High Dimensional Clustering with r-nets.
Georgia AvarikiotiAlain RyserYuyi WangRoger WattenhoferPublished in: CoRR (2018)
Keyphrases
- high dimensional
- clustering algorithm
- high dimensionality
- data points
- high dimensional data
- clustering method
- k means
- high dimensional data sets
- hierarchical clustering
- unsupervised learning
- dimensionality reduction
- low dimensional
- self organizing maps
- data clustering
- multi dimensional
- categorical data
- feature space
- metric space
- spectral clustering
- search engine
- high dimensional datasets
- clustering analysis
- variable selection
- manifold learning
- parameter space
- dimension reduction
- nearest neighbor
- cluster analysis
- information theoretic
- distance metric
- outlier detection
- similarity search