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» An overview of clustering methods
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CVPR
2004
IEEE
14 years 11 months ago
Spatially Coherent Clustering Using Graph Cuts
Feature space clustering is a popular approach to image segmentation, in which a feature vector of local properties (such as intensity, texture or motion) is computed at each pixe...
Ramin Zabih, Vladimir Kolmogorov
KDD
2006
ACM
173views Data Mining» more  KDD 2006»
14 years 9 months ago
Robust information-theoretic clustering
How do we find a natural clustering of a real world point set, which contains an unknown number of clusters with different shapes, and which may be contaminated by noise? Most clu...
Christian Böhm, Christos Faloutsos, Claudia P...
ICDM
2009
IEEE
169views Data Mining» more  ICDM 2009»
13 years 6 months ago
Learning the Shared Subspace for Multi-task Clustering and Transductive Transfer Classification
There are many clustering tasks which are closely related in the real world, e.g. clustering the web pages of different universities. However, existing clustering approaches neglec...
Quanquan Gu, Jie Zhou
CCGRID
2007
IEEE
14 years 3 months ago
Requirements of Peer-to-Peer-based Massively Multiplayer Online Gaming
Massively Multiplayer Online Games have become increasingly popular. However, their operation is costly, as game servers must be maintained. To reduce these costs, we aim at provi...
Gregor Schiele, Richard Süselbeck, Arno Wacke...
FUZZIEEE
2007
IEEE
14 years 3 months ago
Survey of Rough and Fuzzy Hybridization
— This paper provides a broad overview of logical and black box approaches to fuzzy and rough hybridization. The logical approaches include theoretical, supervised learning, feat...
Pawan Lingras, Richard Jensen