Constant approximation for k-median and k-means with outliers via iterative rounding.
Ravishankar KrishnaswamyShi LiSai SandeepPublished in: STOC (2018)
Keyphrases
- k means
- approximation algorithms
- constant factor approximation
- reweighted least squares
- linear programming
- clustering algorithm
- constant factor
- outlier detection
- closed form
- clustering method
- special case
- hierarchical clustering
- np hard
- unsupervised clustering
- approximation error
- linear programming relaxation
- data clustering
- missing data
- self organizing maps
- cluster analysis
- iterative methods
- approximation methods
- data sets
- median filter
- expectation maximization
- spectral clustering
- error bounds