Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   16  0.6943  0.0014  0.0814  0.4429  0.2221  0.31
Ax 1995   29  0.6545  0.0032  0.0632  0.1230  0.2134  0.16
Bacha 1998   51  0.6148  0.0051  0.0551  0.0525  0.2147  0.10
Barbosa 1983   43  0.6350  0.0049  0.0559  0.0538  0.0858  0.06
BenOr 1989   33  0.6416  0.0031  0.0730  0.1651  0.0648  0.10
Biret 1990   37  0.6455  0.0047  0.0461  0.0440  0.0859  0.06
Brailowsky 1960   46  0.6261  0.0041  0.0552  0.0529  0.3041  0.12
Chiu 1999   57  0.5633  0.0054  0.0553  0.0532  0.1450  0.08
Clidat 1994   48  0.6253  0.0053  0.0740  0.0738  0.0753  0.07
Cohen 1997   64  0.3667  0.0064  0.0549  0.0556  0.0564  0.05
Cortot 1951   60  0.5414  0.0061  0.0556  0.056  0.4337  0.15
Csalog 1996   35  0.6462  0.0050  0.0550  0.0531  0.1749  0.09
Czerny 1989   38  0.6437  0.0029  0.0831  0.1620  0.3924  0.25
Ezaki 2006   30  0.6523  0.0035  0.0741  0.0722  0.4529  0.18
Falvay 1989   24  0.6639  0.0022  0.0820  0.3740  0.0832  0.17
Fiorentino 1962   21  0.6757  0.0028  0.1021  0.3031  0.1825  0.23
Fliere 1977   12  0.7032  0.0015  0.0712  0.4823  0.3413  0.40
Fou 1978   25  0.6626  0.0024  0.0826  0.2639  0.0838  0.14
Francois 1956   39  0.6413  0.0039  0.0645  0.0612  0.4733  0.17
Goldenweiser 1946   55  0.5920  0.0052  0.0644  0.064  0.5730  0.18
Gornostaeva 1994   26  0.6629  0.0040  0.0646  0.0612  0.5331  0.18
Groot 1988   36  0.6418  0.0025  0.0828  0.2231  0.1928  0.20
Hatto 1993   9  0.7040  0.009  0.227  0.6230  0.2614  0.40
Hatto 1997   7  0.7122  0.006  0.216  0.6624  0.327  0.46
Horszowski 1983   61  0.5159  0.0059  0.0554  0.0551  0.0561  0.05
Indjic 2001   11  0.706  0.018  0.158  0.6029  0.2811  0.41
Katin 1996   41  0.6346  0.0042  0.0555  0.0539  0.0856  0.06
Kiepura 1999   54  0.5949  0.0058  0.0739  0.0740  0.0752  0.07
Korecka 1992   49  0.6252  0.0055  0.0548  0.0518  0.3739  0.14
Kushner 1990   32  0.6435  0.0043  0.0560  0.0534  0.1451  0.08
Lilamand 2001   56  0.588  0.0157  0.0643  0.0614  0.3836  0.15
Luisada 1990   22  0.6721  0.0021  0.0919  0.3921  0.4310  0.41
Luisada 2008   31  0.6519  0.0033  0.0633  0.1225  0.3726  0.21
Lushtak 2004   14  0.6924  0.0010  0.139  0.5919  0.435  0.50
Malcuzynski 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   1  0.831  0.571  0.562  0.892  0.861  0.87
Magaloff 1977   34  0.643  0.0311  0.0922  0.299  0.5315  0.39
Magin 1975   6  0.7115  0.0017  0.1016  0.4421  0.389  0.41
Meguri 1997   59  0.5411  0.0034  0.0738  0.0757  0.0557  0.06
Milkina 1970   28  0.6665  0.0020  0.0817  0.4028  0.3117  0.35
Mohovich 1999   42  0.6342  0.0037  0.0734  0.0723  0.2740  0.14
Nezu 2005   17  0.6817  0.0013  0.0815  0.4433  0.1523  0.26
Ohlsson 1999   15  0.699  0.0112  0.0818  0.4024  0.2918  0.34
Olejniczak 1990   40  0.6338  0.0038  0.0735  0.0750  0.0660  0.06
Osinska 1989   3  0.7810  0.013  0.523  0.8112  0.512  0.64
Perlemuter 1992   58  0.5536  0.0060  0.0557  0.0520  0.2046  0.10
Poblocka 1999   13  0.7034  0.0018  0.1213  0.4430  0.2419  0.32
Rangell 2001   52  0.6147  0.0045  0.0464  0.0426  0.2945  0.11
Richter 1960   50  0.6160  0.0048  0.0463  0.0420  0.3044  0.11
Richter 1961   63  0.5051  0.0062  0.0647  0.0654  0.0562  0.05
Rosen 1989   27  0.6627  0.0019  0.0923  0.2818  0.4616  0.36
Rubinstein 1939   8  0.7131  0.007  0.2010  0.5421  0.436  0.48
Rubinstein 1952   4  0.727  0.015  0.215  0.6814  0.513  0.59
Rubinstein 1966   18  0.6844  0.0016  0.0911  0.5131  0.1920  0.31
Rudanovskaya 2007   62  0.5054  0.0063  0.0737  0.0761  0.0463  0.05
Shebanova 2002   23  0.6741  0.0026  0.0825  0.2730  0.1727  0.21
Smith 1975   47  0.625  0.0123  0.0829  0.2017  0.4622  0.30
Sztompka 1959   44  0.6312  0.0044  0.0558  0.0520  0.4635  0.15
Tanyel 1992   19  0.6825  0.0036  0.0736  0.0728  0.2242  0.12
Tsujii 2005   5  0.724  0.014  0.204  0.6926  0.278  0.43
Uninsky 1959   20  0.6730  0.0030  0.0727  0.2247  0.0643  0.11
Vardi 1988   53  0.6056  0.0056  0.0642  0.0644  0.0655  0.06
Wasowski 1980   10  0.7028  0.0027  0.0824  0.2812  0.5612  0.40
Zimerman 1975   45  0.6258  0.0046  0.0462  0.0455  0.0665  0.05
Average   2  0.802  0.292  0.781  0.9029  0.384  0.58
Random 1   67  -0.0363  0.0066  0.0266  0.0218  0.2654  0.07
Random 2   66  -0.0264  0.0067  0.0167  0.0146  0.0567  0.02
Random 3   65  0.0066  0.0065  0.0265  0.0236  0.0566  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).