Cooperation in Classification and Data Analysis

This volume presents theories, models, algorithms, and applications in clustering, classification, and visualization. It also includes applications of clustering, classification, and visualization in various fields such as marketing, recommendation system, biology, sociology, and social survey. The contributions give insight into new models and concepts and show the variety of research in clustering, classification, and visualization.

• Clustering
• STATISTICA
• Variable
• algorithms
• biology
• classification
• data analysis
• model
• multidimensional scaling

From the reviews:

“This edited volume is dedicated to the arena of clustering, classification and visualization. … This edited volume is a collection of selected papers presented at two joint German–Japanese symposia on data analysis and related fields. … Each paper starts with an abstract followed by a reasonably good introduction and the usual contents as expected in a research paper, and end with a conclusion and references. … Seemingly, the target audience may be … group of people doing research in these areas and libraries.” (Technometrics, Vol. 52 (1), February, 2010)

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