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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Vydané v:	IEEE transactions on pattern analysis and machine intelligence Ročník 45; číslo 4; s. 5174 - 5186
Hlavný autor:	Liu, Xinwang
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 01.04.2023 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Predmet:	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
On-line prístup:	Získať plný text
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