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CANDC
2006
ACM
14 years 9 months ago
Identification of functional modules in a PPI network by clique percolation clustering
Large-scale experiments and data integration have provided the opportunity to systematically analyze and comprehensively understand the topology of biological networks and biochem...
Shi-Hua Zhang, Xue-Mei Ning, Xiang-Sun Zhang
GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
15 years 3 months ago
An Indicator for the Number of Clusters: Using a Linear Map to Simplex Structure
Abstract. The problem of clustering data can be formulated as a graph partitioning problem. In this setting, spectral methods for obtaining optimal solutions have received a lot of...
Marcus Weber, Wasinee Rungsarityotin, Alexander Sc...
CEC
2005
IEEE
15 years 3 months ago
Improvements to the scalability of multiobjective clustering
In previous work, we have proposed a novel approach to data clustering based on the explicit optimization of a partitioning with respect to two complementary clustering objectives ...
Julia Handl, Joshua D. Knowles
ICDM
2002
IEEE
158views Data Mining» more  ICDM 2002»
15 years 2 months ago
Adaptive dimension reduction for clustering high dimensional data
It is well-known that for high dimensional data clustering, standard algorithms such as EM and the K-means are often trapped in local minimum. Many initialization methods were pro...
Chris H. Q. Ding, Xiaofeng He, Hongyuan Zha, Horst...
ISPDC
2007
IEEE
15 years 3 months ago
Towards Data Partitioning for Parallel Computing on Three Interconnected Clusters
We present a new data partitioning strategy for parallel computing on three interconnected clusters. This partitioning has two advantages over existing partitionings. First it can...
Brett A. Becker, Alexey L. Lastovetsky