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ICDM
2007
IEEE
140views Data Mining» more  ICDM 2007»
15 years 10 months ago
Finding Cohesive Clusters for Analyzing Knowledge Communities
Documents and authors can be clustered into “knowledge communities” based on the overlap in the papers they cite. We introduce a new clustering algorithm, Streemer, which fin...
Vasileios Kandylas, S. Phineas Upham, Lyle H. Unga...
TKDE
2008
127views more  TKDE 2008»
15 years 4 months ago
Maximal Subspace Coregulated Gene Clustering
Clustering is a popular technique for analyzing microarray data sets, with n genes and m experimental conditions. As explored by biologists, there is a real need to identify coregu...
Yuhai Zhao, Jeffrey Xu Yu, Guoren Wang, Lei Chen 0...
KDD
2007
ACM
184views Data Mining» more  KDD 2007»
16 years 4 months ago
Dynamic hybrid clustering of bioinformatics by incorporating text mining and citation analysis
To unravel the concept structure and dynamics of the bioinformatics field, we analyze a set of 7401 publications from the Web of Science and MEDLINE databases, publication years 1...
Bart De Moor, Frizo A. L. Janssens, Wolfgang Gl&au...
153
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JIIS
2006
103views more  JIIS 2006»
15 years 4 months ago
Time-focused clustering of trajectories of moving objects
Spatio-temporal, geo-referenced datasets are growing rapidly, and will be more in the near future, due to both technological and social/commercial reasons. From the data mining vie...
Mirco Nanni, Dino Pedreschi
SIGIR
2002
ACM
15 years 3 months ago
Unsupervised document classification using sequential information maximization
We present a novel sequential clustering algorithm which is motivated by the Information Bottleneck (IB) method. In contrast to the agglomerative IB algorithm, the new sequential ...
Noam Slonim, Nir Friedman, Naftali Tishby