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TALG
2010
158views more  TALG 2010»
15 years 1 months ago
Clustering for metric and nonmetric distance measures
We study a generalization of the k-median problem with respect to an arbitrary dissimilarity measure D. Given a finite set P of size n, our goal is to find a set C of size k such t...
Marcel R. Ackermann, Johannes Blömer, Christi...
IPPS
2006
IEEE
16 years 26 days ago
MegaProto/E: power-aware high-performance cluster with commodity technology
In our research project named “Mega-Scale Computing Based on Low-Power Technology and Workload Modeling”, we have been developing a prototype cluster not based on ASIC or FPGA...
Taisuke Boku, Mitsuhisa Sato, Daisuke Takahashi, H...
MM
2005
ACM
122views Multimedia» more  MM 2005»
16 years 12 days ago
Image clustering with tensor representation
We consider the problem of image representation and clustering. Traditionally, an n1 × n2 image is represented by a vector in the Euclidean space Rn1×n2 . Some learning algorith...
Xiaofei He, Deng Cai, Haifeng Liu, Jiawei Han
BMCBI
2005
112views more  BMCBI 2005»
15 years 6 months ago
Visualization methods for statistical analysis of microarray clusters
Background: The most common method of identifying groups of functionally related genes in microarray data is to apply a clustering algorithm. However, it is impossible to determin...
Matthew A. Hibbs, Nathaniel C. Dirksen, Kai Li, Ol...
LCN
2006
IEEE
16 years 26 days ago
Clustered Mobility Model for Scale-Free Wireless Networks
— Recently, researchers have discovered that many of social, natural and biological networks are characterized by scale-free power-law connectivity distribution and a few densely...
Sunho Lim, Chansu Yu, Chita R. Das