Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   42  0.686  0.059  0.1214  0.3326  0.1815  0.24
Ax 1995   49  0.6533  0.0041  0.0460  0.0458  0.0464  0.04
Bacha 1998   32  0.7052  0.0052  0.0640  0.0645  0.0549  0.05
Barbosa 1983   57  0.5961  0.0046  0.0641  0.0643  0.0642  0.06
BenOr 1989   20  0.7442  0.008  0.127  0.4617  0.358  0.40
Biret 1990   25  0.7221  0.0140  0.0647  0.0639  0.0746  0.06
Brailowsky 1960   62  0.5367  0.0064  0.0553  0.0548  0.0547  0.05
Chiu 1999   4  0.797  0.045  0.1413  0.3414  0.477  0.40
Clidat 1994   55  0.6162  0.0055  0.0462  0.0460  0.0562  0.04
Cohen 1997   53  0.6255  0.0059  0.0558  0.0531  0.1739  0.09
Cortot 1951   61  0.5539  0.0061  0.0551  0.0547  0.0555  0.05
Csalog 1996   19  0.7443  0.0031  0.0629  0.1631  0.1824  0.17
Czerny 1989   40  0.6927  0.0045  0.0642  0.0632  0.1041  0.08
Ezaki 2006   13  0.7518  0.0120  0.0721  0.2429  0.2316  0.23
Falvay 1989   8  0.7748  0.0011  0.1016  0.3051  0.0529  0.12
Fiorentino 1962   11  0.7614  0.0114  0.106  0.5121  0.366  0.43
Fliere 1977   43  0.6829  0.0038  0.0554  0.0560  0.0457  0.04
Fou 1978   7  0.772  0.143  0.173  0.5720  0.382  0.47
Francois 1956   45  0.6712  0.0236  0.0645  0.0624  0.2531  0.12
Goldenweiser 1946   46  0.665  0.0617  0.0725  0.1710  0.4212  0.27
Gornostaeva 1994   54  0.6237  0.0044  0.0737  0.0724  0.3027  0.14
Groot 1988   2  0.8111  0.034  0.1310  0.4427  0.1911  0.29
Hatto 1993   28  0.7147  0.0048  0.0549  0.0555  0.0554  0.05
Hatto 1997   31  0.7149  0.0050  0.0548  0.0554  0.0553  0.05
Horszowski 1983   29  0.7151  0.0051  0.0552  0.0527  0.1440  0.08
Indjic 2001   26  0.7245  0.0049  0.0736  0.0755  0.0544  0.06
Katin 1996   27  0.7138  0.0047  0.0643  0.0659  0.0452  0.05
Kiepura 1999   60  0.5632  0.0058  0.0463  0.0444  0.0556  0.04
Korecka 1992   52  0.6357  0.0060  0.0644  0.0664  0.0360  0.04
Kushner 1990   58  0.5864  0.0056  0.0550  0.0565  0.0361  0.04
Lilamand 2001   16  0.744  0.0913  0.158  0.452  0.661  0.54
Luisada 1990   24  0.7324  0.0119  0.0917  0.2941  0.0530  0.12
Luisada 2008   17  0.7466  0.0025  0.0627  0.1737  0.0635  0.10
Lushtak 2004   10  0.769  0.046  0.134  0.5425  0.373  0.45
Malcuzynski 1951   59  0.5726  0.0033  0.0733  0.1319  0.2523  0.18
Malcuzynski 1961   56  0.6144  0.0043  0.0555  0.0555  0.0550  0.05
Magaloff 1977   5  0.7917  0.017  0.145  0.5217  0.384  0.44
Magin 1975   50  0.6460  0.0057  0.0459  0.0462  0.0459  0.04
Meguri 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   23  0.7341  0.0029  0.0631  0.1632  0.1625  0.16
Mohovich 1999   41  0.6823  0.0139  0.0461  0.0452  0.0563  0.04
Nezu 2005   21  0.7322  0.0110  0.129  0.4525  0.2310  0.32
Ohlsson 1999   14  0.7556  0.0027  0.0623  0.2060  0.0438  0.09
Olejniczak 1990   35  0.7046  0.0035  0.0639  0.0627  0.1736  0.10
Osinska 1989   48  0.6528  0.0015  0.1018  0.2650  0.0533  0.11
Perlemuter 1992   34  0.7054  0.0054  0.0638  0.0626  0.1932  0.11
Poblocka 1999   18  0.7425  0.0122  0.0720  0.2437  0.0826  0.14
Rangell 2001   9  0.778  0.0416  0.1012  0.3721  0.389  0.37
Richter 1960   64  0.5250  0.0062  0.0464  0.0462  0.0365  0.03
Richter 1961   63  0.5330  0.0063  0.0557  0.0560  0.0458  0.04
Rosen 1989   33  0.7013  0.0123  0.0628  0.1627  0.2520  0.20
Rubinstein 1939   51  0.6436  0.0042  0.0556  0.0560  0.0548  0.05
Rubinstein 1952   47  0.6615  0.0132  0.0630  0.1629  0.2621  0.20
Rubinstein 1966   36  0.7020  0.0130  0.0724  0.1830  0.2022  0.19
Rudanovskaya 2007   22  0.7331  0.0028  0.0932  0.1623  0.2918  0.22
Shebanova 2002   15  0.7416  0.0124  0.0611  0.4132  0.1514  0.25
Smith 1975   6  0.7835  0.0026  0.0819  0.2524  0.2217  0.23
Sztompka 1959   30  0.7119  0.0118  0.0826  0.1743  0.0537  0.09
Tanyel 1992   38  0.6958  0.0021  0.0922  0.2120  0.3213  0.26
Tsujii 2005   1  0.813  0.132  0.241  0.7021  0.265  0.43
Uninsky 1959   12  0.7510  0.0312  0.1015  0.3358  0.0434  0.11
Vardi 1988   37  0.7034  0.0037  0.0646  0.0646  0.0551  0.05
Wasowski 1980   44  0.6840  0.0034  0.0735  0.0725  0.2328  0.13
Zimerman 1975   39  0.6953  0.0053  0.0734  0.0755  0.0545  0.06
Average   3  0.801  0.171  0.162  0.6243  0.0719  0.21
Random 1   67  -0.0663  0.0065  0.0265  0.0223  0.2043  0.06
Random 2   65  -0.0465  0.0067  0.0167  0.0158  0.0366  0.02
Random 3   66  -0.0559  0.0066  0.0266  0.0262  0.0367  0.02

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).