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» Clustering on Complex Graphs
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KDD
2003
ACM
180views Data Mining» more  KDD 2003»
16 years 7 months ago
Classifying large data sets using SVMs with hierarchical clusters
Support vector machines (SVMs) have been promising methods for classification and regression analysis because of their solid mathematical foundations which convey several salient ...
Hwanjo Yu, Jiong Yang, Jiawei Han
IPPS
2009
IEEE
16 years 1 months ago
High-order stencil computations on multicore clusters
Stencil computation (SC) is of critical importance for broad scientific and engineering applications. However, it is a challenge to optimize complex, highorder SC on emerging clus...
Liu Peng, Richard Seymour, Ken-ichi Nomura, Rajiv ...
BIBE
2008
IEEE
142views Bioinformatics» more  BIBE 2008»
16 years 1 months ago
Optimizing performance, cost, and sensitivity in pairwise sequence search on a cluster of PlayStations
— The Smith-Waterman algorithm is a dynamic programming method for determining optimal local alignments between nucleotide or protein sequences. However, it suffers from quadrati...
Ashwin M. Aji, Wu-chun Feng
ACMSE
2007
ACM
15 years 10 months ago
Verifying design modularity, hierarchy, and interaction locality using data clustering techniques
Modularity, hierarchy, and interaction locality are general approaches to reducing the complexity of any large system. A widely used principle in achieving these goals in designin...
Liguo Yu, Srini Ramaswamy
BMCBI
2010
102views more  BMCBI 2010»
15 years 7 months ago
Alignment and clustering of phylogenetic markers - implications for microbial diversity studies
Background: Molecular studies of microbial diversity have provided many insights into the bacterial communities inhabiting the human body and the environment. A common first step ...
James Robert White, Saket Navlakha, Niranjan Nagar...