Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   15  0.7754  0.0019  0.1818  0.4547  0.0622  0.16
Ax 1995   18  0.7612  0.0118  0.1513  0.5025  0.2613  0.36
Bacha 1998   33  0.7335  0.0028  0.0826  0.2126  0.3015  0.25
Barbosa 1983   60  0.6311  0.0236  0.0541  0.0556  0.0551  0.05
BenOr 1989   58  0.6352  0.0055  0.0545  0.0563  0.0463  0.04
Biret 1990   11  0.798  0.0215  0.1315  0.4834  0.0918  0.21
Brailowsky 1960   39  0.7040  0.0050  0.0548  0.0555  0.0459  0.04
Chiu 1999   47  0.6916  0.0153  0.0554  0.0549  0.0544  0.05
Clidat 1994   16  0.7633  0.0016  0.1312  0.5128  0.3110  0.40
Cohen 1997   61  0.6055  0.0057  0.0464  0.0428  0.2429  0.10
Cortot 1951   64  0.5058  0.0062  0.0463  0.0459  0.0465  0.04
Csalog 1996   40  0.7015  0.0151  0.0456  0.0459  0.0461  0.04
Czerny 1989   36  0.7236  0.0037  0.0734  0.0730  0.1230  0.09
Ezaki 2006   30  0.7459  0.0042  0.0638  0.0641  0.0541  0.05
Falvay 1989   3  0.812  0.193  0.2410  0.5420  0.396  0.46
Fiorentino 1962   7  0.806  0.035  0.166  0.5920  0.367  0.46
Fliere 1977   28  0.7463  0.0027  0.0728  0.1934  0.0627  0.11
Fou 1978   29  0.7439  0.0022  0.0922  0.2748  0.0525  0.12
Francois 1956   37  0.7214  0.0126  0.0727  0.2010  0.5014  0.32
Goldenweiser 1946   62  0.5341  0.0063  0.0458  0.0446  0.0643  0.05
Gornostaeva 1994   59  0.6343  0.0045  0.0547  0.0542  0.0657  0.05
Groot 1988   8  0.8017  0.019  0.1214  0.4819  0.3111  0.39
Hatto 1993   20  0.7648  0.0030  0.1224  0.2448  0.0626  0.12
Hatto 1997   23  0.7526  0.0031  0.0531  0.1448  0.0631  0.09
Horszowski 1983   54  0.6553  0.0056  0.0455  0.0450  0.0642  0.05
Indjic 2001   24  0.7534  0.0032  0.0732  0.1344  0.0632  0.09
Katin 1996   4  0.8118  0.0112  0.169  0.5726  0.424  0.49
Kiepura 1999   50  0.674  0.097  0.1420  0.377  0.548  0.45
Korecka 1992   53  0.6647  0.0059  0.0639  0.0657  0.0447  0.05
Kushner 1990   55  0.6520  0.0124  0.0829  0.1842  0.0433  0.08
Lilamand 2001   63  0.5328  0.0064  0.0540  0.0546  0.0652  0.05
Luisada 1990   35  0.7265  0.0038  0.0736  0.0749  0.0538  0.06
Luisada 2008   42  0.7032  0.0041  0.0637  0.0646  0.0553  0.05
Lushtak 2004   31  0.7460  0.0033  0.0533  0.1057  0.0439  0.06
Malcuzynski 1951   56  0.6566  0.0048  0.0460  0.0441  0.0566  0.04
Malcuzynski 1961   52  0.6651  0.0052  0.0457  0.0445  0.0649  0.05
Magaloff 1977   43  0.7057  0.0044  0.0550  0.0555  0.0555  0.05
Magin 1975   34  0.7213  0.0146  0.0459  0.0435  0.0646  0.05
Meguri 1997   45  0.7029  0.0043  0.0546  0.0546  0.0650  0.05
Milkina 1970   21  0.7524  0.0021  0.0821  0.3441  0.0723  0.15
Mohovich 1999   19  0.7619  0.0120  0.0919  0.4042  0.0624  0.15
Nezu 2005   14  0.7723  0.0010  0.1317  0.4636  0.0721  0.18
Ohlsson 1999   26  0.7556  0.0039  0.0735  0.0747  0.0537  0.06
Olejniczak 1990   32  0.7330  0.0025  0.0830  0.1661  0.0434  0.08
Osinska 1989   12  0.789  0.0214  0.194  0.6241  0.0620  0.19
Perlemuter 1992   57  0.6544  0.0061  0.0552  0.0559  0.0458  0.04
Poblocka 1999   6  0.8142  0.008  0.138  0.5740  0.0719  0.20
Rangell 2001   41  0.7046  0.0054  0.0544  0.0564  0.0364  0.04
Richter 1960   13  0.7725  0.0013  0.197  0.5811  0.552  0.56
Richter 1961   17  0.7650  0.0011  0.1211  0.5210  0.533  0.52
Rosen 1989   48  0.6937  0.0049  0.0553  0.0538  0.0656  0.05
Rubinstein 1939   5  0.813  0.144  0.282  0.6614  0.511  0.58
Rubinstein 1952   38  0.7131  0.0023  0.0723  0.2648  0.0528  0.11
Rubinstein 1966   9  0.797  0.036  0.235  0.6021  0.385  0.48
Rudanovskaya 2007   27  0.7522  0.0029  0.0925  0.249  0.5512  0.36
Shebanova 2002   25  0.7549  0.0035  0.0542  0.0549  0.0554  0.05
Smith 1975   49  0.6861  0.0058  0.0551  0.0549  0.0545  0.05
Sztompka 1959   51  0.6710  0.0260  0.0461  0.0450  0.0560  0.04
Tanyel 1992   46  0.6938  0.0047  0.0462  0.0454  0.0462  0.04
Tsujii 2005   2  0.835  0.082  0.213  0.6637  0.0816  0.23
Uninsky 1959   22  0.7527  0.0034  0.0549  0.0544  0.0548  0.05
Vardi 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   44  0.7045  0.0040  0.0543  0.0540  0.0736  0.06
Zimerman 1975   10  0.7921  0.0117  0.1716  0.4616  0.409  0.43
Average   1  0.841  0.221  0.221  0.7149  0.0617  0.21
Random 1   67  -0.0664  0.0066  0.0266  0.0219  0.2835  0.07
Random 2   66  -0.0567  0.0067  0.0167  0.0163  0.0367  0.02
Random 3   65  0.0162  0.0065  0.0365  0.0330  0.1340  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).