A Fast canonical-correlation-based feature selection method
Project description
FastCan is a python implementation of the paper
- Zhang, S., & Lang, Z. Q. (2022).
Orthogonal least squares based fast feature selection for linear classification. Pattern Recognition, 123, 108419.
- Zhang, S., Wang, T., Sun L., Worden, K., & Cross, E. J. (2024).
Canonical-correlation-based fast feature selection for structural health monitoring.
Installation and Uninstallation
Install FastCan:
Run pip install fastcan
Uninstall FastCan:
Run pip uninstall fastcan
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