Supervised fuzzy clustering for rule extraction

The paper is concerned with the application of orthogonal transforms and fuzzy clustering to the extraction of fuzzy rules from data. It is proposed to use the orthogonal least squares method to supervise the progress of the fuzzy clustering algorithm and remove clusters of less importance with resp...

Ausführliche Beschreibung

Bibliographische Detailangaben

1. Verfasser:	Setnes, M.
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Approximation algorithms Clustering algorithms Data mining Fuzzy systems Humans Laboratories Linear regression Partitioning algorithms Space technology State-space methods
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