Vardi 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   20  0.7025  0.0027  0.0925  0.3128  0.2526  0.28
Ax 1995   13  0.7246  0.0012  0.0910  0.5329  0.2122  0.33
Bacha 1998   55  0.5721  0.0055  0.0562  0.0532  0.1053  0.07
Barbosa 1983   39  0.6411  0.0116  0.1119  0.3916  0.4515  0.42
BenOr 1989   45  0.6235  0.0035  0.0738  0.0727  0.3241  0.15
Biret 1990   17  0.7116  0.0014  0.0918  0.3911  0.6810  0.51
Brailowsky 1960   50  0.6026  0.0049  0.0740  0.0742  0.0751  0.07
Chiu 1999   40  0.6454  0.0043  0.0650  0.0618  0.4633  0.17
Clidat 1994   28  0.6841  0.0023  0.0923  0.3320  0.3720  0.35
Cohen 1997   59  0.5066  0.0059  0.0463  0.0419  0.3747  0.12
Cortot 1951   63  0.3748  0.0063  0.0651  0.0650  0.0463  0.05
Csalog 1996   31  0.6627  0.0037  0.1034  0.1012  0.4229  0.20
Czerny 1989   25  0.6844  0.0033  0.0742  0.0724  0.3043  0.14
Ezaki 2006   37  0.6549  0.0045  0.0649  0.0652  0.0656  0.06
Falvay 1989   3  0.776  0.053  0.283  0.7015  0.495  0.59
Fiorentino 1962   21  0.709  0.0117  0.1213  0.4723  0.4513  0.46
Fliere 1977   32  0.6643  0.0036  0.0835  0.0834  0.0850  0.08
Fou 1978   8  0.7315  0.018  0.196  0.5718  0.557  0.56
Francois 1956   43  0.6261  0.0040  0.0743  0.0721  0.3342  0.15
Goldenweiser 1946   61  0.4832  0.0062  0.0648  0.0643  0.0562  0.05
Gornostaeva 1994   62  0.4850  0.0057  0.0739  0.0736  0.0855  0.07
Groot 1988   14  0.728  0.0111  0.1317  0.409  0.4914  0.44
Hatto 1993   10  0.7257  0.0020  0.1015  0.4627  0.2323  0.33
Hatto 1997   9  0.7318  0.0019  0.0712  0.4827  0.2619  0.35
Horszowski 1983   56  0.5639  0.0058  0.0556  0.0518  0.2648  0.11
Indjic 2001   12  0.7219  0.0021  0.1514  0.4628  0.2224  0.32
Katin 1996   4  0.7510  0.016  0.205  0.638  0.672  0.65
Kiepura 1999   36  0.654  0.0810  0.1224  0.339  0.5116  0.41
Korecka 1992   60  0.4955  0.0061  0.0561  0.0535  0.0858  0.06
Kushner 1990   42  0.6337  0.0026  0.1028  0.2017  0.4925  0.31
Lilamand 2001   54  0.5858  0.0054  0.0652  0.0617  0.3244  0.14
Luisada 1990   53  0.5956  0.0053  0.0557  0.0543  0.0761  0.06
Luisada 2008   44  0.6222  0.0047  0.0645  0.0625  0.3145  0.14
Lushtak 2004   38  0.6533  0.0031  0.0732  0.1527  0.1837  0.16
Malcuzynski 1951   29  0.6738  0.0030  0.0730  0.1631  0.1936  0.17
Malcuzynski 1961   41  0.6324  0.0028  0.0927  0.2429  0.1928  0.21
Magaloff 1977   58  0.5151  0.0056  0.0560  0.0537  0.0860  0.06
Magin 1975   46  0.6252  0.0051  0.0653  0.0651  0.0657  0.06
Meguri 1997   35  0.6559  0.0038  0.1133  0.113  0.4527  0.22
Milkina 1970   6  0.745  0.065  0.204  0.6617  0.574  0.61
Mohovich 1999   30  0.6742  0.0034  0.0744  0.0739  0.0754  0.07
Nezu 2005   7  0.733  0.104  0.229  0.5515  0.578  0.56
Ohlsson 1999   23  0.6963  0.0032  0.0831  0.1530  0.2330  0.19
Olejniczak 1990   19  0.7020  0.0013  0.1016  0.4214  0.5312  0.47
Osinska 1989   2  0.772  0.182  0.351  0.829  0.671  0.74
Perlemuter 1992   57  0.5345  0.0060  0.0558  0.0558  0.0464  0.04
Poblocka 1999   16  0.7147  0.0022  0.1120  0.3825  0.3021  0.34
Rangell 2001   26  0.6829  0.0041  0.0741  0.0718  0.4732  0.18
Richter 1960   47  0.6130  0.0046  0.0654  0.0623  0.4039  0.15
Richter 1961   48  0.6114  0.0142  0.0647  0.0619  0.4038  0.15
Rosen 1989   34  0.6540  0.0039  0.0737  0.0721  0.3240  0.15
Rubinstein 1939   11  0.7217  0.007  0.207  0.5713  0.509  0.53
Rubinstein 1952   18  0.7123  0.0015  0.1011  0.4813  0.4811  0.48
Rubinstein 1966   24  0.6934  0.0025  0.1221  0.3515  0.4417  0.39
Rudanovskaya 2007   33  0.6631  0.0044  0.0559  0.057  0.5734  0.17
Shebanova 2002   15  0.7228  0.0024  0.0922  0.3416  0.4318  0.38
Smith 1975   51  0.6064  0.0048  0.0646  0.0633  0.0952  0.07
Sztompka 1959   49  0.6113  0.0152  0.0555  0.0534  0.0859  0.06
Tanyel 1992   27  0.687  0.0418  0.0826  0.3034  0.1035  0.17
Tsujii 2005   1  0.791  0.341  0.342  0.7417  0.543  0.63
Uninsky 1959   22  0.6936  0.0029  0.0929  0.1826  0.1831  0.18
Vardi 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   52  0.5953  0.0050  0.0736  0.0731  0.1649  0.11
Zimerman 1975   5  0.7512  0.019  0.208  0.568  0.596  0.57
Random 1   64  -0.0160  0.0064  0.0364  0.035  0.5346  0.13
Random 2   65  -0.0365  0.0065  0.0265  0.0255  0.0465  0.03
Random 3   66  -0.0362  0.0066  0.0166  0.0126  0.1266  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).