Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   18  0.6518  0.008  0.116  0.5551  0.0612  0.18
Ax 1995   22  0.6425  0.0015  0.1214  0.4738  0.0713  0.18
Bacha 1998   29  0.6230  0.009  0.1319  0.3927  0.196  0.27
Barbosa 1983   54  0.5029  0.0046  0.0463  0.0461  0.0561  0.04
BenOr 1989   59  0.4749  0.0057  0.0836  0.0851  0.0635  0.07
Biret 1990   19  0.6547  0.0020  0.0722  0.3048  0.0626  0.13
Brailowsky 1960   30  0.6144  0.0029  0.0830  0.1948  0.0627  0.11
Chiu 1999   37  0.5914  0.0050  0.0647  0.0648  0.0546  0.05
Clidat 1994   6  0.684  0.015  0.233  0.6626  0.423  0.53
Cohen 1997   56  0.4933  0.0056  0.0638  0.0636  0.0834  0.07
Cortot 1951   61  0.4217  0.0058  0.0555  0.0563  0.0363  0.04
Csalog 1996   40  0.5816  0.0049  0.0641  0.0662  0.0451  0.05
Czerny 1989   24  0.6343  0.0031  0.0631  0.1457  0.0531  0.08
Ezaki 2006   32  0.6136  0.0040  0.0554  0.0562  0.0458  0.04
Falvay 1989   3  0.7024  0.004  0.218  0.5533  0.107  0.23
Fiorentino 1962   17  0.6559  0.0022  0.0720  0.3546  0.0720  0.16
Fliere 1977   2  0.732  0.032  0.412  0.6817  0.442  0.55
Fou 1978   42  0.5834  0.0034  0.0835  0.0858  0.0540  0.06
Francois 1956   47  0.5548  0.0045  0.0552  0.0545  0.0657  0.05
Goldenweiser 1946   62  0.4210  0.0062  0.0646  0.0647  0.0639  0.06
Gornostaeva 1994   49  0.5445  0.0041  0.0557  0.0543  0.0655  0.05
Groot 1988   23  0.6350  0.0035  0.0934  0.0958  0.0536  0.07
Hatto 1993   8  0.687  0.0010  0.157  0.5550  0.0614  0.18
Hatto 1997   11  0.663  0.0214  0.1911  0.5049  0.0616  0.17
Horszowski 1983   50  0.5341  0.0054  0.0640  0.0637  0.0638  0.06
Indjic 2001   10  0.679  0.0013  0.1310  0.5157  0.0519  0.16
Katin 1996   20  0.6555  0.0028  0.0929  0.2259  0.0430  0.09
Kiepura 1999   53  0.505  0.0138  0.0642  0.0642  0.0737  0.06
Korecka 1992   48  0.5422  0.0053  0.0645  0.0658  0.0448  0.05
Kushner 1990   60  0.4527  0.0051  0.0643  0.0664  0.0360  0.04
Lilamand 2001   63  0.3540  0.0063  0.0548  0.0558  0.0552  0.05
Luisada 1990   38  0.5965  0.0033  0.0639  0.0654  0.0553  0.05
Luisada 2008   39  0.5942  0.0032  0.0632  0.1256  0.0433  0.07
Lushtak 2004   12  0.668  0.0017  0.1315  0.4752  0.0617  0.17
Malcuzynski 1951   55  0.5062  0.0042  0.0553  0.0546  0.0656  0.05
Malcuzynski 1961   43  0.5732  0.0027  0.1224  0.2746  0.0624  0.13
Magaloff 1977   45  0.5637  0.0052  0.0644  0.0653  0.0642  0.06
Magin 1975   33  0.6138  0.0025  0.0923  0.2863  0.0428  0.11
Meguri 1997   51  0.5213  0.0055  0.0550  0.0555  0.0550  0.05
Milkina 1970   35  0.6012  0.0037  0.0551  0.0561  0.0549  0.05
Mohovich 1999   4  0.706  0.003  0.244  0.6419  0.344  0.47
Nezu 2005   31  0.6128  0.0026  0.0826  0.2455  0.0529  0.11
Ohlsson 1999   26  0.6253  0.0036  0.0933  0.0954  0.0532  0.07
Olejniczak 1990   25  0.6326  0.0024  0.1021  0.3343  0.0722  0.15
Osinska 1989   15  0.6561  0.0011  0.1016  0.4436  0.0811  0.19
Perlemuter 1992   57  0.4811  0.0061  0.0560  0.0539  0.0645  0.05
Poblocka 1999   7  0.6831  0.006  0.125  0.5540  0.088  0.21
Rangell 2001   27  0.6223  0.0030  0.0928  0.2230  0.1810  0.20
Richter 1960   1  0.861  0.891  0.871  0.941  0.921  0.93
Richter 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   36  0.6046  0.0039  0.0559  0.0562  0.0462  0.04
Rubinstein 1939   13  0.6639  0.0019  0.1218  0.3943  0.0621  0.15
Rubinstein 1952   46  0.5651  0.0048  0.0556  0.0544  0.0743  0.06
Rubinstein 1966   14  0.6657  0.0018  0.1217  0.4036  0.0715  0.17
Rudanovskaya 2007   28  0.6252  0.0043  0.0558  0.0543  0.0654  0.05
Shebanova 2002   16  0.6520  0.0021  0.0725  0.2437  0.0823  0.14
Smith 1975   58  0.4854  0.0060  0.0461  0.0454  0.0647  0.05
Sztompka 1959   52  0.5056  0.0059  0.0462  0.0457  0.0559  0.04
Tanyel 1992   41  0.5835  0.0023  0.0727  0.2343  0.0725  0.13
Tsujii 2005   5  0.6815  0.0012  0.119  0.5242  0.089  0.20
Uninsky 1959   34  0.6066  0.0044  0.0737  0.0742  0.0641  0.06
Vardi 1988   21  0.6521  0.007  0.1112  0.5021  0.365  0.42
Wasowski 1980   44  0.5660  0.0047  0.0549  0.0556  0.0544  0.05
Zimerman 1975   9  0.6719  0.0016  0.1613  0.4748  0.0618  0.17
Random 1   66  -0.0258  0.0065  0.0265  0.0236  0.0565  0.03
Random 2   64  0.0063  0.0064  0.0264  0.0233  0.0664  0.03
Random 3   65  -0.0264  0.0066  0.0166  0.0164  0.0266  0.01

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).