Barbosa 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   6  0.728  0.017  0.1210  0.5124  0.359  0.42
Ax 1995   14  0.6734  0.0022  0.1015  0.4746  0.0829  0.19
Bacha 1998   47  0.5543  0.0055  0.0460  0.0448  0.0566  0.04
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
BenOr 1989   15  0.6632  0.0036  0.0741  0.0732  0.2239  0.12
Biret 1990   12  0.6719  0.0018  0.0821  0.4125  0.477  0.44
Brailowsky 1960   44  0.5829  0.0048  0.1034  0.1047  0.0746  0.08
Chiu 1999   22  0.652  0.0513  0.0713  0.498  0.564  0.52
Clidat 1994   16  0.6647  0.0016  0.0812  0.5025  0.3211  0.40
Cohen 1997   55  0.4946  0.0060  0.0364  0.0316  0.4738  0.12
Cortot 1951   58  0.4811  0.0164  0.0652  0.0628  0.2141  0.11
Csalog 1996   41  0.5949  0.0044  0.0742  0.0733  0.1244  0.09
Czerny 1989   46  0.5640  0.0030  0.1329  0.2920  0.3617  0.32
Ezaki 2006   18  0.6639  0.0020  0.1225  0.3924  0.3813  0.38
Falvay 1989   23  0.6416  0.0012  0.1014  0.4852  0.0534  0.15
Fiorentino 1962   26  0.6420  0.0035  0.0740  0.0743  0.0853  0.07
Fliere 1977   40  0.6064  0.0049  0.0837  0.0849  0.0650  0.07
Fou 1978   2  0.743  0.043  0.144  0.6311  0.582  0.60
Francois 1956   43  0.5944  0.0047  0.0835  0.0838  0.1045  0.09
Goldenweiser 1946   64  0.2850  0.0063  0.0459  0.0456  0.0465  0.04
Gornostaeva 1994   17  0.6626  0.0046  0.0649  0.0617  0.3635  0.15
Groot 1988   48  0.5541  0.0043  0.0650  0.0633  0.1249  0.08
Hatto 1993   37  0.6065  0.0010  0.119  0.5236  0.0927  0.22
Hatto 1997   30  0.6228  0.008  0.146  0.5629  0.2515  0.37
Horszowski 1983   62  0.3752  0.0062  0.0553  0.0531  0.1543  0.09
Indjic 2001   33  0.6118  0.009  0.147  0.5631  0.2016  0.33
Katin 1996   11  0.6733  0.004  0.118  0.5418  0.495  0.51
Kiepura 1999   8  0.697  0.0233  0.0833  0.1516  0.4324  0.25
Korecka 1992   53  0.5125  0.0059  0.0462  0.0432  0.1847  0.08
Kushner 1990   19  0.6624  0.0041  0.0838  0.0830  0.2636  0.14
Lilamand 2001   57  0.4959  0.0053  0.0554  0.0522  0.2640  0.11
Luisada 1990   54  0.5045  0.0054  0.0457  0.0434  0.1059  0.06
Luisada 2008   49  0.5361  0.0056  0.0555  0.0545  0.0662  0.05
Lushtak 2004   25  0.6415  0.0024  0.0923  0.4129  0.1722  0.26
Malcuzynski 1951   7  0.7036  0.0027  0.1024  0.4035  0.0930  0.19
Malcuzynski 1961   4  0.7213  0.0126  0.1016  0.4643  0.0632  0.17
Magaloff 1977   39  0.605  0.0225  0.0930  0.289  0.5512  0.39
Magin 1975   35  0.6130  0.0034  0.0745  0.0727  0.2537  0.13
Meguri 1997   45  0.566  0.0214  0.0831  0.269  0.3919  0.32
Milkina 1970   34  0.6163  0.0028  0.0826  0.3347  0.0833  0.16
Mohovich 1999   51  0.5267  0.0037  0.0739  0.0754  0.0560  0.06
Nezu 2005   3  0.7322  0.006  0.145  0.6220  0.453  0.53
Ohlsson 1999   29  0.6260  0.0029  0.0927  0.3132  0.1925  0.24
Olejniczak 1990   36  0.6123  0.0031  0.1428  0.3029  0.2323  0.26
Osinska 1989   10  0.6817  0.0011  0.0911  0.5032  0.1621  0.28
Perlemuter 1992   63  0.3753  0.0061  0.0461  0.0435  0.0661  0.05
Poblocka 1999   32  0.6154  0.0038  0.0744  0.0761  0.0555  0.06
Rangell 2001   42  0.5935  0.0045  0.0648  0.0636  0.0954  0.07
Richter 1960   59  0.4827  0.0051  0.0743  0.0740  0.0658  0.06
Richter 1961   60  0.4642  0.0050  0.0746  0.0757  0.0556  0.06
Rosen 1989   56  0.4955  0.0057  0.0556  0.0549  0.0664  0.05
Rubinstein 1939   31  0.6138  0.0019  0.0920  0.4326  0.3214  0.37
Rubinstein 1952   5  0.7212  0.012  0.282  0.649  0.581  0.61
Rubinstein 1966   20  0.6556  0.0015  0.0818  0.4422  0.3810  0.41
Rudanovskaya 2007   61  0.4251  0.0058  0.0458  0.0443  0.0663  0.05
Shebanova 2002   38  0.6021  0.0023  0.1022  0.4125  0.2420  0.31
Smith 1975   52  0.5162  0.0052  0.0463  0.0440  0.0857  0.06
Sztompka 1959   50  0.529  0.0140  0.0647  0.0628  0.1842  0.10
Tanyel 1992   28  0.6348  0.0039  0.0836  0.0845  0.0751  0.07
Tsujii 2005   9  0.6914  0.015  0.143  0.6337  0.0728  0.21
Uninsky 1959   27  0.6331  0.0021  0.1019  0.4423  0.2418  0.32
Vardi 1988   24  0.6410  0.0117  0.0817  0.4520  0.398  0.42
Wasowski 1980   21  0.6537  0.0042  0.0651  0.0615  0.5131  0.17
Zimerman 1975   13  0.674  0.0332  0.1132  0.2433  0.2026  0.22
Average   1  0.771  0.691  0.681  0.8630  0.286  0.49
Random 1   67  -0.0557  0.0067  0.0167  0.0145  0.0467  0.02
Random 2   65  0.0158  0.0065  0.0266  0.0216  0.2948  0.08
Random 3   66  -0.0266  0.0066  0.0265  0.0221  0.2252  0.07

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).