A spectral clustering method with semantic interpretation based on axiomatic fuzzy set theory

Yuangang Wang, Xiaodong Duan, Xiaodong Liu, Cunrui Wang, Zedong Li

Abstract: Highlights•Developing a feature selection method to obtain salient simple concepts.•Building fuzzy similarity measure based on AFS theory.•Applying spectral clustering to get the initial clustering results.•Achieving semantic descriptions of classes to adjust the final clustering results.•Proposed can explore the underlying knowledge implied in data.