Hi guys, I have a difficult problem to solve. I have a list with 4 columns of values as follow 750.633 379.039 652.524 1112.63 930.491 452.16 842.753 1191.78 882.063 446.411 787.56 1183.43 434.362 410.174 325.863 1145.34 954.426 445.297 865.449 1183.74 1233.67 194.909 1155.27 908.305 1505.97 917.95 1441.07 1698.01 852.882 133.219…
The funny thing is that this completely destroys the distribution of the data making it look uniformly distributed, when it actually is not as minimum distance between data points is maximized.
The funny thing is that this completely destroys the distribution of the data making it look uniformly distributed, when it actually is not as minimum distance between data points is maximized.
Here are scatter plots of input of output obtained with gnuplot in a linux terminal
$ gnuplot
gnuplot> set terminal png
Terminal type set to 'png'
gnuplot> set output 'figoutput.png'
gnuplot> plot "output.txt" using 1:2
gnuplot> quit
The algorithm seems to work nicely and indeed, it destroys the distribution of the data but keeps the global geometric shape of the cloud.