Classification, Clustering and Data Analysis

Bys: Jajuga, K. and Bock, H. -H.

The book presents a long list of useful methods for classification, clustering and data analysis. By combining theoretical aspects with practical problems, it is designed for researchers as well as for applied statisticians and will support the fast transfer of new methodological advances to a wide range of applications.

• Format: Paperback
• Language: English
• ISBN: 354043691X
• ISBN13: 9783540436911
• Release Date: June 2002
• Publisher: Springer
• Length: 508 Pages
• Weight: 1.52 lbs.
• Dimensions: 1.1" x 6.2" x 9.2"

Customer Reviews

Understand clusters and clustering deeply

This is a good and broad approach about cluster and clustering. It is better for those who want to understand deeply the theme. Is has lot of formulas and mathmatics.

different methods for finding clusters

The book has a nice treatment of the problem of finding, in some sense, clusters in data. Several papers point out that there is often some subjectivity here, as to which data sits in a particular cluster. Fuzziness in the boundary of a cluster. It can depend on what your underlying model is. Possibly of interest to some is work on high dimensionality data, and trying to find clusters in these. Even visualisations might be non-trivial. The book has value in letting you see a variety of ideas for finding clusters. Perhaps some of these might prove germane to your research.