A rough set based subspace clustering technique for high dimensional data.
B. Jaya LakshmiM. ShashiK. B. MadhuriPublished in: J. King Saud Univ. Comput. Inf. Sci. (2020)
Keyphrases
- subspace clustering
- high dimensional data
- dimensionality reduction
- subspace clusters
- nearest neighbor
- high dimensional
- high dimensionality
- data sets
- clustering high dimensional data
- low dimensional
- data points
- data distribution
- similarity search
- data analysis
- high dimensional feature spaces
- linear discriminant analysis
- original data
- dimension reduction
- input space
- complex data
- high dimensional spaces
- text data
- input data
- dimensional data
- manifold learning
- lower dimensional
- subspace learning
- high dimensional datasets
- pattern recognition
- subspace clustering algorithms
- neural network