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On the use of divergence distance in fuzzy clustering
Mourad Oussalah, S Nefti
Electronic, Electrical and Systems Engineering
Research output
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Contribution to journal
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Article
6
Citations (Scopus)
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Dive into the research topics of 'On the use of divergence distance in fuzzy clustering'. Together they form a unique fingerprint.
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Mathematics
Fuzzy Clustering
100%
Divergence
60%
Fuzzy C-means
55%
Clustering Algorithm
45%
Clustering
32%
Objective function
28%
Fuzzy Algorithm
27%
Iris
27%
Optimization Problem
24%
K-means
23%
Feature Space
23%
Object
23%
Fuzzy Function
21%
Gaussian Function
21%
Membership Function
19%
Pattern Recognition
19%
Divides
16%
Fuzzy Sets
15%
Class
15%
Optimal Solution
14%
Optimization
13%
Existence and Uniqueness
12%
Computing
10%
Performance
10%
Standards
9%
Term
9%
Engineering & Materials Science
Fuzzy clustering
78%
Clustering algorithms
31%
Fuzzy sets
18%
Membership functions
17%
Pattern recognition
15%
Set theory
11%