Unsupervised fuzzy clustering

Noureddine Zahid,O. Abouelala,Mohamed Limouri,Abderrahmane Essaid

Unsupervised fuzzy clustering

1999

Noureddine Zahid
O. Abouelala
Mohamed Limouri
Abderrahmane Essaid

Abstract In this paper, a new algorithm is proposed to carry out fuzzy clustering without making assumptions on initial guesses. The search for good clustering is made by a specific cluster-validity criterion. This tool has been tested on six data sets.

Keywords:

k-medians clustering
Pattern recognition
Artificial intelligence
Fuzzy clustering
Cluster analysis
Mathematics
Correlation clustering
Machine learning
FLAME clustering
CURE data clustering algorithm
Canopy clustering algorithm
Brown clustering
Data mining
Single-linkage clustering

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