Consensus function based on cluster-wise two level clustering.
Mohammad Reza MahmoudiHamidreza AkbarzadehHamid ParvinSamad NejatianVahideh RezaieHamid Alinejad-RoknyPublished in: Artif. Intell. Rev. (2021)
Keyphrases
- clustering algorithm
- data clustering
- hierarchical clustering
- cluster analysis
- cluster ensemble
- overlapping clusters
- consensus clustering
- k means
- data points
- clustering framework
- clustering method
- inter cluster
- constrained clustering
- cluster membership
- clustering ensemble
- intra cluster
- clustering approaches
- clustering scheme
- categorical data
- unsupervised clustering
- disjoint clusters
- cluster structure
- clustering procedure
- validity measures
- unsupervised learning
- clustering analysis
- clustering quality
- instance level constraints
- cluster validation
- cluster centers
- subspace clustering
- supervised clustering
- cluster validity
- density based clustering
- agglomerative hierarchical clustering
- evolutionary clustering
- image segmentation
- hierarchical agglomerative clustering
- pairwise
- cluster labels
- homogeneous groups
- model based clustering
- spectral clustering
- hierarchical clustering algorithm
- rough k means
- overlapping clustering
- text clustering
- data sets
- high dimensional
- neighborhood information
- outlier detection
- data objects
- density function
- clustering result