Semi-supervised spectral clustering using shared nearest neighbor for data with different shape and density

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Semi-supervised spectral clustering using shared nearest neighbor for data with different shape and density

In the absence of supervisory information in spectral clustering algorithms, it is difficult to construct suitable similarity graphs for data with complex shapes and varying densities. To address this issue, this paper proposes a semi-supervised spectral clustering algorithm based on shared nearest...

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Bibliographic Details
Published in:	IAES International Journal of Artificial Intelligence
Main Author:	Yousheng G.; Rahim S.K.N.A.; Hamzah R.; Ang L.; Aminuddin R.
Format:	Article
Language:	English
Published:	Institute of Advanced Engineering and Science 2024
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85192725606&doi=10.11591%2fijai.v13.i2.pp2283-2290&partnerID=40&md5=d210ca5eb68609a3d57c0e6a63b6d159

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