A novel interval-valued data driven type-2 possibilistic local information c-means clustering for land cover classification

Chengmao Wu; Xiaokang Guo

doi:10.1016/j.ijar.2022.05.007

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A novel interval-valued data driven type-2 possibilistic local information c-means clustering for land cover classification

Chengmao Wu Xiaokang Guo

Year: 2022 Journal: International Journal of Approximate Reasoning Vol: 148 Pages: 80-116 Publisher: Elsevier BV

DOI: 10.1016/j.ijar.2022.05.007

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Keywords:

Cluster analysis Data mining Fuzzy clustering CURE data clustering algorithm Mathematics Correlation clustering Data stream clustering Pattern recognition (psychology) Weighting Computer science Fuzzy logic Artificial intelligence

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Remote-Sensing Image Classification

Physical Sciences → Engineering → Media Technology

Remote Sensing and Land Use

Physical Sciences → Earth and Planetary Sciences → Atmospheric Science

Rough Sets and Fuzzy Logic

Physical Sciences → Computer Science → Computational Theory and Mathematics

A novel interval-valued data driven type-2 possibilistic local information c-means clustering for land cover classification

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