Exploring high-dimensional data through locally enhanced projections.
Chufan LaiYing ZhaoXiaoru YuanPublished in: J. Vis. Lang. Comput. (2018)
Keyphrases
- high dimensional data
- nearest neighbor
- dimensionality reduction
- high dimensional
- low dimensional
- high dimensionality
- data points
- high dimensions
- input space
- similarity search
- dimension reduction
- subspace clustering
- data sets
- data analysis
- low rank
- complex data
- high dimensional spaces
- linear discriminant analysis
- high dimensional datasets
- data distribution
- original data
- missing values
- lower dimensional
- knn
- text data
- variable selection
- clustering high dimensional data
- neural network
- dimensional data
- decision trees
- input data
- sparse representation
- computer vision
- manifold learning
- data mining
- locally linear embedding
- real world
- nonlinear dimensionality reduction
- small sample size
- database