Distance metric learning for soft subspace clustering in composite kernel space.
Jun WangZhaohong DengKup-Sze ChoiYizhang JiangXiaoqing LuoFu-Lai ChungShitong WangPublished in: Pattern Recognit. (2016)
Keyphrases
- subspace clustering
- kernel space
- distance metric learning
- high dimensional
- metric learning
- distance metric
- feature space
- high dimensional data
- image classification
- semi supervised
- dimensionality reduction
- principal components
- clustering method
- hyperplane
- high dimensionality
- clustering algorithm
- data points
- low dimensional
- similarity search
- distance function
- maximum margin
- euclidean distance
- principal component analysis
- learning tasks
- distance measure
- pairwise constraints
- feature extraction
- training samples
- manifold learning
- input image
- component analysis
- machine learning