what are the dimensions of normalized mutual information? how accurate is reducing dimensions why is the accuracy of dimensions dropping at different scales what is dimension reduction why is accuracy down when at dimension reduction what dimensions do you use to reduce the scale? what is the accuracy at dimension 6? what dimension does the accuracy decrease when performing a cluster analysis? which dimension is closest to standard accuracy what dimensions does data reduction include how to interpret data reduction why does accuracy go down when using dimension reduction what dimension is a normalized mutual information minimizing accuracy what dimension does nml decrease accuracy how to interpret dimension reduction in clustering which dimension is better when is accuracy reduce at dimension 10 how accurate is dimension reduction? what dimension is better for precision reduction