Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets

Jie Zhou; Zhihui Lai; Can Gao; Duoqian Miao; Xiaodong Yue

doi:10.1016/j.knosys.2018.07.007

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Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets

Jie Zhou Zhihui Lai Can Gao Duoqian Miao Xiaodong Yue

Year: 2018 Journal: Knowledge-Based Systems Vol: 160 Pages: 144-166 Publisher: Elsevier BV

DOI: 10.1016/j.knosys.2018.07.007

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Keywords:

Cluster analysis Rough set Granularity Outlier Data mining Mathematics Granular computing Computer science Set (abstract data type) Fuzzy set Fuzzy logic Uncertain data Fuzzy clustering Algorithm Artificial intelligence

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Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

Data Management and Algorithms

Physical Sciences → Computer Science → Signal Processing

Text and Document Classification Technologies

Physical Sciences → Computer Science → Artificial Intelligence

Rough possibilistic C-means clustering based on multigranulation approximation regions and shadowed sets

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