Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.3446  0.0046  0.0744  0.0745  0.0659  0.06
Ax 1995   40  0.5017  0.0014  0.1323  0.3431  0.2118  0.27
Bacha 1998   38  0.518  0.0136  0.0842  0.0814  0.5526  0.21
Barbosa 1983   56  0.4350  0.0045  0.0653  0.0639  0.0849  0.07
BenOr 1989   11  0.586  0.0116  0.1515  0.4627  0.3711  0.41
Biret 1990   26  0.5342  0.0028  0.0920  0.3731  0.1919  0.27
Brailowsky 1960   10  0.587  0.017  0.187  0.6311  0.622  0.62
Chiu 1999   50  0.4551  0.0047  0.1034  0.1022  0.4325  0.21
Clidat 1994   42  0.4920  0.0033  0.0833  0.1513  0.4022  0.24
Cohen 1997   62  0.3849  0.0062  0.0363  0.0313  0.5241  0.12
Cortot 1951   53  0.4444  0.0064  0.0655  0.0660  0.0464  0.05
Csalog 1996   33  0.5252  0.0034  0.0838  0.0851  0.0558  0.06
Czerny 1989   36  0.5136  0.0031  0.1029  0.2735  0.0932  0.16
Ezaki 2006   27  0.5318  0.0043  0.0649  0.0643  0.0654  0.06
Falvay 1989   4  0.6225  0.003  0.214  0.6946  0.0724  0.22
Fiorentino 1962   43  0.4964  0.0044  0.0648  0.0645  0.0851  0.07
Fliere 1977   39  0.5056  0.0037  0.0841  0.0836  0.0847  0.08
Fou 1978   18  0.5531  0.0026  0.0824  0.3344  0.0733  0.15
Francois 1956   47  0.4629  0.0038  0.0837  0.0817  0.3730  0.17
Goldenweiser 1946   54  0.4459  0.0059  0.0460  0.0452  0.0565  0.04
Gornostaeva 1994   57  0.4215  0.0056  0.0558  0.0536  0.0952  0.07
Groot 1988   28  0.5345  0.0030  0.0830  0.2636  0.0837  0.14
Hatto 1993   23  0.5467  0.0032  0.0732  0.1739  0.0743  0.11
Hatto 1997   21  0.5448  0.0029  0.0827  0.2950  0.0638  0.13
Horszowski 1983   59  0.4258  0.0053  0.0651  0.0630  0.2340  0.12
Indjic 2001   17  0.5653  0.0025  0.0728  0.2942  0.0736  0.14
Katin 1996   5  0.6012  0.015  0.195  0.6822  0.407  0.52
Kiepura 1999   60  0.4154  0.0057  0.0462  0.0450  0.0660  0.05
Korecka 1992   55  0.4365  0.0058  0.0461  0.0447  0.0857  0.06
Kushner 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lilamand 2001   63  0.3760  0.0061  0.0364  0.0356  0.0466  0.03
Luisada 1990   19  0.5519  0.0020  0.1118  0.3930  0.2115  0.29
Luisada 2008   41  0.5027  0.0022  0.0931  0.2519  0.5714  0.38
Lushtak 2004   31  0.5210  0.0124  0.0821  0.3647  0.0634  0.15
Malcuzynski 1951   32  0.5235  0.0035  0.0840  0.0858  0.0653  0.07
Malcuzynski 1961   12  0.5733  0.0012  0.1811  0.5634  0.1021  0.24
Magaloff 1977   46  0.4632  0.0052  0.0746  0.0733  0.1642  0.11
Magin 1975   16  0.5614  0.0017  0.1322  0.3540  0.0829  0.17
Meguri 1997   49  0.4563  0.0055  0.0557  0.0542  0.0661  0.05
Milkina 1970   2  0.622  0.052  0.523  0.7110  0.611  0.66
Mohovich 1999   29  0.5324  0.0018  0.1117  0.4227  0.2016  0.29
Nezu 2005   20  0.553  0.0223  0.1026  0.2949  0.0735  0.14
Ohlsson 1999   15  0.5613  0.008  0.129  0.5815  0.516  0.54
Olejniczak 1990   22  0.5434  0.0021  0.0925  0.3330  0.2317  0.28
Osinska 1989   3  0.625  0.014  0.242  0.7120  0.434  0.55
Perlemuter 1992   58  0.4261  0.0063  0.0459  0.0433  0.1055  0.06
Poblocka 1999   9  0.5811  0.0115  0.1514  0.4726  0.3412  0.40
Rangell 2001   45  0.4739  0.0050  0.0747  0.0728  0.2539  0.13
Richter 1960   48  0.4640  0.0054  0.0652  0.0658  0.0562  0.05
Richter 1961   61  0.3955  0.0060  0.0654  0.0640  0.0656  0.06
Rosen 1989   44  0.4843  0.0048  0.0936  0.0943  0.0650  0.07
Rubinstein 1939   8  0.584  0.0213  0.2013  0.5518  0.535  0.54
Rubinstein 1952   13  0.5726  0.006  0.146  0.6413  0.583  0.61
Rubinstein 1966   14  0.5623  0.0011  0.208  0.6024  0.458  0.52
Rudanovskaya 2007   35  0.5228  0.0042  0.0745  0.079  0.4927  0.19
Shebanova 2002   30  0.5238  0.0027  0.0919  0.3915  0.5110  0.45
Smith 1975   37  0.5116  0.0039  0.1035  0.1034  0.0946  0.09
Sztompka 1959   25  0.5422  0.0040  0.0743  0.0720  0.4428  0.18
Tanyel 1992   51  0.4437  0.0051  0.0556  0.0548  0.0663  0.05
Tsujii 2005   7  0.6041  0.0010  0.1510  0.5738  0.0923  0.23
Uninsky 1959   6  0.6030  0.009  0.1612  0.5615  0.469  0.51
Vardi 1988   24  0.5421  0.0019  0.1216  0.4527  0.3213  0.38
Wasowski 1980   34  0.529  0.0141  0.0650  0.0617  0.4531  0.16
Zimerman 1975   52  0.4447  0.0049  0.0839  0.0839  0.0848  0.08
Average   1  0.711  0.791  0.781  0.9145  0.0720  0.25
Random 1   67  0.0057  0.0067  0.0167  0.0134  0.0667  0.02
Random 2   65  0.0466  0.0066  0.0266  0.027  0.4644  0.10
Random 3   66  0.0362  0.0065  0.0265  0.024  0.4945  0.10

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).