9 search results - page 2 / 2 » Identifiability Conditions and Subspace Clustering in Sparse... |
TKDE
2008
13 years 6 months ago
2008
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...
ICDE
2006
IEEE
14 years 7 months ago
2006
IEEE
In this paper, we propose a new model for coherent clustering of gene expression data called reg-cluster. The proposed model allows (1) the expression profiles of genes in a clust...
IM
2008
13 years 6 months ago
2008
Social networks are ubiquitous. The discovery of close-knit clusters in these networks is of fundamental and practical interest. Existing clustering criteria are limited in that c...
BMCBI
2006
13 years 6 months ago
2006
Background: An alternative to standard approaches to uncover biologically meaningful structures in micro array data is to treat the data as a blind source separation (BSS) problem...