Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.5344  0.0043  0.1435  0.141  0.8536  0.34
Ax 1995   40  0.6914  0.0124  0.0928  0.371  0.9229  0.58
Bacha 1998   55  0.6455  0.0046  0.0461  0.041  0.8761  0.19
Barbosa 1983   56  0.6322  0.0037  0.0941  0.091  0.8939  0.28
BenOr 1989   15  0.7852  0.0017  0.1116  0.541  0.9316  0.71
Biret 1990   28  0.7529  0.0029  0.0827  0.381  0.9327  0.59
Brailowsky 1960   43  0.6949  0.0040  0.1336  0.131  0.9235  0.35
Chiu 1999   54  0.6543  0.0054  0.0555  0.051  0.8753  0.21
Clidat 1994   47  0.6732  0.0042  0.0938  0.091  0.8941  0.28
Cohen 1997   64  0.4662  0.0064  0.0651  0.061  0.7556  0.21
Cortot 1951   57  0.6363  0.0062  0.0554  0.051  0.8360  0.20
Csalog 1996   21  0.7636  0.0032  0.1431  0.351  0.9231  0.57
Czerny 1989   25  0.7527  0.0018  0.0819  0.501  0.9418  0.69
Ezaki 2006   26  0.7530  0.0026  0.0929  0.371  0.9128  0.58
Falvay 1989   1  0.861  0.711  0.701  0.901  0.971  0.93
Fiorentino 1962   11  0.7928  0.0013  0.1811  0.641  0.9411  0.78
Fliere 1977   37  0.7112  0.0139  0.0939  0.091  0.9038  0.28
Fou 1978   19  0.7740  0.0016  0.1115  0.561  0.9414  0.73
Francois 1956   53  0.6554  0.0053  0.0464  0.041  0.8464  0.18
Goldenweiser 1946   50  0.6635  0.0056  0.0653  0.061  0.8650  0.23
Gornostaeva 1994   61  0.5861  0.0059  0.0556  0.051  0.8459  0.20
Groot 1988   17  0.7711  0.0114  0.1413  0.581  0.9315  0.73
Hatto 1993   6  0.8215  0.005  0.164  0.773  0.954  0.86
Hatto 1997   4  0.8219  0.007  0.185  0.763  0.955  0.85
Horszowski 1983   62  0.5859  0.0060  0.0558  0.051  0.8258  0.20
Indjic 2001   3  0.8423  0.004  0.253  0.803  0.963  0.88
Katin 1996   9  0.8016  0.0010  0.168  0.671  0.948  0.79
Kiepura 1999   34  0.7251  0.0041  0.1037  0.101  0.9237  0.30
Korecka 1992   39  0.7058  0.0049  0.0559  0.051  0.9154  0.21
Kushner 1990   36  0.7153  0.0034  0.0745  0.071  0.9146  0.25
Lilamand 2001   59  0.6060  0.0061  0.0650  0.061  0.8352  0.22
Luisada 1990   23  0.768  0.0223  0.0920  0.481  0.9223  0.66
Luisada 2008   42  0.6948  0.0044  0.1634  0.161  0.9034  0.38
Lushtak 2004   12  0.793  0.0411  0.1814  0.581  0.9413  0.74
Malcuzynski 1951   29  0.7418  0.0033  0.1133  0.211  0.9333  0.44
Malcuzynski 1961   8  0.802  0.053  0.326  0.751  0.946  0.84
Magaloff 1977   52  0.6531  0.0055  0.0747  0.071  0.8948  0.25
Magin 1975   18  0.7721  0.0015  0.1317  0.521  0.9517  0.70
Meguri 1997   48  0.6717  0.0057  0.0746  0.071  0.8747  0.25
Milkina 1970   10  0.804  0.026  0.1410  0.651  0.939  0.78
Mohovich 1999   22  0.7625  0.0031  0.1324  0.411  0.9224  0.61
Nezu 2005   7  0.8110  0.0112  0.2012  0.591  0.9512  0.75
Ohlsson 1999   24  0.7538  0.0028  0.0826  0.391  0.9125  0.60
Olejniczak 1990   16  0.7847  0.0020  0.1223  0.471  0.9520  0.67
Osinska 1989   5  0.826  0.028  0.177  0.701  0.957  0.82
Perlemuter 1992   60  0.5957  0.0063  0.0649  0.061  0.7851  0.22
Poblocka 1999   13  0.7820  0.0025  0.0821  0.471  0.9421  0.66
Rangell 2001   46  0.6850  0.0051  0.0557  0.051  0.8957  0.21
Richter 1960   45  0.6837  0.0047  0.0560  0.051  0.8855  0.21
Richter 1961   58  0.6224  0.0058  0.0748  0.071  0.8845  0.25
Rosen 1989   27  0.7541  0.0036  0.0844  0.081  0.9244  0.27
Rubinstein 1939   32  0.7234  0.0030  0.1230  0.351  0.9330  0.57
Rubinstein 1952   35  0.7213  0.0122  0.1125  0.391  0.9226  0.60
Rubinstein 1966   20  0.779  0.019  0.189  0.661  0.9310  0.78
Rudanovskaya 2007   44  0.6945  0.0048  0.0462  0.041  0.8863  0.19
Shebanova 2002   41  0.6956  0.0045  0.0940  0.091  0.8740  0.28
Smith 1975   33  0.7239  0.0038  0.0842  0.081  0.9242  0.27
Sztompka 1959   51  0.6664  0.0050  0.0463  0.041  0.8862  0.19
Tanyel 1992   38  0.7146  0.0035  0.0843  0.081  0.9143  0.27
Tsujii 2005   2  0.847  0.022  0.292  0.831  0.962  0.89
Uninsky 1959   14  0.7826  0.0021  0.1218  0.521  0.9219  0.69
Vardi 1988   31  0.725  0.0219  0.1122  0.471  0.9322  0.66
Wasowski 1980   49  0.6742  0.0052  0.0652  0.061  0.9049  0.23
Zimerman 1975   30  0.7433  0.0027  0.1132  0.331  0.9332  0.55
Average   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   66  0.0065  0.0067  0.0167  0.0144  0.0467  0.02
Random 2   65  0.0166  0.0066  0.0266  0.0239  0.0565  0.03
Random 3   67  -0.0167  0.0065  0.0265  0.0250  0.0466  0.03

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).