Novel soft subspace clustering with multi-objective evolutionary approach for high-dimensional data.
Hu XiaJian ZhuangDehong YuPublished in: Pattern Recognit. (2013)
Keyphrases
- subspace clustering
- multi objective evolutionary
- high dimensional data
- hard constraints
- multi objective
- nearest neighbor
- dimensionality reduction
- soft constraints
- low dimensional
- high dimensional
- high dimensionality
- data points
- data sets
- clustering high dimensional data
- subspace clusters
- data analysis
- manifold learning
- similarity search
- constraint satisfaction
- constraint satisfaction problems
- graph cuts
- search space
- efficient computation
- linear discriminant analysis
- original data
- dimension reduction
- subspace clustering algorithms
- lower dimensional
- input space
- complex data
- input data
- data distribution
- high dimensional datasets
- high dimensional feature spaces
- text data
- subspace learning
- high dimensional spaces
- euclidean distance
- image processing
- decision trees
- data structure
- pattern recognition
- dimensional data
- training set
- database