Machine-learned cluster identification in high-dimensional data.
Alfred UltschJörn LötschPublished in: J. Biomed. Informatics (2017)
Keyphrases
- high dimensional data
- subspace clustering
- data points
- low dimensional
- nearest neighbor
- dimensionality reduction
- variable weighting
- data sets
- high dimensional
- high dimensions
- high dimensionality
- cluster structure
- similarity search
- dimension reduction
- clustering high dimensional data
- data analysis
- input space
- sparse representation
- original data
- data distribution
- subspace clusters
- lower dimensional
- manifold learning
- clustering algorithm
- dimensional data
- high dimensional data sets
- neural network
- high dimensional datasets
- high dimensional spaces
- variable selection
- gene expression data
- linear discriminant analysis
- particle swarm optimizer
- multi dimensional
- real world
- subspace learning
- data clustering
- k means