Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.0926  0.0031  0.0731  0.1556  0.0535  0.09
Ax 1995   45  0.435  0.118  0.1516  0.4620  0.3711  0.41
Bacha 1998   20  0.5136  0.0029  0.0728  0.1819  0.3018  0.23
Barbosa 1983   44  0.442  0.152  0.197  0.5915  0.554  0.57
BenOr 1989   51  0.4052  0.0054  0.0556  0.0555  0.0456  0.04
Biret 1990   40  0.4546  0.0028  0.0729  0.1853  0.0436  0.08
Brailowsky 1960   7  0.594  0.123  0.202  0.712  0.781  0.74
Chiu 1999   11  0.5416  0.019  0.138  0.5716  0.378  0.46
Clidat 1994   38  0.4655  0.0024  0.1320  0.3726  0.2515  0.30
Cohen 1997   62  0.2254  0.0065  0.0264  0.0266  0.0166  0.01
Cortot 1951   18  0.5247  0.0048  0.0934  0.0958  0.0444  0.06
Csalog 1996   8  0.5938  0.0014  0.1412  0.5238  0.0720  0.19
Czerny 1989   31  0.4813  0.0119  0.1219  0.3740  0.0625  0.15
Ezaki 2006   16  0.5214  0.0121  0.0923  0.3545  0.0626  0.14
Falvay 1989   5  0.607  0.0412  0.1211  0.5350  0.0522  0.16
Fiorentino 1962   15  0.5266  0.0030  0.0730  0.1741  0.0733  0.11
Fliere 1977   22  0.5123  0.0020  0.1024  0.3428  0.1717  0.24
Fou 1978   4  0.6011  0.0213  0.1310  0.5423  0.2414  0.36
Francois 1956   42  0.4442  0.0040  0.0649  0.0621  0.4424  0.16
Goldenweiser 1946   2  0.631  0.161  0.161  0.745  0.632  0.68
Gornostaeva 1994   52  0.3932  0.0039  0.0740  0.0738  0.0738  0.07
Groot 1988   41  0.4561  0.0050  0.0558  0.0562  0.0358  0.04
Hatto 1993   33  0.4853  0.0043  0.0736  0.0735  0.0839  0.07
Hatto 1997   35  0.4827  0.0037  0.0651  0.0639  0.0640  0.06
Horszowski 1983   46  0.4312  0.0123  0.0922  0.3535  0.0821  0.17
Indjic 2001   27  0.4937  0.0046  0.0643  0.0637  0.0742  0.06
Katin 1996   17  0.5257  0.0038  0.0648  0.0654  0.0547  0.05
Kiepura 1999   49  0.4159  0.0032  0.0832  0.1546  0.0634  0.09
Korecka 1992   29  0.4922  0.0035  0.1033  0.1020  0.4419  0.21
Kushner 1990   10  0.5624  0.0016  0.1014  0.4811  0.459  0.46
Lilamand 2001   56  0.3743  0.0042  0.0735  0.0752  0.0448  0.05
Luisada 1990   48  0.4151  0.0049  0.0738  0.0757  0.0541  0.06
Luisada 2008   54  0.3815  0.0145  0.0641  0.0647  0.0549  0.05
Lushtak 2004   25  0.5040  0.0022  0.0925  0.2743  0.0629  0.13
Malcuzynski 1951   39  0.4518  0.0034  0.0646  0.0647  0.0551  0.05
Malcuzynski 1961   14  0.539  0.0210  0.1513  0.4829  0.1716  0.29
Magaloff 1977   50  0.4030  0.0057  0.0647  0.0663  0.0353  0.04
Magin 1975   12  0.536  0.086  0.169  0.5728  0.2910  0.41
Meguri 1997   57  0.3739  0.0066  0.0166  0.0166  0.0164  0.01
Milkina 1970   3  0.6110  0.025  0.184  0.6512  0.495  0.56
Mohovich 1999   9  0.588  0.037  0.246  0.6120  0.466  0.53
Nezu 2005   32  0.4856  0.0051  0.0555  0.0557  0.0455  0.04
Ohlsson 1999   21  0.5131  0.0018  0.1315  0.4721  0.3013  0.38
Olejniczak 1990   23  0.5119  0.0047  0.0642  0.0659  0.0452  0.05
Osinska 1989   26  0.5063  0.0053  0.0650  0.0659  0.0446  0.05
Perlemuter 1992   47  0.4320  0.0059  0.0359  0.0352  0.0359  0.03
Poblocka 1999   6  0.5917  0.0011  0.165  0.6221  0.357  0.47
Rangell 2001   53  0.3958  0.0058  0.0557  0.0561  0.0357  0.04
Richter 1960   60  0.3162  0.0062  0.0261  0.0266  0.0165  0.01
Richter 1961   24  0.5133  0.0015  0.1317  0.4323  0.3612  0.39
Rosen 1989   55  0.3860  0.0061  0.0360  0.0360  0.0360  0.03
Rubinstein 1939   19  0.5148  0.0026  0.0926  0.2638  0.0630  0.12
Rubinstein 1952   43  0.4449  0.0041  0.0739  0.0753  0.0545  0.06
Rubinstein 1966   28  0.4925  0.0017  0.1118  0.4245  0.0623  0.16
Rudanovskaya 2007   1  0.633  0.144  0.193  0.7010  0.553  0.62
Shebanova 2002   37  0.4745  0.0036  0.0652  0.0658  0.0450  0.05
Smith 1975   34  0.4828  0.0044  0.0645  0.0636  0.0837  0.07
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tanyel 1992   61  0.2341  0.0064  0.0265  0.0265  0.0262  0.02
Tsujii 2005   36  0.4765  0.0052  0.0644  0.0662  0.0354  0.04
Uninsky 1959   13  0.5335  0.0025  0.1321  0.3654  0.0431  0.12
Vardi 1988   30  0.4829  0.0027  0.0927  0.2248  0.0632  0.11
Wasowski 1980   59  0.3464  0.0063  0.0262  0.0261  0.0361  0.02
Zimerman 1975   58  0.3450  0.0033  0.0737  0.0749  0.0543  0.06
Random 1   65  0.0521  0.0056  0.0554  0.057  0.4128  0.14
Random 2   64  0.0544  0.0055  0.0553  0.0516  0.3827  0.14
Random 3   66  -0.0334  0.0060  0.0263  0.0260  0.0363  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).