Affinity Learning Via Self-Supervised Diffusion for Spectral Clustering

Affinity Learning Via Self-Supervised Diffusion for Spectral Clustering

Spectral clustering makes use of the spectrum of an input affinity matrix to segment data into disjoint clusters. The performance of spectral clustering depends heavily on the quality of the affinity matrix. Commonly used affinity matrices are constructed by either the Gaussian kernel or the self-ex...

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Bibliographic Details
Main Authors: Jianfeng Ye, Qilin Li, Jinlong Yu, Xincheng Wang, Huaming Wang
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Affinity learning
diffusion process
spectral clustering
Online Access:https://ieeexplore.ieee.org/document/9293293/

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