Global and Local Structure Preservation for Nonlinear High-dimensional Spectral Clustering

• Published in: Computer journal Vol. 64; no. 7; pp. 993 - 1004
• Main Authors: Wen, Guoqiu, Zhu, Yonghua, Chen, Linjun, Zhan, Mengmeng, Xie, Yangcai
• Format: Journal Article
• Language: English
• Published: Oxford University Press 24.08.2021
• Subjects: similarity matrix learning; nonlinear learning; dimensionality reduction; spectral clustering

Abstract Spectral clustering is widely applied in real applications, as it utilizes a graph matrix to consider the similarity relationship of subjects. The quality of graph structure is usually important to the robustness of the clustering task. However, existing spectral clustering methods consider...