Principal Component Analysis
We apply the Principal Component Analysis on multi-dimensional data to reduce the dimensions while retaining maximal information by determining which features have maximum variance.
PCA p1 = new PCA(raw_signal, 1); // raw_signal of type double, output will be of 1 dimension
p1.fit();
double[][] output = p1.transform();
