Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.5555  0.0039  0.0637  0.2226  0.2041  0.21
Anderszewski 2003   73  0.3646  0.0069  0.0462  0.0463  0.0380  0.03
Ashkenazy 1981   25  0.577  0.0211  0.0924  0.4026  0.3429  0.37
Bacha 2000   31  0.5421  0.0148  0.0747  0.075  0.5842  0.20
Badura 1965   53  0.4333  0.0037  0.0634  0.267  0.5227  0.37
Barbosa 1983   49  0.4551  0.0033  0.0836  0.2327  0.4033  0.30
Biret 1990   57  0.4276  0.0064  0.0467  0.0465  0.0474  0.04
Blet 2003   36  0.5162  0.0054  0.0557  0.0551  0.0560  0.05
Block 1995   28  0.5527  0.0032  0.0731  0.3113  0.4428  0.37
Blumental 1952   79  0.3018  0.0162  0.0472  0.0467  0.0473  0.04
Boshniakovich 1969   22  0.588  0.026  0.1410  0.508  0.607  0.55
Brailowsky 1960   16  0.6016  0.0128  0.0729  0.374  0.5419  0.45
Bunin 1987   44  0.4715  0.0159  0.0748  0.0751  0.0657  0.06
Bunin 1987b   45  0.4720  0.0158  0.0471  0.0452  0.0659  0.05
Chiu 1999   26  0.5738  0.0024  0.0916  0.4511  0.5810  0.51
Cohen 1997   61  0.4167  0.0060  0.0465  0.0423  0.3551  0.12
Cortot 1951   80  0.2770  0.0086  0.0474  0.0485  0.0285  0.03
Csalog 1996   56  0.4374  0.0052  0.0554  0.0523  0.4150  0.14
Czerny 1949   72  0.3635  0.0068  0.0473  0.0444  0.1355  0.07
Czerny 1990   39  0.5036  0.0043  0.0742  0.1738  0.1647  0.16
Duchoud 2007   65  0.3971  0.0071  0.0460  0.0458  0.0572  0.04
Ezaki 2006   21  0.5872  0.0029  0.0728  0.3821  0.3430  0.36
Falvay 1989   2  0.714  0.033  0.205  0.583  0.702  0.64
Farrell 1958   43  0.4745  0.0053  0.0556  0.0514  0.4049  0.14
Ferenczy 1958   75  0.3511  0.0181  0.0380  0.0366  0.0381  0.03
Fliere 1977   5  0.6514  0.014  0.194  0.595  0.644  0.61
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   41  0.4839  0.0027  0.0832  0.2826  0.3135  0.29
Friedman 1923   88  0.0786  0.0088  0.0287  0.0269  0.0487  0.03
Friedman 1923b   87  0.0882  0.0087  0.0288  0.0278  0.0484  0.03
Friedman 1930   85  0.1744  0.0077  0.0379  0.0356  0.0571  0.04
Garcia 2007   82  0.2479  0.0083  0.0385  0.0368  0.0383  0.03
Garcia 2007b   83  0.2187  0.0085  0.0470  0.0465  0.0386  0.03
Gierzod 1998   46  0.4747  0.0035  0.0645  0.1426  0.2244  0.18
Gornostaeva 1994   30  0.5575  0.0020  0.0625  0.3815  0.4226  0.40
Groot 1988   9  0.6356  0.0019  0.0622  0.4215  0.4325  0.42
Harasiewicz 1955   34  0.5332  0.0022  0.1127  0.3822  0.3232  0.35
Hatto 1993   67  0.3768  0.0065  0.0475  0.0469  0.0475  0.04
Hatto 1997   64  0.3948  0.0047  0.0749  0.0764  0.0461  0.05
Horowitz 1949   42  0.4852  0.0041  0.0838  0.2225  0.3138  0.26
Indjic 1988   68  0.3780  0.0066  0.0558  0.0567  0.0469  0.04
Kapell 1951   69  0.3750  0.0074  0.0476  0.0457  0.0466  0.04
Kissin 1993   1  0.731  0.411  0.411  0.692  0.731  0.71
Kushner 1989   23  0.5843  0.0025  0.0826  0.389  0.4922  0.43
Luisada 1991   27  0.5617  0.0126  0.0918  0.4311  0.4621  0.44
Lushtak 2004   14  0.616  0.0314  0.0714  0.4718  0.4618  0.46
Malcuzynski 1961   11  0.6223  0.0021  0.0813  0.4826  0.3623  0.42
Magaloff 1978   15  0.6128  0.009  0.1211  0.499  0.4515  0.47
Magin 1975   47  0.4729  0.0044  0.0744  0.1519  0.2843  0.20
Michalowski 1933   86  0.1363  0.0080  0.0383  0.0373  0.0478  0.03
Milkina 1970   7  0.6331  0.008  0.149  0.505  0.598  0.54
Mohovich 1999   18  0.5966  0.0030  0.0730  0.3521  0.3731  0.36
Moravec 1969   58  0.4234  0.0067  0.0464  0.0463  0.0462  0.04
Morozova 2008   20  0.589  0.0212  0.0923  0.419  0.4324  0.42
Neighaus 1950   12  0.6219  0.0115  0.077  0.5221  0.4216  0.47
Niedzielski 1931   81  0.2425  0.0082  0.0286  0.0273  0.0388  0.02
Ohlsson 1999   38  0.5022  0.0134  0.0935  0.2428  0.2439  0.24
Osinska 1989   48  0.4688  0.0046  0.0653  0.0639  0.1254  0.08
Pachmann 1927   13  0.6126  0.0018  0.0912  0.491  0.725  0.59
Paderewski 1930   62  0.4060  0.0063  0.0468  0.0455  0.0467  0.04
Perlemuter 1992   32  0.5441  0.0036  0.0633  0.2828  0.3134  0.29
Pierdomenico 2008   50  0.4569  0.0042  0.0640  0.1817  0.3737  0.26
Poblocka 1999   40  0.4912  0.0155  0.0746  0.0768  0.0458  0.05
Rabcewiczowa 1932   77  0.3189  0.0075  0.0469  0.0458  0.0465  0.04
Rachmaninoff 1923   63  0.3940  0.0057  0.0463  0.0457  0.0464  0.04
Rangell 2001   33  0.5330  0.0013  0.0721  0.436  0.5314  0.48
Richter 1976   35  0.5324  0.0040  0.0641  0.1829  0.2640  0.22
Rosen 1989   19  0.5857  0.0031  0.1220  0.4312  0.4820  0.45
Rosenthal 1930   70  0.3653  0.0070  0.0461  0.0442  0.1256  0.07
Rosenthal 1931   51  0.4454  0.0045  0.0843  0.1510  0.5336  0.28
Rosenthal 1931b   54  0.4378  0.0050  0.0651  0.0613  0.4745  0.17
Rosenthal 1931c   55  0.4390  0.0056  0.0750  0.0741  0.1453  0.10
Rosenthal 1931d   52  0.4477  0.0051  0.0652  0.0610  0.4348  0.16
Rossi 2007   84  0.1883  0.0084  0.0382  0.0369  0.0377  0.03
Rubinstein 1939   60  0.4249  0.0049  0.0555  0.054  0.5446  0.16
Rubinstein 1952   8  0.635  0.037  0.106  0.545  0.596  0.56
Rubinstein 1966   6  0.653  0.065  0.173  0.612  0.683  0.64
Schilhawsky 1960   74  0.3584  0.0073  0.0466  0.0464  0.0470  0.04
Shebanova 2002   10  0.6313  0.0123  0.088  0.519  0.539  0.52
Smith 1975   37  0.5073  0.0038  0.0639  0.1950  0.0552  0.10
Sokolov 2002   59  0.4264  0.0072  0.0378  0.0370  0.0376  0.03
Sztompka 1959   66  0.3837  0.0076  0.0477  0.0464  0.0468  0.04
Tomsic 1995   4  0.6759  0.0010  0.1315  0.469  0.5013  0.48
Uninsky 1932   78  0.3065  0.0079  0.0381  0.0379  0.0382  0.03
Uninsky 1971   76  0.3361  0.0078  0.0384  0.0367  0.0379  0.03
Wasowski 1980   71  0.3658  0.0061  0.0559  0.0565  0.0463  0.04
Zak 1937   24  0.5742  0.0017  0.0719  0.439  0.5312  0.48
Zak 1951   17  0.5910  0.0216  0.0617  0.448  0.5611  0.50
Average   3  0.712  0.172  0.242  0.6320  0.3317  0.46
Random 1   90  0.0081  0.0090  0.0190  0.0156  0.0490  0.02
Random 2   91  -0.0791  0.0091  0.0191  0.0175  0.0389  0.02
Random 3   89  0.0285  0.0089  0.0189  0.0154  0.0391  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).