Neighaus 1950

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.3743  0.0031  0.0532  0.2535  0.2110  0.23
Anderszewski 2003   44  0.3387  0.0036  0.0935  0.1975  0.0340  0.08
Ashkenazy 1981   3  0.496  0.024  0.213  0.652  0.602  0.62
Bacha 2000   46  0.3350  0.0038  0.0537  0.1546  0.0637  0.09
Badura 1965   34  0.3518  0.0133  0.0629  0.2754  0.0626  0.13
Barbosa 1983   57  0.3061  0.0070  0.0460  0.0469  0.0563  0.04
Biret 1990   53  0.3241  0.0051  0.0557  0.0584  0.0367  0.04
Blet 2003   16  0.4224  0.0011  0.1511  0.527  0.478  0.49
Block 1995   63  0.2715  0.0125  0.0933  0.2359  0.0534  0.11
Blumental 1952   71  0.2588  0.0057  0.0470  0.0487  0.0381  0.03
Boshniakovich 1969   9  0.4610  0.027  0.195  0.5961  0.0612  0.19
Brailowsky 1960   73  0.2589  0.0050  0.0648  0.0666  0.0551  0.05
Bunin 1987   49  0.3225  0.0037  0.0543  0.1142  0.1135  0.11
Bunin 1987b   61  0.2913  0.0163  0.0464  0.0445  0.1049  0.06
Chiu 1999   72  0.2563  0.0079  0.0374  0.0385  0.0285  0.02
Cohen 1997   69  0.2674  0.0062  0.0558  0.0585  0.0366  0.04
Cortot 1951   81  0.2251  0.0055  0.0559  0.0553  0.0658  0.05
Csalog 1996   79  0.2382  0.0077  0.0284  0.0286  0.0287  0.02
Czerny 1949   6  0.4819  0.0112  0.1310  0.5444  0.159  0.28
Czerny 1990   8  0.4728  0.008  0.137  0.5763  0.0515  0.17
Duchoud 2007   85  0.2029  0.0084  0.0372  0.0358  0.0564  0.04
Ezaki 2006   80  0.2375  0.0086  0.0280  0.0282  0.0383  0.02
Falvay 1989   45  0.3365  0.0071  0.0646  0.0679  0.0454  0.05
Farrell 1958   31  0.3620  0.0044  0.0541  0.1167  0.0445  0.07
Ferenczy 1958   62  0.2839  0.0053  0.0554  0.0554  0.0656  0.05
Fliere 1977   41  0.3356  0.0039  0.0538  0.1377  0.0443  0.07
Fou 1978   28  0.3777  0.0023  0.0715  0.4563  0.0424  0.13
Francois 1956   11  0.448  0.0210  0.128  0.554  0.565  0.55
Friedman 1923   10  0.4614  0.012  0.349  0.5514  0.526  0.53
Friedman 1923b   5  0.481  0.431  0.436  0.5911  0.544  0.56
Friedman 1930   35  0.3545  0.0035  0.0830  0.2643  0.1511  0.20
Garcia 2007   87  0.1738  0.0088  0.0379  0.0383  0.0288  0.02
Garcia 2007b   75  0.2490  0.0076  0.0283  0.0283  0.0290  0.02
Gierzod 1998   7  0.474  0.089  0.1314  0.4955  0.0518  0.16
Gornostaeva 1994   23  0.3837  0.0027  0.0731  0.2570  0.0339  0.09
Groot 1988   64  0.2711  0.0146  0.0647  0.0683  0.0368  0.04
Harasiewicz 1955   20  0.3942  0.0034  0.0734  0.2263  0.0536  0.10
Hatto 1993   39  0.3371  0.0016  0.1519  0.4358  0.0427  0.13
Hatto 1997   55  0.3291  0.0022  0.0924  0.3677  0.0429  0.12
Horowitz 1949   78  0.2452  0.0078  0.0373  0.0363  0.0562  0.04
Indjic 1988   43  0.3366  0.0017  0.1422  0.4180  0.0333  0.11
Kapell 1951   54  0.3267  0.0056  0.0469  0.0474  0.0374  0.03
Kissin 1993   4  0.493  0.096  0.234  0.6132  0.427  0.51
Kushner 1989   30  0.3772  0.0048  0.0650  0.0682  0.0359  0.04
Luisada 1991   58  0.3035  0.0060  0.0465  0.0479  0.0370  0.03
Lushtak 2004   12  0.4323  0.0013  0.1412  0.5264  0.0422  0.14
Malcuzynski 1961   40  0.3362  0.0061  0.0552  0.0579  0.0361  0.04
Magaloff 1978   33  0.3659  0.0040  0.0540  0.1268  0.0347  0.06
Magin 1975   38  0.3426  0.0042  0.0442  0.1169  0.0444  0.07
Michalowski 1933   84  0.2136  0.0081  0.0288  0.0240  0.1355  0.05
Milkina 1970   47  0.3376  0.0066  0.0556  0.0583  0.0360  0.04
Mohovich 1999   70  0.2578  0.0058  0.0462  0.0462  0.0465  0.04
Moravec 1969   67  0.2679  0.0075  0.0285  0.0284  0.0284  0.02
Morozova 2008   32  0.3657  0.0043  0.0639  0.1365  0.0541  0.08
Neighaus 1950   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   66  0.2644  0.0067  0.0555  0.0549  0.0748  0.06
Ohlsson 1999   26  0.3747  0.0041  0.0544  0.1061  0.0546  0.07
Osinska 1989   37  0.3440  0.0064  0.0466  0.0487  0.0271  0.03
Pachmann 1927   52  0.3258  0.0049  0.0649  0.0631  0.3120  0.14
Paderewski 1930   22  0.3927  0.0014  0.1613  0.503  0.663  0.57
Perlemuter 1992   42  0.3322  0.0054  0.0463  0.0446  0.0750  0.05
Pierdomenico 2008   65  0.2733  0.0073  0.0376  0.0379  0.0373  0.03
Poblocka 1999   48  0.3221  0.0030  0.0636  0.1977  0.0438  0.09
Rabcewiczowa 1932   25  0.3732  0.0024  0.0817  0.4374  0.0331  0.11
Rachmaninoff 1923   74  0.2534  0.0052  0.0651  0.0673  0.0453  0.05
Rangell 2001   17  0.4012  0.0128  0.0826  0.3544  0.1013  0.19
Richter 1976   14  0.425  0.0418  0.1125  0.3657  0.0428  0.12
Rosen 1989   59  0.3083  0.0072  0.0282  0.0264  0.0480  0.03
Rosenthal 1930   51  0.3255  0.0045  0.0545  0.0939  0.2025  0.13
Rosenthal 1931   86  0.1980  0.0080  0.0378  0.0377  0.0477  0.03
Rosenthal 1931b   82  0.2231  0.0074  0.0281  0.0261  0.0482  0.03
Rosenthal 1931c   68  0.2649  0.0069  0.0468  0.0470  0.0469  0.04
Rosenthal 1931d   88  0.1573  0.0087  0.0375  0.0386  0.0289  0.02
Rossi 2007   76  0.2468  0.0083  0.0377  0.0378  0.0372  0.03
Rubinstein 1939   24  0.3816  0.0126  0.0823  0.3772  0.0330  0.11
Rubinstein 1952   19  0.4084  0.0021  0.1021  0.4255  0.0619  0.16
Rubinstein 1966   15  0.4285  0.0020  0.0820  0.4353  0.0616  0.16
Schilhawsky 1960   50  0.329  0.0265  0.0461  0.0477  0.0378  0.03
Shebanova 2002   13  0.4330  0.0015  0.1516  0.4450  0.0617  0.16
Smith 1975   36  0.3517  0.0119  0.0818  0.4353  0.0714  0.17
Sokolov 2002   29  0.3769  0.0047  0.0553  0.0557  0.0552  0.05
Sztompka 1959   1  0.542  0.123  0.251  0.737  0.681  0.70
Tomsic 1995   83  0.2154  0.0085  0.0287  0.0283  0.0386  0.02
Uninsky 1932   77  0.2448  0.0082  0.0286  0.0269  0.0479  0.03
Uninsky 1971   18  0.4060  0.0032  0.0727  0.3278  0.0432  0.11
Wasowski 1980   21  0.3946  0.0029  0.0828  0.3267  0.0523  0.13
Zak 1937   56  0.3186  0.0059  0.0467  0.0483  0.0375  0.03
Zak 1951   60  0.3081  0.0068  0.0471  0.0488  0.0276  0.03
Average   2  0.537  0.025  0.272  0.6785  0.0321  0.14
Random 1   89  -0.0153  0.0089  0.0290  0.0226  0.3042  0.08
Random 2   91  -0.0864  0.0091  0.0191  0.0189  0.0191  0.01
Random 3   90  -0.0670  0.0090  0.0289  0.0243  0.1357  0.05

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).