Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2564  0.0037  0.0548  0.0542  0.0647  0.05
Ax 1995   63  0.2655  0.0062  0.0362  0.0360  0.0563  0.04
Bacha 1998   39  0.3927  0.0035  0.0835  0.0846  0.0736  0.07
Barbosa 1983   40  0.3917  0.0114  0.0714  0.4344  0.078  0.17
BenOr 1989   8  0.4824  0.0011  0.0810  0.4661  0.0418  0.14
Biret 1990   2  0.515  0.024  0.122  0.6239  0.071  0.21
Brailowsky 1960   52  0.3649  0.0039  0.0737  0.0763  0.0443  0.05
Chiu 1999   56  0.3460  0.0044  0.0452  0.0459  0.0453  0.04
Clidat 1994   38  0.3919  0.0023  0.0824  0.3050  0.0623  0.13
Cohen 1997   61  0.3028  0.0063  0.0461  0.0446  0.0562  0.04
Cortot 1951   44  0.3826  0.0058  0.0363  0.0355  0.0467  0.03
Csalog 1996   26  0.4322  0.0012  0.0716  0.4262  0.0515  0.14
Czerny 1989   21  0.4451  0.0019  0.0917  0.4156  0.0514  0.14
Ezaki 2006   41  0.3925  0.0038  0.0639  0.0661  0.0541  0.05
Falvay 1989   4  0.5011  0.028  0.169  0.5355  0.059  0.16
Fiorentino 1962   15  0.4553  0.0021  0.1018  0.4161  0.0517  0.14
Fliere 1977   17  0.4420  0.0026  0.0826  0.2953  0.0619  0.13
Fou 1978   28  0.4252  0.0015  0.0715  0.4358  0.0420  0.13
Francois 1956   60  0.3156  0.0057  0.0364  0.0359  0.0565  0.04
Goldenweiser 1946   42  0.3913  0.0136  0.0736  0.0755  0.0538  0.06
Gornostaeva 1994   57  0.3463  0.0042  0.0550  0.0544  0.0648  0.05
Groot 1988   16  0.4430  0.0024  0.1022  0.3654  0.0524  0.13
Hatto 1993   11  0.4732  0.007  0.148  0.5751  0.067  0.18
Hatto 1997   6  0.5031  0.006  0.187  0.5846  0.065  0.19
Horszowski 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 2001   3  0.5041  0.005  0.144  0.5950  0.066  0.19
Katin 1996   19  0.4448  0.0032  0.0831  0.2060  0.0430  0.09
Kiepura 1999   47  0.3861  0.0054  0.0544  0.0563  0.0350  0.04
Korecka 1992   51  0.3634  0.0060  0.0453  0.0461  0.0455  0.04
Kushner 1990   31  0.4238  0.0031  0.1030  0.2351  0.0627  0.12
Lilamand 2001   36  0.4035  0.0047  0.0456  0.0444  0.0558  0.04
Luisada 1990   49  0.3859  0.0041  0.0454  0.0456  0.0561  0.04
Luisada 2008   50  0.3729  0.0040  0.0455  0.0458  0.0559  0.04
Lushtak 2004   9  0.4815  0.019  0.205  0.5961  0.0412  0.15
Malcuzynski 1951   59  0.3358  0.0056  0.0549  0.0560  0.0549  0.05
Malcuzynski 1961   12  0.4712  0.013  0.253  0.6047  0.064  0.19
Magaloff 1977   55  0.3465  0.0046  0.0546  0.0564  0.0360  0.04
Magin 1975   43  0.3940  0.0050  0.0457  0.0464  0.0366  0.03
Meguri 1997   32  0.428  0.0252  0.0547  0.0558  0.0457  0.04
Milkina 1970   14  0.4547  0.0028  0.0829  0.2464  0.0332  0.08
Mohovich 1999   23  0.4346  0.0033  0.1032  0.1962  0.0334  0.08
Nezu 2005   24  0.4342  0.0048  0.0543  0.0562  0.0546  0.05
Ohlsson 1999   53  0.3633  0.0045  0.0641  0.0658  0.0544  0.05
Olejniczak 1990   7  0.4821  0.0020  0.1013  0.4447  0.0610  0.16
Osinska 1989   10  0.487  0.0222  0.0921  0.3660  0.0425  0.12
Perlemuter 1992   35  0.4116  0.0153  0.0542  0.0545  0.0542  0.05
Poblocka 1999   45  0.3854  0.0051  0.0551  0.0564  0.0352  0.04
Rangell 2001   54  0.3639  0.0059  0.0458  0.0463  0.0464  0.04
Richter 1960   18  0.4418  0.0030  0.0925  0.2939  0.0622  0.13
Richter 1961   30  0.426  0.0229  0.0728  0.2546  0.0626  0.12
Rosen 1989   37  0.4045  0.0049  0.0640  0.0650  0.0639  0.06
Rubinstein 1939   46  0.3862  0.0043  0.0459  0.0458  0.0554  0.04
Rubinstein 1952   33  0.4150  0.0034  0.1434  0.1464  0.0437  0.07
Rubinstein 1966   20  0.444  0.0310  0.1219  0.4048  0.0516  0.14
Rudanovskaya 2007   34  0.4136  0.0055  0.0638  0.0664  0.0445  0.05
Shebanova 2002   22  0.4423  0.0018  0.0820  0.3940  0.0611  0.15
Smith 1975   48  0.3810  0.0225  0.0733  0.1854  0.0629  0.10
Sztompka 1959   58  0.3367  0.0061  0.0460  0.0455  0.0556  0.04
Tanyel 1992   29  0.422  0.0417  0.0823  0.3158  0.0528  0.12
Tsujii 2005   13  0.4537  0.0013  0.0811  0.4557  0.0513  0.15
Uninsky 1959   5  0.509  0.022  0.226  0.5852  0.063  0.19
Vardi 1988   25  0.4314  0.0116  0.0912  0.4564  0.0421  0.13
Wasowski 1980   62  0.2957  0.0064  0.0545  0.0563  0.0351  0.04
Zimerman 1975   27  0.433  0.0427  0.0827  0.2763  0.0331  0.09
Average   1  0.581  0.641  0.631  0.8258  0.052  0.20
Random 1   66  0.0343  0.0067  0.0167  0.0112  0.3240  0.06
Random 2   65  0.0344  0.0066  0.0266  0.0219  0.3333  0.08
Random 3   67  0.0066  0.0065  0.0265  0.0213  0.3535  0.08

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).