A new clustering validity index for arbitrary shape of clusters.
Soo-Hyun LeeYoung-Seon JeongJae-Yun KimMyong K. JeongPublished in: Pattern Recognit. Lett. (2018)
Keyphrases
- arbitrary shape
- validity index
- clustering algorithm
- density based clustering
- validity indices
- fuzzy clustering
- clustering result
- clustering validity
- inter cluster
- arbitrary shaped
- hierarchical clustering algorithm
- high efficiency
- k means
- davies bouldin
- fuzzy c means
- density distribution
- data clustering
- document clustering
- cluster analysis
- clustering method
- hierarchical clustering
- cluster centers
- clustering framework
- clustering quality
- computer vision
- point sets
- feature vectors
- image processing