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181
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SIGMOD
2011
ACM
269views Database» more  SIGMOD 2011»
14 years 7 months ago
Advancing data clustering via projective clustering ensembles
Projective Clustering Ensembles (PCE) are a very recent advance in data clustering research which combines the two powerful tools of clustering ensembles and projective clustering...
Francesco Gullo, Carlotta Domeniconi, Andrea Tagar...
149
Voted
PPOPP
2006
ACM
15 years 10 months ago
Minimizing execution time in MPI programs on an energy-constrained, power-scalable cluster
Recently, the high-performance computing community has realized that power is a performance-limiting factor. One reason for this is that supercomputing centers have limited power ...
Robert Springer, David K. Lowenthal, Barry Rountre...
ICPR
2008
IEEE
15 years 10 months ago
Beyond partitions: Allowing overlapping groups in pairwise clustering
The field of pairwise clustering is currently dominated by the idea of dividing a set of objects into disjoints classes, thereby giving rise to (hard) partitions of the input dat...
Andrea Torsello, Samuel Rota Bulò, Marcello...
GLOBECOM
2007
IEEE
15 years 8 months ago
Resource Efficient Survivable Clustering for Wireless Sensor Networks
Abstract-- In this paper, we address both lifetime and survivability issues in wireless sensor networks (WSNs). We present an easy-to-implement clustering method called DED (distri...
Mohammad Masud Hasan, Jason P. Jue
92
Voted
CSDA
2010
105views more  CSDA 2010»
15 years 4 months ago
James-Stein shrinkage to improve k-means cluster analysis
We study a general algorithm to improve accuracy in cluster analysis that employs the James-Stein shrinkage effect in k-means clustering. We shrink the centroids of clusters towar...
Jinxin Gao, David B. Hitchcock