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ECML
2004
Springer
14 years 3 months ago
Associative Clustering
This report contains derivations which did not fit into the paper [3]. Associative clustering (AC) is a method for separately clustering two data sets when one-to-one association...
Janne Sinkkonen, Janne Nikkilä, Leo Lahti, Sa...
LAWEB
2003
IEEE
14 years 3 months ago
Clustering the Chilean Web
We perform a clustering of the Chilean Web Graph using a local fitness measure, optimized by simulated annealing, and compare the obtained cluster distribution to that of two mod...
Satu Virtanen
DAWAK
2003
Springer
14 years 3 months ago
Clustering by Regression Analysis
Abstract In data clustering, many approaches have been proposed. For example, K-means method and hierarchical method. A problem is in effect by initial value and criterion to comb...
Masahiro Motoyoshi, Takao Miura, Isamu Shioya
ESANN
2008
13 years 11 months ago
SOM based clustering with instance-level constraints
This paper describes a new topological map dedicated to clustering under instance-level constraints. In general, traditional clustering is used in an unsupervised manner. However,...
Fazia Bellal, Khalid Benabdeslem, Alexandre Aussem
CGF
2010
112views more  CGF 2010»
13 years 10 months ago
Evaluation of Cluster Identification Performance for Different PCP Variants
Parallel coordinate plots (PCPs) are a well-known visualization technique for viewing multivariate data. In the past, various visual modifications to PCPs have been proposed to fa...
Danny Holten, Jarke J. van Wijk