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SDM
2009
SIAM
225views Data Mining» more  SDM 2009»
16 years 13 days ago
Integrated KL (K-means - Laplacian) Clustering: A New Clustering Approach by Combining Attribute Data and Pairwise Relations.
Most datasets in real applications come in from multiple sources. As a result, we often have attributes information about data objects and various pairwise relations (similarity) ...
Fei Wang, Chris H. Q. Ding, Tao Li
CCGRID
2005
IEEE
15 years 8 months ago
Evaluating the performance of the dNFSP file system
Parallel I/O in cluster computing is one of the most important issues to be tackled as clusters grow larger and larger. Many solutions have been proposed for the problem and, whil...
R. Kassick, Caciano Machado, Everton Hermann, Rafa...
COMPLIFE
2005
Springer
15 years 8 months ago
The Architecture of a Proteomic Network in the Yeast
Abstract. We describe an approach to clustering the yeast protein-protein interaction network in order to identify functional modules, groups of proteins forming multi-protein comp...
Emad Ramadan, Christopher Osgood, Alex Pothen
GD
2004
Springer
15 years 8 months ago
Clustering Cycles into Cycles of Clusters
In this paper we study simple families of clustered graphs that are highly unconnected. We start by studying 3-cluster cycles, which are clustered graphs such that the underlying ...
Pier Francesco Cortese, Giuseppe Di Battista, Maur...
TKDE
2008
111views more  TKDE 2008»
15 years 3 months ago
A Point Symmetry-Based Clustering Technique for Automatic Evolution of Clusters
In this paper, a new symmetry-based genetic clustering algorithm is proposed which automatically evolves the number of clusters as well as the proper partitioning from a data set. ...
Sanghamitra Bandyopadhyay, Sriparna Saha