An Adaptive Spectral Clustering Algorithm Based on the Importance of Shared Nearest Neighbors

An Adaptive Spectral Clustering Algorithm Based on the Importance of Shared Nearest Neighbors

The construction of a similarity matrix is one significant step for the spectral clustering algorithm; while the Gaussian kernel function is one of the most common measures for constructing the similarity matrix. However, with a fixed scaling parameter, the similarity between two data points is not...

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Bibliographic Details
Main Authors: Xiaoqi He, Sheng Zhang, Yangguang Liu
Format: Article
Language:English
Published: MDPI AG 2015-05-01
Series:Algorithms
Subjects:
spectral clustering
similarity measures
Gaussian kernel function
importance of nearest neighbors
Online Access:http://www.mdpi.com/1999-4893/8/2/177

Internet

http://www.mdpi.com/1999-4893/8/2/177

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