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ECML
2004
Springer
15 years 7 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
15 years 7 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
109
Voted
DAWAK
2003
Springer
15 years 7 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
89
Voted
ESANN
2008
15 years 3 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»
15 years 2 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