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ICDM
2008
IEEE
184views Data Mining» more  ICDM 2008»
15 years 8 months ago
Bayesian Co-clustering
In recent years, co-clustering has emerged as a powerful data mining tool that can analyze dyadic data connecting two entities. However, almost all existing co-clustering techniqu...
Hanhuai Shan, Arindam Banerjee
CLUSTER
2008
IEEE
15 years 8 months ago
Redistribution aware two-step scheduling for mixed-parallel applications
— Applications raising in many scientific fields exhibit both data and task parallelism that have to be exploited efficiently. A classic approach is to structure those applica...
Sascha Hunold, Thomas Rauber, Frédér...
DMIN
2008
152views Data Mining» more  DMIN 2008»
15 years 3 months ago
PCS: An Efficient Clustering Method for High-Dimensional Data
Clustering algorithms play an important role in data analysis and information retrieval. How to obtain a clustering for a large set of highdimensional data suitable for database ap...
Wei Li 0011, Cindy Chen, Jie Wang
ICPR
2006
IEEE
16 years 2 months ago
Learning Pairwise Similarity for Data Clustering
Each clustering algorithm induces a similarity between given data points, according to the underlying clustering criteria. Given the large number of available clustering technique...
Ana L. N. Fred, Anil K. Jain
BIBE
2003
IEEE
128views Bioinformatics» more  BIBE 2003»
15 years 7 months ago
A Repulsive Clustering Algorithm for Gene Expression Data
: - Facing the development of microarray technology, clustering is currently a leading technique to gene expression data analysis. In this paper, we propose a novel algorithm calle...
Chyun-Shin Cheng, Shiuan-Sz Wang