Performance of Johnson-Lindenstrauss Transform for k-Means and k-Medians Clustering.
Konstantin MakarychevYury MakarychevIlya P. RazenshteynPublished in: CoRR (2018)
Keyphrases
- k means
- clustering algorithm
- clustering method
- johnson lindenstrauss
- data clustering
- cluster analysis
- spectral clustering
- self organizing maps
- fuzzy k means
- unsupervised clustering
- rough k means
- hierarchical clustering
- cluster centers
- clustering framework
- constrained clustering
- agglomerative hierarchical clustering
- document clustering
- genetic k means algorithm
- clustering analysis
- expectation maximization
- text clustering
- fuzzy c means
- clustering quality
- center based clustering
- cluster ensemble
- clustering result
- hierarchical agglomerative
- hierarchical agglomerative clustering
- initial cluster centers
- neural network
- face recognition
- pairwise
- nearest neighbor
- fuzzy clustering algorithm
- anomaly detection
- microarray
- clustering approaches
- semi supervised clustering