22 search results - page 3 / 5 » Quantization and clustering with Bregman divergences |
KDD
2004
ACM
14 years 5 months ago
2004
ACM
Co-clustering is a powerful data mining technique with varied applications such as text clustering, microarray analysis and recommender systems. Recently, an informationtheoretic ...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
In this paper, we present a measure associated with detection and inference of statistically anomalous clusters of a graph based on the likelihood test of observed and expected ed...
IDA
2010
Springer
13 years 3 months ago
2010
Springer
We propose a clustering algorithm that effectively utilizes feature order preferences, which have the form that feature s is more important than feature t. Our clustering formulati...
SDM
2007
SIAM
13 years 6 months ago
2007
SIAM
A number of real-world domains such as social networks and e-commerce involve heterogeneous data that describes relations between multiple classes of entities. Understanding the n...
SODA
2008
ACM
13 years 6 months ago
2008
ACM
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P, our goal is to find a set C of size k such that the s...