Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.6519  0.0154  0.0460  0.0446  0.0558  0.04
Ashkenazy 1981   44  0.7217  0.0145  0.0548  0.0557  0.0462  0.04
Beliavsky 2004   38  0.749  0.0140  0.0640  0.0638  0.0740  0.06
BenOr 1989   27  0.7929  0.0027  0.0728  0.2556  0.0528  0.11
Biret 1990   43  0.7212  0.0143  0.0543  0.0546  0.0550  0.05
Blet 2003   19  0.8128  0.0021  0.1621  0.3955  0.0427  0.12
Block 1995   33  0.7643  0.0039  0.0635  0.0633  0.1136  0.08
Brailowsky 1960   46  0.7248  0.0037  0.0554  0.0541  0.0643  0.05
Chiu 1999   15  0.8310  0.0115  0.1112  0.5229  0.197  0.31
Clidat 1994   4  0.857  0.026  0.1816  0.5022  0.235  0.34
Cohen 1997   62  0.3827  0.0062  0.0556  0.0547  0.0548  0.05
Coop 1987   3  0.8545  0.004  0.216  0.5531  0.178  0.31
Cortot 1951   54  0.6431  0.0056  0.0546  0.0555  0.0463  0.04
Czerny 1949   17  0.823  0.055  0.194  0.5830  0.196  0.33
Czerny 1949b   24  0.8023  0.0017  0.1215  0.5043  0.0618  0.17
Ezaki 2006   2  0.862  0.122  0.149  0.5340  0.0813  0.21
Falvay 1989   26  0.8038  0.0016  0.1019  0.4735  0.1111  0.23
Ferenczy 1958   51  0.6865  0.0034  0.0734  0.0750  0.0541  0.06
Fiorentino 1962   7  0.8559  0.0013  0.1311  0.5236  0.0815  0.20
Fliere 1977   16  0.8318  0.0118  0.1220  0.4637  0.0717  0.18
Fou 1978   28  0.7954  0.0029  0.1127  0.2548  0.0626  0.12
Francois 1956   50  0.6958  0.0051  0.0552  0.0545  0.0551  0.05
Hatto 1997   56  0.6164  0.0050  0.0545  0.0559  0.0457  0.04
Horowitz 1971   48  0.7044  0.0055  0.0555  0.0543  0.0649  0.05
Horowitz 1985   57  0.615  0.0260  0.0637  0.0631  0.1134  0.08
Indjic 2001   58  0.6055  0.0052  0.0541  0.0561  0.0461  0.04
Kapell 1951   9  0.8547  0.0012  0.1610  0.5338  0.0814  0.21
Kiepura 1999   45  0.7252  0.0036  0.0547  0.0539  0.0642  0.05
Kilenyi 1937   5  0.8532  0.008  0.107  0.5532  0.1510  0.29
Kissin 1993   13  0.8420  0.0111  0.1013  0.5143  0.0716  0.19
Kitain 1937   60  0.5116  0.0158  0.0363  0.0331  0.1538  0.07
Kushner 1990   22  0.8053  0.0030  0.0830  0.2157  0.0430  0.09
Levy 1951   37  0.7424  0.0046  0.0542  0.0535  0.0644  0.05
Luisada 1990   6  0.8511  0.013  0.145  0.5816  0.383  0.47
Lushtak 2004   32  0.7861  0.0031  0.0632  0.1546  0.0531  0.09
Lympany 1968   41  0.7350  0.0047  0.0459  0.0445  0.0552  0.04
Magaloff 1977   23  0.8034  0.0025  0.0723  0.3551  0.0524  0.13
Magaloff 1977b   25  0.8051  0.0026  0.1125  0.3449  0.0622  0.14
Magin 1975   31  0.784  0.0324  0.1024  0.3445  0.0621  0.14
Milkina 1970   39  0.7430  0.0033  0.0833  0.0840  0.0539  0.06
Mohovich 1999   21  0.8062  0.0023  0.1526  0.3454  0.0525  0.13
Nadelmann 1956   35  0.748  0.0242  0.0549  0.0559  0.0455  0.04
Ohlsson 1999   42  0.7341  0.0044  0.0551  0.0542  0.0545  0.05
Olejniczac 1990   10  0.8533  0.0014  0.1214  0.5143  0.0620  0.17
Olejniczak 1991   14  0.8325  0.0019  0.1518  0.4834  0.1012  0.22
Osinska 1989   30  0.7942  0.0028  0.0929  0.2360  0.0335  0.08
Paderewski 1912   40  0.7335  0.0048  0.0636  0.0661  0.0359  0.04
Perahia 1994   61  0.4963  0.0061  0.0458  0.0460  0.0460  0.04
Perlemuter 1986   20  0.8114  0.0120  0.1717  0.4839  0.0619  0.17
Poblocka 1999   12  0.8457  0.0010  0.118  0.5429  0.179  0.30
Rangell 2001   8  0.8521  0.017  0.182  0.5919  0.442  0.51
Risler 1920   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   29  0.7913  0.0132  0.0931  0.1746  0.0533  0.09
Rubinstein 1939   59  0.5946  0.0059  0.0461  0.0456  0.0454  0.04
Rubinstein 1952   34  0.7639  0.0038  0.0557  0.0559  0.0464  0.04
Rubinstein 1966   52  0.6615  0.0153  0.0550  0.0563  0.0356  0.04
Rummel 1943   47  0.7026  0.0049  0.0544  0.0529  0.1632  0.09
Shebanova 2002   36  0.7449  0.0035  0.0638  0.0649  0.0547  0.05
Smith 1975   18  0.8236  0.0022  0.1722  0.3648  0.0523  0.13
Szpilman 1948   11  0.846  0.029  0.103  0.5922  0.294  0.41
Uninsky 1971   49  0.6940  0.0041  0.0639  0.0661  0.0446  0.05
Wasowski 1980   55  0.6256  0.0057  0.0553  0.0563  0.0353  0.04
Weissenberg 1971   1  0.891  0.501  0.501  0.687  0.671  0.67
Random 1    65  -0.1022  0.0164  0.0264  0.0215  0.2737  0.07
Random 2   63  0.0560  0.0063  0.0362  0.0346  0.0465  0.03
Random 3   64  -0.0937  0.0065  0.0265  0.022  0.5429  0.10

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).