Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   6  0.7513  0.013  0.273  0.695  0.641  0.66
Ax 1995   34  0.7018  0.0033  0.0733  0.1426  0.2932  0.20
Bacha 1998   42  0.6835  0.0041  0.0835  0.0821  0.3535  0.17
Barbosa 1983   57  0.6065  0.0054  0.0648  0.0635  0.0952  0.07
BenOr 1989   50  0.6546  0.0043  0.0743  0.0744  0.0659  0.06
Biret 1990   29  0.7148  0.0038  0.0740  0.0742  0.0755  0.07
Brailowsky 1960   30  0.7116  0.0025  0.0725  0.309  0.6017  0.42
Chiu 1999   41  0.6824  0.0047  0.0460  0.0427  0.2645  0.10
Clidat 1994   33  0.7041  0.0032  0.0729  0.1825  0.4430  0.28
Cohen 1997   62  0.5457  0.0064  0.0646  0.0635  0.0954  0.07
Cortot 1951   63  0.5321  0.0063  0.0558  0.0513  0.2943  0.12
Csalog 1996   15  0.7444  0.0031  0.0831  0.1621  0.3931  0.25
Czerny 1989   38  0.6928  0.0028  0.1027  0.2218  0.4726  0.32
Ezaki 2006   39  0.6822  0.0050  0.0557  0.0539  0.0856  0.06
Falvay 1989   8  0.759  0.014  0.266  0.6223  0.3811  0.49
Fiorentino 1962   9  0.757  0.0115  0.1013  0.4915  0.5210  0.50
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   28  0.7120  0.0012  0.1020  0.3720  0.3723  0.37
Francois 1956   47  0.673  0.0242  0.0836  0.0810  0.4933  0.20
Goldenweiser 1946   64  0.5232  0.0062  0.0364  0.0347  0.0663  0.04
Gornostaeva 1994   37  0.6914  0.0029  0.0830  0.183  0.6924  0.35
Groot 1988   23  0.7310  0.0114  0.1421  0.3524  0.3225  0.33
Hatto 1993   17  0.7412  0.0110  0.107  0.5920  0.3912  0.48
Hatto 1997   14  0.7431  0.0011  0.138  0.5921  0.3613  0.46
Horszowski 1983   58  0.5955  0.0059  0.0551  0.0526  0.1646  0.09
Indjic 2001   11  0.7515  0.009  0.144  0.6318  0.439  0.52
Katin 1996   26  0.7247  0.0037  0.0837  0.0841  0.0848  0.08
Kiepura 1999   59  0.5950  0.0057  0.0556  0.0537  0.0757  0.06
Korecka 1992   54  0.6352  0.0058  0.0644  0.0628  0.2542  0.12
Kushner 1990   60  0.5949  0.0045  0.0555  0.0550  0.0464  0.04
Lilamand 2001   61  0.5561  0.0061  0.0463  0.0452  0.0661  0.05
Luisada 1990   53  0.6454  0.0053  0.0645  0.0641  0.0758  0.06
Luisada 2008   45  0.688  0.0123  0.0732  0.1519  0.5329  0.28
Lushtak 2004   21  0.7336  0.0013  0.1210  0.5114  0.595  0.55
Malcuzynski 1951   35  0.7042  0.0022  0.1123  0.3412  0.4822  0.40
Malcuzynski 1961   18  0.745  0.017  0.1412  0.4922  0.3619  0.42
Magaloff 1977   44  0.6826  0.0046  0.0462  0.0429  0.1649  0.08
Magin 1975   27  0.7127  0.0026  0.0826  0.3027  0.3028  0.30
Meguri 1997   56  0.6159  0.0055  0.0550  0.0562  0.0465  0.04
Milkina 1970   36  0.7038  0.0035  0.0741  0.0733  0.1844  0.11
Mohovich 1999   25  0.7339  0.0016  0.1019  0.4217  0.4020  0.41
Nezu 2005   40  0.6863  0.0039  0.0838  0.0850  0.0653  0.07
Ohlsson 1999   12  0.7451  0.0030  0.0728  0.2032  0.1436  0.17
Olejniczak 1990   32  0.7137  0.0034  0.0742  0.0727  0.2540  0.13
Osinska 1989   3  0.7645  0.008  0.155  0.6328  0.2916  0.43
Perlemuter 1992   55  0.6256  0.0060  0.0647  0.0617  0.3037  0.13
Poblocka 1999   10  0.7534  0.0018  0.1216  0.4625  0.3918  0.42
Rangell 2001   48  0.6725  0.0049  0.0459  0.0420  0.4039  0.13
Richter 1960   24  0.7330  0.0019  0.1117  0.453  0.647  0.54
Richter 1961   22  0.732  0.046  0.1618  0.443  0.684  0.55
Rosen 1989   20  0.7358  0.0027  0.1122  0.348  0.5815  0.44
Rubinstein 1939   5  0.7611  0.015  0.139  0.5616  0.508  0.53
Rubinstein 1952   16  0.746  0.0121  0.1415  0.4820  0.4514  0.46
Rubinstein 1966   4  0.7623  0.0017  0.1114  0.4824  0.3321  0.40
Rudanovskaya 2007   46  0.6853  0.0048  0.0461  0.0412  0.4438  0.13
Shebanova 2002   13  0.7460  0.0024  0.0824  0.3122  0.3227  0.31
Smith 1975   49  0.6740  0.0051  0.0553  0.0533  0.1447  0.08
Sztompka 1959   51  0.6533  0.0056  0.0554  0.0535  0.0951  0.07
Tanyel 1992   31  0.7143  0.0040  0.1234  0.1225  0.2834  0.18
Tsujii 2005   2  0.804  0.012  0.242  0.7317  0.463  0.58
Uninsky 1959   19  0.7329  0.0036  0.0839  0.0845  0.0650  0.07
Vardi 1988   52  0.6462  0.0052  0.0552  0.0547  0.0660  0.05
Wasowski 1980   43  0.6817  0.0044  0.0649  0.0630  0.2441  0.12
Zimerman 1975   7  0.7519  0.0020  0.1311  0.5012  0.606  0.55
Average   1  0.851  0.771  0.761  0.8928  0.442  0.63
Random 1   67  -0.0467  0.0067  0.0167  0.0131  0.1366  0.04
Random 2   65  0.0066  0.0066  0.0266  0.0229  0.1562  0.05
Random 3   66  0.0064  0.0065  0.0265  0.0258  0.0367  0.02

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).