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» Algorithms for Clustering Data
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164
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ICDM
2010
IEEE
230views Data Mining» more  ICDM 2010»
15 years 2 months ago
Clustering Large Attributed Graphs: An Efficient Incremental Approach
In recent years, many networks have become available for analysis, including social networks, sensor networks, biological networks, etc. Graph clustering has shown its effectivenes...
Yang Zhou, Hong Cheng, Jeffrey Xu Yu
ICPR
2002
IEEE
15 years 9 months ago
Exploratory Analysis of Point Proximity in Subspaces
We consider clustering as computation of a structure of proximity relationships within a data set in a feature space or its subspaces. We propose a data structure to represent suc...
Tin Kam Ho
IDEAL
2004
Springer
15 years 10 months ago
The Application of K-Medoids and PAM to the Clustering of Rules
Abstract. Earlier research has resulted in the production of an ‘allrules’ algorithm for data-mining that produces all conjunctive rules of above given confidence and coverage...
Alan P. Reynolds, Graeme Richards, Victor J. Raywa...
121
Voted
SIGGRAPH
1995
ACM
15 years 8 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
APCHI
2004
IEEE
15 years 8 months ago
Evolutionary Approaches to Visualisation and Knowledge Discovery
Haiku is a data mining system which combines the best properties of human and machine discovery. An self organising visualisation system is coupled with a genetic algorithm to prov...
Russell Beale, Andy Pryke, Robert J. Hendley