847 search results - page 11 / 170 » Approximation algorithms for projective clustering |
153
click to vote
APBC
2004
15 years 4 months ago
2004
Huge amount of gene expression data have been generated as a result of the human genomic project. Clustering has been used extensively in mining these gene expression data to find...
157
click to vote
CIARP
2010
Springer
15 years 2 months ago
2010
Springer
Abstract. Feature selection has improved the performance of text clustering. In this paper, a local feature selection technique is incorporated in the dynamic hierarchical compact ...
113
click to vote
APPROX
2008
Springer
15 years 5 months ago
2008
Springer
Clustering is a common problem in the analysis of large data sets. Streaming algorithms, which make a single pass over the data set using small working memory and produce a cluster...
122
click to vote
PODS
2008
ACM
16 years 3 months ago
2008
ACM
Co-clustering is the simultaneous partitioning of the rows and columns of a matrix such that the blocks induced by the row/column partitions are good clusters. Motivated by severa...
146
click to vote
SADM
2008
15 years 2 months ago
2008
: Nonnegative matrix approximation (NNMA) is a popular matrix decomposition technique that has proven to be useful across a diverse variety of fields with applications ranging from...