Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   38  0.6427  0.0020  0.0818  0.2943  0.0722  0.14
Ax 1995   35  0.6537  0.0029  0.0828  0.1745  0.0730  0.11
Bacha 1998   48  0.6122  0.0047  0.0559  0.0551  0.0555  0.05
Barbosa 1983   51  0.5942  0.0017  0.1215  0.3431  0.268  0.30
BenOr 1989   32  0.6533  0.0025  0.0622  0.2640  0.0725  0.13
Biret 1990   23  0.6645  0.0036  0.1134  0.1153  0.0544  0.07
Brailowsky 1960   42  0.6320  0.0043  0.0743  0.0738  0.0839  0.07
Chiu 1999   5  0.697  0.017  0.197  0.5710  0.581  0.57
Clidat 1994   46  0.6251  0.0044  0.1037  0.1053  0.0541  0.07
Cohen 1997   64  0.4266  0.0064  0.0557  0.0562  0.0467  0.04
Cortot 1951   63  0.4938  0.0063  0.0651  0.0650  0.0461  0.05
Csalog 1996   41  0.6331  0.0051  0.0556  0.0559  0.0558  0.05
Czerny 1989   34  0.6521  0.0026  0.0725  0.2037  0.0727  0.12
Ezaki 2006   16  0.6714  0.0022  0.0621  0.2733  0.2012  0.23
Falvay 1989   6  0.6925  0.0011  0.1311  0.4551  0.0619  0.16
Fiorentino 1962   10  0.6815  0.0015  0.0920  0.2749  0.0723  0.14
Fliere 1977   13  0.6818  0.0030  0.0829  0.1662  0.0434  0.08
Fou 1978   7  0.6916  0.005  0.325  0.6229  0.263  0.40
Francois 1956   33  0.655  0.0123  0.0623  0.239  0.545  0.35
Goldenweiser 1946   62  0.5217  0.0057  0.0563  0.0530  0.1733  0.09
Gornostaeva 1994   40  0.638  0.0128  0.0727  0.1717  0.479  0.28
Groot 1988   4  0.704  0.0213  0.1713  0.4435  0.0817  0.19
Hatto 1993   19  0.6759  0.0018  0.1016  0.3162  0.0431  0.11
Hatto 1997   24  0.6657  0.0031  0.0731  0.1636  0.0928  0.12
Horszowski 1983   56  0.5754  0.0053  0.0745  0.0741  0.0645  0.06
Indjic 2001   20  0.6667  0.0033  0.0632  0.1238  0.0932  0.10
Katin 1996   25  0.6656  0.0037  0.0742  0.0752  0.0548  0.06
Kiepura 1999   61  0.5334  0.0056  0.0650  0.0657  0.0553  0.05
Korecka 1992   57  0.5712  0.0060  0.0558  0.0560  0.0462  0.04
Kushner 1990   53  0.5943  0.0042  0.0747  0.0753  0.0457  0.05
Lilamand 2001   54  0.5829  0.0052  0.0653  0.0616  0.3721  0.15
Luisada 1990   31  0.6532  0.0021  0.0719  0.2945  0.0624  0.13
Luisada 2008   47  0.6239  0.0046  0.0560  0.0560  0.0464  0.04
Lushtak 2004   26  0.6626  0.0024  0.0630  0.1645  0.0729  0.11
Malcuzynski 1951   37  0.642  0.028  0.169  0.5322  0.294  0.39
Malcuzynski 1961   15  0.686  0.014  0.253  0.7131  0.137  0.30
Magaloff 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   36  0.6536  0.0039  0.0748  0.0744  0.0740  0.07
Meguri 1997   27  0.6535  0.0019  0.0824  0.2320  0.2810  0.25
Milkina 1970   14  0.6849  0.0010  0.1212  0.4538  0.0816  0.19
Mohovich 1999   50  0.6065  0.0054  0.0838  0.0863  0.0450  0.06
Nezu 2005   21  0.6653  0.0016  0.1014  0.4337  0.0915  0.20
Ohlsson 1999   17  0.6746  0.0035  0.1035  0.1047  0.0636  0.08
Olejniczak 1990   30  0.6547  0.0040  0.0744  0.0758  0.0552  0.06
Osinska 1989   43  0.6340  0.0038  0.0839  0.0855  0.0638  0.07
Perlemuter 1992   60  0.5561  0.0062  0.0652  0.0657  0.0454  0.05
Poblocka 1999   22  0.6628  0.0032  0.0633  0.1254  0.0635  0.08
Rangell 2001   44  0.6344  0.0050  0.0555  0.0538  0.0851  0.06
Richter 1960   49  0.6119  0.0049  0.0561  0.0552  0.0559  0.05
Richter 1961   58  0.5660  0.0059  0.0654  0.0645  0.0646  0.06
Rosen 1989   29  0.659  0.0145  0.1036  0.1049  0.0542  0.07
Rubinstein 1939   11  0.6824  0.009  0.138  0.5456  0.0520  0.16
Rubinstein 1952   8  0.6841  0.006  0.246  0.6136  0.0913  0.23
Rubinstein 1966   3  0.7113  0.003  0.254  0.6429  0.262  0.41
Rudanovskaya 2007   55  0.5848  0.0061  0.0746  0.0751  0.0549  0.06
Shebanova 2002   12  0.6823  0.0012  0.1410  0.4640  0.0718  0.18
Smith 1975   9  0.683  0.0214  0.1017  0.3027  0.306  0.30
Sztompka 1959   52  0.5958  0.0058  0.0464  0.0456  0.0563  0.04
Tanyel 1992   45  0.6211  0.0048  0.0562  0.0550  0.0660  0.05
Tsujii 2005   2  0.7410  0.002  0.242  0.7851  0.0614  0.22
Uninsky 1959   18  0.6752  0.0034  0.0840  0.0862  0.0447  0.06
Vardi 1988   59  0.5655  0.0055  0.0649  0.0656  0.0556  0.05
Wasowski 1980   39  0.6430  0.0027  0.0726  0.1738  0.0826  0.12
Zimerman 1975   28  0.6550  0.0041  0.0841  0.0838  0.0743  0.07
Average   1  0.781  0.831  0.811  0.9147  0.0711  0.25
Random 1   67  -0.0362  0.0067  0.0167  0.0130  0.1365  0.04
Random 2   66  0.0163  0.0066  0.0266  0.0213  0.3237  0.08
Random 3   65  0.0164  0.0065  0.0365  0.0335  0.0566  0.04

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).