Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   20  0.7618  0.009  0.1611  0.4828  0.1816  0.29
Ax 1995   51  0.7048  0.0051  0.0637  0.0646  0.0652  0.06
Bacha 1998   25  0.7511  0.0111  0.169  0.528  0.544  0.53
Barbosa 1983   60  0.6031  0.0044  0.0453  0.0440  0.0756  0.05
BenOr 1989   40  0.7213  0.0013  0.1217  0.419  0.467  0.43
Biret 1990   14  0.786  0.0120  0.1120  0.3827  0.2018  0.28
Brailowsky 1960   41  0.7232  0.0052  0.0455  0.0439  0.0847  0.06
Chiu 1999   57  0.6643  0.0062  0.0544  0.0554  0.0553  0.05
Clidat 1994   49  0.7124  0.0040  0.0464  0.0442  0.0658  0.05
Cohen 1997   63  0.5565  0.0064  0.0542  0.0533  0.1345  0.08
Cortot 1951   62  0.5956  0.0046  0.0454  0.043  0.5627  0.15
Csalog 1996   34  0.7353  0.0045  0.0456  0.0443  0.0657  0.05
Czerny 1989   15  0.7721  0.0021  0.1422  0.2915  0.4112  0.34
Ezaki 2006   19  0.7647  0.0026  0.0727  0.1633  0.1328  0.14
Falvay 1989   4  0.845  0.014  0.174  0.7015  0.463  0.57
Fiorentino 1962   26  0.7522  0.0032  0.0628  0.1556  0.0542  0.09
Fliere 1977   33  0.7323  0.0037  0.0459  0.0446  0.0564  0.04
Fou 1978   45  0.7112  0.0024  0.0924  0.2532  0.1724  0.21
Francois 1956   55  0.6842  0.0047  0.0552  0.0530  0.1843  0.09
Goldenweiser 1946   53  0.6955  0.0039  0.0463  0.043  0.4929  0.14
Gornostaeva 1994   61  0.5940  0.0059  0.0635  0.0657  0.0561  0.05
Groot 1988   10  0.8144  0.0019  0.0918  0.4126  0.2017  0.29
Hatto 1993   5  0.8210  0.0112  0.1210  0.5126  0.1913  0.31
Hatto 1997   7  0.8216  0.0017  0.1113  0.4627  0.1520  0.26
Horszowski 1983   42  0.7264  0.0033  0.0632  0.1212  0.2726  0.18
Indjic 2001   8  0.8250  0.0018  0.1115  0.4432  0.1421  0.25
Katin 1996   31  0.7327  0.0056  0.0546  0.0551  0.0555  0.05
Kiepura 1999   64  0.5557  0.0063  0.0460  0.0457  0.0463  0.04
Korecka 1992   47  0.7161  0.0058  0.0640  0.0619  0.3330  0.14
Kushner 1990   58  0.6519  0.0022  0.1025  0.2229  0.2125  0.21
Lilamand 2001   54  0.6825  0.0036  0.0550  0.0524  0.3134  0.12
Luisada 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 2008   1  0.901  0.781  0.771  0.911  0.921  0.91
Lushtak 2004   3  0.853  0.023  0.453  0.734  0.752  0.74
Malcuzynski 1951   50  0.7130  0.0016  0.1219  0.4024  0.1819  0.27
Malcuzynski 1961   43  0.7154  0.0010  0.1312  0.4725  0.2610  0.35
Magaloff 1977   38  0.7252  0.0043  0.0457  0.0439  0.0951  0.06
Magin 1975   21  0.767  0.0135  0.0638  0.0664  0.0454  0.05
Meguri 1997   32  0.739  0.0142  0.0541  0.0517  0.2933  0.12
Milkina 1970   35  0.7241  0.0048  0.0545  0.0542  0.0749  0.06
Mohovich 1999   12  0.7914  0.0014  0.1114  0.4628  0.1915  0.30
Nezu 2005   13  0.7820  0.007  0.127  0.5415  0.425  0.48
Ohlsson 1999   18  0.7637  0.0023  0.1021  0.3434  0.0631  0.14
Olejniczak 1990   16  0.7735  0.0029  0.0531  0.1331  0.1235  0.12
Osinska 1989   11  0.8017  0.008  0.135  0.6528  0.258  0.40
Perlemuter 1992   56  0.6826  0.0028  0.0633  0.1133  0.1136  0.11
Poblocka 1999   9  0.818  0.016  0.138  0.5325  0.279  0.38
Rangell 2001   24  0.7546  0.0030  0.0530  0.1324  0.3623  0.22
Richter 1960   36  0.7228  0.0050  0.0551  0.0522  0.2437  0.11
Richter 1961   52  0.7033  0.0053  0.0462  0.0427  0.1939  0.09
Rosen 1989   39  0.7258  0.0041  0.0458  0.0429  0.1941  0.09
Rubinstein 1939   48  0.7129  0.0057  0.0639  0.0637  0.0748  0.06
Rubinstein 1952   59  0.6460  0.0060  0.0543  0.0552  0.0562  0.05
Rubinstein 1966   44  0.7151  0.0055  0.0734  0.0735  0.0846  0.07
Rudanovskaya 2007   46  0.7159  0.0061  0.0547  0.0558  0.0466  0.04
Shebanova 2002   17  0.7634  0.0025  0.0923  0.2760  0.0438  0.10
Smith 1975   30  0.7436  0.0038  0.0461  0.0446  0.0565  0.04
Sztompka 1959   28  0.744  0.0227  0.0726  0.1621  0.3422  0.23
Tanyel 1992   29  0.7415  0.0034  0.0636  0.0623  0.2832  0.13
Tsujii 2005   6  0.8249  0.005  0.246  0.6531  0.1414  0.30
Uninsky 1959   23  0.7545  0.0031  0.0529  0.1435  0.0640  0.09
Vardi 1988   37  0.7262  0.0054  0.0549  0.0536  0.0750  0.06
Wasowski 1980   22  0.7639  0.0015  0.1316  0.4410  0.496  0.46
Zimerman 1975   27  0.7438  0.0049  0.0548  0.0556  0.0560  0.05
Average   2  0.862  0.062  0.392  0.8230  0.1511  0.35
Random 1   67  -0.0866  0.0066  0.0266  0.0216  0.3144  0.08
Random 2   66  -0.0667  0.0067  0.0167  0.0156  0.0367  0.02
Random 3   65  0.0363  0.0065  0.0265  0.0226  0.1559  0.05

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).