33 search results - page 1 / 7 » A General Framework for Fast Co-clustering on Large Datasets... |
ICDE
2008
IEEE
14 years 6 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...
SIGMOD
2008
ACM
14 years 4 months 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...
ICDM
2005
IEEE
13 years 10 months ago
2005
IEEE
Collaborative filtering-based recommender systems, which automatically predict preferred products of a user using known preferences of other users, have become extremely popular ...
ICASSP
2011
IEEE
12 years 8 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...
GFKL
2007
Springer
13 years 8 months ago
2007
Springer
In many classification applications, Support Vector Machines (SVMs) have proven to be highly performing and easy to handle classifiers with very good generalization abilities. Howe...