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80
Voted
ICPR
2006
IEEE
16 years 1 months ago
2006
IEEE
In many clustering applications, the user has some vague notion of the number and membership of the desired clusters. However, it is difficult for the user to provide such knowled...
107
Voted
KDD
2007
ACM
16 years 1 months ago
2007
ACM
Network clustering (or graph partitioning) is an important task for the discovery of underlying structures in networks. Many algorithms find clusters by maximizing the number of i...
77
Voted
TSD
2007
Springer
15 years 7 months ago
2007
Springer
Abstract. Clustering is often considered the most important unsupervised learning problem and several clustering algorithms have been proposed over the years. Many of these algorit...
100
Voted
COLT
2003
Springer
15 years 6 months ago
2003
Springer
We propose a new formulation of the clustering problem that differs from previous work in several aspects. First, the goal is to explicitly output a collection of simple and meani...
COLT
2010
Springer
14 years 11 months ago
2010
Springer
Clustering is a central unsupervised learning task with a wide variety of applications. Not surprisingly, there exist many clustering algorithms. However, unlike classification ta...