Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data.
Assaf GlazerMichael LindenbaumShaul MarkovitchPublished in: NIPS (2012)
Keyphrases
- high dimensional data
- high density
- kolmogorov smirnov
- dimensionality reduction
- data sets
- high dimensional
- learning algorithm
- nearest neighbor
- low dimensional
- supervised learning
- similarity search
- data analysis
- computer vision
- active learning
- clustering high dimensional data
- training data
- data mining
- cost effective
- user satisfaction
- subspace clustering
- databases
- database