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» Cluster analysis of heterogeneous rank data
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ALT
2009
Springer
15 years 6 months ago
Approximation Algorithms for Tensor Clustering
Abstract. We present the first (to our knowledge) approximation algorithm for tensor clustering—a powerful generalization to basic 1D clustering. Tensors are increasingly common...
Stefanie Jegelka, Suvrit Sra, Arindam Banerjee
BMCBI
2005
167views more  BMCBI 2005»
14 years 9 months ago
Cross-platform analysis of cancer microarray data improves gene expression based classification of phenotypes
Background: The extensive use of DNA microarray technology in the characterization of the cell transcriptome is leading to an ever increasing amount of microarray data from cancer...
Patrick Warnat, Roland Eils, Benedikt Brors
BMCBI
2008
140views more  BMCBI 2008»
14 years 9 months ago
FUNYBASE: a FUNgal phYlogenomic dataBASE
Background: The increasing availability of fungal genome sequences provides large numbers of proteins for evolutionary and phylogenetic analyses. However the heterogeneity of data...
Sylvain Marthey, Gabriela Aguileta, Françoi...
IDA
2009
Springer
15 years 4 months ago
Probabilistic Factorization of Non-negative Data with Entropic Co-occurrence Constraints
Abstract. In this paper we present a probabilistic algorithm which factorizes non-negative data. We employ entropic priors to additionally satisfy that user specified pairs of fac...
Paris Smaragdis, Madhusudana V. S. Shashanka, Bhik...
CVPR
2012
IEEE
13 years 4 days ago
Mode-seeking on graphs via random walks
Mode-seeking has been widely used as a powerful data analysis technique for clustering and filtering in a metric feature space. We introduce a versatile and efficient modeseekin...
Minsu Cho, Kyoung Mu Lee