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Publication Detailed Description
Journal Title
Pattern Recognition Letters
Year (definitive publication)
2015
Language
English
Country
Netherlands
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Abstract
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.
Acknowledgements
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Keywords
Fuzzy clustering,Fuzzy partition,Partition coefficient,Divergence measures
Fields of Science and Technology Classification
- Computer and Information Sciences - Natural Sciences
Funding Records
| Funding Reference | Funding Entity |
|---|---|
| UID/GES/00315/2013 | Fundação para a Ciência e a Tecnologia |
