Approximate Nearest Neighbor Search on High Dimensional Data - Experiments, Analyses, and Improvement (v1.0).
Wen LiYing ZhangYifang SunWei WangWenjie ZhangXuemin LinPublished in: CoRR (2016)
Keyphrases
- high dimensional data
- approximate nearest neighbor search
- nearest neighbor
- similarity search
- nearest neighbor search
- kd tree
- high dimensionality
- dimensionality reduction
- k nearest neighbor
- knn
- subspace clustering
- high dimensional
- data points
- low dimensional
- locality sensitive hashing
- distance function
- metric space
- high dimensional spaces
- data sets
- hash functions
- data analysis
- data distribution
- neural network
- clustering high dimensional data
- training set
- machine learning
- input data
- databases
- detection algorithm
- principal component analysis
- dimensional data
- similarity measure
- learning algorithm