An effective clustering method based on data indeterminacy in neutrosophic set domain
Elyas Rashnoa · Behrouz Minaei-Bidgolia · Yanhui Guo
Infinite Study
Ebook
40
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About this ebook
In this work, a new clustering algorithm is proposed based on neutrosophic set (NS) theory. The main contribution is to use NS to handle boundary and outlier points as challenging points of clustering methods. In the first step, a new de nition of data indeterminacy (indeterminacy set) is proposed in NS domain based on density properties of data.
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