the Frobenius norm, > Which is matlab speak for sqrt(trace(dot(X.T, X)))
thanks for that one Chuck.. 1. i have seen similar normailzations in most image processing code..what exactly is the purpose of such normalization?before making images these values will have to be reprocessed to get the pixel values.being a beginner this question has been bugging me for a while.if anyone can explain it wd be great help 2.in this case,the java doc mentions that by the above steps ul is normalised to unit length (vector length) ,and that accumOperation(newul) should return 1, i tested it norm=sqrt(trace(dot(ul.T, ul))) newul=ul/norm testnorm=sqrt(trace(dot(newul.T, newul))) ====>1 can someone make clear the maths in it thanks W _______________________________________________ Numpy-discussion mailing list [email protected] http://projects.scipy.org/mailman/listinfo/numpy-discussion
