An evolutionary subspace clustering algorithm for high-dimensional data.
Seyednaser NourashrafeddinDirk V. ArnoldEvangelos E. MiliosPublished in: GECCO (Companion) (2012)
Keyphrases
- high dimensional data
- subspace clustering
- clustering algorithm
- low dimensional
- dimensionality reduction
- clustering high dimensional data
- nearest neighbor
- high dimensional
- high dimensions
- data sets
- data analysis
- subspace clusters
- data points
- similarity search
- original data
- lower dimensional
- high dimensionality
- dimension reduction
- clustering method
- high dimensional spaces
- k means
- low rank
- fuzzy c means
- dense regions
- input space
- input data
- subspace learning
- high dimensional data sets
- sparse representation
- high dimensional datasets
- principal component analysis
- linear discriminant analysis
- nonlinear dimensionality reduction
- dimensional data
- feature extraction
- image processing
- computer vision