Discriminative Embedded Clustering: A Framework for Grouping High-Dimensional Data.
Chenping HouFeiping NieDongyun YiDacheng TaoPublished in: IEEE Trans. Neural Networks Learn. Syst. (2015)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- high dimensional
- data points
- high dimensionality
- subspace clustering
- nearest neighbor
- high dimensions
- dimension reduction
- similarity search
- high dimensional datasets
- clustering high dimensional data
- data sets
- data analysis
- input space
- sparse representation
- manifold learning
- text data
- high dimensional data analysis
- linear discriminant analysis
- original data
- unsupervised learning
- high dimensional spaces
- feature extraction
- image processing
- computer vision
- clustering method
- distance measure
- lower dimensional
- subspace learning
- clustering algorithm
- high dimensional data sets