Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.405  0.049  0.1512  0.609  0.6012  0.60
Anderszewski 2003   17  0.4032  0.0014  0.1613  0.593  0.738  0.66
Ashkenazy 1981   62  0.2373  0.0061  0.0750  0.0766  0.0657  0.06
Bacha 2000   27  0.3564  0.0034  0.0628  0.3223  0.4225  0.37
Badura 1965   75  0.1888  0.0075  0.0376  0.0368  0.0383  0.03
Barbosa 1983   12  0.4213  0.0113  0.1818  0.4916  0.5218  0.50
Biret 1990   85  0.0689  0.0088  0.0285  0.0282  0.0390  0.02
Blet 2003   70  0.2053  0.0064  0.0562  0.0565  0.0564  0.05
Block 1995   5  0.4919  0.0110  0.177  0.6816  0.579  0.62
Blumental 1952   61  0.2322  0.0063  0.0653  0.0668  0.0466  0.05
Boshniakovich 1969   3  0.541  0.281  0.283  0.763  0.762  0.76
Brailowsky 1960   9  0.456  0.0311  0.1710  0.632  0.774  0.70
Bunin 1987   83  0.1177  0.0083  0.0469  0.0483  0.0384  0.03
Bunin 1987b   82  0.1183  0.0084  0.0470  0.0486  0.0381  0.03
Chiu 1999   45  0.2890  0.0065  0.0565  0.0572  0.0467  0.04
Cohen 1997   29  0.349  0.0225  0.0725  0.3519  0.5420  0.43
Cortot 1951   32  0.3318  0.0144  0.0841  0.1822  0.5232  0.31
Csalog 1996   78  0.1584  0.0069  0.0375  0.0361  0.0570  0.04
Czerny 1949   67  0.2146  0.0053  0.0658  0.0630  0.5342  0.18
Czerny 1990   81  0.1465  0.0081  0.0468  0.0469  0.0474  0.04
Duchoud 2007   73  0.1874  0.0082  0.0563  0.0577  0.0372  0.04
Ezaki 2006   21  0.3814  0.0117  0.1116  0.5024  0.5717  0.53
Falvay 1989   66  0.2149  0.0074  0.0382  0.0378  0.0378  0.03
Farrell 1958   86  0.0563  0.0085  0.0286  0.0285  0.0288  0.02
Ferenczy 1958   38  0.3235  0.0027  0.0731  0.2714  0.7619  0.45
Fliere 1977   37  0.3241  0.0047  0.0848  0.0878  0.0454  0.06
Fou 1978   44  0.2975  0.0052  0.0656  0.0664  0.0459  0.05
Francois 1956   36  0.3336  0.0026  0.0729  0.3121  0.5622  0.42
Friedman 1923   65  0.2257  0.0076  0.0380  0.0368  0.0575  0.04
Friedman 1923b   68  0.2091  0.0078  0.0381  0.0371  0.0485  0.03
Friedman 1930   74  0.1885  0.0077  0.0284  0.0283  0.0389  0.02
Garcia 2007   10  0.4423  0.006  0.135  0.697  0.667  0.67
Garcia 2007b   87  0.0576  0.0080  0.0379  0.0365  0.0486  0.03
Gierzod 1998   6  0.488  0.025  0.269  0.644  0.783  0.71
Gornostaeva 1994   16  0.4015  0.0119  0.1217  0.5018  0.6215  0.56
Groot 1988   35  0.3334  0.0032  0.0726  0.3549  0.0844  0.17
Harasiewicz 1955   7  0.4827  0.007  0.128  0.678  0.5811  0.62
Hatto 1993   42  0.3031  0.0024  0.0830  0.3051  0.0945  0.16
Hatto 1997   51  0.2712  0.0122  0.1036  0.2330  0.2639  0.24
Horowitz 1949   48  0.2821  0.0058  0.0560  0.0564  0.0560  0.05
Indjic 1988   58  0.2444  0.0035  0.0644  0.1649  0.0848  0.11
Kapell 1951   49  0.2766  0.0048  0.0749  0.0756  0.0655  0.06
Kissin 1993   79  0.1447  0.0073  0.0383  0.0351  0.0863  0.05
Kushner 1989   28  0.3478  0.0036  0.0733  0.2638  0.2237  0.24
Luisada 1991   59  0.2467  0.0059  0.0657  0.0649  0.0851  0.07
Lushtak 2004   25  0.3540  0.0033  0.0638  0.2324  0.2835  0.25
Malcuzynski 1961   39  0.3250  0.0046  0.0847  0.0852  0.0752  0.07
Magaloff 1978   20  0.3842  0.0029  0.0922  0.3735  0.3329  0.35
Magin 1975   77  0.1668  0.0079  0.0471  0.0462  0.0568  0.04
Michalowski 1933   72  0.1960  0.0072  0.0374  0.0353  0.0762  0.05
Milkina 1970   56  0.2516  0.0142  0.0743  0.1826  0.4134  0.27
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   69  0.2070  0.0056  0.0467  0.0481  0.0376  0.03
Morozova 2008   47  0.2871  0.0050  0.0654  0.0668  0.0465  0.05
Neighaus 1950   8  0.4611  0.018  0.156  0.695  0.5510  0.62
Niedzielski 1931   41  0.3179  0.0045  0.0845  0.1555  0.0649  0.09
Ohlsson 1999   57  0.2572  0.0068  0.0472  0.0464  0.0469  0.04
Osinska 1989   18  0.4025  0.0028  0.0724  0.3626  0.4921  0.42
Pachmann 1927   24  0.3720  0.0030  0.0737  0.2340  0.2538  0.24
Paderewski 1930   34  0.3354  0.0038  0.0932  0.2735  0.3433  0.30
Perlemuter 1992   13  0.4239  0.0016  0.1215  0.5516  0.6313  0.59
Pierdomenico 2008   63  0.2355  0.0067  0.0373  0.0370  0.0379  0.03
Poblocka 1999   40  0.3224  0.0041  0.0735  0.2337  0.2636  0.24
Rabcewiczowa 1932   11  0.437  0.0212  0.1611  0.617  0.766  0.68
Rachmaninoff 1923   80  0.1461  0.0071  0.0378  0.0358  0.0477  0.03
Rangell 2001   14  0.4117  0.0115  0.1714  0.567  0.5814  0.57
Richter 1976   33  0.3328  0.0051  0.0655  0.0670  0.0461  0.05
Rosen 1989   4  0.513  0.143  0.224  0.747  0.675  0.70
Rosenthal 1930   50  0.2769  0.0049  0.0751  0.0721  0.4543  0.18
Rosenthal 1931   55  0.2651  0.0043  0.0834  0.2318  0.6126  0.37
Rosenthal 1931b   43  0.2952  0.0039  0.0740  0.2216  0.6624  0.38
Rosenthal 1931c   30  0.3410  0.0118  0.1319  0.489  0.6616  0.56
Rosenthal 1931d   71  0.2043  0.0057  0.0561  0.0531  0.3847  0.14
Rossi 2007   84  0.0959  0.0086  0.0289  0.0238  0.1258  0.05
Rubinstein 1939   76  0.1780  0.0070  0.0377  0.0365  0.0480  0.03
Rubinstein 1952   31  0.3333  0.0021  0.0927  0.3429  0.3928  0.36
Rubinstein 1966   1  0.542  0.252  0.301  0.812  0.771  0.79
Schilhawsky 1960   64  0.2281  0.0060  0.0564  0.0543  0.1550  0.09
Shebanova 2002   46  0.2829  0.0062  0.0659  0.0662  0.0756  0.06
Smith 1975   52  0.2786  0.0054  0.0652  0.0635  0.3346  0.14
Sokolov 2002   26  0.3537  0.0037  0.0839  0.2222  0.4330  0.31
Sztompka 1959   54  0.2662  0.0055  0.0946  0.0957  0.0653  0.07
Tomsic 1995   53  0.2782  0.0040  0.0742  0.1835  0.1841  0.18
Uninsky 1932   60  0.2345  0.0066  0.0466  0.0473  0.0471  0.04
Uninsky 1971   22  0.3838  0.0031  0.0621  0.3934  0.2431  0.31
Wasowski 1980   88  0.0448  0.0089  0.0287  0.0284  0.0287  0.02
Zak 1937   23  0.3826  0.0023  0.0923  0.3731  0.3627  0.36
Zak 1951   19  0.3930  0.0020  0.1020  0.4027  0.3823  0.39
Average   2  0.544  0.064  0.302  0.8051  0.0640  0.22
Random 1   91  -0.0687  0.0091  0.0191  0.0184  0.0291  0.01
Random 2   89  0.0158  0.0087  0.0288  0.0251  0.0582  0.03
Random 3   90  -0.0356  0.0090  0.0190  0.0139  0.1473  0.04

Note: To load data table give above into Excel, copy and paste the data into a text editor (such as WordPad) first, then copy the text in the editor and past into Excel. You should remove the "target" line from the data before pasting into Excel so that plotting graphs of the data is done properly.

Column descriptions

  • Performance:
  • 0-Rank/0-Score: 0-Score is equivalent to Pearson correlation of the entire data sequence between the reference performance and a test performance. 0-Rank is the sorting order of the 0-scores (highest score has a rank of 1).
  • 1-Rank/1-Score: 1-Score is the area fraction covered by a particular performance in the scape plot (see image above). These values should not be taken literally, since they are sensitive to the Hatto Effect.
  • 2-Rank/2-Score: 2-Score values are equivalent to 1-Score values with all higher-ranking performances removed before the calculation of the area of coverage in the scape is calculated. Improvment over the 1-Rank scores, but still somewhat sensitive to the Hatto Effect.
  • 3-Rank/3-Score: Similar to 2-Rank calculations. The bottom 1/2 of the 2-rank performances are kept constant as a noise floor for the similarity measurement. Then one-by-one the top 1/2 of the 2-rank performances are superimposed with the noise-floor performances, and a 3-score is measured as the area covered in the scape. This measure is not sentisive to the Hatto Effect.
  • 3R-Rank/3R-Score: Reverse 3-rank/3-scores. 3-rankings and scores are not symmetric (A->B values are different from B->A values). So this column represents similarity measures in the opposite direction.
  • 4-Rank/4-Score: The geometric mean between 3-scores and 3R-scores. This column gives the best overall similarity ranking between the various performances (see color codes below).
  • NED: Noise Equivalient Distance (not yet implemented)

Color codes for 3-rank listings:

  • red = strongly similar performance to target
  • orange = moderately similar performance
  • yellow = weakly similar performance
  • green = marginally similar/dissimilar performance
  • white = dissimilar to target
  • blue = false positive (has high 3-rank score but low 3R-rank score)

3-rank/scores are not symmetric, so the 3R-rank/score columns give the 3-rank/scores going in the opposite direction. More matches in the 3-rank column than in the 3R-rank column indicates an individualistic performance, while more matches in the 3R-rank column indicates a mainstream performance.

If a 3-rank and a 3R-rank are both marked as similar to each other, then there is a possible direct relation between the performances. If one is similar to the other but not in the reverse direction, then the similarity is more likely to be by chance (performers randomly chose a similar interpretation).