Clustering Ambiguities: How Companies and Public Bodies Develop a Cluster.
Gunnar AnderssonFrode Ramstad JohansenSynnøve RubachPublished in: Int. J. Adv. Corp. Learn. (2019)
Keyphrases
- clustering algorithm
- data clustering
- hierarchical clustering
- cluster analysis
- k means
- clustering framework
- clustering method
- data points
- clustering approaches
- cluster centers
- overlapping clusters
- inter cluster
- unsupervised clustering
- clustering scheme
- similar objects
- supervised clustering
- disjoint clusters
- intra cluster
- cluster membership
- fuzzy clustering
- clustering procedure
- clustering result
- unsupervised learning
- data objects
- cluster validity
- evolutionary clustering
- rough k means
- document clustering
- fuzzy c means
- categorical data
- subspace clustering
- clustering quality
- model based clustering
- determined automatically
- information theoretic
- spectral clustering
- overlapping clustering
- density based clustering algorithm
- hierarchical agglomerative clustering
- cluster validation
- constrained clustering
- clustering ensemble
- hierarchical clustering algorithm
- neighborhood information
- density based clustering
- subspace clusters