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FLAIRS
2004
14 years 11 months ago
Adaptive K-Means Clustering
Clustering is used to organize data for efficient retrieval. One of the problems in clustering is the identification of clusters in given data. A popular technique for clustering ...
Sanjiv K. Bhatia
IPPS
2005
IEEE
15 years 3 months ago
Maximizing the Lifetime of Dominating Sets
We investigate the problem of maximizing the lifetime of wireless ad hoc and sensor networks. Being battery powered, nodes in such networks have to perform their intended task und...
Thomas Moscibroda, Roger Wattenhofer
SIGMOD
1998
ACM
271views Database» more  SIGMOD 1998»
14 years 9 months ago
Towards On-Line Analytical Mining in Large Databases
Great e orts have been paid in the Intelligent Database Systems Research Lab for the research and development of e cient data mining methods and construction of on-line analytical...
Jiawei Han
NIPS
2003
14 years 11 months ago
Identifying Structure across Pre-partitioned Data
We propose an information-theoretic clustering approach that incorporates a pre-known partition of the data, aiming to identify common clusters that cut across the given partition...
Zvika Marx, Ido Dagan, Eli Shamir
ICML
2003
IEEE
15 years 10 months ago
Random Projection for High Dimensional Data Clustering: A Cluster Ensemble Approach
We investigate how random projection can best be used for clustering high dimensional data. Random projection has been shown to have promising theoretical properties. In practice,...
Xiaoli Zhang Fern, Carla E. Brodley