An ensemble model approach for many-feature data clustering
by: Lê, Thị Cẩm Bình, et al.
Published: (2023)
A new ensemble approach for hyper-spectral image segmentation
The ensemble is an universal machine learning method that is based on the divide-and-conquer principle. In data clustering, ensemble aims to improve performance in terms of processing speed and clustering quality. Most existing ensemble methods become more difficult due to the inherent complexities...
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Main Authors: | Lê Thị Cẩm Bình, Phạm Văn Nhạ, Ngô Thành Long, Phạm Thế Long |
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Format: | Article |
Language: | English |
Published: |
2020
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Subjects: | |
Online Access: | https://dlic.huc.edu.vn/handle/HUC/4101 |
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