Dynamic and Static Enhanced BIRCH for Functional Data Clustering
Accurate and efficient clustering of large-scale functional data is of utmost importance in the era of big data. However, the current research falls short in fully considering the differentiability inherent in functional data. To tackle this significant challenge, we propose a novel method, namely D...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
IEEE
2023-01-01
|
| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10274088/ |