Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   59  -0.0230  0.0137  0.0439  0.0466  0.0239  0.03
Ax 1995   21  0.0113  0.0213  0.0828  0.1466  0.0226  0.05
Bacha 1998   62  -0.0331  0.0048  0.0352  0.0367  0.0146  0.02
Barbosa 1983   25  0.0054  0.0026  0.0719  0.2366  0.0216  0.07
BenOr 1989   42  0.0057  0.0044  0.0347  0.0367  0.0160  0.02
Biret 1990   2  0.053  0.067  0.108  0.4265  0.0212  0.09
Brailowsky 1960   54  -0.0163  0.0028  0.0529  0.1466  0.0224  0.05
Chiu 1999   58  -0.0248  0.0060  0.0262  0.0267  0.0163  0.01
Clidat 1994   44  0.0064  0.0055  0.0351  0.0367  0.0155  0.02
Cohen 1997   33  0.0025  0.0145  0.0349  0.0367  0.0159  0.02
Cortot 1951   1  0.061  0.241  0.243  0.4665  0.035  0.12
Csalog 1996   40  0.0027  0.0146  0.0357  0.0367  0.0150  0.02
Czerny 1989   16  0.0111  0.034  0.149  0.3966  0.029  0.09
Ezaki 2006   38  0.0053  0.0056  0.0353  0.0367  0.0140  0.02
Falvay 1989   24  0.0062  0.0053  0.0350  0.0366  0.0244  0.02
Fiorentino 1962   8  0.0349  0.0015  0.0714  0.3166  0.0214  0.08
Fliere 1977   51  -0.0132  0.0023  0.0522  0.2165  0.0221  0.06
Fou 1978   37  0.0050  0.0020  0.0615  0.2766  0.0215  0.07
Francois 1956   48  -0.0121  0.0133  0.0533  0.0966  0.0233  0.04
Goldenweiser 1946   64  -0.0341  0.0059  0.0359  0.0366  0.0241  0.02
Gornostaeva 1994   34  0.0029  0.0119  0.0616  0.2665  0.0219  0.07
Groot 1988   13  0.0217  0.0127  0.0625  0.1566  0.0227  0.05
Hatto 1993   41  0.0039  0.0029  0.0627  0.1466  0.0228  0.05
Hatto 1997   31  0.009  0.0414  0.0717  0.2565  0.0218  0.07
Horszowski 1983   12  0.0315  0.0216  0.0712  0.3267  0.0120  0.06
Indjic 2001   56  -0.0256  0.0031  0.0631  0.1067  0.0138  0.03
Katin 1996   17  0.0152  0.0039  0.0536  0.0566  0.0236  0.03
Kiepura 1999   6  0.038  0.046  0.095  0.4365  0.036  0.11
Korecka 1992   4  0.045  0.062  0.121  0.5165  0.033  0.12
Kushner 1990   27  0.0042  0.0041  0.0634  0.0667  0.0148  0.02
Lilamand 2001   22  0.0045  0.0038  0.0441  0.0467  0.0152  0.02
Luisada 1990   39  0.0037  0.0042  0.0438  0.0467  0.0156  0.02
Luisada 2008   67  -0.0566  0.0066  0.0266  0.0267  0.0166  0.01
Lushtak 2004   3  0.054  0.063  0.122  0.5165  0.034  0.12
Malcuzynski 1951   49  -0.0110  0.0317  0.0523  0.1766  0.0223  0.06
Malcuzynski 1961   20  0.0159  0.0030  0.0630  0.1367  0.0131  0.04
Magaloff 1977   11  0.0318  0.0110  0.106  0.4365  0.0211  0.09
Magin 1975   5  0.046  0.055  0.104  0.4665  0.032  0.12
Meguri 1997   30  0.0014  0.0234  0.0443  0.0467  0.0149  0.02
Milkina 1970   45  0.0033  0.0065  0.0265  0.0267  0.0164  0.01
Mohovich 1999   14  0.0126  0.0118  0.0513  0.3165  0.0213  0.08
Nezu 2005   66  -0.0561  0.0067  0.0167  0.0167  0.0167  0.01
Ohlsson 1999   53  -0.0128  0.0163  0.0263  0.0267  0.0165  0.01
Olejniczak 1990   7  0.0335  0.0011  0.0811  0.3765  0.038  0.11
Osinska 1989   28  0.0060  0.0054  0.0440  0.0466  0.0234  0.03
Perlemuter 1992   18  0.0120  0.0132  0.0532  0.1066  0.0230  0.04
Poblocka 1999   61  -0.0338  0.0062  0.0356  0.0367  0.0142  0.02
Rangell 2001   47  -0.0136  0.0057  0.0355  0.0366  0.0161  0.02
Richter 1960   29  0.0040  0.0024  0.0720  0.2366  0.0217  0.07
Richter 1961   63  -0.0344  0.0051  0.0346  0.0365  0.0243  0.02
Rosen 1989   35  0.0012  0.0325  0.0726  0.1566  0.0225  0.05
Rubinstein 1939   26  0.0019  0.0140  0.0537  0.0566  0.0235  0.03
Rubinstein 1952   19  0.0122  0.0122  0.0718  0.2367  0.0129  0.05
Rubinstein 1966   60  -0.0265  0.0061  0.0361  0.0367  0.0151  0.02
Rudanovskaya 2007   52  -0.0143  0.0058  0.0358  0.0366  0.0257  0.02
Shebanova 2002   50  -0.0158  0.0050  0.0360  0.0367  0.0154  0.02
Smith 1975   46  0.0034  0.0047  0.0345  0.0366  0.0245  0.02
Sztompka 1959   10  0.037  0.058  0.137  0.4265  0.037  0.11
Tanyel 1992   15  0.0124  0.0135  0.0535  0.0566  0.0237  0.03
Tsujii 2005   55  -0.0247  0.0036  0.0442  0.0467  0.0158  0.02
Uninsky 1959   32  0.0055  0.0043  0.0348  0.0367  0.0147  0.02
Vardi 1988   9  0.0316  0.029  0.0910  0.3866  0.0210  0.09
Wasowski 1980   65  -0.0446  0.0064  0.0264  0.0267  0.0162  0.01
Zimerman 1975   23  0.0051  0.0021  0.0621  0.2166  0.0222  0.06
Average   36  0.0067  0.0052  0.0444  0.0467  0.0153  0.02
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   43  0.0023  0.0149  0.0354  0.0338  0.0532  0.04
Random 3   57  -0.022  0.0712  0.0824  0.1533  0.111  0.13

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).