Sciweavers

5880 search results - page 25 / 1176
» Data Clustering: A Review
Sort
View
KDD
2005
ACM
166views Data Mining» more  KDD 2005»
14 years 8 months ago
A general model for clustering binary data
Clustering is the problem of identifying the distribution of patterns and intrinsic correlations in large data sets by partitioning the data points into similarity classes. This p...
Tao Li
DMIN
2008
152views Data Mining» more  DMIN 2008»
13 years 9 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
14 years 8 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»
14 years 26 days 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
IS
2010
13 years 5 months ago
Building concepts for AI agents using information theoretic Co-clustering
Abstract--High level conceptual thought seems to be at the basis of the impressive human cognitive ability, and AI researchers aim to replicate this ability in artificial agents. C...
Jason R. Chen