Distance-based methods
- Discovering tge grouping in a dataset based on the distances of data onjects
- Partitioning
- GIven k, find a partition of k clusters that optimizes the chosen distance-based objective function
- k-Means
- k-Means++
- k-Medoids
- Hierarchical
- generate a clustering hierachy, visualized as a dendrogram
- Agglomerative VS divisive
- Cluster distance measures
- BIRCH
- cluster features(CF) to summarize a cluster
- CF-tree to represent a cluster hierachy
반응형
'visualization > Information Visualization' 카테고리의 다른 글
| Clustering(1) (2) | 2024.12.16 |
|---|---|
| Classificaiton(2) (0) | 2024.12.16 |
| Classification(1) (0) | 2024.12.16 |