Algorithms from and for Nature and Life: Classification and Data Analysis

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Berthold Lausen, Dirk Van den Poel, Alfred Ultsch
Springer Science & Business Media, Aug 28, 2013 - Computers - 547 pages
This volume provides approaches and solutions to challenges occurring at the interface of research fields such as, e.g., data analysis, data mining and knowledge discovery, computer science, operations research, and statistics. In addition to theory-oriented contributions various application areas are included. Moreover, traditional classification research directions concerning network data, graphs, and social relationships as well as statistical musicology describe examples for current interest fields tackled by the authors. The book comprises a total of 55 selected papers presented at the Joint Conference of the German Classification Society (GfKl), the German Association for Pattern Recognition (DAGM), and the Symposium of the International Federation of Classification Societies (IFCS) in 2011.

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Part II Clustering and Unsupervised Learning
Part III Statistical Data Analysis Visualization and Scaling
Part IV Bioinformatics and Biostatistics
Part V Archaeology and Geography Psychology and Educational Sciences
Part VI Text Mining Social Networks and Clustering
Part VII Banking and Finance
Part VIII Marketing and Management
Part IX Music Classification Workshop

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