A Method of Two-Stage Clustering with Constraints Using Agglomerative Hierarchical Algorithm and One-Pass k-Means++.
Yusuke TamuraNobuhiro ObaraSadaaki MiyamotoPublished in: KSE (2) (2013)
Keyphrases
- k means
- clustering method
- clustering algorithm
- agglomerative hierarchical
- agglomerative hierarchical clustering
- hierarchical clustering
- cluster analysis
- hierarchical clustering algorithm
- unsupervised clustering
- data clustering
- semi supervised clustering
- constrained clustering
- expectation maximization
- initial cluster centers
- fuzzy k means
- spectral clustering
- cluster centers
- fuzzy c means
- rough k means
- document clustering
- clustering result
- clustering quality
- learning algorithm
- model based clustering
- clustering ensemble
- high efficiency
- similarity matrix
- text clustering
- data mining
- em algorithm
- data points
- objective function
- parameter free
- negative matrix factorization
- categorical data
- distance metric
- detection algorithm
- unsupervised learning
- knowledge discovery
- similarity measure
- bisecting k means