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» Clustering and the Biclique Partition Problem
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ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
14 years 3 months ago
Redistricting Using Heuristic-Based Polygonal Clustering
— Redistricting is the process of dividing a geographic area into districts or zones. This process has been considered in the past as a problem that is computationally too comple...
Deepti Joshi, Leen-Kiat Soh, Ashok Samal
USENIX
2000
13 years 10 months ago
Dynamic Function Placement for Data-Intensive Cluster Computing
Optimally partitioning application and filesystem functionality within a cluster of clients and servers is a difficult problem due to dynamic variations in application behavior, r...
Khalil Amiri, David Petrou, Gregory R. Ganger, Gar...
SDM
2007
SIAM
184views Data Mining» more  SDM 2007»
13 years 10 months ago
Mining Naturally Smooth Evolution of Clusters from Dynamic Data
Many clustering algorithms have been proposed to partition a set of static data points into groups. In this paper, we consider an evolutionary clustering problem where the input d...
Yi Wang, Shi-Xia Liu, Jianhua Feng, Lizhu Zhou
WCRE
1999
IEEE
14 years 1 months ago
MoJo: A Distance Metric for Software Clusterings
The software clustering problem has attracted much attention recently, since it is an integral part of the process of reverse engineering large software systems. A key problem in ...
Vassilios Tzerpos, Richard C. Holt
NIPS
2001
13 years 10 months ago
Spectral Relaxation for K-means Clustering
The popular K-means clustering partitions a data set by minimizing a sum-of-squares cost function. A coordinate descend method is then used to nd local minima. In this paper we sh...
Hongyuan Zha, Xiaofeng He, Chris H. Q. Ding, Ming ...