Titlebook: Advances in Data Analysis; Proceedings of the 3 Reinhold Decker,Hans -J. Lenz Conference proceedings 2007 Springer-Verlag Berlin Heidelberg

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https://doi.org/10.1007/978-3-540-70981-7Analysis; Clustering; Multivariate statistics; Time series; classification; data analysis; data mining; sta

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https://doi.org/10.1007/978-0-387-73978-6 that use different information criteria is compared across a large experimental design. The results show that the performance of the information criteria vary across the design. Overall, AIC3 outperforms more widespread information criteria such as AIC and BIC for these finite mixture models.

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Introduction to the Notion of Symbolic Form for visualizing such results by drawing a two-dimensional color map that associates data with cluster memberships. The methodology is applicable to any unsupervised and supervised classification results.