Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.3473  0.0033  0.0827  0.4947  0.0632  0.17
Anderszewski 2003   42  0.314  0.039  0.1129  0.4850  0.0728  0.18
Ashkenazy 1981   67  0.2560  0.0075  0.0376  0.0384  0.0385  0.03
Bacha 2000   44  0.3045  0.0037  0.0835  0.3437  0.2023  0.26
Badura 1965   80  0.2248  0.0058  0.0466  0.0475  0.0383  0.03
Barbosa 1983   50  0.2978  0.0050  0.0749  0.0768  0.0551  0.06
Biret 1990   16  0.3739  0.0020  0.0818  0.5730  0.3810  0.47
Blet 2003   77  0.2353  0.0080  0.0367  0.0379  0.0379  0.03
Block 1995   65  0.2581  0.0066  0.0457  0.0488  0.0384  0.03
Blumental 1952   52  0.2844  0.0045  0.0745  0.1378  0.0449  0.07
Boshniakovich 1969   39  0.3184  0.0034  0.0836  0.3055  0.0639  0.13
Brailowsky 1960   47  0.2937  0.0044  0.0843  0.2058  0.0640  0.11
Bunin 1987   75  0.2383  0.0076  0.0373  0.0366  0.0486  0.03
Bunin 1987b   78  0.2251  0.0077  0.0370  0.0388  0.0373  0.03
Chiu 1999   36  0.3126  0.0051  0.0650  0.0677  0.0456  0.05
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   17  0.3632  0.0021  0.0712  0.6111  0.625  0.61
Csalog 1996   58  0.2661  0.0067  0.0465  0.0472  0.0464  0.04
Czerny 1949   11  0.3815  0.0114  0.0913  0.5925  0.537  0.56
Czerny 1990   68  0.2574  0.0071  0.0382  0.0384  0.0387  0.03
Duchoud 2007   63  0.2536  0.0057  0.0371  0.0372  0.0482  0.03
Ezaki 2006   3  0.442  0.152  0.215  0.7120  0.544  0.62
Falvay 1989   13  0.3816  0.0122  0.0820  0.5544  0.1024  0.23
Farrell 1958   35  0.3152  0.0047  0.0847  0.0849  0.0648  0.07
Ferenczy 1958   57  0.2758  0.0039  0.0937  0.2831  0.5114  0.38
Fliere 1977   51  0.2940  0.0056  0.0464  0.0487  0.0367  0.03
Fou 1978   38  0.3175  0.0049  0.0653  0.0672  0.0457  0.05
Francois 1956   4  0.433  0.063  0.213  0.737  0.761  0.74
Friedman 1923   84  0.1880  0.0086  0.0380  0.0377  0.0388  0.03
Friedman 1923b   85  0.1886  0.0085  0.0288  0.0287  0.0291  0.02
Friedman 1930   73  0.2490  0.0070  0.0368  0.0379  0.0381  0.03
Garcia 2007   61  0.2642  0.0053  0.0652  0.0644  0.1047  0.08
Garcia 2007b   33  0.3218  0.0130  0.0732  0.4234  0.2022  0.29
Gierzod 1998   45  0.3079  0.0038  0.0933  0.4050  0.0733  0.17
Gornostaeva 1994   6  0.4113  0.016  0.118  0.6325  0.469  0.54
Groot 1988   23  0.3557  0.0025  0.0822  0.5445  0.1025  0.23
Harasiewicz 1955   12  0.3810  0.0126  0.0928  0.4969  0.0537  0.16
Hatto 1993   54  0.2882  0.0048  0.0946  0.0975  0.0454  0.06
Hatto 1997   27  0.3411  0.0115  0.1016  0.5856  0.0531  0.17
Horowitz 1949   83  0.1966  0.0072  0.0381  0.0366  0.0474  0.03
Indjic 1988   60  0.2687  0.0052  0.0748  0.0760  0.0650  0.06
Kapell 1951   72  0.2433  0.0078  0.0383  0.0384  0.0371  0.03
Kissin 1993   87  0.1789  0.0087  0.0374  0.0380  0.0478  0.03
Kushner 1989   19  0.3617  0.0136  0.0740  0.2482  0.0344  0.08
Luisada 1991   53  0.2871  0.0063  0.0369  0.0383  0.0366  0.03
Lushtak 2004   21  0.3559  0.0017  0.1014  0.5857  0.0534  0.17
Malcuzynski 1961   46  0.3064  0.0041  0.0844  0.2078  0.0345  0.08
Magaloff 1978   24  0.3425  0.0032  0.0834  0.3973  0.0342  0.11
Magin 1975   69  0.2441  0.0073  0.0385  0.0383  0.0370  0.03
Michalowski 1933   88  0.1588  0.0088  0.0286  0.0287  0.0389  0.02
Milkina 1970   28  0.345  0.028  0.147  0.6438  0.2913  0.43
Mohovich 1999   20  0.3531  0.0028  0.1221  0.5548  0.0535  0.17
Moravec 1969   32  0.3255  0.0046  0.0651  0.0656  0.0555  0.05
Morozova 2008   56  0.2770  0.0068  0.0461  0.0487  0.0280  0.03
Neighaus 1950   26  0.3422  0.0127  0.1231  0.4739  0.2020  0.31
Niedzielski 1931   76  0.2372  0.0065  0.0460  0.0449  0.0561  0.04
Ohlsson 1999   18  0.3630  0.0016  0.1025  0.5168  0.0438  0.14
Osinska 1989   7  0.4024  0.0012  0.1015  0.5839  0.2116  0.35
Pachmann 1927   70  0.2456  0.0083  0.0379  0.0381  0.0377  0.03
Paderewski 1930   86  0.1762  0.0081  0.0384  0.0363  0.0476  0.03
Perlemuter 1992   37  0.3135  0.0054  0.0554  0.0576  0.0459  0.04
Pierdomenico 2008   31  0.3327  0.0040  0.0942  0.2233  0.2026  0.21
Poblocka 1999   66  0.2549  0.0074  0.0377  0.0380  0.0368  0.03
Rabcewiczowa 1932   5  0.416  0.025  0.294  0.7215  0.563  0.63
Rachmaninoff 1923   74  0.2477  0.0064  0.0462  0.0462  0.0460  0.04
Rangell 2001   22  0.3521  0.0124  0.0923  0.5332  0.3911  0.45
Richter 1976   59  0.2668  0.0079  0.0375  0.0385  0.0375  0.03
Rosen 1989   14  0.389  0.0118  0.1111  0.6248  0.0530  0.18
Rosenthal 1930   48  0.2928  0.0042  0.0838  0.2433  0.3821  0.30
Rosenthal 1931   43  0.3046  0.0023  0.0824  0.5320  0.578  0.55
Rosenthal 1931b   41  0.3120  0.0119  0.0917  0.5816  0.596  0.58
Rosenthal 1931c   34  0.328  0.0229  0.1230  0.4724  0.4312  0.45
Rosenthal 1931d   62  0.2629  0.0043  0.1041  0.2219  0.4319  0.31
Rossi 2007   55  0.2847  0.0061  0.0459  0.0431  0.3041  0.11
Rubinstein 1939   30  0.3454  0.0031  0.0826  0.4952  0.0536  0.16
Rubinstein 1952   10  0.3934  0.0011  0.1010  0.6243  0.2115  0.36
Rubinstein 1966   8  0.4019  0.017  0.129  0.6336  0.1817  0.34
Schilhawsky 1960   82  0.2176  0.0084  0.0287  0.0285  0.0390  0.02
Shebanova 2002   49  0.2950  0.0062  0.0555  0.0578  0.0558  0.05
Smith 1975   2  0.457  0.024  0.242  0.798  0.632  0.71
Sokolov 2002   81  0.2143  0.0082  0.0372  0.0372  0.0369  0.03
Sztompka 1959   40  0.3163  0.0055  0.0556  0.0575  0.0463  0.04
Tomsic 1995   15  0.3712  0.0113  0.0819  0.5639  0.1918  0.33
Uninsky 1932   64  0.2569  0.0060  0.0463  0.0467  0.0465  0.04
Uninsky 1971   9  0.4023  0.0010  0.116  0.6862  0.0527  0.18
Wasowski 1980   25  0.3414  0.0135  0.0839  0.2479  0.0443  0.10
Zak 1937   79  0.2285  0.0069  0.0378  0.0381  0.0472  0.03
Zak 1951   71  0.2491  0.0059  0.0458  0.0466  0.0462  0.04
Average   1  0.511  0.481  0.471  0.8476  0.0429  0.18
Random 1   90  -0.0167  0.0090  0.0190  0.0126  0.3252  0.06
Random 2   89  0.0738  0.0089  0.0289  0.0223  0.3246  0.08
Random 3   91  -0.0165  0.0091  0.0191  0.0120  0.3253  0.06

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).