An Adaptive Density-Sensitive Similarity Measure Based Spectral Clustering Algorithm and Its Parallelization

An Adaptive Density-Sensitive Similarity Measure Based Spectral Clustering Algorithm and Its Parallelization

The clustering effect of the spectral clustering algorithm depends on the calculation of the similarity between samples. Although a better clustering effect of the spectral clustering algorithm can be obtained using the Gaussian kernel function to calculate the similarity between samples, it relies...

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Bibliographic Details
Main Authors: Gen Zhang, Lanjun Wan, Kun Gong, Changyun Li, Mansheng Xiao
Format: Article
Language:English
Published: IEEE 2021-01-01
Series:IEEE Access
Subjects:
Dask
density-sensitive
parallelization
similarity
spectral clustering
Online Access:https://ieeexplore.ieee.org/document/9531632/

Internet

https://ieeexplore.ieee.org/document/9531632/

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