Determining number of clusters and prototype locations via multi-scale clustering.
Eiji NakamuraNasser KehtarnavazPublished in: Pattern Recognit. Lett. (1998)
Keyphrases
- scale space
- multiscale
- clustering algorithm
- cluster validity
- hierarchical clustering
- small number
- k means
- document clustering
- unsupervised clustering
- fuzzy clustering
- self organizing maps
- edge detection
- unsupervised learning
- cluster centers
- density based clustering algorithm
- cluster analysis
- clustering method
- graph clustering
- data points
- consensus clustering
- bayesian information criterion
- clustering scheme
- incremental clustering
- cluster validation
- computational complexity