Subspace Clustering of High-Dimensional Data: An Evolutionary Approach.
Singh VijendraLaxman SahooPublished in: Appl. Comput. Intell. Soft Comput. (2013)
Keyphrases
- principal component analysis
- clustering high dimensional data
- dimensionality reduction
- high dimensional
- high dimensional data
- linear subspace
- subspace learning
- subspace methods
- lower dimensional
- subspace clustering
- low dimensional
- kernel based nonlinear
- linear projection
- subspace clusters
- fitness function
- feature space
- feature extraction
- data mining
- neural network
- search algorithm
- image sequences
- search engine
- eigendecomposition
- artificial intelligence
- real time