On Linear Clustering with Constraints on Cluster Size.
Naoya KimotoYasunori EndoPublished in: SCIS&ISIS (2018)
Keyphrases
- clustering algorithm
- constrained clustering
- data clustering
- semi supervised clustering
- instance level constraints
- k means
- hierarchical clustering
- cluster analysis
- linear constraints
- clustering method
- unsupervised clustering
- overlapping clusters
- spectral clustering
- pair wise constraints
- clustering procedure
- inter cluster
- clustering framework
- validity measures
- intra cluster
- semi supervised
- clustering approaches
- supervised clustering
- disjoint clusters
- clustering analysis
- data points
- clustering scheme
- linear inequalities
- clustering result
- pairwise constraints
- constraint satisfaction
- cluster centers
- cluster structure
- agglomerative hierarchical clustering
- density based clustering
- hierarchical agglomerative clustering
- cluster membership
- model based clustering
- pairwise
- clustering quality
- high dimensional
- self organizing maps
- image segmentation
- overlapping clustering
- homogeneous groups
- rough k means
- similar objects
- information theoretic
- equality constraints
- document clustering
- pairwise similarities
- hierarchical clustering algorithm
- linear functions
- content similarity
- arbitrary shape
- determined automatically
- consensus clustering
- data objects
- validity index
- similarity measure
- categorical data
- graph partitioning