Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   16  0.7729  0.0013  0.1114  0.4537  0.0819  0.19
Ax 1995   31  0.7243  0.0034  0.0544  0.0545  0.0653  0.05
Bacha 1998   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Barbosa 1983   54  0.6531  0.0046  0.0637  0.0658  0.0549  0.05
BenOr 1989   35  0.7248  0.0038  0.0550  0.0525  0.2132  0.10
Biret 1990   6  0.802  0.123  0.175  0.5720  0.307  0.41
Brailowsky 1960   33  0.7222  0.0135  0.0549  0.0532  0.1634  0.09
Chiu 1999   46  0.6840  0.0058  0.0552  0.0562  0.0457  0.04
Clidat 1994   26  0.7436  0.0023  0.1016  0.4240  0.0622  0.16
Cohen 1997   62  0.6128  0.0061  0.0548  0.0534  0.0841  0.06
Cortot 1951   55  0.6546  0.0053  0.0458  0.047  0.4826  0.14
Csalog 1996   40  0.7150  0.0048  0.0364  0.0349  0.0562  0.04
Czerny 1989   44  0.7064  0.0019  0.0925  0.3127  0.2413  0.27
Ezaki 2006   38  0.7127  0.0043  0.0640  0.0650  0.0543  0.05
Falvay 1989   2  0.831  0.401  0.392  0.6714  0.461  0.56
Fiorentino 1962   7  0.7811  0.0121  0.1218  0.4143  0.0623  0.16
Fliere 1977   13  0.7732  0.0020  0.1220  0.3938  0.0624  0.15
Fou 1978   14  0.7749  0.0017  0.1021  0.3838  0.0820  0.17
Francois 1956   56  0.6465  0.0054  0.0455  0.0449  0.0656  0.05
Goldenweiser 1946   63  0.4767  0.0063  0.0546  0.0548  0.0545  0.05
Gornostaeva 1994   48  0.6857  0.0045  0.0641  0.0635  0.0838  0.07
Groot 1988   36  0.7139  0.0041  0.0636  0.0650  0.0554  0.05
Hatto 1993   10  0.7815  0.0111  0.1510  0.5232  0.1414  0.27
Hatto 1997   9  0.7818  0.019  0.126  0.5626  0.1712  0.31
Horszowski 1983   53  0.6530  0.0040  0.0638  0.0626  0.1533  0.09
Indjic 2001   8  0.7812  0.0110  0.107  0.5425  0.1911  0.32
Katin 1996   21  0.7555  0.0032  0.0632  0.1361  0.0437  0.07
Kiepura 1999   57  0.6341  0.0056  0.0453  0.0436  0.0644  0.05
Korecka 1992   49  0.6860  0.0055  0.0456  0.0430  0.1336  0.07
Kushner 1990   59  0.6337  0.0050  0.0460  0.0440  0.0561  0.04
Lilamand 2001   64  0.4759  0.0064  0.0543  0.0548  0.0650  0.05
Luisada 1990   22  0.755  0.048  0.228  0.549  0.523  0.53
Luisada 2008   5  0.809  0.026  0.2011  0.519  0.602  0.55
Lushtak 2004   17  0.7713  0.0122  0.1622  0.3733  0.1217  0.21
Malcuzynski 1951   45  0.6910  0.0128  0.0927  0.2744  0.0530  0.12
Malcuzynski 1961   15  0.776  0.034  0.143  0.6222  0.316  0.44
Magaloff 1977   24  0.7420  0.0139  0.0542  0.0546  0.0740  0.06
Magin 1975   25  0.7421  0.0131  0.0830  0.1628  0.1721  0.16
Meguri 1997   42  0.7019  0.0142  0.0545  0.0540  0.0648  0.05
Milkina 1970   37  0.7156  0.0044  0.0454  0.0464  0.0365  0.03
Mohovich 1999   41  0.7117  0.0127  0.1128  0.2446  0.0629  0.12
Nezu 2005   3  0.828  0.025  0.154  0.5816  0.394  0.48
Ohlsson 1999   20  0.7514  0.0137  0.0547  0.0541  0.0547  0.05
Olejniczak 1990   50  0.6747  0.0057  0.0639  0.0656  0.0455  0.05
Osinska 1989   19  0.7661  0.0012  0.0912  0.5034  0.0916  0.21
Perlemuter 1992   61  0.6133  0.0062  0.0635  0.0643  0.0546  0.05
Poblocka 1999   4  0.8223  0.017  0.209  0.5328  0.2210  0.34
Rangell 2001   32  0.7251  0.0047  0.0834  0.0847  0.0542  0.06
Richter 1960   43  0.704  0.0416  0.1117  0.4217  0.378  0.39
Richter 1961   27  0.7338  0.0014  0.1415  0.4413  0.465  0.45
Rosen 1989   52  0.6644  0.0052  0.0462  0.0435  0.0651  0.05
Rubinstein 1939   30  0.7216  0.0133  0.0533  0.1061  0.0439  0.06
Rubinstein 1952   39  0.717  0.0330  0.0631  0.1343  0.0635  0.09
Rubinstein 1966   18  0.7654  0.0024  0.1123  0.3562  0.0428  0.12
Rudanovskaya 2007   60  0.6252  0.0059  0.0461  0.0451  0.0563  0.04
Shebanova 2002   23  0.7524  0.0125  0.1424  0.3554  0.0527  0.13
Smith 1975   47  0.6842  0.0051  0.0363  0.0344  0.0558  0.04
Sztompka 1959   58  0.6334  0.0060  0.0459  0.0456  0.0460  0.04
Tanyel 1992   51  0.6758  0.0049  0.0457  0.0442  0.0564  0.04
Tsujii 2005   11  0.7825  0.0118  0.1313  0.4659  0.0425  0.14
Uninsky 1959   29  0.7235  0.0036  0.0551  0.0548  0.0459  0.04
Vardi 1988   28  0.7353  0.0026  0.0826  0.3026  0.2115  0.25
Wasowski 1980   34  0.7226  0.0129  0.1129  0.2145  0.0631  0.11
Zimerman 1975   12  0.7845  0.0015  0.1119  0.4119  0.349  0.37
Average   1  0.843  0.102  0.211  0.7856  0.0518  0.20
Random 1   67  -0.0762  0.0066  0.0265  0.0230  0.1252  0.05
Random 2   65  -0.0163  0.0067  0.0167  0.0149  0.0466  0.02
Random 3   66  -0.0566  0.0065  0.0266  0.0256  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).