Advanced Clustering Techniques

[1]  Jennifer Widom,et al.  Clustering association rules , 1997, Proceedings 13th International Conference on Data Engineering.

[2]  John F. Roddick,et al.  Higher order mining , 2008, SKDD.

[3]  John F. Roddick,et al.  A Survey of Temporal Knowledge Discovery Paradigms and Methods , 2002, IEEE Trans. Knowl. Data Eng..

[4]  Renée J. Miller,et al.  Association rules over interval data , 1997, SIGMOD '97.

[5]  P. Rousseeuw Silhouettes: a graphical aid to the interpretation and validation of cluster analysis , 1987 .

[6]  Satu Elisa Schaeffer,et al.  Graph Clustering , 2017, Encyclopedia of Machine Learning and Data Mining.

[7]  Paul S. Bradley,et al.  Refining Initial Points for K-Means Clustering , 1998, ICML.

[8]  George C Tseng,et al.  Tight Clustering: A Resampling‐Based Approach for Identifying Stable and Tight Patterns in Data , 2005, Biometrics.

[9]  W. Wasserman,et al.  Discovery and Expansion of Gene Modules by Seeking Isolated Groups in a Random Graph Process , 2008, PloS one.

[10]  Gediminas Adomavicius,et al.  Handling very large numbers of association rules in the analysis of microarray data , 2002, KDD.

[11]  W. Wong,et al.  Transitive functional annotation by shortest-path analysis of gene expression data , 2002, Proceedings of the National Academy of Sciences of the United States of America.

[12]  Shie-Jue Lee,et al.  A Kernel-Based Two-Stage Nu-Support Vector Clustering Algorithm , 2007, 2007 International Conference on Machine Learning and Cybernetics.

[13]  Robert Tibshirani,et al.  Cluster Validation by Prediction Strength , 2005 .

[14]  Chung-Chin Lu,et al.  Extracting transcription factor binding sites from unaligned gene sequences with statistical models , 2008, BMC Bioinformatics.

[15]  Gilbert Saporta,et al.  Comparing partitions of two sets of units based on the same variables , 2010, Adv. Data Anal. Classif..

[16]  Ramakrishnan Srikant,et al.  Mining sequential patterns , 1995, Proceedings of the Eleventh International Conference on Data Engineering.

[17]  Mark A. Girolami,et al.  Mercer kernel-based clustering in feature space , 2002, IEEE Trans. Neural Networks.

[18]  Bernhard Schölkopf,et al.  Estimating the Support of a High-Dimensional Distribution , 2001, Neural Computation.

[19]  Robert Meersman,et al.  On the Complexity of Mining Quantitative Association Rules , 1998, Data Mining and Knowledge Discovery.

[20]  Rui Xu,et al.  Survey of clustering algorithms , 2005, IEEE Transactions on Neural Networks.

[21]  M. Newman,et al.  Mixing Patterns and Community Structure in Networks , 2002, cond-mat/0210146.

[22]  Martin C. Frith,et al.  SeqVISTA: a graphical tool for sequence feature visualization and comparison , 2003, BMC Bioinformatics.

[23]  Ming Ouyang,et al.  Gaussian mixture clustering and imputation of microarray data , 2004, Bioinform..

[24]  David Kempe,et al.  A decentralized algorithm for spectral analysis , 2004, STOC '04.

[25]  A. Raftery,et al.  Model-based Gaussian and non-Gaussian clustering , 1993 .

[26]  Manabu Kotani,et al.  Analysis of DNA microarray data using self-organizing map and kernel based clustering , 2002, Proceedings of the 9th International Conference on Neural Information Processing, 2002. ICONIP '02..

[27]  Hideo Matsuda,et al.  Classifying Molecular Sequences Using a Linkage Graph With Their Pairwise Similarities , 1999, Theor. Comput. Sci..

[28]  Donald W. Bouldin,et al.  A Cluster Separation Measure , 1979, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[29]  Douglas B. Kell,et al.  Computational cluster validation in post-genomic data analysis , 2005, Bioinform..

[30]  Andrew V. Goldberg,et al.  A new approach to the maximum flow problem , 1986, STOC '86.

[31]  Ujjwal Maulik,et al.  Performance Evaluation of Some Clustering Algorithms and Validity Indices , 2002, IEEE Trans. Pattern Anal. Mach. Intell..

[32]  M. Davidson,et al.  Rapid three-dimensional isotropic imaging of living cells using Bessel beam plane illumination , 2011, Nature Methods.

[33]  Vladimir Vapnik,et al.  An overview of statistical learning theory , 1999, IEEE Trans. Neural Networks.

[34]  G. Schwarz Estimating the Dimension of a Model , 1978 .

[35]  Adrian E. Raftery,et al.  Model-based clustering and data transformations for gene expression data , 2001, Bioinform..

[36]  T. C. Hu,et al.  Multi-Terminal Network Flows , 1961 .

[37]  Heikki Mannila,et al.  Pruning and grouping of discovered association rules , 1995 .