Aggregating Tree for Searching in Billion Scale High Dimensional Data.
Shicong LiuJunru ShaoHongtao LuPublished in: ICDM Workshops (2016)
Keyphrases
- high dimensional data
- low dimensional
- nearest neighbor
- high dimensionality
- dimensionality reduction
- data sets
- subspace clustering
- high dimensional
- data analysis
- high dimensions
- dimension reduction
- data points
- similarity search
- tree structure
- index structure
- data distribution
- high dimensional data sets
- original data
- sparse representation
- linear discriminant analysis
- input space
- high dimensional datasets
- high dimensional spaces
- manifold learning
- nonlinear dimensionality reduction
- lower dimensional
- clustering high dimensional data
- variable selection
- input data
- text data
- small sample size
- subspace learning
- distance computation
- face recognition
- clustering algorithm