Improved Boundary Support Vector Clustering with Self-Adaption Support

Improved Boundary Support Vector Clustering with Self-Adaption Support

Concerning the good description of arbitrarily shaped clusters, collecting accurate support vectors (SVs) is critical yet resource-consuming for support vector clustering (SVC). Even though SVs can be extracted from the boundaries for efficiency, boundary patterns with too much noise and inappropria...

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Bibliographic Details
Main Authors: Huina Li, Yuan Ping, Bin Hao, Chun Guo, Yujian Liu
Format: Article
Language:English
Published: MDPI AG 2022-06-01
Series:Electronics
Subjects:
support vector clustering
cluster boundary
edge selection
parameter adaption
convex decomposition
Online Access:https://www.mdpi.com/2079-9292/11/12/1854

Internet

https://www.mdpi.com/2079-9292/11/12/1854

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