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» Using Library Dependencies for Clustering
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ACMSE
2007
ACM
13 years 12 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
IPPS
2000
IEEE
14 years 11 days ago
DyRecT: Software Support for Adaptive Parallelism on NOWs
Abstract. In this paper, we describe DyRecT (Dynamic Reconfiguration Toolkit) a software library that allows programmers to develop adaptively parallel message-passing MPI program...
Etienne Godard, Sanjeev Setia, Elizabeth L. White
BIOCOMP
2006
13 years 9 months ago
WebDock: A Structure-Based Drug Discovery Web Service
High-Throughput Docking has emerged as a well establish method for identifying lead components in the process of searching for new drugs. The High-Throughput Docking Service provi...
Joseph Gill, Legand L. Burge III, Zengjian Hu, Wil...
KDD
2003
ACM
180views Data Mining» more  KDD 2003»
14 years 8 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
IDEAL
2009
Springer
14 years 17 days ago
Web Feed Clustering and Tagging Aggregator Using Topological Tree-Based Self-Organizing Maps
With the rapid and dramatic increase in web feeds published by different publishers, providers or websites via Really Simple Syndication (RSS) and Atom, users cannot be expected t...
Richard T. Freeman