Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   27  0.4710  0.0021  0.0824  0.3620  0.469  0.41
Ax 1995   10  0.5220  0.0016  0.1118  0.4839  0.0922  0.21
Bacha 1998   56  0.3636  0.0052  0.0648  0.0634  0.1045  0.08
Barbosa 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
BenOr 1989   24  0.4838  0.0031  0.0732  0.1838  0.0839  0.12
Biret 1990   31  0.4640  0.0037  0.0838  0.0843  0.0752  0.07
Brailowsky 1960   46  0.4243  0.0042  0.0557  0.0559  0.0559  0.05
Chiu 1999   48  0.4126  0.0040  0.0743  0.0726  0.2934  0.14
Clidat 1994   22  0.494  0.0217  0.1117  0.4914  0.408  0.44
Cohen 1997   64  0.2755  0.0063  0.0463  0.0433  0.1848  0.08
Cortot 1951   54  0.3827  0.0059  0.0650  0.0622  0.3733  0.15
Csalog 1996   9  0.5323  0.0013  0.107  0.6322  0.395  0.50
Czerny 1989   7  0.543  0.038  0.1514  0.5231  0.2212  0.34
Ezaki 2006   4  0.568  0.004  0.204  0.7015  0.481  0.58
Falvay 1989   2  0.5613  0.003  0.282  0.7532  0.1811  0.37
Fiorentino 1962   21  0.5028  0.0020  0.1120  0.4740  0.0920  0.21
Fliere 1977   50  0.4064  0.0051  0.0645  0.0658  0.0557  0.05
Fou 1978   6  0.549  0.005  0.216  0.6625  0.316  0.45
Francois 1956   55  0.3641  0.0058  0.0460  0.0457  0.0567  0.04
Goldenweiser 1946   43  0.4322  0.0047  0.0651  0.0629  0.1443  0.09
Gornostaeva 1994   40  0.446  0.0148  0.0741  0.0727  0.3432  0.15
Groot 1988   33  0.4631  0.0032  0.0731  0.1848  0.0642  0.10
Hatto 1993   12  0.5248  0.0010  0.169  0.6133  0.1614  0.31
Hatto 1997   11  0.5242  0.006  0.188  0.6330  0.2310  0.38
Horszowski 1983   52  0.3930  0.0049  0.0744  0.0714  0.4328  0.17
Indjic 2001   14  0.5153  0.0011  0.1710  0.6135  0.1018  0.25
Katin 1996   17  0.5137  0.0012  0.1012  0.5437  0.0919  0.22
Kiepura 1999   16  0.517  0.0115  0.1013  0.5424  0.514  0.52
Korecka 1992   34  0.4650  0.0033  0.0733  0.1415  0.5117  0.27
Kushner 1990   42  0.4356  0.0043  0.0839  0.0853  0.0649  0.07
Lilamand 2001   60  0.3644  0.0055  0.0653  0.0622  0.2438  0.12
Luisada 1990   38  0.4525  0.0038  0.0836  0.0846  0.0847  0.08
Luisada 2008   53  0.3962  0.0057  0.0462  0.0450  0.0563  0.04
Lushtak 2004   20  0.5019  0.0014  0.1319  0.4739  0.0727  0.18
Malcuzynski 1951   39  0.4421  0.0039  0.0740  0.0739  0.0753  0.07
Malcuzynski 1961   3  0.562  0.092  0.393  0.7124  0.403  0.53
Magaloff 1977   58  0.3654  0.0054  0.0461  0.0450  0.0564  0.04
Magin 1975   8  0.5317  0.009  0.1511  0.6029  0.337  0.44
Meguri 1997   49  0.4016  0.0050  0.0646  0.0634  0.1046  0.08
Milkina 1970   36  0.4549  0.0034  0.0934  0.0941  0.0944  0.09
Mohovich 1999   26  0.4759  0.0027  0.1425  0.3437  0.0731  0.15
Nezu 2005   35  0.4558  0.0036  0.0835  0.0834  0.1341  0.10
Ohlsson 1999   25  0.4851  0.0030  0.0730  0.2144  0.0737  0.12
Olejniczak 1990   29  0.4715  0.0026  0.0927  0.2833  0.1623  0.21
Osinska 1989   23  0.4814  0.0023  0.1121  0.4542  0.0825  0.19
Perlemuter 1992   63  0.2861  0.0064  0.0556  0.0542  0.0558  0.05
Poblocka 1999   37  0.4532  0.0045  0.0649  0.0649  0.0754  0.06
Rangell 2001   59  0.3618  0.0060  0.0555  0.0552  0.0562  0.05
Richter 1960   45  0.4239  0.0041  0.0742  0.0725  0.2636  0.13
Richter 1961   44  0.4224  0.0035  0.0837  0.0816  0.4626  0.19
Rosen 1989   57  0.3647  0.0056  0.0464  0.0455  0.0566  0.04
Rubinstein 1939   28  0.4746  0.0028  0.1028  0.2737  0.0930  0.16
Rubinstein 1952   32  0.4634  0.0029  0.0929  0.2440  0.0835  0.14
Rubinstein 1966   19  0.5029  0.0022  0.1023  0.4341  0.0729  0.17
Rudanovskaya 2007   61  0.3552  0.0061  0.0558  0.0546  0.0561  0.05
Shebanova 2002   41  0.4411  0.0044  0.0554  0.0554  0.0560  0.05
Smith 1975   51  0.4063  0.0053  0.0647  0.0650  0.0755  0.06
Sztompka 1959   30  0.4733  0.0024  0.1226  0.2823  0.4113  0.34
Tanyel 1992   47  0.4260  0.0046  0.0652  0.0639  0.0850  0.07
Tsujii 2005   13  0.5135  0.0019  0.0916  0.5042  0.0824  0.20
Uninsky 1959   18  0.5045  0.0018  0.1215  0.5132  0.1515  0.28
Vardi 1988   5  0.565  0.017  0.135  0.6722  0.472  0.56
Wasowski 1980   62  0.3457  0.0062  0.0559  0.0550  0.0656  0.05
Zimerman 1975   15  0.5112  0.0025  0.1522  0.4337  0.1021  0.21
Average   1  0.631  0.751  0.741  0.8941  0.0916  0.28
Random 1   67  0.0065  0.0066  0.0266  0.0219  0.2351  0.07
Random 2   66  0.0367  0.0067  0.0167  0.0131  0.1465  0.04
Random 3   65  0.0466  0.0065  0.0365  0.0312  0.3740  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).