Geodesic distance based fuzzy c-medoid clustering – searching for central points in graphs and high dimensional data-Reference-Cited by-同舟云学术

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Geodesic distance based fuzzy c-medoid clustering – searching for central points in graphs and high dimensional data

Published:2016-03 Issue: Volume:286 Page:157-172
ISSN:0165-0114
Container-title:Fuzzy Sets and Systems
language:en
Short-container-title:Fuzzy Sets and Systems

Author:

Király András,Vathy-Fogarassy Ágnes,Abonyi János

Funder

European Commission

Publisher

Elsevier BV

Subject

Artificial Intelligence,Logic

Reference40 articles.

1. Some methods for classification and analysis of multivariate observations;MacQueen,1967

2. Clustering by means of medoids;Kaufman,1987

3. FCM: the fuzzy c-means clustering algorithm;Bezdek;Comput. Geosci.,1984

4. Fuzzy clustering with fuzzy covariance matrix;Gustafson,1979

5. Unsupervised optimal fuzzy clustering;Gath;IEEE Trans. Pattern Anal. Mach. Intell.,1989

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