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» Co-Scheduling of Computation and Data on Computer Clusters
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110
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ICPR
2010
IEEE
15 years 7 months ago
Probabilistic Clustering Using the Baum-Eagon Inequality
The paper introduces a framework for clustering data objects in a similarity-based context. The aim is to cluster objects into a given number of classes without imposing a hard pa...
Samuel Rota Bulo', Marcello Pelillo
ECCV
2010
Springer
15 years 6 months ago
Learning Shape Segmentation Using Constrained Spectral Clustering and Probabilistic Label Transfer
We propose a spectral learning approach to shape segmentation. The method is composed of a constrained spectral clustering algorithm that is used to supervise the segmentation of a...
156
Voted
ICPR
2008
IEEE
16 years 5 months ago
Multiclass spectral clustering based on discriminant analysis
Many existing spectral clustering algorithms share a conventional graph partitioning criterion: normalized cuts (NC). However, one problem with NC is that it poorly captures the g...
Xi Li, Zhongfei Zhang, Yanguo Wang, Weiming Hu
SDM
2011
SIAM
414views Data Mining» more  SDM 2011»
14 years 6 months ago
Clustered low rank approximation of graphs in information science applications
In this paper we present a fast and accurate procedure called clustered low rank matrix approximation for massive graphs. The procedure involves a fast clustering of the graph and...
Berkant Savas, Inderjit S. Dhillon
116
Voted
SIGGRAPH
1995
ACM
15 years 7 months ago
Stochastic screening dithering with adaptive clustering
We developa clustereddithering methodthatusesstochasticscreening and is able to perform an adaptive variation of the cluster size. This makes it possible to achieve optimal rendit...
Luiz Velho, Jonas Gomes