Hybridization of Expectation-Maximization and K-Means Algorithms for Better Clustering Performance.
Duggirala Raja KishorN. B. VenkateswarluPublished in: CoRR (2016)
Keyphrases
- k means
- expectation maximization
- data clustering
- center based clustering
- clustering method
- hierarchical clustering
- em algorithm
- clustering algorithm
- learning algorithm
- computational cost
- clustering approaches
- agglomerative hierarchical clustering
- sufficient statistics
- spectral clustering
- self organizing maps
- clustering quality
- hybrid algorithm
- data sets
- mixture model
- computational complexity
- optimization problems
- bisecting k means
- single link
- cluster analysis
- cluster centers
- evolutionary algorithm
- unsupervised learning
- generative model
- data points
- significant improvement