Single Valued Neutrosophic Clustering Algorithm Based On Tsallis Entropy Maximization

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Single valued Neutrosophic clustering algorithm Based on Tsallis Entropy Maximization

Single valued Neutrosophic clustering algorithm Based on Tsallis Entropy Maximization
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Publisher : Infinite Study
Total Pages : 12
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Book Synopsis Single valued Neutrosophic clustering algorithm Based on Tsallis Entropy Maximization by : Qiaoyan Li

Download or read book Single valued Neutrosophic clustering algorithm Based on Tsallis Entropy Maximization written by Qiaoyan Li and published by Infinite Study. This book was released on with total page 12 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data clustering is an important field in pattern recognition and machine learning. Fuzzy c-means is considered as a useful tool in data clustering. Neutrosophic set, which is extension of fuzzy set, has received extensive attention in solving many real life problems of uncertainty, inaccuracy, incompleteness, inconsistency and uncertainty.


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Data clustering is an important field in pattern recognition and machine learning. Fuzzy c-means is considered as a useful tool in data clustering. Neutrosophic
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