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» Algorithms for Clustering Data
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ICML
2009
IEEE
14 years 9 months ago
Multi-view clustering via canonical correlation analysis
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
SIGMOD
2004
ACM
140views Database» more  SIGMOD 2004»
14 years 8 months ago
Incremental and Effective Data Summarization for Dynamic Hierarchical Clustering
Mining informative patterns from very large, dynamically changing databases poses numerous interesting challenges. Data summarizations (e.g., data bubbles) have been proposed to c...
Corrine Cheng, Jörg Sander, Samer Nassar
ICIP
2008
IEEE
14 years 2 months ago
Learning efficient codes for 3D face recognition
Face representation based on the Visual Codebook becomes popular because of its excellent recognition performance, in which the critical problem is how to learn the most efficien...
Cheng Zhong, Zhenan Sun, Tieniu Tan
SDM
2008
SIAM
123views Data Mining» more  SDM 2008»
13 years 9 months ago
Constrained Co-clustering of Gene Expression Data
In many applications, the expert interpretation of coclustering is easier than for mono-dimensional clustering. Co-clustering aims at computing a bi-partition that is a collection...
Ruggero G. Pensa, Jean-François Boulicaut
BMCBI
2008
138views more  BMCBI 2008»
13 years 8 months ago
CASCADE: a novel quasi all paths-based network analysis algorithm for clustering biological interactions
Background: Quantitative characterization of the topological characteristics of protein-protein interaction (PPI) networks can enable the elucidation of biological functional modu...
Woochang Hwang, Young-Rae Cho, Aidong Zhang, Mural...