Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   4  0.8326  0.005  0.147  0.5812  0.459  0.51
Ax 1995   35  0.7440  0.0038  0.0643  0.0631  0.1952  0.11
Bacha 1998   22  0.7731  0.0023  0.0722  0.313  0.6214  0.44
Barbosa 1983   27  0.765  0.0316  0.0827  0.248  0.5223  0.35
BenOr 1989   34  0.7427  0.0036  0.0639  0.067  0.4937  0.17
Biret 1990   14  0.7836  0.0027  0.0920  0.3418  0.3526  0.34
Brailowsky 1960   41  0.7230  0.0033  0.0733  0.139  0.4333  0.24
Chiu 1999   48  0.6815  0.0143  0.0462  0.0428  0.1755  0.08
Clidat 1994   24  0.7722  0.0032  0.1028  0.2219  0.4428  0.31
Cohen 1997   64  0.5562  0.0064  0.0550  0.0541  0.0662  0.05
Cortot 1951   55  0.6559  0.0061  0.0464  0.0411  0.4048  0.13
Csalog 1996   37  0.7352  0.0046  0.0638  0.0624  0.3243  0.14
Czerny 1989   46  0.6929  0.0041  0.0640  0.0613  0.4239  0.16
Ezaki 2006   40  0.7341  0.0042  0.0642  0.0622  0.3740  0.15
Falvay 1989   28  0.7612  0.0115  0.1014  0.4316  0.4416  0.43
Fiorentino 1962   25  0.7619  0.0129  0.0629  0.2124  0.2932  0.25
Fliere 1977   8  0.809  0.0112  0.1315  0.3914  0.3719  0.38
Fou 1978   23  0.7717  0.0124  0.0730  0.2021  0.3331  0.26
Francois 1956   57  0.6318  0.0160  0.0460  0.0448  0.0665  0.05
Goldenweiser 1946   63  0.5628  0.0057  0.0554  0.0513  0.3942  0.14
Gornostaeva 1994   21  0.7710  0.0130  0.0732  0.1710  0.5229  0.30
Groot 1988   50  0.6844  0.0048  0.0549  0.0548  0.0564  0.05
Hatto 1993   10  0.7914  0.016  0.184  0.667  0.615  0.63
Hatto 1997   11  0.794  0.034  0.205  0.667  0.623  0.64
Horszowski 1983   56  0.6343  0.0047  0.0556  0.055  0.4441  0.15
Indjic 2001   12  0.7923  0.007  0.286  0.657  0.624  0.63
Katin 1996   42  0.7264  0.0050  0.0553  0.0535  0.0857  0.06
Kiepura 1999   54  0.6558  0.0062  0.0558  0.0540  0.0558  0.05
Korecka 1992   38  0.7366  0.0051  0.0644  0.0610  0.5334  0.18
Kushner 1990   26  0.7648  0.0031  0.0731  0.195  0.5227  0.31
Lilamand 2001   59  0.6235  0.0056  0.0463  0.0420  0.4047  0.13
Luisada 1990   45  0.7160  0.0017  0.0825  0.2612  0.4724  0.35
Luisada 2008   29  0.7556  0.0020  0.0717  0.3511  0.5912  0.45
Lushtak 2004   19  0.7850  0.0022  0.0719  0.3514  0.5117  0.42
Malcuzynski 1951   1  0.872  0.162  0.402  0.702  0.761  0.73
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1977   36  0.7346  0.0037  0.0548  0.0516  0.3844  0.14
Magin 1975   7  0.817  0.0114  0.1211  0.458  0.597  0.52
Meguri 1997   60  0.6153  0.0049  0.0555  0.0555  0.0560  0.05
Milkina 1970   32  0.7447  0.0018  0.0918  0.3517  0.4718  0.41
Mohovich 1999   44  0.716  0.0213  0.1212  0.456  0.5211  0.48
Nezu 2005   5  0.8213  0.018  0.1710  0.5112  0.4710  0.49
Ohlsson 1999   30  0.7437  0.0035  0.0736  0.0718  0.4336  0.17
Olejniczak 1990   33  0.7420  0.0034  0.0834  0.0816  0.3738  0.17
Osinska 1989   3  0.853  0.033  0.263  0.688  0.516  0.59
Perlemuter 1992   61  0.5949  0.0058  0.0551  0.0527  0.1953  0.10
Poblocka 1999   6  0.8125  0.0011  0.128  0.5216  0.3813  0.44
Rangell 2001   39  0.7345  0.0045  0.0559  0.0519  0.4146  0.14
Richter 1960   52  0.6657  0.0053  0.0641  0.0624  0.2150  0.11
Richter 1961   58  0.6339  0.0055  0.0547  0.0529  0.1454  0.08
Rosen 1989   49  0.6821  0.0052  0.0646  0.0619  0.3145  0.14
Rubinstein 1939   43  0.7234  0.0040  0.0552  0.0535  0.0856  0.06
Rubinstein 1952   16  0.788  0.0119  0.0721  0.3417  0.4321  0.38
Rubinstein 1966   17  0.7833  0.0026  0.0723  0.3026  0.2830  0.29
Rudanovskaya 2007   62  0.5855  0.0063  0.0557  0.0540  0.0561  0.05
Shebanova 2002   20  0.7716  0.019  0.159  0.5210  0.518  0.51
Smith 1975   51  0.6832  0.0044  0.0461  0.0416  0.3849  0.12
Sztompka 1959   47  0.6963  0.0054  0.0735  0.0718  0.4035  0.17
Tanyel 1992   15  0.7851  0.0028  0.0724  0.2813  0.4125  0.34
Tsujii 2005   13  0.7811  0.0110  0.1613  0.4314  0.3420  0.38
Uninsky 1959   18  0.7838  0.0021  0.0916  0.3912  0.5015  0.44
Vardi 1988   53  0.6654  0.0059  0.0645  0.0657  0.0459  0.05
Wasowski 1980   9  0.7924  0.0025  0.0926  0.245  0.5722  0.37
Zimerman 1975   31  0.7442  0.0039  0.0637  0.0646  0.0563  0.05
Average   2  0.861  0.571  0.561  0.8112  0.502  0.64
Random 1   65  -0.0161  0.0065  0.0265  0.021  0.6151  0.11
Random 2   66  -0.0165  0.0067  0.0167  0.0134  0.0766  0.03
Random 3   67  -0.0367  0.0066  0.0266  0.0255  0.0367  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).