Please provide in depth details on PCA MATLAB function
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I have a Cancer and Benign Dataset that does not cluster using the peak value feature extracted from the signals as shown in the figure below.
But after performing the PCA both the groups are seperating out well. Could you please please provide the reason behind this on how does PCA function in matlab actually calculates the values.
I have gone through the PCA function but not getting more insight on how the correlated data gets sepearted using PCA
Neuropragmatist 2019 年 9 月 10 日
How many features do you give the PCA when you give it the dataset? Just the XY values you plotted in the first graph? Or do you also give it some other measurements? Do you give it the group identity (i.e the blue/orange colours)?
Maybe you could also show us the code you used to get the above result.