Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   38  0.5124  0.0014  0.1024  0.484  0.6713  0.57
Ax 1995   23  0.5736  0.0012  0.1016  0.5713  0.5017  0.53
Bacha 1998   50  0.4556  0.0037  0.0745  0.0724  0.3337  0.15
Barbosa 1983   39  0.5110  0.0133  0.1036  0.1021  0.4332  0.21
BenOr 1989   16  0.5929  0.0019  0.1215  0.5717  0.5315  0.55
Biret 1990   27  0.559  0.0129  0.1928  0.4320  0.3625  0.39
Brailowsky 1960   47  0.4643  0.0036  0.0839  0.0853  0.0648  0.07
Chiu 1999   52  0.4533  0.0058  0.0458  0.0452  0.0562  0.04
Clidat 1994   53  0.4432  0.0049  0.0650  0.0653  0.0559  0.05
Cohen 1997   63  0.3846  0.0063  0.0652  0.0618  0.4436  0.16
Cortot 1951   58  0.4318  0.0061  0.0363  0.0349  0.0564  0.04
Csalog 1996   29  0.5540  0.0035  0.1135  0.1130  0.1539  0.13
Czerny 1989   18  0.5831  0.0028  0.1627  0.4523  0.3823  0.41
Ezaki 2006   22  0.5722  0.0023  0.0926  0.4822  0.3822  0.43
Falvay 1989   1  0.681  0.621  0.611  0.816  0.682  0.74
Fiorentino 1962   5  0.633  0.082  0.215  0.6910  0.625  0.65
Fliere 1977   30  0.5435  0.0021  0.1029  0.4217  0.4621  0.44
Fou 1978   7  0.625  0.027  0.249  0.647  0.656  0.64
Francois 1956   60  0.4251  0.0056  0.0461  0.0452  0.0565  0.04
Goldenweiser 1946   59  0.4258  0.0060  0.0556  0.0560  0.0461  0.04
Gornostaeva 1994   48  0.4548  0.0051  0.0553  0.0528  0.3240  0.13
Groot 1988   31  0.5447  0.0031  0.1031  0.2645  0.0741  0.13
Hatto 1993   9  0.6116  0.009  0.158  0.6413  0.5710  0.60
Hatto 1997   12  0.6028  0.0017  0.1311  0.6120  0.4518  0.52
Horszowski 1983   57  0.4345  0.0055  0.0362  0.0326  0.2744  0.09
Indjic 2001   11  0.6052  0.0010  0.1210  0.6320  0.5112  0.57
Katin 1996   21  0.5727  0.0027  0.1422  0.4942  0.0834  0.20
Kiepura 1999   17  0.5934  0.0018  0.1317  0.5210  0.699  0.60
Korecka 1992   13  0.6011  0.0111  0.1013  0.573  0.754  0.65
Kushner 1990   54  0.4454  0.0047  0.0938  0.0938  0.0847  0.08
Lilamand 2001   40  0.5119  0.0041  0.0743  0.074  0.6433  0.21
Luisada 1990   19  0.5715  0.0024  0.1220  0.5219  0.4020  0.46
Luisada 2008   28  0.5514  0.0132  0.1132  0.2121  0.5028  0.32
Lushtak 2004   15  0.5942  0.0026  0.1119  0.5223  0.2924  0.39
Malcuzynski 1951   35  0.5220  0.0045  0.1233  0.1245  0.0746  0.09
Malcuzynski 1961   14  0.6013  0.0120  0.1314  0.5730  0.2026  0.34
Magaloff 1977   61  0.4159  0.0057  0.0459  0.0459  0.0463  0.04
Magin 1975   6  0.6212  0.018  0.107  0.656  0.627  0.63
Meguri 1997   49  0.4557  0.0052  0.0649  0.0634  0.0851  0.07
Milkina 1970   25  0.5650  0.0022  0.1223  0.4941  0.0931  0.21
Mohovich 1999   42  0.5060  0.0040  0.0741  0.0739  0.0654  0.06
Nezu 2005   8  0.617  0.0115  0.1112  0.6115  0.5114  0.56
Ohlsson 1999   32  0.5339  0.0038  0.0744  0.0745  0.0750  0.07
Olejniczak 1990   20  0.5744  0.0016  0.1121  0.5113  0.5916  0.55
Osinska 1989   4  0.636  0.026  0.253  0.7115  0.528  0.61
Perlemuter 1992   62  0.4061  0.0062  0.0460  0.0436  0.0656  0.05
Poblocka 1999   24  0.5621  0.0030  0.1430  0.3127  0.2729  0.29
Rangell 2001   46  0.4662  0.0050  0.0554  0.0534  0.0952  0.07
Richter 1960   56  0.4438  0.0053  0.0651  0.0645  0.0558  0.05
Richter 1961   44  0.4749  0.0046  0.1134  0.1114  0.4830  0.23
Rosen 1989   37  0.5130  0.0039  0.0748  0.0734  0.1145  0.09
Rubinstein 1939   33  0.534  0.0413  0.1118  0.5220  0.5019  0.51
Rubinstein 1952   36  0.5255  0.0034  0.0937  0.0932  0.1842  0.13
Rubinstein 1966   26  0.5637  0.0025  0.1525  0.4829  0.2327  0.33
Rudanovskaya 2007   51  0.4553  0.0059  0.0557  0.0541  0.0660  0.05
Shebanova 2002   34  0.5223  0.0042  0.0746  0.0724  0.3635  0.16
Smith 1975   55  0.4464  0.0054  0.0555  0.0554  0.0657  0.05
Sztompka 1959   43  0.4817  0.0044  0.0840  0.0831  0.2938  0.15
Tanyel 1992   10  0.602  0.093  0.196  0.693  0.773  0.73
Tsujii 2005   2  0.6426  0.005  0.244  0.7018  0.4811  0.58
Uninsky 1959   41  0.5141  0.0043  0.0742  0.0743  0.0749  0.07
Vardi 1988   3  0.648  0.014  0.282  0.733  0.791  0.76
Wasowski 1980   45  0.4625  0.0048  0.0747  0.0731  0.2143  0.12
Zimerman 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   65  0.0063  0.0065  0.0265  0.0222  0.1953  0.06
Random 2   66  -0.0165  0.0066  0.0166  0.0157  0.0366  0.02
Random 3   64  0.0166  0.0064  0.0264  0.0221  0.1955  0.06

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).