Cluster-Aware Compression with Provable K-means Preservation.
Nikolaos M. FrerisMichail VlachosDeepak S. TuragaPublished in: SDM (2012)
Keyphrases
- k means
- clustering algorithm
- data clustering
- hierarchical clustering
- cluster analysis
- cluster centers
- constrained clustering
- unsupervised clustering
- rough k means
- clustering quality
- initial cluster centers
- clustering framework
- data compression
- clustering approaches
- agglomerative hierarchical clustering
- hierarchical agglomerative clustering
- clustering method
- variable weighting
- image compression
- clustering result
- cluster validity
- cluster structure
- compression algorithm
- cluster centroids
- semi supervised clustering
- neural network
- compression ratio
- fuzzy clustering
- spectral clustering
- digital objects
- compression scheme
- fuzzy c means
- clustering analysis
- self organizing maps
- expectation maximization
- fuzzy k means
- document clustering
- data sets
- computational complexity
- multiresolution
- data points
- image coding
- cluster ensemble
- normalized cut