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108
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ICML
2008
IEEE
16 years 1 months ago
Statistical models for partial membership
We present a principled Bayesian framework for modeling partial memberships of data points to clusters. Unlike a standard mixture model which assumes that each data point belongs ...
Katherine A. Heller, Sinead Williamson, Zoubin Gha...
ICPR
2002
IEEE
16 years 1 months ago
Potential-Based Hierarchical Clustering
When performing hierarchical clustering, some metric must be used to determine the similarity between pairs of clusters. Traditional similarity metrics either can only deal with s...
Shuming Shi, Guangwen Yang, Dingxing Wang, Weimin ...
90
Voted
CLUSTER
2002
IEEE
15 years 5 months ago
Leveraging Standard Core Technologies to Programmatically Build Linux Cluster Appliances
Clusters have made the jump from lab prototypes to fullfledged production computing platforms. The number, variety, and specialized configurations of these machines are increasi...
Mason J. Katz, Philip M. Papadopoulos, Greg Bruno
137
Voted
KDD
2002
ACM
1075views Data Mining» more  KDD 2002»
16 years 28 days ago
CLOPE: a fast and effective clustering algorithm for transactional data
This paper studies the problem of categorical data clustering, especially for transactional data characterized by high dimensionality and large volume. Starting from a heuristic m...
Yiling Yang, Xudong Guan, Jinyuan You
112
Voted
HICSS
2002
IEEE
212views Biometrics» more  HICSS 2002»
15 years 5 months ago
Connectivity-Based k-Hop Clustering in Wireless Networks
Abstract. In this paper we describe several new clustering algorithms for nodes in a mobile ad hoc network. The main contribution is to generalize the cluster definition and forma...
Geng Chen, Fabian Garcia Nocetti, Julio Solano-Gon...