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» Graph-Based Data Clustering with Overlaps
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CANDC
2006
ACM
15 years 3 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
151
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GFKL
2005
Springer
95views Data Mining» more  GFKL 2005»
15 years 9 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 9 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 8 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 10 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