Multiple Kernel Clustering With Neighbor-Kernel Subspace Segmentation.
Sihang ZhouXinwang LiuMiaomiao LiEn ZhuLi LiuChangwang ZhangJianping YinPublished in: IEEE Trans. Neural Networks Learn. Syst. (2020)
Keyphrases
- multiple kernel
- kernel methods
- multiple kernel learning
- linear combination
- support vector machine
- high dimensional data
- image segmentation
- clustering algorithm
- kernel learning
- multiple features
- clustering method
- kernel function
- optimal kernel
- k means
- feature space
- nearest neighbor
- distance metric learning
- principal components analysis
- distance metric
- data points
- dimensionality reduction
- high dimensional
- subspace learning
- kernel matrix
- machine learning
- unsupervised learning
- spectral clustering
- document clustering
- semi supervised
- data fusion
- data sets
- principal component analysis