Large-Scale High-Dimensional Clustering with Fast Sketching.
Antoine ChatalicRémi GribonvalNicolas KerivenPublished in: ICASSP (2018)
Keyphrases
- high dimensional
- data points
- clustering algorithm
- high dimensional data
- high dimensional data sets
- high dimensionality
- k means
- clustering method
- nearest neighbor
- multi dimensional
- low dimensional
- sparse data
- real life
- small scale
- hierarchical clustering
- feature space
- dimensionality reduction
- spectral clustering
- real world
- dimension reduction
- outlier detection
- cluster analysis
- document clustering
- graph theoretic
- learning algorithm
- high dimensional datasets
- data mining
- sparse coding
- data clustering
- similarity search
- search engine
- unsupervised learning
- training set