A hyperplane based indexing technique for high-dimensional data.
Guoren WangXiangmin ZhouBin WangBaiyou QiaoDonghong HanPublished in: Inf. Sci. (2007)
Keyphrases
- hyperplane
- high dimensional data
- indexing techniques
- similarity search
- data points
- input space
- high dimensional
- dimensionality reduction
- low dimensional
- nearest neighbor
- metric space
- high dimensionality
- feature space
- distance function
- data sets
- training samples
- support vector
- index structure
- high dimensional data sets
- locality sensitive hashing
- data distribution
- databases
- kernel function
- principal components
- euclidean distance
- data analysis
- support vector machine
- b tree
- low rank
- high dimensional spaces
- labeled data
- input data
- range queries
- vector space
- small sample size
- support vectors
- lower dimensional
- hash functions
- machine learning
- image processing
- indexing structure
- r tree
- high dimensional feature space
- svm classifier
- unlabeled data