Clustering with Spectral Norm and the k-Means Algorithm.
Amit KumarRavindran KannanPublished in: FOCS (2010)
Keyphrases
- k means
- clustering method
- clustering algorithm
- data clustering
- hierarchical clustering
- fuzzy k means
- preprocessing
- dynamic programming
- rough k means
- unsupervised clustering
- cluster analysis
- expectation maximization
- search space
- np hard
- self organizing maps
- clustering analysis
- spectral clustering
- optimal solution
- learning algorithm
- detection algorithm
- objective function
- cluster centers
- neural network
- synthetic and real datasets
- clustering quality
- fuzzy clustering
- document clustering
- subspace clustering
- computational complexity
- feature space
- high dimensional
- particle swarm optimization
- clustering ensemble
- hierarchical clustering algorithm
- fuzzy clustering algorithm
- input data
- probabilistic model