Published May 16, 2019
| Version v1
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Single-Valued Neutrosophic Clustering Algorithm Based on Tsallis Entropy Maximization
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Description
Data clustering is an important field in pattern recognition and machine learning.
Fuzzy c-means is considered as a useful tool in data clustering. The neutrosophic set, which is an extension of the fuzzy set, has received extensive attention in solving many real-life problems of inaccuracy, incompleteness, inconsistency and uncertainty.