A new perspective of modified partition coefficient

We begin by showing that the modified partition coefficient (MPC) is an average Euclidean distance between membership degrees and the centre of the fuzzy c-partition. Subsequently, we construct alternative MPCs using several other measures of dissimilarity and examine how differently they perform wh...

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Bibliographic Details
Main Author: Suleman, A. (author)
Format: article
Language:eng
Published: 2016
Subjects:
Online Access:http://hdl.handle.net/10071/10584
Country:Portugal
Oai:oai:repositorio.iscte-iul.pt:10071/10584
Description
Summary:We begin by showing that the modified partition coefficient (MPC) is an average Euclidean distance between membership degrees and the centre of the fuzzy c-partition. Subsequently, we construct alternative MPCs using several other measures of dissimilarity and examine how differently they perform when compared with the original proposal. Empirical evidence shows that the MPC based on a Chernoff's measure of divergence is more robust to the initial conditions of the fuzzy c-means algorithm.