Distributed Kernel K-Means for Large Scale Clustering.
Marco Jacopo FerrarottiSergio DecherchiWalter RocchiaPublished in: CoRR (2017)
Keyphrases
- k means
- kernel based clustering
- clustering algorithm
- clustering method
- data clustering
- kernel methods
- spectral clustering
- hierarchical clustering
- kernel function
- cluster analysis
- fuzzy k means
- unsupervised clustering
- document clustering
- self organizing maps
- clustering result
- rough k means
- fuzzy c means
- data intensive
- multi agent
- distributed systems
- kohonen self organizing maps
- cooperative
- constrained clustering
- clustering framework
- clustering approaches
- normalized cut
- clustering quality
- cluster centers
- distributed environment
- mobile agents
- categorical data
- hierarchical agglomerative clustering
- support vector
- squared euclidean distance
- outlier detection
- classical clustering algorithms
- real world
- variable weighting
- validity indices
- hidden markov random fields
- data points
- semi supervised clustering
- distance function