A Sequential Sampling Framework for Spectral k-Means Based on Efficient Bootstrap Accuracy Estimations: Application to Distributed Clustering.
Dimitrios MavroeidisPanagis MagdalinosPublished in: ACM Trans. Knowl. Discov. Data (2012)
Keyphrases
- k means
- clustering method
- clustering algorithm
- hierarchical clustering
- clustering framework
- self organizing maps
- lightweight
- center based clustering
- spectral clustering
- document clustering
- distributed systems
- distributed learning
- high accuracy
- data clustering
- computational cost
- unsupervised clustering
- cluster ensemble
- multi agent
- unsupervised learning
- prediction accuracy
- cluster analysis
- data points
- normalized cut
- constrained clustering
- rough k means
- data sets