function [XwsSampleConcat, YSampleConcat] = GetXwsSampleConcat(X, Y, numSegments)

%GetXwsSampleConcat Creates a proper X and Y matrix suitable for the

%ensemble learning processes we had designed. (2 levels). 

%  Rearranges the raw Xws data so the segments are each listed one after

%  the other sample wise down the rows. To match it, an Y matrix is made

%  with the same values copied so the rows for each segmenetation match the

%  row it belongs to for labels. Probably should have made this into an

%  array of X matrixes (3d) but this worked. 

newWidth = size(X,2) / numSegments;

XwsSampleConcat = X(:,1:newWidth);

YSampleConcat = Y;

for i = 2:numSegments

    XwsSampleConcat = vertcat(XwsSampleConcat, X(:,(i-1)*newWidth+1:i*newWidth));

    YSampleConcat = vertcat(YSampleConcat, Y);

end

end