Compression Techniques Based on Concave Cluster Geometries for Efficient High-Dimensional Nearest Neighbor Retrieval.
Sören BalkoPublished in: EDBT Workshops (2002)
Keyphrases
- nearest neighbor
- high dimensional
- data points
- nearest neighbor search
- approximate nearest neighbor
- k nearest neighbor
- high dimensional spaces
- low dimensional
- high dimensional data
- clustering algorithm
- similarity measure
- information retrieval
- document retrieval
- knn
- index structure
- objective function
- high dimensionality
- similarity search
- relevance feedback
- training set
- image database
- image compression
- information retrieval systems
- data clustering
- compression scheme
- piecewise linear
- multi dimensional
- dimensionality reduction