On using genetic algorithm for initialising semi-supervised fuzzy c-means clustering

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On using genetic algorithm for initialising semi-supervised fuzzy c-means clustering

In a previous work, suitable initialisation techniques were incorporated with semi-supervised Fuzzy c-Means clustering (ssFCM) to improve clustering results on a trial and error basis. In this work, we present a single fully-automatic version of an existing semi-supervised Fuzzy c-means clustering f...

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Bibliographic Details
Main Authors:	Lai, Daphne Teck Ching, Garibaldi, Jonathan M.
Format:	Article
Published:	Springer 2016
Subjects:	semi-supervised genetic algorithms fuzzy clustering
Online Access:	https://eprints.nottingham.ac.uk/38397/

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