Single-Valued Neutrosophic Clustering Algorithm Based on Tsallis Entropy Maximization
Qiaoyan Li, Yingcang Ma, Florentín Smarandache, Shuangwu Zhu · Zenodo (CERN European Organization for Nuclear Research) · 2019
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.