Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   26  0.7454  0.0032  0.0831  0.1536  0.0737  0.10
Ax 1995   8  0.805  0.057  0.217  0.5916  0.397  0.48
Bacha 1998   34  0.719  0.0310  0.0927  0.1825  0.3120  0.24
Barbosa 1983   23  0.752  0.155  0.235  0.623  0.572  0.59
BenOr 1989   35  0.7114  0.0116  0.0724  0.225  0.5016  0.33
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Brailowsky 1960   27  0.7439  0.0030  0.0630  0.1616  0.2822  0.21
Chiu 1999   46  0.6726  0.0051  0.0642  0.0631  0.1438  0.09
Clidat 1994   31  0.7213  0.0139  0.0735  0.0744  0.0644  0.06
Cohen 1997   62  0.5064  0.0062  0.0555  0.0558  0.0461  0.04
Cortot 1951   63  0.4440  0.0063  0.0546  0.0548  0.0553  0.05
Csalog 1996   15  0.7732  0.0019  0.0723  0.2323  0.2719  0.25
Czerny 1989   43  0.6816  0.0126  0.0728  0.1731  0.1525  0.16
Ezaki 2006   11  0.7959  0.0024  0.0919  0.3435  0.0824  0.16
Falvay 1989   22  0.756  0.0413  0.0922  0.2857  0.0433  0.11
Fiorentino 1962   37  0.7045  0.0042  0.0550  0.0560  0.0462  0.04
Fliere 1977   41  0.6955  0.0044  0.0543  0.0563  0.0356  0.04
Fou 1978   14  0.7733  0.0018  0.0910  0.4724  0.2911  0.37
Francois 1956   61  0.5125  0.0061  0.0547  0.0552  0.0554  0.05
Goldenweiser 1946   59  0.5534  0.0053  0.0462  0.0415  0.4030  0.13
Gornostaeva 1994   60  0.5261  0.0059  0.0549  0.0556  0.0463  0.04
Groot 1988   32  0.7231  0.0041  0.0640  0.0650  0.0452  0.05
Hatto 1993   4  0.8257  0.004  0.233  0.6515  0.496  0.56
Hatto 1997   1  0.833  0.142  0.211  0.6814  0.523  0.59
Horszowski 1983   44  0.6849  0.0029  0.0725  0.226  0.4517  0.31
Indjic 2001   3  0.828  0.033  0.242  0.6714  0.514  0.58
Katin 1996   16  0.7615  0.0120  0.0715  0.3821  0.3512  0.36
Kiepura 1999   47  0.6648  0.0043  0.0552  0.058  0.4128  0.14
Korecka 1992   45  0.6758  0.0055  0.0459  0.0420  0.3235  0.11
Kushner 1990   33  0.7223  0.0031  0.0632  0.136  0.4021  0.23
Lilamand 2001   48  0.6653  0.0034  0.0637  0.0639  0.0547  0.05
Luisada 1990   49  0.6637  0.0048  0.0551  0.0541  0.0648  0.05
Luisada 2008   42  0.6941  0.0047  0.0461  0.0432  0.1341  0.07
Lushtak 2004   24  0.7544  0.0036  0.0636  0.0657  0.0550  0.05
Malcuzynski 1951   12  0.7943  0.0012  0.0913  0.4233  0.1123  0.21
Malcuzynski 1961   19  0.7535  0.0015  0.0914  0.3925  0.1718  0.26
Magaloff 1977   50  0.6520  0.0145  0.0557  0.0537  0.0743  0.06
Magin 1975   2  0.8311  0.036  0.254  0.624  0.631  0.62
Meguri 1997   55  0.6151  0.0050  0.0554  0.0538  0.0646  0.05
Milkina 1970   30  0.7230  0.0027  0.0626  0.2032  0.1326  0.16
Mohovich 1999   29  0.7352  0.0022  0.0721  0.3035  0.0632  0.13
Nezu 2005   9  0.804  0.108  0.199  0.5222  0.299  0.39
Ohlsson 1999   38  0.7047  0.0049  0.0548  0.0541  0.0645  0.05
Olejniczak 1990   6  0.801  0.191  0.196  0.605  0.565  0.58
Osinska 1989   5  0.8112  0.029  0.148  0.5626  0.308  0.41
Perlemuter 1992   56  0.6060  0.0058  0.0556  0.0526  0.2036  0.10
Poblocka 1999   17  0.7622  0.0035  0.0544  0.0563  0.0457  0.04
Rangell 2001   7  0.8042  0.0014  0.1112  0.4323  0.2814  0.35
Richter 1960   57  0.5962  0.0052  0.0460  0.0444  0.0560  0.04
Richter 1961   54  0.6221  0.0146  0.0545  0.0554  0.0458  0.04
Rosen 1989   52  0.6436  0.0056  0.0463  0.0441  0.0651  0.05
Rubinstein 1939   39  0.7018  0.0128  0.0729  0.1737  0.0734  0.11
Rubinstein 1952   28  0.747  0.0321  0.0718  0.3616  0.4310  0.39
Rubinstein 1966   40  0.7029  0.0040  0.0641  0.0633  0.1139  0.08
Rudanovskaya 2007   58  0.5828  0.0060  0.0638  0.0662  0.0449  0.05
Shebanova 2002   25  0.7446  0.0025  0.0820  0.3244  0.0629  0.14
Smith 1975   51  0.6556  0.0054  0.0553  0.0551  0.0459  0.04
Sztompka 1959   36  0.7119  0.0133  0.0639  0.0615  0.4327  0.16
Tanyel 1992   13  0.7910  0.0311  0.1111  0.4621  0.2813  0.36
Tsujii 2005   10  0.7924  0.0023  0.0716  0.3656  0.0531  0.13
Uninsky 1959   21  0.7538  0.0017  0.1017  0.3617  0.3115  0.33
Vardi 1988   20  0.7517  0.0138  0.0833  0.0841  0.0640  0.07
Wasowski 1980   53  0.6350  0.0057  0.0458  0.0459  0.0455  0.04
Zimerman 1975   18  0.7527  0.0037  0.0734  0.0734  0.0842  0.07
Random 1   64  -0.0563  0.0065  0.0264  0.0247  0.0464  0.03
Random 2   65  -0.0965  0.0064  0.0265  0.0255  0.0365  0.02
Random 3   66  -0.1666  0.0066  0.0166  0.0144  0.0566  0.02

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).