Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   8  0.8120  0.019  0.146  0.5145  0.0624  0.17
Ax 1995   20  0.7728  0.0029  0.0727  0.2529  0.2120  0.23
Bacha 1998   55  0.6748  0.0050  0.0541  0.0556  0.0457  0.04
Barbosa 1983   62  0.6032  0.0056  0.0359  0.0352  0.0563  0.04
BenOr 1989   38  0.7214  0.0122  0.0914  0.3920  0.2814  0.33
Biret 1990   4  0.8125  0.0015  0.099  0.4721  0.2812  0.36
Brailowsky 1960   31  0.7437  0.0039  0.0640  0.0632  0.1433  0.09
Chiu 1999   57  0.6627  0.0055  0.0456  0.0462  0.0556  0.04
Clidat 1994   26  0.7521  0.0127  0.0726  0.2631  0.1722  0.21
Cohen 1997   54  0.6811  0.0234  0.0735  0.078  0.5323  0.19
Cortot 1951   63  0.5863  0.0062  0.0455  0.0429  0.1443  0.07
Csalog 1996   3  0.8426  0.006  0.138  0.4810  0.465  0.47
Czerny 1989   58  0.6660  0.0061  0.0457  0.0460  0.0458  0.04
Ezaki 2006   9  0.8012  0.0223  0.0921  0.3026  0.2517  0.27
Falvay 1989   22  0.778  0.0420  0.1125  0.2640  0.0630  0.12
Fiorentino 1962   14  0.7913  0.0118  0.1411  0.4530  0.1519  0.26
Fliere 1977   11  0.8016  0.0119  0.1117  0.3342  0.0627  0.14
Fou 1978   44  0.7151  0.0037  0.0736  0.0751  0.0544  0.06
Francois 1956   59  0.6461  0.0063  0.0638  0.0656  0.0454  0.05
Goldenweiser 1946   53  0.6864  0.0033  0.0542  0.056  0.4625  0.15
Gornostaeva 1994   56  0.6647  0.0048  0.0543  0.0535  0.0747  0.06
Groot 1988   25  0.7636  0.0025  0.0832  0.1846  0.0537  0.09
Hatto 1993   36  0.7341  0.0040  0.0545  0.0550  0.0652  0.05
Hatto 1997   37  0.7334  0.0042  0.0933  0.0932  0.0936  0.09
Horszowski 1983   40  0.7244  0.0035  0.0734  0.0721  0.1929  0.12
Indjic 2001   35  0.7340  0.0041  0.0639  0.0649  0.0646  0.06
Katin 1996   39  0.7257  0.0054  0.0458  0.0444  0.0560  0.04
Kiepura 1999   60  0.6354  0.0060  0.0361  0.0336  0.0655  0.04
Korecka 1992   49  0.7056  0.0051  0.0551  0.0539  0.0649  0.05
Kushner 1990   27  0.7524  0.0013  0.1016  0.378  0.456  0.41
Lilamand 2001   21  0.777  0.0514  0.1018  0.339  0.507  0.41
Luisada 1990   33  0.7446  0.0026  0.0922  0.2835  0.0628  0.13
Luisada 2008   48  0.7050  0.0036  0.0637  0.0660  0.0451  0.05
Lushtak 2004   10  0.804  0.094  0.162  0.688  0.691  0.68
Malcuzynski 1951   24  0.7655  0.0016  0.1124  0.2721  0.1921  0.23
Malcuzynski 1961   18  0.7833  0.007  0.1412  0.4123  0.2813  0.34
Magaloff 1977   46  0.7115  0.0146  0.0546  0.0537  0.0942  0.07
Magin 1975   16  0.799  0.0321  0.1020  0.3124  0.2616  0.28
Meguri 1997   50  0.693  0.105  0.1519  0.3221  0.2118  0.26
Milkina 1970   28  0.7545  0.0031  0.0731  0.1851  0.0438  0.08
Mohovich 1999   12  0.7910  0.0211  0.1010  0.4722  0.3210  0.39
Nezu 2005   19  0.785  0.0810  0.114  0.5820  0.298  0.41
Ohlsson 1999   32  0.7430  0.0053  0.0454  0.0458  0.0462  0.04
Olejniczak 1990   6  0.816  0.063  0.145  0.526  0.573  0.54
Osinska 1989   2  0.861  0.271  0.263  0.6217  0.414  0.50
Perlemuter 1992   45  0.7152  0.0059  0.0363  0.0362  0.0464  0.03
Poblocka 1999   17  0.7953  0.0017  0.1015  0.3748  0.0626  0.15
Rangell 2001   5  0.8123  0.008  0.127  0.494  0.662  0.57
Richter 1960   52  0.6829  0.0047  0.0549  0.0528  0.1635  0.09
Richter 1961   61  0.6219  0.0149  0.0547  0.0527  0.1834  0.09
Rosen 1989   7  0.8118  0.0112  0.0913  0.4011  0.439  0.41
Rubinstein 1939   42  0.7158  0.0044  0.0548  0.0555  0.0548  0.05
Rubinstein 1952   43  0.7135  0.0038  0.0550  0.0546  0.0553  0.05
Rubinstein 1966   34  0.7338  0.0043  0.0552  0.0558  0.0550  0.05
Rudanovskaya 2007   47  0.7131  0.0057  0.0362  0.0330  0.1345  0.06
Shebanova 2002   23  0.7649  0.0028  0.0728  0.2363  0.0432  0.10
Smith 1975   13  0.7943  0.0024  0.0723  0.2817  0.3515  0.31
Sztompka 1959   41  0.7259  0.0058  0.0360  0.0339  0.0661  0.04
Tanyel 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tsujii 2005   1  0.862  0.122  0.271  0.6926  0.2111  0.38
Uninsky 1959   15  0.7939  0.0032  0.1030  0.1859  0.0439  0.08
Vardi 1988   51  0.6942  0.0052  0.0453  0.0461  0.0459  0.04
Wasowski 1980   29  0.7522  0.0130  0.0829  0.2046  0.0631  0.11
Zimerman 1975   30  0.7517  0.0145  0.0544  0.0531  0.1241  0.08
Random 1   66  -0.1066  0.0065  0.0265  0.0243  0.0465  0.03
Random 2   65  -0.0465  0.0066  0.0166  0.0154  0.0366  0.02
Random 3   64  0.0162  0.0064  0.0364  0.0323  0.1940  0.08

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).