Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   46  0.0023  0.0034  0.0536  0.0565  0.0241  0.03
Ax 1995   51  0.0051  0.0042  0.0444  0.0467  0.0161  0.02
Bacha 1998   42  0.0038  0.0046  0.0446  0.0466  0.0237  0.03
Barbosa 1983   19  0.0321  0.0031  0.0731  0.1467  0.0132  0.04
BenOr 1989   22  0.038  0.0314  0.0726  0.2766  0.0229  0.07
Biret 1990   41  0.0040  0.0049  0.0360  0.0367  0.0163  0.02
Brailowsky 1960   58  -0.0255  0.0063  0.0363  0.0367  0.0147  0.02
Chiu 1999   11  0.043  0.086  0.143  0.5365  0.032  0.13
Clidat 1994   29  0.0239  0.0023  0.0918  0.3465  0.0223  0.08
Cohen 1997   3  0.065  0.072  0.1211  0.4165  0.038  0.11
Cortot 1951   24  0.0248  0.0035  0.0537  0.0566  0.0243  0.03
Csalog 1996   17  0.0328  0.0020  0.0714  0.4066  0.0215  0.09
Czerny 1989   2  0.0717  0.0012  0.138  0.4465  0.037  0.11
Ezaki 2006   8  0.0524  0.0019  0.0715  0.3865  0.036  0.11
Falvay 1989   47  0.0066  0.0056  0.0453  0.0467  0.0148  0.02
Fiorentino 1962   50  0.0022  0.0045  0.0448  0.0467  0.0159  0.02
Fliere 1977   44  0.0045  0.0050  0.0543  0.0566  0.0235  0.03
Fou 1978   13  0.0333  0.0016  0.0813  0.4065  0.0213  0.09
Francois 1956   56  -0.0243  0.0059  0.0364  0.0367  0.0164  0.02
Goldenweiser 1946   67  -0.0762  0.0067  0.0167  0.0167  0.0165  0.01
Gornostaeva 1994   48  0.0032  0.0041  0.0447  0.0467  0.0162  0.02
Groot 1988   66  -0.0550  0.0065  0.0265  0.0267  0.0166  0.01
Hatto 1993   35  0.0165  0.0038  0.0542  0.0565  0.0242  0.03
Hatto 1997   36  0.0147  0.0044  0.0634  0.0666  0.0239  0.03
Horszowski 1983   18  0.0310  0.0313  0.0919  0.3366  0.0219  0.08
Indjic 2001   20  0.0359  0.0032  0.0729  0.1665  0.0328  0.07
Katin 1996   43  0.0052  0.0043  0.0445  0.0467  0.0154  0.02
Kiepura 1999   59  -0.0226  0.0058  0.0359  0.0366  0.0245  0.02
Korecka 1992   61  -0.0256  0.0064  0.0455  0.0467  0.0152  0.02
Kushner 1990   10  0.0411  0.029  0.117  0.4666  0.0212  0.10
Lilamand 2001   16  0.037  0.048  0.182  0.5665  0.033  0.13
Luisada 1990   32  0.0135  0.0024  0.0923  0.3166  0.0224  0.08
Luisada 2008   57  -0.0237  0.0029  0.0630  0.1566  0.0231  0.05
Lushtak 2004   25  0.0241  0.0017  0.0712  0.4066  0.0216  0.09
Malcuzynski 1951   65  -0.0461  0.0066  0.0266  0.0267  0.0167  0.01
Malcuzynski 1961   28  0.0254  0.0030  0.0728  0.2366  0.0227  0.07
Magaloff 1977   15  0.0320  0.0026  0.1022  0.3166  0.0222  0.08
Magin 1975   63  -0.0364  0.0062  0.0362  0.0367  0.0151  0.02
Meguri 1997   37  0.0125  0.0028  0.0732  0.1466  0.0230  0.05
Milkina 1970   9  0.0429  0.0021  0.0720  0.3365  0.0310  0.10
Mohovich 1999   26  0.0257  0.0033  0.0633  0.1267  0.0140  0.03
Nezu 2005   12  0.0449  0.0025  0.0925  0.3066  0.0317  0.09
Ohlsson 1999   38  0.012  0.087  0.149  0.4465  0.0214  0.09
Olejniczak 1990   40  0.0046  0.0036  0.0535  0.0566  0.0244  0.03
Osinska 1989   53  -0.0153  0.0061  0.0452  0.0467  0.0146  0.02
Perlemuter 1992   33  0.0115  0.0118  0.0721  0.3165  0.039  0.10
Poblocka 1999   21  0.0313  0.0215  0.0617  0.3566  0.0220  0.08
Rangell 2001   1  0.091  0.351  0.351  0.6862  0.041  0.16
Richter 1960   4  0.0614  0.014  0.144  0.5365  0.034  0.13
Richter 1961   64  -0.0336  0.0051  0.0451  0.0466  0.0236  0.03
Rosen 1989   60  -0.0260  0.0057  0.0450  0.0467  0.0158  0.02
Rubinstein 1939   39  0.0042  0.0054  0.0456  0.0467  0.0150  0.02
Rubinstein 1952   5  0.069  0.0310  0.1110  0.4265  0.0218  0.09
Rubinstein 1966   7  0.054  0.0811  0.1316  0.3666  0.0221  0.08
Rudanovskaya 2007   45  0.0030  0.0053  0.0361  0.0365  0.0256  0.02
Shebanova 2002   14  0.0316  0.013  0.126  0.4965  0.035  0.12
Smith 1975   62  -0.0319  0.0060  0.0357  0.0367  0.0149  0.02
Sztompka 1959   34  0.0127  0.0047  0.0454  0.0467  0.0155  0.02
Tanyel 1992   52  -0.0144  0.0052  0.0541  0.0567  0.0157  0.02
Tsujii 2005   23  0.0331  0.0022  0.0724  0.3165  0.0225  0.08
Uninsky 1959   6  0.066  0.065  0.125  0.5266  0.0211  0.10
Vardi 1988   30  0.0263  0.0048  0.0449  0.0467  0.0153  0.02
Wasowski 1980   27  0.0234  0.0027  0.1027  0.2566  0.0226  0.07
Zimerman 1975   54  -0.0158  0.0055  0.0358  0.0367  0.0160  0.02
Average   31  0.0167  0.0039  0.0539  0.0566  0.0238  0.03
Random 1   49  0.0012  0.0237  0.0538  0.0554  0.0333  0.04
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   55  -0.0118  0.0040  0.0540  0.0558  0.0334  0.04

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).