Skip to Main Content
ASME Press Select Proceedings

Intelligent Engineering Systems through Artificial Neural Networks

Editor
Cihan H. Dagli
Cihan H. Dagli
Search for other works by this author on:
K. Mark Bryden
K. Mark Bryden
Search for other works by this author on:
Steven M. Corns
Steven M. Corns
Search for other works by this author on:
Mitsuo Gen
Mitsuo Gen
Search for other works by this author on:
Kagan Tumer
Kagan Tumer
Search for other works by this author on:
Gürsel Süer
Gürsel Süer
Search for other works by this author on:
ISBN:
9780791802953
No. of Pages:
636
Publisher:
ASME Press
Publication date:
2009

This paper proposes a self-organized kernel fuzzy clustering method based on the idea of self-organized dissimilarity between two objects, while considering the degree of sharing of common properties of the pair of objects for the obtained fuzzy clusters. Moreover, we propose a method for evaluation of an adaptable number of clusters using an idea of measuring the degree of agreement between the target similarity data and the restored similarity which consists of the result of the self-organized kernel fuzzy clustering model.

Abstract
Introduction
Kernel Fuzzy Clustering Method
Self-Organizied Kernel Fuzzy Clustering Model
Evaluation for the Number of Clusters Based on Alignment of Similarities
Numerical Examples
Conclusion
References
You do not currently have access to this chapter.
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal