High Dimensional Clustering with r-nets.
Georgia AvarikiotiAlain RyserYuyi WangRoger WattenhoferPublished in: AAAI (2019)
Keyphrases
- high dimensional
- data points
- high dimensionality
- high dimensional data
- clustering method
- clustering algorithm
- k means
- low dimensional
- neural network
- high dimensional datasets
- graph theoretic
- dimensionality reduction
- data sets
- hierarchical clustering
- high dimensional data sets
- sparse coding
- outlier detection
- similarity search
- unsupervised learning
- image segmentation
- information theoretic
- euclidean distance
- gene expression data
- document clustering
- data clustering
- noisy data
- subspace clustering
- nearest neighbor
- sparse data
- pairwise