๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

New experimental results in fuzzy clustering

โœ Scribed by Enrique H. Ruspini

Book ID
107766344
Publisher
Elsevier Science
Year
1973
Tongue
English
Weight
614 KB
Volume
6
Category
Article
ISSN
0020-0255

No coin nor oath required. For personal study only.

๐Ÿ“œ SIMILAR VOLUMES

Clustering web search results using fuzz
Clustering web search results using fuzzy ants
โœ Steven Schockaert; Martine De Cock; Chris Cornelis; Etienne E. Kerre ๐Ÿ“‚ Article ๐Ÿ“… 2007 ๐Ÿ› John Wiley and Sons ๐ŸŒ English โš– 237 KB

Algorithms for clustering Web search results have to be efficient and robust. Furthermore they must be able to cluster a data set without using any kind of a priori information, such as the required number of clusters. Clustering algorithms inspired by the behavior of real ants generally meet these

A new cluster-validity for fuzzy cluster
A new cluster-validity for fuzzy clustering
โœ N. Zahid; M. Limouri; A. Essaid ๐Ÿ“‚ Article ๐Ÿ“… 1999 ๐Ÿ› Elsevier Science ๐ŸŒ English โš– 136 KB

Fuzzy cluster-validity criterion tends to evaluate the quality of fuzzy c-partitions produced by fuzzy clustering algorithms. Many functions have been proposed. Some methods use only the properties of fuzzy membership degrees to evaluate partitions. Others techniques combine the properties of member