General Mathematics


Single Valued Neutrosophic Clustering Algorithm Based on Tsallis Entropy Maximization

Authors: Qiaoyan Li, Yingcang Ma, Shuangwu Zhu

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.

Comments: 12 Pages.

Download: PDF

Submission history

[v1] 2018-08-22 04:21:19

Unique-IP document downloads: 18 times is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus