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» A divide-and-merge methodology for clustering
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108
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CLUSTER
2008
IEEE
15 years 7 months ago
Impact of topology and link aggregation on a PC cluster with Ethernet
Abstract—In addition to its use in local area networks, Ethernet has been used for connecting hosts in the area of highperformance computing. Here, we investigated the impact of ...
Takafumi Watanabe, Masahiro Nakao, Tomoyuki Hiroya...
103
Voted
BMCBI
2005
112views more  BMCBI 2005»
15 years 10 days 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...
104
Voted
BMCBI
2010
151views more  BMCBI 2010»
15 years 17 days ago
Data reduction for spectral clustering to analyze high throughput flow cytometry data
Background: Recent biological discoveries have shown that clustering large datasets is essential for better understanding biology in many areas. Spectral clustering in particular ...
Habil Zare, Parisa Shooshtari, Arvind Gupta, Ryan ...
NAR
2008
175views more  NAR 2008»
15 years 12 days ago
Onto-CC: a web server for identifying Gene Ontology conceptual clusters
The Gene Ontology (GO) vocabulary has been extensively explored to analyze the functions of coexpressed genes. However, despite its extended use in Biology and Medical Sciences, t...
Rocío Romero-Záliz, Coral del Val, J...
134
Voted
CIKM
2010
Springer
14 years 11 months ago
SHRINK: a structural clustering algorithm for detecting hierarchical communities in networks
Community detection is an important task for mining the structure and function of complex networks. Generally, there are several different kinds of nodes in a network which are c...
Jianbin Huang, Heli Sun, Jiawei Han, Hongbo Deng, ...