Wasserstein Metric Based Adaptive Fuzzy Clustering Methods for Symbolic Interval Data
The aim of this paper is to present new wasserstein metric based adaptive fuzzy clustering methods for partitioning symbolic interval data. In two methods, fuzzy partitions and prototypes for clusters are determined by optimizing adequacy criteria based on wasserstein distances between vectors of in...
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| Format: | EJournal Article |
| Wydane: |
Institute of Advanced Engineering and Science,
2014-02-01.
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| Dostęp online: | Get fulltext |
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A1234.567 |
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| Egzemplarz 1 | Dostępne |