239 search results - page 1 / 48 » Document clustering using nonnegative matrix factorization |
IPM
2006
13 years 4 months ago
2006
A methodology for automatically identifying and clustering semantic features or topics in a heterogeneous text collection is presented. Textual data is encoded using a low rank no...
COST
2010
Springer
12 years 11 months ago
2010
Springer
Abstract. There are considerable differences among infants in the quality of interaction with their parents. These differences depend especially on the infants development which af...
SIGIR
2003
ACM
13 years 10 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...
Publication
Non-negative matrix factorization (NMF) has become a standard tool in data mining, information retrieval, and signal processing. It is used to factorize a non-negative data matrix ...
ICDM
2007
IEEE
13 years 11 months ago
2007
IEEE
Consensus clustering and semi-supervised clustering are important extensions of the standard clustering paradigm. Consensus clustering (also known as aggregation of clustering) ca...