Multiple Kernel Subspace Learning for Clustering and Classification.
Ziqiu ChiZhe WangBolu WangZhongli FangZonghai ZhuDongdong LiWenli DuPublished in: IEEE Trans. Knowl. Data Eng. (2023)
Keyphrases
- maximum margin criterion
- multiple kernel
- subspace learning
- support vector machine
- multiple kernel learning
- image classification
- unsupervised learning
- kernel learning
- distance metric learning
- kernel methods
- high dimensional data
- dimensionality reduction
- clustering algorithm
- pattern recognition
- k means
- data representation
- high dimensionality
- text classification
- linear combination
- decision trees
- support vector
- neural network
- feature extraction
- manifold learning
- sparse coding
- dimension reduction
- principal component analysis
- distance metric
- feature vectors
- support vector machine svm
- training samples
- data points
- svm classifier
- cluster analysis
- feature space
- sparse representation
- clustering method
- multiscale
- multiple features
- data sets
- feature selection
- machine learning
- data mining