General Mathematics

   

Single Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method

Authors: Yun Ye

Clustering plays an important role in data mining, pattern recognition, and machine learning. Then, single valued neutrosophic sets (SVNSs) are useful means to describe and handle indeterminate and inconsistent information, which fuzzy sets and intuitionistic fuzzy sets cannot describe and deal with.

Comments: 25 Pages.

Download: PDF

Submission history

[v1] 2015-12-04 08:20:22

Unique-IP document downloads: 153 times

Vixra.org 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. Vixra.org 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