A Principal Component Analysis Algorithm Based on Dimension Reduction Window
Dimensionality reduction is an essential preprocessing step for data mining. Principal component analysis (PCA) is the most classical method of reducing dimension and a variety of methods based on it are extended. However, all these methods require at least one transposition and quadrature operation...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
IEEE
2018-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/8488355/ |