Innovations in Fuzzy Clustering Theory and Applications
There is a great interest in clustering techniques due to the vast amount of data generated in every field including business, health, science, engineering, aerospace, management and so on. It is essential to extract useful information from the data. Clustering techniques are widely used in pattern...
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Format: | eBook |
Language: | English |
Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2006, 2006
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Edition: | 1st ed. 2006 |
Series: | Studies in Fuzziness and Soft Computing
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Subjects: | |
Online Access: | |
Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- to Fuzzy Clustering
- Fuzzy Clustering based Principal Component Analysis
- Fuzzy Clustering based Regression Analysis
- Kernel based Fuzzy Clustering
- Evaluation of Fuzzy Clustering
- Self-Organized Fuzzy Clustering