Putting Principal Component Analysis (PCA) to Work, with MATLAB Code
@predictor-lfVrRm
•
Oct 23, 2024
Oct 23, 2024
1.2K
Principal Components Analysis (PCA) is a powerful statistical technique which is not difficult to implement. Applications are described in data mining / pattern recognition, data compression and noise suppression.
See:
<a href="https://matlabdatamining.blogspot.com/2010/02/putting-pca-to-work.html" target="_blank" rel="nofollow noopener noreferrer">Data Mining in MATLAB: Putting PCA to Work</a>
-Will Dwinnell
<a href="https://matlabdatamining.blogspot.com/" target="_blank" rel="nofollow noopener noreferrer">Data Mining in MATLAB</a>
See:
<a href="https://matlabdatamining.blogspot.com/2010/02/putting-pca-to-work.html" target="_blank" rel="nofollow noopener noreferrer">Data Mining in MATLAB: Putting PCA to Work</a>
-Will Dwinnell
<a href="https://matlabdatamining.blogspot.com/" target="_blank" rel="nofollow noopener noreferrer">Data Mining in MATLAB</a>