ICFCA
2009
Springer
14 years 7 months ago
2009
Springer
Matrix decomposition methods provide representations of an object-variable data matrix by a product of two different matrices, one describing relationship between objects and hidd...
SIGMOD
2008
ACM
15 years 24 days ago
2008
ACM
The problem of simultaneously clustering columns and rows (coclustering) arises in important applications, such as text data mining, microarray analysis, and recommendation system...
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ICDE
2008
IEEE
15 years 2 months ago
2008
IEEE
Abstract-- Simultaneously clustering columns and rows (coclustering) of large data matrix is an important problem with wide applications, such as document mining, microarray analys...