Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.0442  0.0049  0.0448  0.0459  0.0442  0.04
Ax 1995   60  0.2015  0.0140  0.0639  0.0656  0.0441  0.05
Bacha 1998   47  0.2754  0.0053  0.0358  0.0359  0.0350  0.03
Barbosa 1983   63  0.1144  0.0056  0.0452  0.0463  0.0353  0.03
BenOr 1989   9  0.443  0.084  0.187  0.6637  0.095  0.24
Biret 1990   27  0.3646  0.0036  0.1035  0.1059  0.0436  0.06
Brailowsky 1960   50  0.2635  0.0055  0.0451  0.0460  0.0346  0.03
Chiu 1999   45  0.2936  0.0046  0.0542  0.0557  0.0538  0.05
Clidat 1994   48  0.2763  0.0048  0.0455  0.0463  0.0357  0.03
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   23  0.3827  0.0026  0.0822  0.3852  0.0429  0.12
Csalog 1996   41  0.3065  0.0045  0.0446  0.0465  0.0254  0.03
Czerny 1989   32  0.3418  0.0112  0.0919  0.5254  0.0518  0.16
Ezaki 2006   38  0.3355  0.0037  0.1534  0.1557  0.0531  0.09
Falvay 1989   30  0.3516  0.0132  0.1132  0.2564  0.0332  0.09
Fiorentino 1962   1  0.512  0.232  0.371  0.7940  0.084  0.25
Fliere 1977   51  0.268  0.0250  0.0456  0.0463  0.0244  0.03
Fou 1978   21  0.3928  0.0010  0.1318  0.5241  0.078  0.19
Francois 1956   56  0.2448  0.0065  0.0266  0.0259  0.0366  0.02
Goldenweiser 1946   57  0.2356  0.0066  0.0262  0.0266  0.0262  0.02
Gornostaeva 1994   55  0.2532  0.0030  0.1129  0.2853  0.0528  0.12
Groot 1988   8  0.4520  0.0020  0.1214  0.5846  0.0516  0.17
Hatto 1993   42  0.2957  0.0044  0.0543  0.0562  0.0343  0.04
Hatto 1997   49  0.2652  0.0057  0.0449  0.0465  0.0355  0.03
Horszowski 1983   34  0.3429  0.0029  0.0827  0.3049  0.0524  0.12
Indjic 2001   44  0.2949  0.0052  0.0357  0.0363  0.0360  0.03
Katin 1996   3  0.504  0.073  0.173  0.7446  0.067  0.21
Kiepura 1999   5  0.4713  0.015  0.195  0.7120  0.362  0.51
Korecka 1992   31  0.3541  0.0038  0.0937  0.0937  0.0734  0.08
Kushner 1990   18  0.4037  0.0021  0.1716  0.5544  0.0610  0.18
Lilamand 2001   28  0.3650  0.0031  0.1130  0.2852  0.0526  0.12
Luisada 1990   40  0.3160  0.0028  0.0731  0.2762  0.0333  0.09
Luisada 2008   62  0.1747  0.0059  0.0260  0.0264  0.0263  0.02
Lushtak 2004   16  0.4025  0.0016  0.1211  0.5860  0.0323  0.13
Malcuzynski 1951   54  0.2566  0.0064  0.0261  0.0264  0.0264  0.02
Malcuzynski 1961   13  0.4226  0.0013  0.099  0.6053  0.0513  0.17
Magaloff 1977   20  0.3910  0.0218  0.1021  0.4753  0.0422  0.14
Magin 1975   12  0.4322  0.0015  0.0910  0.6055  0.0512  0.17
Meguri 1997   2  0.511  0.271  0.272  0.7513  0.491  0.61
Milkina 1970   22  0.3964  0.0033  0.0833  0.1655  0.0435  0.08
Mohovich 1999   17  0.4030  0.0011  0.1117  0.5350  0.0520  0.16
Nezu 2005   39  0.3367  0.0042  0.0541  0.0565  0.0258  0.03
Ohlsson 1999   36  0.3440  0.0035  0.1036  0.1062  0.0339  0.05
Olejniczak 1990   7  0.4512  0.027  0.296  0.6819  0.313  0.46
Osinska 1989   6  0.4731  0.0014  0.098  0.6555  0.059  0.18
Perlemuter 1992   35  0.3419  0.0141  0.0454  0.0461  0.0245  0.03
Poblocka 1999   43  0.2943  0.0043  0.0447  0.0464  0.0347  0.03
Rangell 2001   15  0.4045  0.0019  0.1213  0.5834  0.086  0.22
Richter 1960   29  0.3651  0.0034  0.0738  0.0760  0.0340  0.05
Richter 1961   46  0.2738  0.0039  0.0540  0.0557  0.0537  0.05
Rosen 1989   10  0.449  0.0223  0.1323  0.3839  0.0815  0.17
Rubinstein 1939   52  0.2561  0.0054  0.0450  0.0460  0.0349  0.03
Rubinstein 1952   59  0.2162  0.0060  0.0359  0.0365  0.0265  0.02
Rubinstein 1966   26  0.366  0.069  0.1220  0.4964  0.0325  0.12
Rudanovskaya 2007   14  0.4211  0.0217  0.1015  0.5541  0.0611  0.18
Shebanova 2002   25  0.377  0.0222  0.1325  0.3257  0.0430  0.11
Smith 1975   53  0.2553  0.0058  0.0445  0.0461  0.0348  0.03
Sztompka 1959   58  0.2258  0.0067  0.0167  0.0165  0.0267  0.01
Tanyel 1992   19  0.3914  0.0124  0.1524  0.3847  0.0719  0.16
Tsujii 2005   11  0.4317  0.018  0.1412  0.5862  0.0421  0.15
Uninsky 1959   37  0.3424  0.0047  0.0453  0.0464  0.0351  0.03
Vardi 1988   61  0.2059  0.0051  0.0444  0.0464  0.0352  0.03
Wasowski 1980   24  0.3821  0.0027  0.0926  0.3137  0.0817  0.16
Zimerman 1975   33  0.3423  0.0025  0.1328  0.3051  0.0527  0.12
Average   4  0.485  0.066  0.254  0.7363  0.0414  0.17
Random 1   65  0.0334  0.0061  0.0263  0.0234  0.0559  0.03
Random 2   66  0.0233  0.0063  0.0264  0.0242  0.0456  0.03
Random 3   67  -0.0139  0.0062  0.0265  0.0237  0.0461  0.03

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).