Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   36  0.3721  0.0028  0.1227  0.2821  0.4526  0.35
Ax 1995   21  0.4414  0.0121  0.1024  0.3618  0.4522  0.40
Bacha 1998   48  0.3113  0.0132  0.0733  0.1513  0.4130  0.25
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
BenOr 1989   31  0.4038  0.0035  0.0746  0.0739  0.0851  0.07
Biret 1990   30  0.4029  0.0040  0.0747  0.0731  0.1541  0.10
Brailowsky 1960   54  0.2831  0.0051  0.0748  0.0731  0.1935  0.12
Chiu 1999   33  0.3825  0.0019  0.1421  0.4419  0.3620  0.40
Clidat 1994   4  0.493  0.089  0.1018  0.547  0.594  0.56
Cohen 1997   64  0.1158  0.0063  0.0363  0.0352  0.0466  0.03
Cortot 1951   44  0.3455  0.0047  0.0937  0.0913  0.3032  0.16
Csalog 1996   5  0.499  0.0111  0.112  0.6725  0.3417  0.48
Czerny 1989   8  0.4730  0.0020  0.1019  0.4625  0.3024  0.37
Ezaki 2006   6  0.495  0.0213  0.125  0.6217  0.4510  0.53
Falvay 1989   11  0.4626  0.0018  0.1610  0.6027  0.2323  0.37
Fiorentino 1962   17  0.457  0.0115  0.1314  0.5919  0.4315  0.50
Fliere 1977   43  0.3450  0.0036  0.0750  0.0723  0.2434  0.13
Fou 1978   9  0.4715  0.015  0.177  0.6114  0.4413  0.52
Francois 1956   62  0.1948  0.0062  0.0460  0.0444  0.0660  0.05
Goldenweiser 1946   15  0.4517  0.0016  0.1417  0.5410  0.5111  0.52
Gornostaeva 1994   27  0.4010  0.0133  0.0932  0.1714  0.5028  0.29
Groot 1988   34  0.3852  0.0039  0.0840  0.0837  0.0752  0.07
Hatto 1993   10  0.4653  0.007  0.136  0.6115  0.489  0.54
Hatto 1997   16  0.4512  0.014  0.138  0.6114  0.478  0.54
Horszowski 1983   14  0.4511  0.013  0.194  0.6311  0.602  0.61
Indjic 2001   19  0.4460  0.0014  0.1013  0.5917  0.4514  0.52
Katin 1996   25  0.4018  0.0026  0.0926  0.3328  0.2827  0.30
Kiepura 1999   26  0.4027  0.0023  0.1022  0.417  0.5716  0.48
Korecka 1992   23  0.4241  0.0027  0.0928  0.288  0.6719  0.43
Kushner 1990   50  0.3061  0.0050  0.0936  0.0952  0.0546  0.07
Lilamand 2001   51  0.3065  0.0046  0.0842  0.0847  0.0648  0.07
Luisada 1990   32  0.3849  0.0031  0.0729  0.2356  0.0539  0.11
Luisada 2008   55  0.2859  0.0054  0.0556  0.0539  0.0658  0.05
Lushtak 2004   28  0.4046  0.0038  0.0935  0.0943  0.0649  0.07
Malcuzynski 1951   57  0.2728  0.0055  0.0458  0.0436  0.0759  0.05
Malcuzynski 1961   3  0.502  0.192  0.4812  0.5914  0.507  0.54
Magaloff 1977   52  0.2966  0.0053  0.0554  0.0558  0.0461  0.04
Magin 1975   12  0.4643  0.008  0.1215  0.5714  0.4712  0.52
Meguri 1997   49  0.3156  0.0052  0.0751  0.0739  0.0747  0.07
Milkina 1970   35  0.3854  0.0037  0.0844  0.0825  0.1736  0.12
Mohovich 1999   13  0.4624  0.006  0.149  0.6017  0.525  0.56
Nezu 2005   53  0.2933  0.0057  0.0555  0.0557  0.0462  0.04
Ohlsson 1999   42  0.3539  0.0042  0.0749  0.0731  0.1738  0.11
Olejniczak 1990   39  0.376  0.0230  0.0730  0.1915  0.4029  0.28
Osinska 1989   45  0.3337  0.0048  0.0839  0.0835  0.0744  0.07
Perlemuter 1992   61  0.2164  0.0061  0.0362  0.0334  0.0755  0.05
Poblocka 1999   38  0.3735  0.0044  0.0843  0.0842  0.0645  0.07
Rangell 2001   59  0.2457  0.0060  0.0459  0.0459  0.0464  0.04
Richter 1960   40  0.3663  0.0043  0.0652  0.0644  0.0557  0.05
Richter 1961   7  0.4820  0.0012  0.113  0.668  0.591  0.62
Rosen 1989   60  0.2262  0.0059  0.0461  0.0451  0.0563  0.04
Rubinstein 1939   24  0.4144  0.0025  0.1025  0.3622  0.3525  0.35
Rubinstein 1952   47  0.3240  0.0045  0.1034  0.1034  0.0842  0.09
Rubinstein 1966   18  0.4422  0.0022  0.0920  0.4433  0.1431  0.25
Rudanovskaya 2007   46  0.3345  0.0049  0.0838  0.0828  0.1737  0.12
Shebanova 2002   37  0.3719  0.0041  0.0845  0.0850  0.0553  0.06
Smith 1975   56  0.2767  0.0056  0.0557  0.0554  0.0556  0.05
Sztompka 1959   20  0.4416  0.0017  0.1816  0.558  0.593  0.57
Tanyel 1992   58  0.2651  0.0058  0.0653  0.0634  0.1143  0.08
Tsujii 2005   29  0.4042  0.0029  0.1031  0.1842  0.0640  0.10
Uninsky 1959   41  0.3623  0.0034  0.0841  0.0826  0.2533  0.14
Vardi 1988   2  0.504  0.0210  0.1111  0.6016  0.506  0.55
Wasowski 1980   63  0.1447  0.0064  0.0364  0.0359  0.0365  0.03
Zimerman 1975   22  0.438  0.0124  0.1023  0.3721  0.4421  0.40
Average   1  0.521  0.541  0.531  0.9029  0.2218  0.44
Random 1   65  0.0432  0.0066  0.0265  0.0215  0.2650  0.07
Random 2   67  0.0036  0.0067  0.0167  0.0144  0.0467  0.02
Random 3   66  0.0334  0.0065  0.0266  0.0223  0.2154  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).