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KDD
2005
ACM
157views Data Mining» more  KDD 2005»
16 years 3 months ago
A fast kernel-based multilevel algorithm for graph clustering
Graph clustering (also called graph partitioning) -- clustering the nodes of a graph -- is an important problem in diverse data mining applications. Traditional approaches involve...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
102
Voted
JSSPP
2005
Springer
15 years 9 months ago
Workload Analysis of a Cluster in a Grid Environment
With Grids, we are able to share computing resources and to provide for scientific communities a global transparent access to local facilities. In such an environment the problems...
Emmanuel Medernach
FOCS
1999
IEEE
15 years 7 months ago
A Sublinear Time Approximation Scheme for Clustering in Metric Spaces
The metric 2-clustering problem is de ned as follows: given a metric (X;d), partition X into two sets S1 and S2 in order to minimize the value of X i X fu;vg Si d(u;v) In this pap...
Piotr Indyk
ICCV
2009
IEEE
1119views Computer Vision» more  ICCV 2009»
16 years 8 months ago
Spectral clustering of linear subspaces for motion segmentation
This paper studies automatic segmentation of multiple motions from tracked feature points through spectral embedding and clustering of linear subspaces. We show that the dimensi...
Fabien Lauer, Christoph Schn¨orr
157
Voted
ICDE
2009
IEEE
170views Database» more  ICDE 2009»
15 years 10 months ago
On High Dimensional Projected Clustering of Uncertain Data Streams
— In this paper, we will study the problem of projected clustering of uncertain data streams. The use of uncertainty is especially important in the high dimensional scenario, bec...
Charu C. Aggarwal