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» Clustering and the Biclique Partition Problem
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ICDM
2009
IEEE
117views Data Mining» more  ICDM 2009»
15 years 8 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
15 years 2 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»
15 years 2 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
15 years 5 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
15 years 2 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 ...