Single-Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method

@article{Ye2014SingleValuedNM,
  title={Single-Valued Neutrosophic Minimum Spanning Tree and Its Clustering Method},
  author={Jun Ye},
  journal={J. Intelligent Systems},
  year={2014},
  volume={23},
  pages={311-324}
}
Abstract: Clustering plays an important role in data mining, pattern recognition, and machine learning. Then, single-valued neutrosophic sets (SVNSs) are a useful means to describe and handle indeterminate and inconsistent information, which fuzzy sets and intuitionistic fuzzy sets cannot describe and deal with. To cluster the data represented by single-value neutrosophic information, the article proposes a single-valued neutrosophic minimum spanning tree (SVNMST) clustering algorithm. Firstly… CONTINUE READING
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