The Global Kernel k -Means Algorithm for Clustering in Feature Space.
Grigorios TzortzisAristidis LikasPublished in: IEEE Trans. Neural Networks (2009)
Keyphrases
- k means
- clustering method
- clustering algorithm
- feature space
- data clustering
- hierarchical clustering
- rough k means
- unsupervised clustering
- expectation maximization
- fuzzy k means
- cluster analysis
- learning algorithm
- cluster centers
- similarity function
- self organizing maps
- input space
- fuzzy c means
- spectral clustering
- probabilistic model
- clustering quality
- clustering approaches
- document clustering
- squared euclidean distance
- density estimation
- synthetic datasets
- feature extraction
- clustering result
- fuzzy clustering algorithm
- hierarchical agglomerative clustering