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ICDM
2007
IEEE
149views Data Mining» more  ICDM 2007»
15 years 6 months ago
Solving Consensus and Semi-supervised Clustering Problems Using Nonnegative Matrix Factorization
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...
Tao Li, Chris H. Q. Ding, Michael I. Jordan
109
Voted
ICAI
2010
14 years 10 months ago
Exact Loopy Belief Propagation on Euler Graphs
Belief propagation is widely used in inference of graphical models. It yields exact solutions when the underlying graph is singly connected. When the graph contains loops, double-c...
Chen-Hsiang Yeang
116
Voted
SIGKDD
2008
125views more  SIGKDD 2008»
15 years 11 days ago
Incremental pattern discovery on streams, graphs and tensors
Incremental pattern discovery targets streaming applications where the data continuously arrive incrementally. The questions are how to find patterns (main trends) incrementally; ...
Jimeng Sun
112
Voted
IM
2008
15 years 14 days ago
Finding Strongly Knit Clusters in Social Networks
Social networks are ubiquitous. The discovery of close-knit clusters in these networks is of fundamental and practical interest. Existing clustering criteria are limited in that c...
Nina Mishra, Robert Schreiber, Isabelle Stanton, R...
100
Voted
SIGIR
2008
ACM
14 years 12 months ago
Pagerank based clustering of hypertext document collections
Clustering hypertext document collection is an important task in Information Retrieval. Most clustering methods are based on document content and do not take into account the hype...
Konstantin Avrachenkov, Vladimir Dobrynin, Danil N...