Subspace clustering for high dimensional data: a review.
Lance ParsonsEhtesham HaqueHuan LiuPublished in: SIGKDD Explor. (2004)
Keyphrases
- subspace clustering
- high dimensional data
- dimensionality reduction
- high dimensional
- low dimensional
- nearest neighbor
- clustering high dimensional data
- subspace clusters
- high dimensionality
- original data
- data sets
- input space
- dimension reduction
- data points
- data analysis
- complex data
- similarity search
- dimensional data
- data distribution
- clustering method
- linear discriminant analysis
- manifold learning
- input data
- lower dimensional
- clustering algorithm
- database
- training data
- high dimensional spaces
- high dimensional datasets
- text classification
- computer vision
- high dimensional feature spaces
- subspace projections
- neural network
- subspace clustering algorithms