82 search results - page 3 / 17 » Distributed Information-Theoretic Biclustering |
TVCG
2010
13 years 5 months ago
2010
—The process of visualization can be seen as a visual communication channel where the input to the channel is the raw data, and the output is the result of a visualization algori...
ICML
2010
IEEE
13 years 7 months ago
2010
IEEE
In this paper we propose a novel clustering algorithm based on maximizing the mutual information between data points and clusters. Unlike previous methods, we neither assume the d...
ICPR
2010
IEEE
13 years 5 months ago
2010
IEEE
The expectation maximization (EM) algorithm is widely used in the Gaussian mixture model (GMM) as the state-of-art statistical modeling technique. Like the classical EM method, th...
SDM
2009
SIAM
14 years 4 months ago
2009
SIAM
Biclustering refers to simultaneous clustering of objects and their features. Use of biclustering is gaining momentum in areas such as text mining, gene expression analysis and co...
INFOCOM
2011
IEEE
12 years 11 months ago
2011
IEEE
—The main approaches to high speed measurement in routers are traffic sampling, and sketching. However, it is not known which paradigm is inherently better at extracting informa...