6 search results - page 1 / 2 » Pairwise Constraints-Guided Non-negative Matrix Factorizatio... |
WEBI
2007
Springer
13 years 10 months ago
2007
Springer
Nonnegative Matrix Factorization (NMF) has been proven to be effective in text mining. However, since NMF is a well-known unsupervised components analysis technique, the existing ...
SIGIR
2003
ACM
13 years 9 months ago
2003
ACM
In this paper, we propose a novel document clustering method based on the non-negative factorization of the termdocument matrix of the given document corpus. In the latent semanti...
TKDE
2011
12 years 11 months ago
2011
—Previous studies have demonstrated that document clustering performance can be improved significantly in lower dimensional linear subspaces. Recently, matrix factorization base...
SIGIR
2005
ACM
13 years 10 months ago
2005
ACM
Non-negative Matrix Factorization (NMF, [5]) and Probabilistic Latent Semantic Analysis (PLSA, [4]) have been successfully applied to a number of text analysis tasks such as docum...
CSDA
2008
13 years 4 months ago
2008
Non-negative Matrix Factorization (NMF) and Probabilistic Latent Semantic Indexing (PLSI) have been successfully applied to document clustering recently. In this paper, we show th...