Best clustering configuration metrics: towards multiagent based clustering
ADMA'10 Proceedings of the 6th international conference on Advanced data mining and applications: Part I
Consensus strategy for clustering using RC-images
Pattern Recognition
A framework to monitor clusters evolution applied to economy and finance problems
Intelligent Data Analysis
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Data clustering is an important procedure to detect hidden patterns of a data set in a variety of fields, yet clustering analysis is a challenging problem, because many factors play together in devising and selecting a well tuned clustering technique and there are no predefined classes or examples to show whether the clusters are valid or not. In this paper, cluster validation methods are reviewed, and an extended tool with validation indices is developed.