Combination of difference subspace and Oppurtunistic Clustering on High dimensional Data.
M. RavichandranA. ShanmugamPublished in: J. Comput. Sci. (2014)
Keyphrases
- high dimensional data
- subspace clustering
- low dimensional
- dimensionality reduction
- clustering high dimensional data
- high dimensionality
- data points
- nearest neighbor
- high dimensional
- data sets
- lower dimensional
- dimension reduction
- original data
- high dimensional data sets
- similarity search
- high dimensions
- sparse representation
- low rank
- manifold learning
- subspace learning
- dimensional data
- high dimensional datasets
- subspace clusters
- text data
- small sample size
- feature space
- input space
- data analysis
- nonlinear dimensionality reduction
- high dimensional spaces
- clustering algorithm
- computer vision
- principal component analysis
- subspace clustering algorithms
- database
- pairwise
- linear discriminant analysis
- k means
- feature selection
- high dimensional feature spaces