TitleData Analysis, Classification, and Related Methods [electronic resource] / edited by Henk A. L. Kiers, Jean-Paul Rasson, Patrick J. F. Groenen, Martin Schader
ImprintBerlin, Heidelberg : Springer Berlin Heidelberg, 2000
Connect tohttp://dx.doi.org/10.1007/978-3-642-59789-3
Descript XIV, 428 p. 38 illus. online resource

SUMMARY

This volume contains a selection of papers presented at the Seveñh Conferยญ ence of the International Federation of Classification Societies (IFCS-2000), which was held in Namur, Belgium, July 11-14,2000. From the originally subยญ 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 apยญ plications and overview papers in various fields within data analysis, classifiยญ 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: โข Cluster analysis โข Comparison of clusterings โข Fuzzy clustering โข Discriminant analysis โข Mixture models โข Analysis of relationships data โข Symbolic data analysis โข Regression trees โข Data mining and neural networks โข Pattern recognition โข Multivariate data analysis โข Robust data analysis โข Data science and sampling The IFCS (International Federation of Classification Societies) The IFCS promotes the dissemination of technical and scientific information data analysis, classification, related methods, and their applicaยญ concerning tions


CONTENT

Cluster Analysis -- Discrimination, Regression Trees, and Data Mining -- Multivariate and Multidimensional Data Analysis -- Data Science -- Symbolic Data Analysis


SUBJECT

  1. Statistics
  2. Data structures (Computer science)
  3. Economic theory
  4. Statistics
  5. Statistics
  6. general
  7. Economic Theory/Quantitative Economics/Mathematical Methods
  8. Statistics for Business/Economics/Mathematical Finance/Insurance
  9. Data Structures