A novel high-dimensional data dimension reduction algorithm based on ameliorated supportive vector machine.
Weiting YueQiaolian ShenPublished in: Int. J. Netw. Virtual Organisations (2017)
Keyphrases
- high dimensional data
- dimensional data
- intrinsic dimension
- nearest neighbor
- high dimension
- dimensionality reduction
- high dimensional
- high dimensions
- high dimensionality
- subspace clustering
- low dimensional
- data sets
- similarity search
- input space
- data points
- data analysis
- original data
- dimension reduction
- complex data
- high dimensional spaces
- clustering high dimensional data
- data distribution
- variable selection
- manifold learning
- linear discriminant analysis
- sparse representation
- high dimensional datasets
- lower dimensional
- high dimensional data sets
- feature space
- subspace learning
- locally linear embedding
- input data
- small sample size
- pattern recognition