Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   4  0.6813  0.0110  0.176  0.6230  0.2016  0.35
Ax 1995   8  0.666  0.0222  0.1315  0.5225  0.329  0.41
Bacha 1998   47  0.5718  0.0048  0.0745  0.0743  0.0747  0.07
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
BenOr 1989   14  0.6514  0.0133  0.1232  0.2429  0.1532  0.19
Biret 1990   13  0.6511  0.0128  0.0923  0.4537  0.0930  0.20
Brailowsky 1960   50  0.5546  0.0051  0.0747  0.0753  0.0551  0.06
Chiu 1999   40  0.603  0.0317  0.0927  0.3316  0.4811  0.40
Clidat 1994   18  0.659  0.0129  0.1026  0.3433  0.2224  0.27
Cohen 1997   64  0.4063  0.0064  0.0655  0.0643  0.0655  0.06
Cortot 1951   60  0.4843  0.0063  0.0556  0.0547  0.0563  0.05
Csalog 1996   31  0.6245  0.0040  0.0744  0.0733  0.1341  0.10
Czerny 1989   33  0.6217  0.0018  0.0819  0.4816  0.503  0.49
Ezaki 2006   26  0.6319  0.0026  0.0825  0.3519  0.506  0.42
Falvay 1989   11  0.665  0.0211  0.132  0.6746  0.0727  0.22
Fiorentino 1962   30  0.6244  0.0037  0.0837  0.0841  0.0844  0.08
Fliere 1977   39  0.6038  0.0045  0.0935  0.0948  0.0645  0.07
Fou 1978   6  0.6715  0.017  0.1411  0.5834  0.1423  0.28
Francois 1956   52  0.5437  0.0055  0.0654  0.0640  0.0659  0.06
Goldenweiser 1946   61  0.4628  0.0060  0.0558  0.0541  0.0750  0.06
Gornostaeva 1994   23  0.647  0.0143  0.0840  0.0832  0.1738  0.12
Groot 1988   42  0.5923  0.0041  0.0746  0.0750  0.0657  0.06
Hatto 1993   17  0.6554  0.004  0.208  0.6128  0.2810  0.41
Hatto 1997   12  0.6542  0.003  0.285  0.6225  0.315  0.44
Horszowski 1983   55  0.5233  0.0034  0.0934  0.095  0.4928  0.21
Indjic 2001   19  0.6432  0.006  0.199  0.5931  0.2514  0.38
Katin 1996   15  0.6521  0.0012  0.1112  0.5826  0.364  0.46
Kiepura 1999   38  0.6020  0.0047  0.0650  0.0631  0.2139  0.11
Korecka 1992   44  0.5730  0.0050  0.0557  0.0523  0.3236  0.13
Kushner 1990   28  0.6361  0.0030  0.0929  0.2932  0.1926  0.23
Lilamand 2001   58  0.5252  0.0054  0.0561  0.0522  0.3437  0.13
Luisada 1990   45  0.5741  0.0042  0.0836  0.0844  0.0748  0.07
Luisada 2008   46  0.5756  0.0049  0.0648  0.0650  0.0560  0.05
Lushtak 2004   36  0.6036  0.0039  0.0742  0.0749  0.0653  0.06
Malcuzynski 1951   29  0.6329  0.0036  0.0838  0.0859  0.0558  0.06
Malcuzynski 1961   3  0.692  0.045  0.1710  0.5925  0.298  0.41
Magaloff 1977   41  0.5957  0.0024  0.0731  0.2615  0.3421  0.30
Magin 1975   7  0.6627  0.009  0.157  0.6118  0.462  0.53
Meguri 1997   51  0.5440  0.0044  0.0839  0.0834  0.0842  0.08
Milkina 1970   34  0.6165  0.0019  0.0922  0.4627  0.3213  0.38
Mohovich 1999   48  0.5662  0.0038  0.0743  0.0746  0.0654  0.06
Nezu 2005   22  0.6455  0.0025  0.0821  0.4745  0.0831  0.19
Ohlsson 1999   20  0.6458  0.0020  0.1018  0.4927  0.2217  0.33
Olejniczak 1990   32  0.6231  0.0027  0.0928  0.3029  0.2325  0.26
Osinska 1989   9  0.6634  0.0014  0.0914  0.5350  0.0633  0.18
Perlemuter 1992   62  0.4560  0.0061  0.0559  0.0532  0.0946  0.07
Poblocka 1999   25  0.6351  0.0032  0.1030  0.2650  0.0735  0.13
Rangell 2001   53  0.5325  0.0059  0.0653  0.0650  0.0656  0.06
Richter 1960   56  0.5235  0.0057  0.0652  0.0637  0.0752  0.06
Richter 1961   59  0.5048  0.0058  0.0462  0.0464  0.0464  0.04
Rosen 1989   54  0.5350  0.0052  0.0651  0.0655  0.0562  0.05
Rubinstein 1939   27  0.6310  0.0116  0.0817  0.4932  0.1622  0.28
Rubinstein 1952   2  0.704  0.022  0.363  0.6512  0.521  0.58
Rubinstein 1966   5  0.6826  0.008  0.144  0.6428  0.287  0.42
Rudanovskaya 2007   63  0.4322  0.0062  0.0464  0.0454  0.0466  0.04
Shebanova 2002   24  0.6339  0.0021  0.1420  0.4726  0.2615  0.35
Smith 1975   57  0.5264  0.0056  0.0463  0.0462  0.0565  0.04
Sztompka 1959   43  0.5916  0.0031  0.1033  0.1917  0.4919  0.31
Tanyel 1992   49  0.5647  0.0053  0.0560  0.0557  0.0561  0.05
Tsujii 2005   10  0.6649  0.0015  0.1313  0.5642  0.0829  0.21
Uninsky 1959   21  0.6424  0.0013  0.1416  0.5129  0.3012  0.39
Vardi 1988   37  0.6012  0.0135  0.0741  0.0726  0.3034  0.14
Wasowski 1980   35  0.6053  0.0046  0.0649  0.0643  0.0749  0.06
Zimerman 1975   16  0.658  0.0123  0.0924  0.4428  0.2220  0.31
Average   1  0.751  0.741  0.731  0.8935  0.1218  0.33
Random 1   67  -0.0359  0.0067  0.0167  0.0127  0.1567  0.04
Random 2   66  0.0267  0.0066  0.0266  0.0217  0.3043  0.08
Random 3   65  0.0266  0.0065  0.0365  0.0310  0.3940  0.11

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).