Vector-Distance and Neighborhood Development for High Dimensional Data.
Ping LingXiangsheng RongXiangyang YouMing XuPublished in: J. Softw. (2012)
Keyphrases
- high dimensional data
- dimensionality reduction
- low dimensional
- high dimensional
- high dimensionality
- data points
- subspace clustering
- high dimensions
- nearest neighbor
- data sets
- similarity search
- dimension reduction
- data analysis
- spatial distance
- intrinsic dimension
- high dimensional data sets
- clustering high dimensional data
- manifold learning
- original data
- euclidean distance
- text data
- high dimensional spaces
- nonlinear dimensionality reduction
- linear discriminant analysis
- distance function
- dimensional data
- neighborhood graph
- computer vision
- input space
- lower dimensional
- locally linear embedding
- small sample size
- distance measure