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Data Analysis, Classification, and Related Methods by J. A. Hartigan (auth.), Professor Dr. Henk A. L. Kiers, Professor Dr. Jean-Paul Rasson, Dr. Patrick J. F. Groenen, Professor Dr. Martin Schader (eds.) is a nonfiction available to read on EtoBox.
What is Data Analysis, Classification, and Related Methods about?
This volume contains a selection of papers presented at the Seven~h Confer ence of the International Federation of Classification Societies (IFCS-2000), which was held in Namur, Belgium, July 11-14,2000. From the originally sub mitted papers, a careful review process involving two reviewers per paper, led to the selection of 65 papers that were considered suitable for publication in this book. The present book contains original research contributions, innovative ap plications and overview papers in various fields within data analysis, classifi cation, and related methods. Given the fast publication process, the research results are still up-to-date and coincide with their actual presentation at the IFCS-2000 conference. The topics captured are: • Cluster analysis • Comparison of clusterings • Fuzzy clustering • Discriminant analysis • Mixture models • Analysis of relationships data • Symbolic data analysis • Regression trees • Data mining and neural networks • Pattern recognition • Multivariate data analysis • Robust data analysis • Data science and sampling The IFCS (International Federation of Classification Societies) The IFCS promotes the dissemination of technical and scientif
Who reads Data Analysis, Classification, and Related Methods?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- J. A. Hartigan (auth.), Professor Dr. Henk A. L. Kiers, Professor Dr. Jean-Paul Rasson, Dr. Patrick J. F. Groenen, Professor Dr. Martin Schader (eds.)
- Publisher
- Springer-Verlag Berlin Heidelberg
- Published
- 2000
- Language
- EN
- ISBN
- 9783540675211
- Category
- nonfiction
- Subjects
- Mathematics, Computer Science, Management
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