Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.6533  0.0041  0.0652  0.0650  0.0561  0.05
Ashkenazy 1981   6  0.754  0.026  0.187  0.5930  0.2511  0.38
Beliavsky 2004   48  0.6524  0.0052  0.0554  0.0532  0.1245  0.08
BenOr 1989   5  0.7517  0.005  0.144  0.6433  0.1019  0.25
Biret 1990   33  0.6956  0.0028  0.0927  0.3353  0.0636  0.14
Blet 2003   54  0.6328  0.0053  0.0642  0.0656  0.0459  0.05
Block 1995   39  0.6722  0.0044  0.0740  0.0744  0.0651  0.06
Brailowsky 1960   57  0.6140  0.0059  0.0463  0.0451  0.0564  0.04
Chiu 1999   25  0.7031  0.0030  0.1129  0.3235  0.1225  0.20
Clidat 1994   46  0.6548  0.0048  0.0556  0.0556  0.0465  0.04
Cohen 1997   61  0.5660  0.0061  0.0460  0.0418  0.3141  0.11
Coop 1987   9  0.749  0.009  0.139  0.5240  0.0922  0.22
Cortot 1951   40  0.6712  0.0047  0.0649  0.0612  0.4631  0.17
Czerny 1949   15  0.7220  0.0015  0.0712  0.4830  0.2116  0.32
Czerny 1949b   19  0.7126  0.0025  0.1023  0.3831  0.2217  0.29
Ezaki 2006   4  0.763  0.022  0.193  0.6627  0.354  0.48
Falvay 1989   38  0.6829  0.0049  0.0555  0.0541  0.0947  0.07
Ferenczy 1958   58  0.6050  0.0054  0.0558  0.0534  0.0950  0.07
Fiorentino 1962   31  0.6949  0.0024  0.0925  0.3741  0.0830  0.17
Fliere 1977   17  0.7152  0.0020  0.0728  0.3345  0.0633  0.14
Fou 1978   8  0.7447  0.007  0.266  0.6028  0.315  0.43
Francois 1956   60  0.5851  0.0063  0.0650  0.0629  0.1643  0.10
Hatto 1997   21  0.7119  0.0027  0.0826  0.3616  0.496  0.42
Horowitz 1971   49  0.6438  0.0046  0.0647  0.0626  0.2738  0.13
Horowitz 1985   59  0.5953  0.0056  0.0557  0.0517  0.3834  0.14
Indjic 2001   20  0.7127  0.0026  0.0824  0.3717  0.457  0.41
Kapell 1951   16  0.7243  0.0018  0.0816  0.4237  0.0929  0.19
Kiepura 1999   42  0.6732  0.0050  0.0553  0.0534  0.0654  0.05
Kilenyi 1937   30  0.6939  0.0023  0.0915  0.4442  0.0926  0.20
Kissin 1993   23  0.7058  0.0029  0.0930  0.3045  0.0735  0.14
Kitain 1937   63  0.4744  0.0062  0.0461  0.0432  0.1546  0.08
Kushner 1990   32  0.695  0.0122  0.0717  0.4210  0.583  0.49
Levy 1951   28  0.706  0.0113  0.1211  0.5013  0.581  0.54
Luisada 1990   7  0.742  0.0210  0.1420  0.3927  0.3412  0.36
Lushtak 2004   18  0.7114  0.0031  0.1132  0.2617  0.4213  0.33
Lympany 1968   52  0.6457  0.0051  0.0651  0.0655  0.0555  0.05
Magaloff 1977   11  0.727  0.0114  0.0814  0.4525  0.349  0.39
Magaloff 1977b   13  0.7230  0.0019  0.0922  0.3926  0.2814  0.33
Magin 1975   10  0.7337  0.0011  0.1121  0.3935  0.1124  0.21
Milkina 1970   36  0.6846  0.0042  0.0646  0.0633  0.0949  0.07
Mohovich 1999   37  0.6836  0.0040  0.0738  0.0757  0.0463  0.05
Nadelmann 1956   41  0.6723  0.0034  0.1333  0.1334  0.0742  0.10
Ohlsson 1999   29  0.7055  0.0037  0.0935  0.0932  0.2037  0.13
Olejniczac 1990   26  0.7063  0.0021  0.1018  0.4236  0.1027  0.20
Olejniczak 1991   24  0.7041  0.0016  0.0813  0.4835  0.1021  0.22
Osinska 1989   2  0.7625  0.003  0.185  0.6439  0.0920  0.24
Paderewski 1912   45  0.6618  0.0039  0.0837  0.0829  0.1940  0.12
Perahia 1994   50  0.648  0.0035  0.0836  0.0814  0.4928  0.20
Perlemuter 1986   56  0.6259  0.0058  0.0644  0.0659  0.0458  0.05
Poblocka 1999   3  0.7611  0.004  0.222  0.6727  0.362  0.49
Rangell 2001   22  0.7115  0.0017  0.0919  0.4130  0.1718  0.26
Risler 1920   62  0.5661  0.0060  0.0462  0.0451  0.0656  0.05
Rosen 1989   53  0.6362  0.0057  0.0459  0.0442  0.0662  0.05
Rubinstein 1939   55  0.6321  0.0045  0.0741  0.0719  0.3632  0.16
Rubinstein 1952   34  0.6954  0.0038  0.0739  0.0751  0.0553  0.06
Rubinstein 1966   44  0.6635  0.0043  0.0643  0.0641  0.0560  0.05
Rummel 1943   51  0.6434  0.0055  0.0645  0.0640  0.0652  0.06
Shebanova 2002   14  0.7210  0.0012  0.1110  0.5020  0.308  0.39
Smith 1975   12  0.7213  0.008  0.268  0.5427  0.2710  0.38
Szpilman 1948   43  0.6642  0.0033  0.1034  0.1044  0.0644  0.08
Uninsky 1971   27  0.7016  0.0032  0.1531  0.2832  0.1723  0.22
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Weissenberg 1971   35  0.6845  0.0036  0.0648  0.0641  0.0848  0.07
Average   1  0.841  0.861  0.851  0.9433  0.1115  0.32
Random 1    65  -0.0366  0.0065  0.0265  0.0229  0.1357  0.05
Random 2   64  0.0265  0.0064  0.0464  0.0419  0.3739  0.12
Random 3   66  -0.0464  0.0066  0.0166  0.0133  0.0566  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).