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CCECE
2009
IEEE
16 years 9 days ago
Cluster head selection using RF signal strength
The LEACH algorithm for selecting cluster heads is a probabilistic method which produces clusters with a large variation of link distances and uneven energy consumption during the...
Scott Fazackerley, Alan Paeth, Ramon Lawrence
ICDM
2002
IEEE
191views Data Mining» more  ICDM 2002»
16 years 4 days ago
Iterative Clustering of High Dimensional Text Data Augmented by Local Search
The k-means algorithm with cosine similarity, also known as the spherical k-means algorithm, is a popular method for clustering document collections. However, spherical k-means ca...
Inderjit S. Dhillon, Yuqiang Guan, J. Kogan
EUROPAR
2001
Springer
15 years 11 months ago
Self-Organizing Hierarchical Cluster Timestamps
Distributed-system observation tools require an efficient data structure to store and query the partial-order of execution. Such data structures typically use vector timestamps to...
Paul A. S. Ward, David J. Taylor
PAMI
2011
15 years 2 months ago
Parallel Spectral Clustering in Distributed Systems
Spectral clustering algorithms have been shown to be more effective in finding clusters than some traditional algorithms such as k-means. However, spectral clustering suffers fro...
Wen-Yen Chen, Yangqiu Song, Hongjie Bai, Chih-Jen ...
KDD
2012
ACM
281views Data Mining» more  KDD 2012»
13 years 9 months ago
Active spectral clustering via iterative uncertainty reduction
Spectral clustering is a widely used method for organizing data that only relies on pairwise similarity measurements. This makes its application to non-vectorial data straightforw...
Fabian L. Wauthier, Nebojsa Jojic, Michael I. Jord...