] [PubMed]

Breckenridge JN (1989) Replicating Cluster Analysis: Method, Consistency, and Validity. Multivariate Behav Res 24:147-61 [Journal] [PubMed]

Buhmann JM (1995) Data clustering and learning Handbook of brain theory and neural networks, Arbib M, ed. pp.278

Duda RO, Hart PE, Stork DG (2000) Pattern Classification (2nd edition)

Dudoit S, Fridlyand J (2002) A prediction-based resampling method for estimating the number of clusters in a dataset. Genome Biol 3:RESEARCH0036 [PubMed]

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]

Fischer B, Zoller T, Buhmann JM (2001) Path based pairwise data clustering with application to texture segmentation LNCS energy minimization methods in computer vision and pattern recognition

Fowlkes E, Mallows C (1983) A method for comparing two hierarchical clusterings J Am Stat Assoc 78:553-584

Fraley C, Raftery A (1998) How many clusters? which clustering method? answers via model-based cluster analysis Comput J 41:578

Golub TR, Slonim DK, Tamayo P, Huard C, Gaasenbeek M, Mesirov JP, Coller H, Loh ML, Downing JR, Caligiuri MA, Bloomfield CD, Lander ES (1999) Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. Science 286:531-7 [PubMed]

Gordon AD (1999) Classification (2nd ed)

Hastie T, Tibshirani R, Friedman J (2001) The elements of statistical learning

Hofmann T, Buhmann JM (1997) Pairwise data clustering by deterministic annealing IEEE Transactions On Pattern Analysis And Machine Intelligen 19:1-25

Iyer VR, Eisen MB, Ross DT, Schuler G, Moore T, Lee JC, Trent JM, Staudt LM, Hudson J, Boguski MS, Lashkari D, Shalon D, Botstein D, Brown PO (1999) The transcriptional program in the response of human fibroblasts to serum. Science 283:83-7 [PubMed]

Jain AK, Dubes RC (1988) Algorithms for clustering data

Jain AK, Murty MN, Flynn PJ (1999) Data clustering: A review ACM Computing Surveys 31:264-323

Kuhn H (1955) The Hungarian method for the assignment problem Naval Res Logist Quart 2:83-97

Lander E (1999) Array of hope Nature Genetics Supplement 21:3-4

Lange T, Braun M, Roth V, Buhmann J (2003) Stability-based model selection Advances in neural information processing systems, Becker S:Thrun S:Oberymayer K, ed. pp.617

Levine E (1999) Un-supervised estimation of cluster validity-methods and applications Masters Thesis

Levine E, Domany E (2001) Resampling method for unsupervised estimation of cluster validity. Neural Comput 13:2573-93 [Journal] [PubMed]

Rose K, Gurewitz E, Fox G (1992) Vector quantization and deterministic annealing IEEE Trans Inform Theory 38:1249-1257

Roth V, Lange T (2004) Bayesian class discovery in microarray datasets. IEEE Trans Biomed Eng 51:707-18 [Journal] [PubMed]

Shamir R, Sharan R (2001) Algorithmic approaches to clustering gene expression data Current topics in computational biology, Jiang T:Smith T:Xu Y:Zhang MQ, ed.

Sharan R, Shamir R (2000) CLICK: A clustering algorithm with applications to gene expression analysis ISMB :307-316

Smyth P (1998) Model selection for probabilistic clustering using cross-validated likelihood Tech Rep 98-09

Tamayo P, Slonim D, Mesirov J, Zhu Q, Kitareewan S, Dmitrovsky E, Lander ES, Golub TR (1999) Interpreting patterns of gene expression with self-organizing maps: methods and application to hematopoietic differentiation. Proc Natl Acad Sci U S A 96:2907-12 [PubMed]

Tibshirani R, Walther G, Botstein D, Brown P (2001) Cluster validation by prediction strength Tech Rep

Tibshirani R, Walther G, Hastie T (2001) Estimating the number of clusters via the gap statistic J Royal Statist Soc B 63:411-423

Yeung KY, Haynor DR, Ruzzo WL (2001) Validating clustering for gene expression data. Bioinformatics 17:309-18 [PubMed]

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

(33 refs)