Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2936  0.0048  0.0647  0.0653  0.0550  0.05
Ax 1995   46  0.4313  0.0128  0.0927  0.2043  0.0828  0.13
Bacha 1998   30  0.485  0.0226  0.0829  0.1433  0.1525  0.14
Barbosa 1983   58  0.3618  0.0042  0.0557  0.0560  0.0457  0.04
BenOr 1989   34  0.4763  0.0047  0.0736  0.0758  0.0451  0.05
Biret 1990   36  0.474  0.0211  0.1023  0.3048  0.0629  0.13
Brailowsky 1960   4  0.573  0.112  0.522  0.795  0.701  0.74
Chiu 1999   28  0.4820  0.0044  0.0554  0.0542  0.0645  0.05
Clidat 1994   41  0.459  0.0115  0.0824  0.2733  0.1119  0.17
Cohen 1997   63  0.2928  0.0064  0.0551  0.0564  0.0362  0.04
Cortot 1951   53  0.4254  0.0059  0.0460  0.0458  0.0466  0.04
Csalog 1996   24  0.5035  0.0027  0.0821  0.3355  0.0527  0.13
Czerny 1989   49  0.4351  0.0035  0.0648  0.0660  0.0447  0.05
Ezaki 2006   35  0.4747  0.0024  0.1122  0.3247  0.0624  0.14
Falvay 1989   18  0.5158  0.0017  0.0814  0.4148  0.0621  0.16
Fiorentino 1962   31  0.4819  0.0040  0.0835  0.0858  0.0541  0.06
Fliere 1977   23  0.506  0.0219  0.0825  0.2433  0.1414  0.18
Fou 1978   29  0.4815  0.0139  0.0739  0.0757  0.0446  0.05
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Goldenweiser 1946   47  0.4334  0.0054  0.0742  0.0762  0.0444  0.05
Gornostaeva 1994   60  0.3439  0.0060  0.0363  0.0349  0.0564  0.04
Groot 1988   26  0.497  0.0125  0.0926  0.2461  0.0432  0.10
Hatto 1993   32  0.4741  0.0043  0.0558  0.0563  0.0465  0.04
Hatto 1997   20  0.5060  0.0037  0.0743  0.0759  0.0538  0.06
Horszowski 1983   62  0.3144  0.0063  0.0559  0.0564  0.0354  0.04
Indjic 2001   19  0.5165  0.0041  0.1034  0.1054  0.0635  0.08
Katin 1996   9  0.5550  0.007  0.227  0.5638  0.098  0.22
Kiepura 1999   48  0.4345  0.0055  0.0737  0.0758  0.0442  0.05
Korecka 1992   25  0.4948  0.0032  0.0633  0.1142  0.0833  0.09
Kushner 1990   39  0.4627  0.0012  0.0917  0.3737  0.0818  0.17
Lilamand 2001   56  0.3931  0.0058  0.0462  0.0454  0.0458  0.04
Luisada 1990   50  0.4349  0.0046  0.0550  0.0561  0.0460  0.04
Luisada 2008   21  0.5026  0.0018  0.0818  0.3633  0.247  0.29
Lushtak 2004   40  0.4546  0.0036  0.0649  0.0663  0.0448  0.05
Malcuzynski 1951   13  0.5216  0.0020  0.0812  0.4337  0.0813  0.19
Malcuzynski 1961   15  0.5143  0.0023  0.1015  0.3838  0.0723  0.16
Magaloff 1977   27  0.4910  0.0121  0.0720  0.3418  0.416  0.37
Magin 1975   22  0.5055  0.0022  0.0719  0.3445  0.0822  0.16
Meguri 1997   52  0.4233  0.0057  0.0738  0.0753  0.0537  0.06
Milkina 1970   2  0.592  0.143  0.374  0.7025  0.305  0.46
Mohovich 1999   12  0.5232  0.009  0.129  0.5134  0.0810  0.20
Nezu 2005   7  0.5557  0.0014  0.0911  0.4646  0.0812  0.19
Ohlsson 1999   3  0.5723  0.004  0.283  0.7117  0.482  0.58
Olejniczak 1990   33  0.4737  0.0045  0.0552  0.0558  0.0553  0.05
Osinska 1989   42  0.4530  0.0052  0.0555  0.0565  0.0355  0.04
Perlemuter 1992   43  0.4412  0.0149  0.0646  0.0615  0.4220  0.16
Poblocka 1999   11  0.5329  0.0016  0.0813  0.4137  0.109  0.20
Rangell 2001   54  0.4162  0.0056  0.0645  0.0653  0.0552  0.05
Richter 1960   59  0.3540  0.0061  0.0364  0.0352  0.0559  0.04
Richter 1961   61  0.3153  0.0062  0.0461  0.0453  0.0556  0.04
Rosen 1989   17  0.5122  0.0029  0.0728  0.1945  0.0631  0.11
Rubinstein 1939   37  0.4642  0.0033  0.0632  0.1153  0.0536  0.07
Rubinstein 1952   5  0.578  0.015  0.435  0.6820  0.443  0.55
Rubinstein 1966   14  0.5159  0.0013  0.0716  0.3757  0.0430  0.12
Rudanovskaya 2007   16  0.5117  0.0030  0.0731  0.1223  0.2816  0.18
Shebanova 2002   45  0.4324  0.0034  0.0740  0.0748  0.0539  0.06
Smith 1975   8  0.5514  0.016  0.236  0.6427  0.334  0.46
Sztompka 1959   38  0.4621  0.0038  0.0744  0.0733  0.2626  0.13
Tanyel 1992   57  0.3925  0.0053  0.0741  0.0764  0.0349  0.05
Tsujii 2005   6  0.5556  0.008  0.138  0.5346  0.0711  0.19
Uninsky 1959   10  0.5338  0.0010  0.1310  0.5050  0.0617  0.17
Vardi 1988   44  0.4411  0.0131  0.0630  0.1453  0.0534  0.08
Wasowski 1980   55  0.4152  0.0051  0.0556  0.0558  0.0543  0.05
Zimerman 1975   51  0.4264  0.0050  0.0553  0.0562  0.0463  0.04
Average   1  0.651  0.571  0.561  0.8464  0.0415  0.18
Random 1   66  -0.0167  0.0066  0.0266  0.0233  0.0961  0.04
Random 2   67  -0.0266  0.0067  0.0167  0.0164  0.0367  0.02
Random 3   65  -0.0161  0.0065  0.0265  0.0222  0.2140  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).