Hashing-based clustering in high dimensional data.
Juan ZamoraMarcelo MendozaHéctor AllendePublished in: Expert Syst. Appl. (2016)
Keyphrases
- high dimensional data
- similarity search
- dimensionality reduction
- high dimensionality
- subspace clustering
- low dimensional
- high dimensional
- data points
- nearest neighbor
- clustering high dimensional data
- high dimensions
- data analysis
- data sets
- high dimensional data sets
- linear discriminant analysis
- original data
- high dimensional spaces
- sparse representation
- data distribution
- dimension reduction
- dimensional data
- random projections
- high dimensional datasets
- lower dimensional
- nonlinear dimensionality reduction
- clustering algorithm
- hash functions
- manifold learning
- nearest neighbor search
- input space
- variable weighting
- hamming space
- text data
- distance function
- input data
- k means
- real world
- high dimensional feature spaces