Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ax 1995   41  0.7813  0.0131  0.0829  0.167  0.4428  0.27
Bacha 1998   42  0.7744  0.0048  0.0836  0.0813  0.4538  0.19
Barbosa 1983   45  0.7634  0.0044  0.0737  0.073  0.5735  0.20
BenOr 1989   52  0.7219  0.0155  0.0739  0.0723  0.2458  0.13
Biret 1990   20  0.8224  0.0134  0.0933  0.0913  0.4436  0.20
Brailowsky 1960   28  0.8017  0.0122  0.0732  0.136  0.4630  0.24
Chiu 1999   43  0.7725  0.0039  0.0551  0.054  0.6741  0.18
Clidat 1994   4  0.867  0.024  0.194  0.611  0.753  0.68
Cohen 1997   58  0.6862  0.0058  0.0462  0.044  0.6851  0.16
Cortot 1951   62  0.5953  0.0062  0.0555  0.0515  0.3359  0.13
Csalog 1996   26  0.8038  0.0038  0.0549  0.055  0.5349  0.16
Czerny 1989   55  0.7020  0.0151  0.0552  0.0522  0.3656  0.13
Ezaki 2006   18  0.8247  0.0026  0.0628  0.171  0.6423  0.33
Falvay 1989   21  0.8249  0.0016  0.0913  0.427  0.5616  0.48
Fiorentino 1962   3  0.872  0.143  0.178  0.554  0.686  0.61
Fliere 1977   1  0.894  0.092  0.262  0.661  0.712  0.68
Fou 1978   22  0.823  0.096  0.1317  0.384  0.6214  0.49
Francois 1956   49  0.7427  0.0054  0.0558  0.058  0.5352  0.16
Goldenweiser 1946   63  0.5059  0.0063  0.0547  0.0532  0.1164  0.07
Gornostaeva 1994   32  0.7950  0.0037  0.0550  0.052  0.6642  0.18
Groot 1988   35  0.7828  0.0028  0.0922  0.237  0.4825  0.33
Hatto 1993   24  0.8152  0.0025  0.0721  0.2515  0.3826  0.31
Hatto 1997   30  0.8033  0.0033  0.0835  0.0817  0.3350  0.16
Horszowski 1983   59  0.6766  0.0052  0.0559  0.0513  0.2460  0.11
Indjic 2001   29  0.8045  0.0032  0.0731  0.1415  0.3632  0.22
Katin 1996   10  0.8423  0.0115  0.1216  0.396  0.6613  0.51
Kiepura 1999   54  0.7137  0.0056  0.0461  0.0411  0.5154  0.14
Korecka 1992   51  0.7248  0.0057  0.0554  0.0510  0.4947  0.16
Kushner 1990   50  0.7246  0.0042  0.0548  0.0514  0.3357  0.13
Lilamand 2001   61  0.6540  0.0060  0.0557  0.0520  0.3955  0.14
Luisada 1990   47  0.7612  0.0129  0.0827  0.1810  0.4827  0.29
Luisada 2008   40  0.7810  0.0217  0.0923  0.2213  0.5821  0.36
Lushtak 2004   11  0.8422  0.0114  0.1015  0.395  0.7011  0.52
Malcuzynski 1951   27  0.8036  0.0024  0.0730  0.145  0.5129  0.27
Malcuzynski 1961   13  0.8330  0.0011  0.1311  0.456  0.5812  0.51
Magaloff 1977   34  0.7931  0.0047  0.0934  0.099  0.5033  0.21
Magin 1975   33  0.7960  0.0046  0.0740  0.0721  0.3546  0.16
Meguri 1997   57  0.686  0.0327  0.0625  0.1813  0.3331  0.24
Milkina 1970   16  0.829  0.025  0.189  0.483  0.698  0.58
Mohovich 1999   31  0.7914  0.0112  0.1414  0.423  0.5815  0.49
Nezu 2005   17  0.8258  0.0019  0.0812  0.446  0.5118  0.47
Ohlsson 1999   19  0.8257  0.0030  0.0924  0.209  0.5324  0.33
Olejniczak 1990   37  0.7818  0.0143  0.0738  0.0712  0.4940  0.19
Osinska 1989   6  0.865  0.037  0.163  0.621  0.654  0.63
Perlemuter 1992   60  0.6651  0.0061  0.0556  0.0527  0.1761  0.09
Poblocka 1999   5  0.8621  0.018  0.205  0.604  0.655  0.62
Rangell 2001   39  0.7856  0.0045  0.0741  0.077  0.6234  0.21
Richter 1960   36  0.7835  0.0036  0.0644  0.067  0.5839  0.19
Richter 1961   46  0.7629  0.0041  0.0642  0.066  0.6137  0.19
Rosen 1989   38  0.7854  0.0040  0.0643  0.065  0.5145  0.17
Rubinstein 1939   9  0.8416  0.0113  0.1510  0.476  0.6310  0.54
Rubinstein 1952   15  0.8255  0.0018  0.0820  0.2911  0.5220  0.39
Rubinstein 1966   7  0.8611  0.019  0.147  0.566  0.609  0.58
Rudanovskaya 2007   53  0.7139  0.0053  0.0560  0.056  0.5643  0.17
Shebanova 2002   8  0.8532  0.0010  0.166  0.582  0.607  0.59
Smith 1975   48  0.7442  0.0050  0.0553  0.0514  0.4353  0.15
Sztompka 1959   56  0.7061  0.0059  0.0463  0.0427  0.2162  0.09
Tanyel 1992   25  0.8126  0.0035  0.0645  0.066  0.5144  0.17
Tsujii 2005   2  0.881  0.361  0.351  0.711  0.681  0.69
Uninsky 1959   23  0.8115  0.0121  0.1018  0.348  0.5819  0.44
Vardi 1988   44  0.7743  0.0049  0.0646  0.0617  0.4548  0.16
Wasowski 1980   12  0.8341  0.0020  0.0919  0.322  0.7017  0.47
Zimerman 1975   14  0.838  0.0223  0.0826  0.182  0.6722  0.35
Random 1   66  -0.1563  0.0066  0.0166  0.0156  0.0366  0.02
Random 2   65  -0.0265  0.0065  0.0165  0.0158  0.0365  0.02
Random 3   64  0.0364  0.0064  0.0364  0.0318  0.2463  0.08

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).