Resampling-Based Similarity Measures for High-Dimensional Data.
Dhammika AmaratungaJavier CabreraYung-Seop LeePublished in: J. Comput. Biol. (2015)
Keyphrases
- high dimensional data
- similarity measure
- nearest neighbor
- similarity search
- high dimensional
- dimensionality reduction
- low dimensional
- data sets
- high dimensionality
- high dimensions
- original data
- subspace clustering
- feature vectors
- euclidean distance
- data analysis
- data points
- dimension reduction
- complex data
- data distribution
- distance measure
- sparse representation
- manifold learning
- high dimensional spaces
- input space
- lower dimensional
- clustering high dimensional data
- high dimensional datasets
- nonlinear dimensionality reduction
- neural network
- distance function
- variable selection
- text data
- input data
- decision trees
- high dimensional data sets
- clustering method
- edit distance
- multi dimensional
- dimensional data
- locally linear embedding
- image processing
- high dimensional feature spaces