Basic bounds on cluster error using distortion-rate
Clustering is a popular type of unsupervised learning technique that performs natural groupings on samples to generate probably approximately correct groups. These clusters or groups are expected to have high intra-similarity and high inter-distinctiveness. Practical clustering problems may combine...
| Main Author: | |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2021-12-01
|
| Series: | Machine Learning with Applications |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2666827021000803 |