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                                       Details for article 14 of 18 found articles
 
 
  On the asymptotic properties of fuzzy c-means cluster prototypes as estimators of mixture subpopulation centers
 
 
Title: On the asymptotic properties of fuzzy c-means cluster prototypes as estimators of mixture subpopulation centers
Author: Hathaway, Richard J.
Bezdek, James C.
Appeared in: Communications in statistics
Paging: Volume 15 (1986) nr. 2 pages 505-513
Year: 1986
Contents: Several computational studies suggest that the fuzzy c-means (FCM) clustering scheme may be used successfully in some cases to obtain estimates for the parameters of a statistical mixture (e.g., for a mixture of normal distributions). While these (limited) simulation results for the fuzzy c-means approach support this hypothesis, we provide herein an example that shows that the FCM cluster prototypes cannot generally be statistically consistent estimators of the centers (means) of any univariate mixture having symmetric component distributions
Publisher: Taylor & Francis
Source file: Elektronische Wetenschappelijke Tijdschriften
 
 

                             Details for article 14 of 18 found articles
 
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