Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   14  0.822  0.232  0.293  0.699  0.487  0.58
Ax 1995   17  0.8012  0.0111  0.1212  0.545  0.5210  0.53
Bacha 1998   53  0.7162  0.0055  0.0363  0.0353  0.0564  0.04
Barbosa 1983   58  0.6926  0.0015  0.1017  0.458  0.5115  0.48
BenOr 1989   59  0.6752  0.0044  0.0452  0.0448  0.0661  0.05
Biret 1990   28  0.7725  0.0032  0.0732  0.1341  0.0746  0.10
Brailowsky 1960   43  0.7460  0.0052  0.0457  0.0434  0.1151  0.07
Chiu 1999   19  0.809  0.0219  0.1121  0.385  0.6612  0.50
Clidat 1994   24  0.7836  0.0018  0.1222  0.3721  0.4021  0.38
Cohen 1997   61  0.6563  0.0061  0.0450  0.0421  0.3045  0.11
Cortot 1951   63  0.5164  0.0063  0.0546  0.0549  0.0562  0.05
Csalog 1996   35  0.7645  0.0056  0.0460  0.0445  0.0660  0.05
Czerny 1989   23  0.7840  0.0030  0.0730  0.197  0.4824  0.30
Ezaki 2006   9  0.8328  0.0021  0.1019  0.426  0.5613  0.48
Falvay 1989   31  0.7744  0.0026  0.0928  0.2336  0.0739  0.13
Fiorentino 1962   4  0.853  0.084  0.1810  0.5910  0.568  0.57
Fliere 1977   15  0.8141  0.0025  0.1024  0.3329  0.2027  0.26
Fou 1978   25  0.785  0.056  0.1314  0.527  0.589  0.55
Francois 1956   38  0.7513  0.0129  0.0829  0.202  0.6523  0.36
Goldenweiser 1946   62  0.6034  0.0062  0.0545  0.0538  0.0753  0.06
Gornostaeva 1994   55  0.7050  0.0034  0.0934  0.0911  0.5029  0.21
Groot 1988   26  0.7859  0.0040  0.0738  0.0738  0.0752  0.07
Hatto 1993   18  0.8049  0.0023  0.1220  0.4121  0.2125  0.29
Hatto 1997   22  0.7942  0.0028  0.1127  0.3027  0.1330  0.20
Horszowski 1983   45  0.7431  0.0053  0.0459  0.0445  0.0657  0.05
Indjic 2001   20  0.8048  0.0027  0.0726  0.3028  0.1528  0.21
Katin 1996   5  0.8427  0.0013  0.155  0.648  0.624  0.63
Kiepura 1999   60  0.6729  0.0050  0.0458  0.0413  0.4438  0.13
Korecka 1992   49  0.7224  0.0057  0.0456  0.0417  0.3741  0.12
Kushner 1990   51  0.7117  0.0114  0.1123  0.372  0.5716  0.46
Lilamand 2001   56  0.7054  0.0058  0.0549  0.0516  0.4334  0.15
Luisada 1990   50  0.7243  0.0042  0.0741  0.0744  0.0554  0.06
Luisada 2008   40  0.7555  0.0041  0.0547  0.0530  0.1748  0.09
Lushtak 2004   27  0.7858  0.0036  0.0836  0.0830  0.1942  0.12
Malcuzynski 1951   54  0.7146  0.0035  0.1233  0.1224  0.1836  0.15
Malcuzynski 1961   42  0.7430  0.0016  0.1416  0.4717  0.3519  0.41
Magaloff 1977   11  0.8314  0.0110  0.127  0.606  0.635  0.61
Magin 1975   41  0.7435  0.0046  0.0453  0.0437  0.0659  0.05
Meguri 1997   48  0.7316  0.0131  0.0831  0.1630  0.1632  0.16
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   10  0.8311  0.0122  0.1318  0.4315  0.4218  0.42
Nezu 2005   33  0.768  0.0224  0.1125  0.3122  0.2626  0.28
Ohlsson 1999   12  0.8333  0.0020  0.1215  0.4812  0.4914  0.48
Olejniczak 1990   37  0.7537  0.0045  0.0455  0.0436  0.0663  0.05
Osinska 1989   16  0.817  0.0417  0.1213  0.5323  0.2920  0.39
Perlemuter 1992   32  0.7651  0.0059  0.0643  0.0615  0.3237  0.14
Poblocka 1999   6  0.8410  0.0212  0.1111  0.5822  0.3017  0.42
Rangell 2001   29  0.7721  0.0047  0.0548  0.0529  0.1649  0.09
Richter 1960   52  0.7156  0.0051  0.0461  0.0446  0.0565  0.04
Richter 1961   57  0.7057  0.0054  0.0364  0.0336  0.0758  0.05
Rosen 1989   21  0.7920  0.0038  0.0837  0.0820  0.3035  0.15
Rubinstein 1939   8  0.844  0.065  0.134  0.688  0.613  0.64
Rubinstein 1952   7  0.846  0.043  0.232  0.713  0.692  0.70
Rubinstein 1966   1  0.881  0.331  0.321  0.804  0.651  0.72
Rudanovskaya 2007   47  0.7423  0.0060  0.0642  0.0627  0.1944  0.11
Shebanova 2002   3  0.8532  0.007  0.116  0.6317  0.4311  0.52
Smith 1975   30  0.7747  0.0048  0.0544  0.0527  0.1747  0.09
Sztompka 1959   44  0.7438  0.0049  0.0454  0.0422  0.3043  0.11
Tanyel 1992   39  0.7522  0.0043  0.0451  0.0431  0.1850  0.08
Tsujii 2005   2  0.8518  0.018  0.129  0.5924  0.2322  0.37
Uninsky 1959   13  0.8215  0.019  0.118  0.596  0.606  0.59
Vardi 1988   36  0.7519  0.0137  0.0740  0.0720  0.3433  0.15
Wasowski 1980   46  0.7453  0.0033  0.0835  0.0816  0.4031  0.18
Zimerman 1975   34  0.7639  0.0039  0.0739  0.0749  0.0556  0.06
Random 1   66  -0.0765  0.0065  0.0265  0.0224  0.1655  0.06
Random 2   65  -0.0366  0.0066  0.0166  0.0144  0.0466  0.02
Random 3   64  0.0861  0.0064  0.0362  0.032  0.5340  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).