Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   14  0.7127  0.007  0.1610  0.6124  0.3512  0.46
Ax 1995   21  0.7016  0.0022  0.0821  0.3528  0.2318  0.28
Bacha 1998   57  0.5854  0.0056  0.0462  0.0455  0.0562  0.04
Barbosa 1983   62  0.5630  0.0054  0.0556  0.0559  0.0557  0.05
BenOr 1989   23  0.697  0.0114  0.1112  0.5416  0.568  0.55
Biret 1990   3  0.756  0.014  0.186  0.708  0.653  0.67
Brailowsky 1960   43  0.6448  0.0046  0.0737  0.0754  0.0548  0.06
Chiu 1999   61  0.5649  0.0060  0.0460  0.0461  0.0461  0.04
Clidat 1994   38  0.6528  0.0030  0.0730  0.1345  0.0639  0.09
Cohen 1997   59  0.5825  0.0052  0.0554  0.055  0.6128  0.17
Cortot 1951   63  0.5147  0.0063  0.0648  0.0636  0.0655  0.06
Csalog 1996   9  0.7324  0.0013  0.1214  0.5213  0.4810  0.50
Czerny 1989   50  0.6146  0.0053  0.0461  0.0463  0.0463  0.04
Ezaki 2006   15  0.7110  0.0121  0.0923  0.3222  0.4117  0.36
Falvay 1989   7  0.745  0.056  0.164  0.7247  0.0721  0.22
Fiorentino 1962   10  0.7314  0.0010  0.197  0.6618  0.467  0.55
Fliere 1977   17  0.7115  0.0025  0.1224  0.2833  0.1226  0.18
Fou 1978   45  0.6443  0.0029  0.0629  0.1344  0.0836  0.10
Francois 1956   60  0.5861  0.0058  0.0459  0.0440  0.0660  0.05
Goldenweiser 1946   54  0.5955  0.0051  0.0552  0.0518  0.3031  0.12
Gornostaeva 1994   56  0.5835  0.0049  0.0650  0.0654  0.0559  0.05
Groot 1988   16  0.7123  0.0019  0.1417  0.4535  0.0825  0.19
Hatto 1993   32  0.6738  0.0034  0.0742  0.0748  0.0745  0.07
Hatto 1997   31  0.6726  0.0035  0.1033  0.1053  0.0642  0.08
Horszowski 1983   48  0.6118  0.0050  0.0555  0.0521  0.2634  0.11
Indjic 2001   30  0.6844  0.0032  0.0631  0.1248  0.0740  0.09
Katin 1996   33  0.6752  0.0040  0.0557  0.0544  0.0751  0.06
Kiepura 1999   55  0.5960  0.0055  0.0645  0.0646  0.0647  0.06
Korecka 1992   52  0.6059  0.0057  0.0458  0.0439  0.0850  0.06
Kushner 1990   42  0.6437  0.0027  0.0926  0.2325  0.2720  0.25
Lilamand 2001   37  0.6622  0.0036  0.0740  0.078  0.4923  0.19
Luisada 1990   22  0.6921  0.0018  0.1715  0.5123  0.4013  0.45
Luisada 2008   47  0.6251  0.0047  0.1034  0.1038  0.0838  0.09
Lushtak 2004   4  0.752  0.133  0.352  0.774  0.741  0.75
Malcuzynski 1951   29  0.6856  0.0024  0.0927  0.2235  0.0733  0.12
Malcuzynski 1961   20  0.7036  0.0015  0.1218  0.4449  0.0629  0.16
Magaloff 1977   46  0.6217  0.0048  0.0649  0.0661  0.0558  0.05
Magin 1975   13  0.7112  0.0120  0.1019  0.3632  0.1719  0.25
Meguri 1997   35  0.6613  0.0111  0.1622  0.358  0.5214  0.43
Milkina 1970   25  0.6839  0.0023  0.0820  0.3534  0.0927  0.18
Mohovich 1999   18  0.7011  0.0112  0.1116  0.5020  0.2916  0.38
Nezu 2005   11  0.728  0.019  0.215  0.7019  0.3411  0.49
Ohlsson 1999   24  0.6820  0.0044  0.0739  0.0749  0.0652  0.06
Olejniczak 1990   8  0.7334  0.008  0.189  0.6313  0.596  0.61
Osinska 1989   2  0.783  0.082  0.353  0.7422  0.389  0.53
Perlemuter 1992   53  0.6041  0.0062  0.0651  0.0628  0.1141  0.08
Poblocka 1999   27  0.6853  0.0033  0.0647  0.0652  0.0649  0.06
Rangell 2001   12  0.7240  0.0017  0.1513  0.522  0.775  0.63
Richter 1960   41  0.649  0.0143  0.0741  0.0728  0.2132  0.12
Richter 1961   58  0.5842  0.0045  0.0743  0.0727  0.2330  0.13
Rosen 1989   5  0.754  0.065  0.188  0.634  0.654  0.64
Rubinstein 1939   44  0.6458  0.0041  0.0553  0.0546  0.0656  0.05
Rubinstein 1952   40  0.6557  0.0039  0.0835  0.0856  0.0646  0.07
Rubinstein 1966   28  0.6819  0.0031  0.0632  0.1134  0.0837  0.09
Rudanovskaya 2007   49  0.6162  0.0059  0.0646  0.0635  0.0844  0.07
Shebanova 2002   34  0.6750  0.0038  0.0836  0.0862  0.0553  0.06
Smith 1975   26  0.6832  0.0028  0.0728  0.1728  0.2622  0.21
Sztompka 1959   51  0.6063  0.0061  0.0463  0.0451  0.0564  0.04
Tanyel 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tsujii 2005   1  0.801  0.551  0.541  0.857  0.572  0.70
Uninsky 1959   6  0.7429  0.0016  0.1211  0.5627  0.3115  0.42
Vardi 1988   39  0.6545  0.0042  0.0738  0.0732  0.1735  0.11
Wasowski 1980   36  0.6631  0.0037  0.0644  0.0638  0.0843  0.07
Zimerman 1975   19  0.7033  0.0026  0.1025  0.2532  0.1524  0.19
Random 1   66  -0.0364  0.0065  0.0265  0.0248  0.0465  0.03
Random 2   65  -0.0265  0.0066  0.0166  0.0160  0.0366  0.02
Random 3   64  0.0066  0.0064  0.0364  0.0331  0.1154  0.06

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).