Unsupervised Linear Discriminant Analysis for Jointly Clustering and Subspace Learning.
Fei WangQuan WangFeiping NieZhongheng LiWeizhong YuRong WangPublished in: IEEE Trans. Knowl. Data Eng. (2021)
Keyphrases
- subspace learning
- linear discriminant analysis
- dimensionality reduction
- unsupervised learning
- high dimensional data
- fisher criterion
- principal component analysis
- face recognition
- discriminant analysis
- data points
- unsupervised feature selection
- high dimensionality
- subspace analysis
- dimension reduction
- low dimensional
- manifold learning
- cluster analysis
- linear discriminant
- semi supervised
- data representation
- pattern recognition
- clustering algorithm
- high dimensional
- linear subspace
- feature extraction
- subspace clustering
- locality preserving projections
- sparse representation
- feature selection
- clustering method
- k means
- singular value decomposition
- data sets
- support vector
- dimensionality reduction methods
- distance metric
- spectral clustering
- feature space
- null space
- covariance matrix
- sparse coding
- subspace methods
- training set
- nearest neighbor
- supervised learning
- decision trees
- neural network