PROCEEDINGS IPMU '08
A Validity Index for Fuzzy and Possibilistic C-means Algorithm
Chunhui Zhang, Yiming Zhou, Trevor Martin.
This paper proposes a novel validity
index for fuzzy-possibilistic c-means(FPCM) algorithm, it combines
extended partition entropy and
inter class similarity which is calculated
from the fuzzy set point of
view. The proposed index only requires
the membership matrix and
possibilistic(typicality) matrix, and
is free from heavy distance computing.
We also extend Xie-Beni index
and Kwon index to evaluate FPCM.
Experiments are done to compare
the three indices and the results
show its effectiveness.
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