Approximate kernel k-means: solution to large scale kernel clustering.
Radha ChittaRong JinTimothy C. HavensAnil K. JainPublished in: KDD (2011)
Keyphrases
- k means
- kernel based clustering
- clustering algorithm
- kernel function
- clustering method
- kernel methods
- data clustering
- self organizing maps
- spectral clustering
- support vector
- normalized cut
- feature space
- hierarchical clustering
- exact solution
- similarity function
- squared euclidean distance
- hidden markov random fields
- kernel machines
- unsupervised clustering
- input space
- expectation maximization
- kernel pca
- data points
- class separability
- optimal solution
- clustering analysis
- unsupervised learning
- clustering approaches
- fuzzy k means
- pairwise
- data sets