23 search results - page 1 / 5 » Solving Consensus and Semi-supervised Clustering Problems Us... |
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...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Nonnegative Matrix Factorization (NMF) is a dimension reduction method that has been widely used for various tasks including text mining, pattern analysis, clustering, and cancer ...
ICDM
2008
IEEE
13 years 11 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) is a versatile model for data clustering. In this paper, we propose several NMF inspired algorithms to solve different data mining problems....
WEBI
2007
Springer
13 years 11 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 ...
ICPR
2008
IEEE
13 years 11 months ago
2008
IEEE
Nonnegative matrix factorization (NMF) has been shown to be an efficient clustering tool. However, NMF`s batch nature necessitates recomputation of whole basis set for new samples...