SimpleMKKM: Simple Multiple Kernel K-Means

We propose a simple yet effective multiple kernel clustering algorithm, termed simple multiple kernel k-means (SimpleMKKM). It extends the widely used supervised kernel alignment criterion to multi-kernel clustering. Our criterion is given by an intractable minimization-maximization problem in the k...

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Bibliographic Details
Published in:	IEEE transactions on pattern analysis and machine intelligence Vol. 45; no. 4; pp. 5174 - 5186
Main Author:	Liu, Xinwang
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.04.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	Ablation Algorithms Clustering Clustering algorithms Criteria Kernel kernel alignment maximization Kernels Linear programming Matrix partitioning Maximization Minimization Multi-view clustering multiple kernel clustering Optimization Partitioning algorithms Source code Task analysis
ISSN:	0162-8828, 1939-3539, 2160-9292, 1939-3539
Online Access:	Get full text
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