61 search results - page 11 / 13 » Incremental clustering via nonnegative matrix factorization |
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Document understanding techniques such as document clustering and multi-document summarization have been receiving much attention in recent years. Current document clustering meth...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
The K-means clustering problem seeks to partition the columns of a data matrix in subsets, such that columns in the same subset are ‘close’ to each other. The co-clustering pr...
ICA
2010
Springer
13 years 7 months ago
2010
Springer
We develop a probabilistic modeling framework for multiway arrays. Our framework exploits the link between graphical models and tensor factorization models and it can realize any ...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
In this paper, we present a novel approach to learning semantic localized patterns with binary projections in a supervised manner. The pursuit of these binary projections is refor...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
In most IR clustering problems, we directly cluster the documents, working in the document space, using cosine similarity between documents as the similarity measure. In many real...