Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.0926  0.0032  0.0732  0.1557  0.0536  0.09
Ax 1995   46  0.434  0.119  0.1517  0.4621  0.3711  0.41
Bacha 1998   21  0.5137  0.0030  0.0729  0.1820  0.3018  0.23
Barbosa 1983   45  0.443  0.123  0.198  0.5916  0.554  0.57
BenOr 1989   52  0.4053  0.0055  0.0557  0.0556  0.0457  0.04
Biret 1990   41  0.4546  0.0029  0.0730  0.1854  0.0437  0.08
Brailowsky 1960   8  0.595  0.104  0.203  0.712  0.781  0.74
Chiu 1999   12  0.5430  0.0010  0.139  0.5717  0.378  0.46
Clidat 1994   39  0.4656  0.0025  0.1321  0.3727  0.2515  0.30
Cohen 1997   63  0.2255  0.0066  0.0265  0.0267  0.0167  0.01
Cortot 1951   19  0.5247  0.0049  0.0935  0.0959  0.0445  0.06
Csalog 1996   9  0.5939  0.0015  0.1413  0.5239  0.0720  0.19
Czerny 1989   32  0.4814  0.0120  0.1220  0.3741  0.0625  0.15
Ezaki 2006   17  0.5215  0.0122  0.0924  0.3546  0.0529  0.13
Falvay 1989   6  0.608  0.0313  0.1212  0.5351  0.0523  0.16
Fiorentino 1962   16  0.5267  0.0031  0.0731  0.1742  0.0734  0.11
Fliere 1977   23  0.5125  0.0021  0.1025  0.3429  0.1717  0.24
Fou 1978   5  0.6011  0.0214  0.1311  0.5424  0.2414  0.36
Francois 1956   43  0.4443  0.0041  0.0650  0.0622  0.4424  0.16
Goldenweiser 1946   3  0.632  0.132  0.162  0.746  0.632  0.68
Gornostaeva 1994   53  0.3933  0.0040  0.0641  0.0639  0.0744  0.06
Groot 1988   42  0.4562  0.0051  0.0559  0.0563  0.0359  0.04
Hatto 1993   34  0.4854  0.0044  0.0737  0.0736  0.0839  0.07
Hatto 1997   36  0.4828  0.0038  0.0652  0.0640  0.0640  0.06
Horszowski 1983   47  0.4312  0.0124  0.0923  0.3536  0.0722  0.16
Indjic 2001   28  0.4938  0.0047  0.0644  0.0638  0.0742  0.06
Katin 1996   18  0.5258  0.0039  0.0649  0.0655  0.0548  0.05
Kiepura 1999   50  0.4160  0.0033  0.0733  0.1547  0.0635  0.09
Korecka 1992   30  0.4922  0.0036  0.1034  0.1021  0.4419  0.21
Kushner 1990   11  0.5623  0.0017  0.1015  0.4812  0.459  0.46
Lilamand 2001   57  0.3744  0.0043  0.0736  0.0753  0.0449  0.05
Luisada 1990   49  0.4152  0.0050  0.0739  0.0758  0.0541  0.06
Luisada 2008   55  0.3816  0.0146  0.0642  0.0648  0.0550  0.05
Lushtak 2004   26  0.5041  0.0023  0.0926  0.2744  0.0630  0.13
Malcuzynski 1951   40  0.4518  0.0035  0.0647  0.0648  0.0552  0.05
Malcuzynski 1961   15  0.5310  0.0211  0.1514  0.4830  0.1716  0.29
Magaloff 1977   51  0.4031  0.0058  0.0648  0.0664  0.0354  0.04
Magin 1975   13  0.537  0.057  0.1610  0.5729  0.2910  0.41
Meguri 1997   58  0.3740  0.0067  0.0167  0.0167  0.0165  0.01
Milkina 1970   4  0.6113  0.016  0.175  0.6513  0.495  0.56
Mohovich 1999   10  0.589  0.028  0.247  0.6121  0.466  0.53
Nezu 2005   33  0.4857  0.0052  0.0556  0.0558  0.0456  0.04
Ohlsson 1999   22  0.5132  0.0019  0.1316  0.4722  0.3013  0.38
Olejniczak 1990   24  0.5119  0.0048  0.0643  0.0660  0.0453  0.05
Osinska 1989   27  0.5064  0.0054  0.0651  0.0660  0.0447  0.05
Perlemuter 1992   48  0.4320  0.0060  0.0360  0.0353  0.0360  0.03
Poblocka 1999   7  0.5917  0.0012  0.156  0.6222  0.357  0.47
Rangell 2001   54  0.3959  0.0059  0.0558  0.0562  0.0358  0.04
Richter 1960   61  0.3163  0.0063  0.0262  0.0267  0.0166  0.01
Richter 1961   25  0.5134  0.0016  0.1218  0.4324  0.3612  0.39
Rosen 1989   56  0.3861  0.0062  0.0361  0.0361  0.0361  0.03
Rubinstein 1939   20  0.5148  0.0027  0.0927  0.2639  0.0631  0.12
Rubinstein 1952   44  0.4449  0.0042  0.0740  0.0754  0.0546  0.06
Rubinstein 1966   29  0.4924  0.0018  0.1119  0.4246  0.0526  0.14
Rudanovskaya 2007   2  0.636  0.075  0.194  0.7011  0.553  0.62
Shebanova 2002   38  0.4750  0.0037  0.0653  0.0659  0.0451  0.05
Smith 1975   35  0.4827  0.0045  0.0646  0.0637  0.0838  0.07
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tanyel 1992   62  0.2342  0.0065  0.0266  0.0266  0.0263  0.02
Tsujii 2005   37  0.4766  0.0053  0.0645  0.0663  0.0355  0.04
Uninsky 1959   14  0.5336  0.0026  0.1322  0.3655  0.0432  0.12
Vardi 1988   31  0.4829  0.0028  0.0928  0.2249  0.0633  0.11
Wasowski 1980   60  0.3465  0.0064  0.0263  0.0262  0.0362  0.02
Zimerman 1975   59  0.3451  0.0034  0.0738  0.0750  0.0543  0.06
Average   1  0.671  0.221  0.211  0.7454  0.0521  0.19
Random 1   66  0.0521  0.0057  0.0555  0.057  0.4128  0.14
Random 2   65  0.0545  0.0056  0.0554  0.0516  0.3827  0.14
Random 3   67  -0.0335  0.0061  0.0264  0.0261  0.0364  0.02

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).