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» Co-Scheduling of Computation and Data on Computer Clusters
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ICML
2006
IEEE
16 years 4 months ago
Discriminative cluster analysis
Clustering is one of the most widely used statistical tools for data analysis. Among all existing clustering techniques, k-means is a very popular method because of its ease of pr...
Fernando De la Torre, Takeo Kanade
139
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CIS
2005
Springer
15 years 9 months ago
Concept Chain Based Text Clustering
Different from familiar clustering objects, text documents have sparse data spaces. A common way of representing a document is as a bag of its component words, but the semantic re...
Shaoxu Song, Jian Zhang, Chunping Li
153
Voted
CLUSTER
2009
IEEE
15 years 1 months ago
Design alternatives for implementing fence synchronization in MPI-2 one-sided communication for InfiniBand clusters
Scientific computing has seen an immense growth in recent years. The Message Passing Interface (MPI) has become the de-facto standard for parallel programming model for distribute...
Gopalakrishnan Santhanaraman, Tejus Gangadharappa,...
180
Voted
TASE
2010
IEEE
14 years 10 months ago
Robust Calibration for Localization in Clustered Wireless Sensor Networks
This paper presents a robust calibration procedure for clustered wireless sensor networks. Accurate calibration of between-node distances is one crucial step in localizing sensor n...
Jung Jin Cho, Yu Ding, Yong Chen, Jiong Tang
CLA
2004
15 years 5 months ago
Fast Factorization of Concept Lattices by Similarity: Solution and an Open Problem
An important problem in applications of formal concept analysis is a possibly large number of clusters extracted from data. Factorization is one of the methods being used to cope w...
Radim Belohlávek, Jiri Dvorak, Jan Outrata