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» MABAC - Matrix Based Clustering Algorithm
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ICDE
2005
IEEE
132views Database» more  ICDE 2005»
15 years 7 months ago
CLICKS: Mining Subspace Clusters in Categorical Data via K-partite Maximal Cliques
We present a novel algorithm called CLICKS, that finds clusters in categorical datasets based on a search for kpartite maximal cliques. Unlike previous methods, CLICKS mines subs...
Mohammed Javeed Zaki, Markus Peters
COLING
2010
14 years 8 months ago
Semi-supervised Semantic Pattern Discovery with Guidance from Unsupervised Pattern Clusters
We present a simple algorithm for clustering semantic patterns based on distributional similarity and use cluster memberships to guide semi-supervised pattern discovery. We apply ...
Ang Sun, Ralph Grishman
IPPS
2010
IEEE
14 years 11 months ago
A distributed diffusive heuristic for clustering a virtual P2P supercomputer
Abstract--For the management of a virtual P2P supercomputer one is interested in subgroups of processors that can communicate with each other efficiently. The task of finding these...
Joachim Gehweiler, Henning Meyerhenke
121
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TDP
2010
166views more  TDP 2010»
14 years 8 months ago
Communication-Efficient Privacy-Preserving Clustering
The ability to store vast quantities of data and the emergence of high speed networking have led to intense interest in distributed data mining. However, privacy concerns, as well ...
Geetha Jagannathan, Krishnan Pillaipakkamnatt, Reb...
CSDA
2007
99views more  CSDA 2007»
15 years 1 months ago
CLUES: A non-parametric clustering method based on local shrinking
In this paper, we propose a novel non-parametric clustering method based on non-parametric local shrinking. Each data point is transformed in such a way that it moves a specific ...
Xiaogang Wang, Weiliang Qiu, Ruben H. Zamar