Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.3453  0.0047  0.0647  0.0639  0.0663  0.06
Ax 1995   47  0.5348  0.0032  0.1032  0.1924  0.3533  0.26
Bacha 1998   57  0.4664  0.0059  0.0462  0.0439  0.0862  0.06
Barbosa 1983   50  0.5111  0.0133  0.1036  0.1011  0.5435  0.23
BenOr 1989   11  0.6437  0.0020  0.1024  0.3814  0.5924  0.47
Biret 1990   19  0.635  0.036  0.117  0.573  0.717  0.64
Brailowsky 1960   45  0.5362  0.0043  0.0939  0.0923  0.3743  0.18
Chiu 1999   56  0.4636  0.0054  0.0558  0.0529  0.2355  0.11
Clidat 1994   52  0.4940  0.0040  0.0840  0.0819  0.3246  0.16
Cohen 1997   61  0.4452  0.0062  0.0556  0.056  0.5945  0.17
Cortot 1951   60  0.4449  0.0063  0.0552  0.0538  0.0664  0.05
Csalog 1996   15  0.6314  0.019  0.0819  0.438  0.6219  0.52
Czerny 1989   30  0.587  0.0224  0.1125  0.3713  0.5525  0.45
Ezaki 2006   16  0.6334  0.0010  0.0915  0.513  0.6911  0.59
Falvay 1989   3  0.701  0.401  0.391  0.813  0.741  0.77
Fiorentino 1962   8  0.659  0.0214  0.1711  0.539  0.6313  0.58
Fliere 1977   48  0.5354  0.0045  0.0648  0.0633  0.1159  0.08
Fou 1978   25  0.6215  0.0122  0.1027  0.3519  0.4927  0.41
Francois 1956   41  0.5558  0.0041  0.0937  0.096  0.5638  0.22
Goldenweiser 1946   51  0.5032  0.0053  0.0651  0.0618  0.2654  0.12
Gornostaeva 1994   58  0.4557  0.0055  0.0557  0.0523  0.3653  0.13
Groot 1988   13  0.6422  0.0013  0.116  0.597  0.6110  0.60
Hatto 1993   21  0.6330  0.0027  0.1026  0.3722  0.4329  0.40
Hatto 1997   14  0.6328  0.0018  0.1014  0.5113  0.5516  0.53
Horszowski 1983   59  0.4438  0.0061  0.0459  0.0430  0.2058  0.09
Indjic 2001   9  0.6535  0.0019  0.0817  0.4916  0.5520  0.52
Katin 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kiepura 1999   27  0.6020  0.0129  0.1129  0.277  0.7326  0.44
Korecka 1992   46  0.5351  0.0050  0.0554  0.0529  0.2656  0.11
Kushner 1990   26  0.6046  0.0026  0.0921  0.404  0.6818  0.52
Lilamand 2001   43  0.5442  0.0046  0.0650  0.061  0.6941  0.20
Luisada 1990   24  0.6218  0.0115  0.1223  0.409  0.6122  0.49
Luisada 2008   40  0.5539  0.0037  0.0938  0.0913  0.6434  0.24
Lushtak 2004   28  0.6012  0.0123  0.0928  0.3211  0.5028  0.40
Malcuzynski 1951   38  0.5560  0.0044  0.0646  0.0626  0.3149  0.14
Malcuzynski 1961   23  0.6219  0.0125  0.1018  0.4615  0.5123  0.48
Magaloff 1977   55  0.4750  0.0057  0.0555  0.0524  0.2657  0.11
Magin 1975   32  0.5847  0.0036  0.1035  0.1025  0.3939  0.20
Meguri 1997   37  0.5623  0.0048  0.0744  0.0711  0.5540  0.20
Milkina 1970   5  0.6613  0.0111  0.1010  0.5410  0.5915  0.56
Mohovich 1999   20  0.6310  0.017  0.1013  0.522  0.6412  0.58
Nezu 2005   6  0.6631  0.0016  0.1016  0.519  0.6414  0.57
Ohlsson 1999   12  0.6416  0.0112  0.139  0.554  0.719  0.62
Olejniczak 1990   22  0.6229  0.0031  0.1030  0.2614  0.5930  0.39
Osinska 1989   2  0.713  0.083  0.284  0.733  0.724  0.72
Perlemuter 1992   54  0.4827  0.0060  0.0460  0.0415  0.4251  0.13
Poblocka 1999   17  0.6343  0.0028  0.1220  0.419  0.6321  0.51
Rangell 2001   29  0.5917  0.0142  0.0841  0.089  0.6736  0.23
Richter 1960   53  0.4921  0.0156  0.0461  0.0432  0.1361  0.07
Richter 1961   62  0.4356  0.0058  0.0463  0.0432  0.1560  0.08
Rosen 1989   10  0.6525  0.0021  0.0922  0.404  0.7017  0.53
Rubinstein 1939   33  0.5845  0.0030  0.1131  0.2015  0.5731  0.34
Rubinstein 1952   42  0.5444  0.0039  0.1034  0.1028  0.3144  0.18
Rubinstein 1966   7  0.666  0.035  0.185  0.615  0.725  0.66
Rudanovskaya 2007   39  0.5524  0.0052  0.0649  0.0614  0.4048  0.15
Shebanova 2002   36  0.5741  0.0038  0.1133  0.114  0.6232  0.26
Smith 1975   18  0.6326  0.0017  0.1112  0.532  0.768  0.63
Sztompka 1959   44  0.5366  0.0049  0.0645  0.0624  0.4047  0.15
Tanyel 1992   34  0.5759  0.0035  0.0843  0.0811  0.6037  0.22
Tsujii 2005   1  0.722  0.212  0.402  0.792  0.762  0.77
Uninsky 1959   4  0.694  0.044  0.373  0.741  0.793  0.76
Vardi 1988   31  0.588  0.028  0.088  0.564  0.746  0.64
Wasowski 1980   49  0.5261  0.0051  0.0553  0.0524  0.3250  0.13
Zimerman 1975   35  0.5733  0.0034  0.0842  0.0822  0.4942  0.20
Random 1   65  0.0165  0.0065  0.0265  0.0235  0.0565  0.03
Random 2   66  0.0055  0.0066  0.0166  0.0144  0.0466  0.02
Random 3   64  0.0263  0.0064  0.0364  0.032  0.5352  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).