Improved Maximum Margin Clustering via the Bundle Method

Improved Maximum Margin Clustering via the Bundle Method

Maximum margin clustering (MMC) is an effective clustering algorithm, which first extends a large margin principle into unsupervised learning. This paper revisits the MMC problem and points out the potential problems encountered by a cutting plane approach. We propose an improved MMC algorithm via t...

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Bibliographic Details
Main Authors: Jianqiang Li, Jingchao Sun, Lu Liu, Bo Liu, Cao Xiao, Fei Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Bundle method
constrained convex-concave procedure
maximum margin clustering
unsupervised learning
semi-supervised learning
Online Access:https://ieeexplore.ieee.org/document/8713979/

Internet

https://ieeexplore.ieee.org/document/8713979/

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