Single-Valued Neutrosophic Clustering Algorithm Based on Tsallis Entropy Maximization

• Published in: Axioms Vol. 7; no. 3; p. 57
• Main Authors: Li, Qiaoyan, Ma, Yingcang, Smarandache, Florentin, Zhu, Shuangwu
• Format: Journal Article
• Language: English
• Published: Basel MDPI AG 01.09.2018
• Subjects: Algorithms; Clustering; Data compression; Decision support systems; Entropy; fuzzy c-means; Fuzzy sets; Image processing; Image segmentation; Lagrange multiplier; Machine learning; Methods; Optimization; Pattern recognition; picture fuzzy clustering; Similarity measures; single-valued neutrosophic set; Tsallis entropy; United States > US; China

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, incompl...