test

media type="custom" key="27717769"Using clustering techniques we divided words on the groups taking into account only their population distribution. As a distance between //j//-th and //k//-th words words we used Pearson’s distance: ,  where the Pearson correlation coefficient between //B// j and //B// k populations: . The summation is over whole data pixel of given word map, //σ// i the standard deviation of //B//. The Pearson distance lies in [0, 2] range. Example of two words with small distance between them is [kl'osh] - vase for fruits and [rombambar] - rheum with //D//=0.08. They have very similar population distribution, see the maps below. Obviously their origin or coming to this area was happened on the same manner and epoch:

Example of the pair of words with large distance near 2 is [trempel'] - сlothes hanger and [lekvar] - jam:

On the base of information about Pearson distances between each words we clustered them and created following dendrogram: