Dear all, I want to use Self-Organising Map (SOM) [unsupervised machine learning] for my anomaly detection problem. But before that I would like to find suitable input features that cause the best results. I have total of eight input features. Would you use Principle Component Analysis (PCA) to find best features? What would you do? Regards, Naghmeh
MATLAB: Self-Organising Map (SOM) with Principle Component Analysis (PCA)
principle component analysis (pca)self-organising map (som)
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