High-density cluster core-based k-means clustering with an unknown number of clusters.
Abhimanyu KumarAbhishek KumarRammohan MallipeddiDong-Gyu LeePublished in: Appl. Soft Comput. (2024)
Keyphrases
- high density
- clustering algorithm
- low density
- cluster analysis
- data clustering
- cluster validity
- hierarchical clustering
- hierarchical agglomerative clustering
- overlapping clusters
- unsupervised clustering
- homogeneous groups
- agglomerative hierarchical clustering
- high bandwidth
- constrained clustering
- clustering approaches
- arbitrary shape
- cluster centers
- spectral clustering
- data points
- query processing