摘要 : Clustering plays an important role in data mining, pattern recognition, and machine learning. Single-valued neutrosophic sets (SVNSs) are useful means to describe and handle indeterminate and inconsistent information that fuzzy se... 展开
作者 | Jun Ye |
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作者单位 | |
期刊名称 | 《Journal of Intelligent Systems》 |
总页数 | 11 |
语种/中图分类号 | 英语 / TP27 |
关键词 | Neutrosophic set Single-valued neutrosophic set Clustering algorithm Distance measure Similarity measure |
馆藏号 | N2008EPST0003601 |