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Liang et al., 2022 - Google Patents

Stability and generalization of kernel clustering: From single kernel to multiple kernel

Liang et al., 2022

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Document ID
18123989726197317095
Author
Liang W
Liu X
Liu Y
Huang J
Wang S
Liu J
Zhang Y
Zhu E
et al.
Publication year
Publication venue
Advances in Neural Information Processing Systems

External Links

Snippet

Multiple kernel clustering (MKC) is an important research topic that has been widely studied for decades. However, current methods still face two problems: inefficient when handling out- of-sample data points and lack of theoretical study of the stability and generalization of …
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    • G06K9/6232Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
    • G06K9/6247Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods based on an approximation criterion, e.g. principal component analysis
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