A method of two-stage clustering with constraints using agglomerative hierarchical algorithm and one-pass k-means.
Nobuhiro ObaraSadaaki MiyamotoPublished in: SCIS&ISIS (2012)
Keyphrases
- k means
- clustering method
- agglomerative hierarchical
- clustering algorithm
- hierarchical clustering algorithm
- cluster analysis
- semi supervised clustering
- agglomerative hierarchical clustering
- hierarchical clustering
- initial cluster centers
- data clustering
- unsupervised clustering
- spectral clustering
- detection algorithm
- expectation maximization
- cluster centers
- constrained clustering
- clustering result
- fuzzy k means
- rough k means
- high efficiency
- probabilistic model
- similarity measure
- clustering quality
- bisecting k means
- distance metric
- em algorithm
- pairwise
- nonnegative matrix factorization
- similarity matrix
- parameter free
- machine learning
- arbitrary shape
- graph partitioning
- fuzzy c means
- background knowledge
- model based clustering
- distance function
- objective function
- data mining