Cross-Dataset Representation Learning for Unsupervised Deep Clustering in Human Activity Recognition
This study introduces a novel representation learning method to enhance unsupervised deep clustering in Human Activity Recognition (HAR). Traditional unsupervised deep clustering methods often struggle to extract effective feature representations from unlabeled data, failing to fully capture the tru...
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| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2025-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10971938/ |
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