138 search results - page 20 / 28 » Information Theoretic Clustering of Sparse Co-Occurrence Dat... |
DATAMINE
2007
13 years 7 months ago
2007
The high dimensionality of massive data results in the discovery of a large number of association rules. The huge number of rules makes it difficult to interpret and react to all ...
TKDE
2010
13 years 2 months ago
2010
Coclustering heterogeneous data has attracted extensive attention recently due to its high impact on various important applications, such us text mining, image retrieval, and bioin...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Image data are often composed of two or more geometrically distinct constituents; in galaxy catalogs, for instance, one sees a mixture of pointlike structures (galaxy supercluster...
ICDE
2010
IEEE
14 years 7 months ago
2010
IEEE
Searching and extracting meaningful information out of highly heterogeneous datasets is a hot topic that received a lot of attention. However, the existing solutions are based on e...
SDM
2004
SIAM
13 years 9 months ago
2004
SIAM
A wide variety of distortion functions, such as squared Euclidean distance, Mahalanobis distance, Itakura-Saito distance and relative entropy, have been used for clustering. In th...