Liang et al., 2022 - Google Patents
Stability and generalization of kernel clustering: From single kernel to multiple kernelLiang et al., 2022
View PDF- 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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- G06K9/6217—Design or setup of recognition systems and techniques; Extraction of features in feature space; Clustering techniques; Blind source separation
- G06K9/6232—Extracting features by transforming the feature space, e.g. multidimensional scaling; Mappings, e.g. subspace methods
- G06K9/6247—Extracting 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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