A Novel Hybridization of Expectation-Maximization and K-Means Algorithms for Better Clustering Performance.
Duggirala Raja KishorN. B. VenkateswarluPublished in: Int. J. Ambient Comput. Intell. (2016)
Keyphrases
- k means
- expectation maximization
- data clustering
- clustering algorithm
- center based clustering
- agglomerative hierarchical clustering
- clustering approaches
- sufficient statistics
- cluster analysis
- hierarchical clustering
- significant improvement
- clustering quality
- learning algorithm
- data structure
- model based clustering
- spectral clustering
- clustering method
- em algorithm
- document clustering
- optimization problems
- data sets
- probabilistic model
- data mining techniques
- self organizing maps
- cluster structure
- computational complexity
- generative model
- fuzzy k means
- validity indices
- rough k means
- bisecting k means