Ensemble dimension reduction based on spectral disturbance for subspace clustering.
Xiaoyun ChenQiaoping WangShanshan ZhuangPublished in: Knowl. Based Syst. (2021)
Keyphrases
- dimension reduction
- subspace clustering
- high dimensional data
- high dimensional
- high dimensionality
- low dimensional
- dimensionality reduction
- feature selection
- random projections
- subspace clusters
- data analysis
- linear discriminant analysis
- nearest neighbor
- data sets
- ensemble methods
- clustering method
- manifold learning
- neural network
- principal component analysis
- clustering algorithm
- similarity search
- data points
- training data
- cluster analysis
- hyperspectral imagery
- feature extraction
- text data
- linear subspace
- pairwise
- training set
- subspace projections
- feature subspace
- pattern recognition
- input data
- original data
- subspace learning
- high dimensional feature space
- feature vectors
- singular value decomposition
- knn
- unsupervised learning