Generalized PCA Method and Its Application in Uncertainty Reasoning
Principal Component Analysis (PCA) is an important mathematical dimension reduction method. In the process of uncertain reasoning, as the elements in the recognition framework increase, the evidence dimension increases exponentially, and the calculation amount also increases exponentially, which gre...
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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/8936879/ |
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