Subspace clustering with a learned dimensionality reduction projection.
Qiang ZhangZhenjiang MiaoPublished in: ICASSP (2016)
Keyphrases
- subspace clustering
- high dimensional data
- dimensionality reduction
- high dimensional
- high dimensionality
- linear projection
- low dimensional spaces
- low dimensional
- subspace clusters
- clustering high dimensional data
- principal component analysis
- pattern recognition
- latent space
- manifold learning
- nearest neighbor
- data points
- input space
- feature selection
- original data
- clustering method
- complex data
- random projections
- lower dimensional
- feature space
- subspace projection
- linear discriminant analysis
- data sets
- metric learning
- feature extraction
- higher dimensional
- high dimensional spaces
- subspace projections
- subgraph mining
- high dimensional feature spaces
- text data
- data analysis
- clustering approaches
- image data
- clustering algorithm
- microarray
- data mining