Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   33  0.7146  0.0016  0.1417  0.4927  0.3324  0.40
Ax 1995   34  0.7141  0.0032  0.0929  0.2122  0.3531  0.27
Bacha 1998   36  0.7030  0.0033  0.0833  0.1612  0.5329  0.29
Barbosa 1983   57  0.6231  0.0047  0.0841  0.0837  0.0853  0.08
BenOr 1989   28  0.7236  0.0028  0.1427  0.3518  0.5320  0.43
Biret 1990   18  0.7321  0.0013  0.1118  0.4820  0.4916  0.48
Brailowsky 1960   41  0.6950  0.0041  0.1632  0.1614  0.5428  0.29
Chiu 1999   45  0.6742  0.0055  0.0656  0.0631  0.1452  0.09
Clidat 1994   29  0.7144  0.0024  0.0828  0.3119  0.5123  0.40
Cohen 1997   62  0.5664  0.0062  0.0463  0.0412  0.4947  0.14
Cortot 1951   61  0.5632  0.0061  0.0364  0.035  0.4451  0.11
Csalog 1996   20  0.7339  0.0035  0.0843  0.0817  0.4738  0.19
Czerny 1989   51  0.6538  0.0050  0.0939  0.0957  0.0555  0.07
Ezaki 2006   21  0.7314  0.0037  0.1038  0.1021  0.4935  0.22
Falvay 1989   5  0.782  0.023  0.303  0.7511  0.506  0.61
Fiorentino 1962   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   11  0.7525  0.0017  0.1115  0.5213  0.4913  0.50
Fou 1978   32  0.7118  0.0020  0.1020  0.4526  0.3225  0.38
Francois 1956   52  0.6548  0.0052  0.0755  0.0719  0.3842  0.16
Goldenweiser 1946   64  0.5162  0.0064  0.0659  0.0654  0.0563  0.05
Gornostaeva 1994   50  0.6628  0.0042  0.0745  0.0710  0.5637  0.20
Groot 1988   8  0.7616  0.008  0.269  0.587  0.589  0.58
Hatto 1993   14  0.7517  0.0014  0.1010  0.5823  0.3419  0.44
Hatto 1997   22  0.7361  0.0025  0.1025  0.4038  0.0939  0.19
Horszowski 1983   60  0.5755  0.0060  0.0560  0.0545  0.0562  0.05
Indjic 2001   13  0.7534  0.0015  0.1211  0.5723  0.3418  0.44
Katin 1996   4  0.789  0.006  0.255  0.706  0.662  0.68
Kiepura 1999   42  0.685  0.0131  0.0730  0.182  0.7826  0.37
Korecka 1992   55  0.6323  0.0057  0.0748  0.0730  0.1949  0.12
Kushner 1990   58  0.6259  0.0048  0.0658  0.0638  0.0759  0.06
Lilamand 2001   63  0.5651  0.0063  0.0462  0.0440  0.0860  0.06
Luisada 1990   35  0.7047  0.0039  0.1136  0.1128  0.3440  0.19
Luisada 2008   40  0.6953  0.0045  0.0754  0.0727  0.3344  0.15
Lushtak 2004   7  0.783  0.015  0.198  0.617  0.713  0.66
Malcuzynski 1951   44  0.6722  0.0030  0.0731  0.1821  0.3034  0.23
Malcuzynski 1961   27  0.7219  0.009  0.1814  0.5223  0.3421  0.42
Magaloff 1977   43  0.6845  0.0044  0.0749  0.0720  0.2745  0.14
Magin 1975   39  0.6933  0.0046  0.0844  0.0846  0.0654  0.07
Meguri 1997   48  0.667  0.0129  0.0734  0.1514  0.3732  0.24
Milkina 1970   12  0.7524  0.0011  0.0912  0.5423  0.4912  0.51
Mohovich 1999   19  0.7327  0.0027  0.1421  0.4418  0.3922  0.41
Nezu 2005   17  0.7437  0.0022  0.0924  0.4026  0.2030  0.28
Ohlsson 1999   16  0.7420  0.0036  0.0842  0.0841  0.0757  0.07
Olejniczak 1990   15  0.748  0.0121  0.1026  0.3716  0.5517  0.45
Osinska 1989   3  0.7910  0.004  0.302  0.7911  0.525  0.64
Perlemuter 1992   59  0.6154  0.0059  0.0461  0.0439  0.0664  0.05
Poblocka 1999   10  0.7635  0.0012  0.1013  0.5320  0.4414  0.48
Rangell 2001   47  0.6757  0.0053  0.0751  0.0730  0.1850  0.11
Richter 1960   54  0.6563  0.0054  0.0753  0.0741  0.0758  0.07
Richter 1961   53  0.6558  0.0051  0.0747  0.0721  0.3541  0.16
Rosen 1989   24  0.7315  0.0038  0.1037  0.1016  0.5036  0.22
Rubinstein 1939   25  0.7229  0.0018  0.1116  0.5118  0.4615  0.48
Rubinstein 1952   31  0.7126  0.0026  0.1222  0.4328  0.2727  0.34
Rubinstein 1966   6  0.7812  0.007  0.236  0.6815  0.517  0.59
Rudanovskaya 2007   49  0.6656  0.0056  0.0750  0.0718  0.3046  0.14
Shebanova 2002   38  0.6911  0.0043  0.0657  0.0648  0.0661  0.06
Smith 1975   26  0.7243  0.0034  0.0940  0.099  0.6133  0.23
Sztompka 1959   56  0.6352  0.0058  0.0752  0.0743  0.0756  0.07
Tanyel 1992   23  0.734  0.0123  0.1119  0.468  0.6610  0.55
Tsujii 2005   2  0.7913  0.002  0.224  0.7315  0.478  0.59
Uninsky 1959   30  0.7149  0.0040  0.1335  0.1332  0.1843  0.15
Vardi 1988   37  0.7040  0.0019  0.1123  0.439  0.6511  0.53
Wasowski 1980   46  0.6760  0.0049  0.0746  0.0733  0.1948  0.12
Zimerman 1975   9  0.766  0.0110  0.207  0.638  0.684  0.65
Average   1  0.861  0.871  0.861  0.9522  0.521  0.70
Random 1   66  -0.0166  0.0066  0.0266  0.0246  0.0465  0.03
Random 2   67  -0.0267  0.0067  0.0167  0.0160  0.0367  0.02
Random 3   65  0.0065  0.0065  0.0365  0.0347  0.0466  0.03

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).