A fast and recursive algorithm for clustering large datasets with k-medians.
Hervé CardotPeggy CénacJean-Marie MonnezPublished in: Comput. Stat. Data Anal. (2012)
Keyphrases
- recursive algorithm
- hypothesis testing
- high dimensional datasets
- clustering method
- clustering approaches
- clustering algorithm
- synthetic and real datasets
- k means
- data mining tasks
- information theoretic
- synthetic datasets
- data points
- unsupervised learning
- high dimensional data
- outlier detection
- document clustering
- categorical data
- spectral clustering
- upper bound
- subspace clustering
- data clustering
- database
- cluster analysis
- benchmark datasets
- lower bound
- minimum mean square error