-means Clustering of Affine Subspaces.
Eduard EibenFedor V. FominPetr A. GolovachWilliam LochetFahad PanolanKirill SimonovPublished in: SODA (2021)
Keyphrases
- high dimensional data
- data points
- clustering algorithm
- k means
- clustering method
- high dimensional
- dimensionality reduction
- unsupervised learning
- hierarchical clustering
- search engine
- data sets
- categorical data
- anomaly detection
- high dimensional data space
- clustering framework
- dissimilarity measure
- parameter space
- document clustering
- low dimensional
- neural network