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» Clustering with or without the Approximation
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ICCCN
2007
IEEE
16 years 24 days ago
An Energy-Efficient Scheduling Algorithm Using Dynamic Voltage Scaling for Parallel Applications on Clusters
In the past decade cluster computing platforms have been widely applied to support a variety of scientific and commercial applications, many of which are parallel in nature. Howev...
Xiaojun Ruan, Xiao Qin, Ziliang Zong, Kiranmai Bel...
SPAA
2012
ACM
13 years 9 months ago
A scalable framework for heterogeneous GPU-based clusters
GPU-based heterogeneous clusters continue to draw attention from vendors and HPC users due to their high energy efficiency and much improved single-node computational performance...
Fengguang Song, Jack Dongarra
KAIS
2006
126views more  KAIS 2006»
15 years 6 months ago
Fast and exact out-of-core and distributed k-means clustering
Clustering has been one of the most widely studied topics in data mining and k-means clustering has been one of the popular clustering algorithms. K-means requires several passes ...
Ruoming Jin, Anjan Goswami, Gagan Agrawal
BMCBI
2005
198views more  BMCBI 2005»
15 years 6 months ago
Clustering protein sequences with a novel metric transformed from sequence similarity scores and sequence alignments with neural
Background: The sequencing of the human genome has enabled us to access a comprehensive list of genes (both experimental and predicted) for further analysis. While a majority of t...
Qicheng Ma, Gung-Wei Chirn, Richard Cai, Joseph D....
KDD
2012
ACM
196views Data Mining» more  KDD 2012»
13 years 9 months ago
Chromatic correlation clustering
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...