Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   27  0.5910  0.026  0.166  0.5061  0.0419  0.14
Ax 1995   44  0.5654  0.0047  0.0656  0.0661  0.0563  0.05
Bacha 1998   59  0.4442  0.0060  0.0463  0.0447  0.0652  0.05
Barbosa 1983   51  0.5230  0.0017  0.0821  0.3460  0.0523  0.13
BenOr 1989   11  0.626  0.085  0.162  0.6256  0.057  0.18
Biret 1990   48  0.5566  0.0053  0.0837  0.0862  0.0445  0.06
Brailowsky 1960   58  0.4545  0.0058  0.0559  0.0549  0.0649  0.05
Chiu 1999   42  0.5614  0.0129  0.1026  0.2647  0.0627  0.12
Clidat 1994   55  0.4938  0.0054  0.0745  0.0763  0.0356  0.05
Cohen 1997   61  0.4336  0.0059  0.0462  0.0444  0.0661  0.05
Cortot 1951   62  0.4261  0.0061  0.0560  0.0559  0.0466  0.04
Csalog 1996   3  0.654  0.112  0.134  0.5447  0.066  0.18
Czerny 1989   38  0.5734  0.0041  0.0649  0.0641  0.0640  0.06
Ezaki 2006   7  0.6257  0.0025  0.0817  0.3552  0.0520  0.13
Falvay 1989   16  0.613  0.127  0.1525  0.2762  0.0432  0.10
Fiorentino 1962   43  0.5658  0.0051  0.0839  0.0861  0.0443  0.06
Fliere 1977   45  0.5540  0.0045  0.0651  0.0662  0.0448  0.05
Fou 1978   39  0.5717  0.0124  0.0624  0.2954  0.0621  0.13
Francois 1956   50  0.5428  0.0052  0.0838  0.0862  0.0446  0.06
Goldenweiser 1946   30  0.5812  0.0218  0.0818  0.3521  0.272  0.31
Gornostaeva 1994   54  0.4950  0.0050  0.0840  0.0858  0.0444  0.06
Groot 1988   19  0.6011  0.0214  0.0930  0.2144  0.0631  0.11
Hatto 1993   33  0.5859  0.0043  0.0650  0.0658  0.0564  0.05
Hatto 1997   28  0.5941  0.0040  0.0742  0.0754  0.0642  0.06
Horszowski 1983   23  0.5922  0.0130  0.0927  0.2529  0.128  0.17
Indjic 2001   31  0.5844  0.0044  0.0653  0.0656  0.0559  0.05
Katin 1996   34  0.5819  0.0142  0.0746  0.0760  0.0454  0.05
Kiepura 1999   57  0.4652  0.0056  0.0561  0.0548  0.0647  0.05
Korecka 1992   52  0.5146  0.0055  0.0655  0.0663  0.0365  0.04
Kushner 1990   49  0.5531  0.0032  0.1031  0.1944  0.0534  0.10
Lilamand 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1990   32  0.5837  0.0034  0.0935  0.0956  0.0537  0.07
Luisada 2008   47  0.5553  0.0049  0.0652  0.0657  0.0455  0.05
Lushtak 2004   8  0.6225  0.0016  0.0810  0.4456  0.0514  0.15
Malcuzynski 1951   36  0.5816  0.0112  0.1013  0.3842  0.0615  0.15
Malcuzynski 1961   22  0.592  0.124  0.173  0.5562  0.0411  0.15
Magaloff 1977   29  0.589  0.0228  0.1215  0.3752  0.0613  0.15
Magin 1975   17  0.6048  0.0031  0.0929  0.2460  0.0433  0.10
Meguri 1997   6  0.627  0.059  0.1212  0.3950  0.0517  0.14
Milkina 1970   14  0.6147  0.0027  0.1020  0.3460  0.0522  0.13
Mohovich 1999   24  0.5921  0.0137  0.1033  0.1041  0.0735  0.08
Nezu 2005   40  0.5635  0.0039  0.0743  0.0760  0.0457  0.05
Ohlsson 1999   10  0.6220  0.0110  0.115  0.5357  0.0412  0.15
Olejniczak 1990   13  0.6155  0.0022  0.0619  0.3559  0.0525  0.13
Osinska 1989   9  0.6232  0.0026  0.0823  0.3359  0.0429  0.11
Perlemuter 1992   20  0.5927  0.0036  0.0934  0.0922  0.1726  0.12
Poblocka 1999   37  0.5760  0.0046  0.0654  0.0659  0.0550  0.05
Rangell 2001   12  0.6226  0.0021  0.0616  0.3741  0.0710  0.16
Richter 1960   60  0.4429  0.0062  0.0747  0.0748  0.0641  0.06
Richter 1961   63  0.3563  0.0063  0.0558  0.0548  0.0551  0.05
Rosen 1989   18  0.608  0.0323  0.0728  0.2557  0.0530  0.11
Rubinstein 1939   53  0.5151  0.0048  0.0744  0.0759  0.0539  0.06
Rubinstein 1952   25  0.5918  0.0115  0.089  0.4750  0.069  0.17
Rubinstein 1966   35  0.5813  0.0135  0.0836  0.0838  0.0736  0.07
Rudanovskaya 2007   26  0.5915  0.0119  0.0732  0.1230  0.1228  0.12
Shebanova 2002   21  0.5939  0.0020  0.0622  0.3354  0.0618  0.14
Smith 1975   4  0.6433  0.0011  0.127  0.5041  0.074  0.19
Sztompka 1959   5  0.6349  0.0013  0.1211  0.4427  0.241  0.32
Tanyel 1992   2  0.665  0.093  0.168  0.4940  0.075  0.19
Tsujii 2005   1  0.671  0.151  0.151  0.6855  0.063  0.20
Uninsky 1959   15  0.6123  0.018  0.1314  0.3753  0.0516  0.14
Vardi 1988   56  0.4856  0.0057  0.0557  0.0551  0.0653  0.05
Wasowski 1980   46  0.5543  0.0033  0.0841  0.0858  0.0438  0.06
Zimerman 1975   41  0.5624  0.0038  0.0748  0.0763  0.0462  0.05
Random 1   66  -0.0164  0.0066  0.0166  0.0119  0.2358  0.05
Random 2   64  0.0265  0.0064  0.0364  0.032  0.5724  0.13
Random 3   65  0.0062  0.0065  0.0265  0.0229  0.1560  0.05

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).