Magaloff 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   46  0.6925  0.0026  0.0925  0.2948  0.0534  0.12
Ax 1995   56  0.6533  0.0048  0.0550  0.0543  0.0561  0.05
Bacha 1998   50  0.6747  0.0052  0.0734  0.0757  0.0454  0.05
Barbosa 1983   60  0.5966  0.0039  0.0641  0.0641  0.0745  0.06
BenOr 1989   7  0.787  0.049  0.136  0.569  0.561  0.56
Biret 1990   11  0.7629  0.0030  0.1329  0.2539  0.0635  0.12
Brailowsky 1960   54  0.6646  0.0053  0.0551  0.0543  0.0551  0.05
Chiu 1999   22  0.7323  0.0031  0.0731  0.1614  0.2519  0.20
Clidat 1994   58  0.6244  0.0054  0.0639  0.0647  0.0557  0.05
Cohen 1997   62  0.5159  0.0063  0.0459  0.0454  0.0465  0.04
Cortot 1951   55  0.6619  0.0156  0.0547  0.0533  0.0941  0.07
Csalog 1996   25  0.738  0.0343  0.0637  0.0654  0.0556  0.05
Czerny 1989   36  0.7137  0.0022  0.0622  0.3022  0.3712  0.33
Ezaki 2006   32  0.7315  0.0135  0.0545  0.057  0.4427  0.15
Falvay 1989   5  0.7811  0.0110  0.1112  0.4142  0.0624  0.16
Fiorentino 1962   40  0.7064  0.0058  0.0636  0.0661  0.0460  0.05
Fliere 1977   21  0.7560  0.0040  0.0735  0.0748  0.0642  0.06
Fou 1978   37  0.7139  0.0025  0.0827  0.2738  0.0828  0.15
Francois 1956   48  0.6812  0.0149  0.0556  0.0513  0.3432  0.13
Goldenweiser 1946   53  0.6741  0.0024  0.0726  0.2915  0.3313  0.31
Gornostaeva 1994   42  0.7031  0.0038  0.0555  0.0536  0.0750  0.06
Groot 1988   2  0.806  0.055  0.162  0.5840  0.0818  0.22
Hatto 1993   14  0.7534  0.0028  0.1020  0.3237  0.0826  0.16
Hatto 1997   17  0.7561  0.0023  0.0717  0.3835  0.0922  0.18
Horszowski 1983   47  0.6818  0.0113  0.0819  0.3326  0.2017  0.26
Indjic 2001   15  0.7563  0.0029  0.1323  0.2946  0.0731  0.14
Katin 1996   26  0.7348  0.0042  0.0548  0.0551  0.0555  0.05
Kiepura 1999   63  0.5156  0.0061  0.0462  0.0449  0.0462  0.04
Korecka 1992   45  0.6954  0.0047  0.0463  0.0437  0.0843  0.06
Kushner 1990   52  0.6745  0.0021  0.0628  0.2720  0.3214  0.29
Lilamand 2001   43  0.6940  0.0036  0.0554  0.0510  0.4529  0.15
Luisada 1990   4  0.792  0.212  0.291  0.6421  0.344  0.47
Luisada 2008   18  0.7528  0.0020  0.0621  0.3233  0.1120  0.19
Lushtak 2004   34  0.7265  0.0044  0.0557  0.0548  0.0559  0.05
Malcuzynski 1951   57  0.6510  0.0214  0.0813  0.414  0.526  0.46
Malcuzynski 1961   29  0.731  0.251  0.243  0.5716  0.375  0.46
Magaloff 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   13  0.7622  0.0012  0.109  0.5030  0.1516  0.27
Meguri 1997   28  0.7355  0.0046  0.0458  0.0433  0.0944  0.06
Milkina 1970   16  0.7535  0.0017  0.1011  0.4318  0.309  0.36
Mohovich 1999   44  0.6953  0.0050  0.0544  0.0558  0.0464  0.04
Nezu 2005   33  0.7250  0.0034  0.0543  0.0535  0.0748  0.06
Ohlsson 1999   20  0.7536  0.0027  0.1018  0.3338  0.0825  0.16
Olejniczak 1990   9  0.7717  0.0116  0.0824  0.2924  0.2915  0.29
Osinska 1989   24  0.7326  0.0019  0.0730  0.1853  0.0537  0.09
Perlemuter 1992   51  0.6757  0.0057  0.0546  0.0530  0.1338  0.08
Poblocka 1999   19  0.7530  0.0032  0.0532  0.1047  0.0639  0.08
Rangell 2001   23  0.7320  0.0141  0.0640  0.068  0.5921  0.19
Richter 1960   41  0.709  0.0251  0.0733  0.0741  0.0546  0.06
Richter 1961   61  0.5838  0.0062  0.0461  0.0445  0.0652  0.05
Rosen 1989   12  0.7624  0.0018  0.1016  0.3819  0.3511  0.36
Rubinstein 1939   39  0.7014  0.0133  0.0542  0.0542  0.0653  0.05
Rubinstein 1952   31  0.7343  0.008  0.1014  0.3948  0.0630  0.15
Rubinstein 1966   8  0.7816  0.016  0.137  0.5548  0.0523  0.17
Rudanovskaya 2007   49  0.6821  0.0160  0.0638  0.0653  0.0458  0.05
Shebanova 2002   6  0.784  0.054  0.248  0.5517  0.403  0.47
Smith 1975   3  0.7913  0.0111  0.1110  0.475  0.582  0.52
Sztompka 1959   30  0.7342  0.0037  0.0553  0.0518  0.2833  0.12
Tanyel 1992   35  0.7152  0.0045  0.0460  0.0424  0.3236  0.11
Tsujii 2005   1  0.813  0.143  0.224  0.5718  0.357  0.45
Uninsky 1959   10  0.775  0.057  0.125  0.5725  0.2310  0.36
Vardi 1988   59  0.6049  0.0059  0.0549  0.0557  0.0463  0.04
Wasowski 1980   27  0.7332  0.0015  0.0815  0.3918  0.378  0.38
Zimerman 1975   38  0.7027  0.0055  0.0552  0.0556  0.0466  0.04
Random 1   66  -0.0158  0.0065  0.0265  0.0228  0.1749  0.06
Random 2   65  0.0651  0.0066  0.0166  0.0114  0.3347  0.06
Random 3   64  0.0762  0.0064  0.0364  0.0329  0.1540  0.07
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).