Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.4151  0.0025  0.0827  0.3922  0.4621  0.42
Anderszewski 2003   14  0.4213  0.0112  0.139  0.585  0.707  0.64
Ashkenazy 1981   1  0.551  0.291  0.291  0.7714  0.751  0.76
Bacha 2000   26  0.3819  0.0126  0.0717  0.458  0.5615  0.50
Badura 1965   12  0.434  0.064  0.167  0.621  0.772  0.69
Barbosa 1983   48  0.3154  0.0051  0.0548  0.0541  0.1357  0.08
Biret 1990   86  0.1182  0.0086  0.0467  0.0473  0.0480  0.04
Blet 2003   54  0.3065  0.0070  0.0380  0.0354  0.0768  0.05
Block 1995   27  0.3758  0.0020  0.0818  0.4529  0.4220  0.43
Blumental 1952   19  0.418  0.047  0.128  0.625  0.715  0.66
Boshniakovich 1969   38  0.359  0.0319  0.0820  0.4327  0.4222  0.42
Brailowsky 1960   46  0.3214  0.0133  0.0735  0.2514  0.5826  0.38
Bunin 1987   61  0.2831  0.0067  0.0553  0.0557  0.0672  0.05
Bunin 1987b   60  0.2848  0.0066  0.0461  0.0455  0.0665  0.05
Chiu 1999   7  0.4753  0.0018  0.0919  0.4336  0.2730  0.34
Cohen 1997   63  0.2886  0.0077  0.0377  0.0341  0.1758  0.07
Cortot 1951   74  0.2349  0.0080  0.0376  0.0343  0.1261  0.06
Csalog 1996   72  0.2452  0.0074  0.0382  0.0352  0.0679  0.04
Czerny 1949   67  0.2617  0.0165  0.0370  0.0337  0.4249  0.11
Czerny 1990   6  0.4812  0.018  0.115  0.6415  0.743  0.69
Duchoud 2007   49  0.3160  0.0055  0.0556  0.0564  0.0570  0.05
Ezaki 2006   39  0.3480  0.0044  0.0644  0.1126  0.4638  0.22
Falvay 1989   13  0.435  0.0510  0.1125  0.414  0.5616  0.48
Farrell 1958   32  0.3742  0.0034  0.0732  0.328  0.5324  0.41
Ferenczy 1958   58  0.2827  0.0061  0.0372  0.0319  0.7144  0.15
Fliere 1977   3  0.527  0.045  0.163  0.6823  0.616  0.64
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   81  0.2063  0.0081  0.0383  0.0353  0.0682  0.04
Friedman 1923   36  0.3516  0.0136  0.0734  0.2642  0.2836  0.27
Friedman 1923b   42  0.3445  0.0041  0.0740  0.1943  0.2341  0.21
Friedman 1930   50  0.3034  0.0056  0.0462  0.0453  0.0769  0.05
Garcia 2007   59  0.2883  0.0050  0.0746  0.0742  0.1750  0.11
Garcia 2007b   69  0.2650  0.0064  0.0559  0.0551  0.0762  0.06
Gierzod 1998   33  0.3622  0.0024  0.0722  0.4214  0.6413  0.52
Gornostaeva 1994   68  0.2666  0.0079  0.0466  0.0448  0.0773  0.05
Groot 1988   28  0.3761  0.0042  0.0741  0.1846  0.0948  0.13
Harasiewicz 1955   20  0.4159  0.0030  0.0930  0.3632  0.2435  0.29
Hatto 1993   15  0.4267  0.0022  0.1028  0.3735  0.2534  0.30
Hatto 1997   43  0.3444  0.0049  0.0745  0.0739  0.1552  0.10
Horowitz 1949   76  0.2372  0.0072  0.0375  0.0362  0.0578  0.04
Indjic 1988   35  0.3573  0.0048  0.0557  0.0551  0.0860  0.06
Kapell 1951   29  0.3739  0.0028  0.0926  0.3923  0.3629  0.37
Kissin 1993   16  0.4257  0.0011  0.1212  0.5316  0.6510  0.59
Kushner 1989   8  0.4721  0.0113  0.1310  0.5710  0.5811  0.57
Luisada 1991   37  0.3518  0.0137  0.0739  0.2143  0.2239  0.21
Lushtak 2004   23  0.3835  0.0017  0.0916  0.456  0.5914  0.52
Malcuzynski 1961   25  0.3820  0.0135  0.0736  0.2334  0.2040  0.21
Magaloff 1978   57  0.2915  0.0143  0.0743  0.1444  0.1246  0.13
Magin 1975   71  0.2438  0.0068  0.0464  0.0445  0.1059  0.06
Michalowski 1933   75  0.2374  0.0073  0.0385  0.0355  0.0767  0.05
Milkina 1970   62  0.2875  0.0063  0.0460  0.0438  0.2351  0.10
Mohovich 1999   56  0.2964  0.0057  0.0463  0.0455  0.0671  0.05
Moravec 1969   22  0.3925  0.0031  0.1029  0.3616  0.4723  0.41
Morozova 2008   2  0.523  0.122  0.212  0.696  0.644  0.66
Neighaus 1950   45  0.3233  0.0046  0.0549  0.0564  0.0574  0.05
Niedzielski 1931   31  0.3723  0.0040  0.0642  0.1544  0.1247  0.13
Ohlsson 1999   17  0.4111  0.0214  0.1114  0.4817  0.4518  0.46
Osinska 1989   83  0.1887  0.0084  0.0371  0.0377  0.0383  0.03
Pachmann 1927   52  0.3010  0.0238  0.0737  0.2338  0.2937  0.26
Paderewski 1930   70  0.2543  0.0058  0.0373  0.0349  0.0766  0.05
Perlemuter 1992   41  0.3430  0.0039  0.0638  0.2335  0.4233  0.31
Pierdomenico 2008   55  0.3070  0.0071  0.0374  0.0354  0.0576  0.04
Poblocka 1999   24  0.386  0.059  0.1115  0.4613  0.4617  0.46
Rabcewiczowa 1932   78  0.2288  0.0076  0.0286  0.0244  0.1364  0.05
Rachmaninoff 1923   47  0.3155  0.0052  0.0554  0.0538  0.1854  0.09
Rangell 2001   30  0.3740  0.0029  0.0921  0.4212  0.4819  0.45
Richter 1976   9  0.4724  0.0015  0.1211  0.5531  0.5812  0.56
Rosen 1989   21  0.4028  0.0023  0.1023  0.4235  0.3528  0.38
Rosenthal 1930   44  0.3368  0.0047  0.0550  0.0521  0.4545  0.15
Rosenthal 1931   64  0.2746  0.0045  0.0647  0.0618  0.5942  0.19
Rosenthal 1931b   73  0.2476  0.0053  0.0558  0.0525  0.5043  0.16
Rosenthal 1931c   79  0.2171  0.0078  0.0381  0.0365  0.0486  0.03
Rosenthal 1931d   85  0.1477  0.0075  0.0379  0.0335  0.3153  0.10
Rossi 2007   88  0.0089  0.0088  0.0188  0.0183  0.0387  0.02
Rubinstein 1939   34  0.3632  0.0032  0.0933  0.3013  0.3931  0.34
Rubinstein 1952   77  0.2262  0.0060  0.0369  0.0362  0.0581  0.04
Rubinstein 1966   5  0.482  0.133  0.234  0.653  0.638  0.64
Schilhawsky 1960   84  0.1784  0.0083  0.0384  0.0364  0.0485  0.03
Shebanova 2002   4  0.5036  0.006  0.196  0.6326  0.579  0.60
Smith 1975   82  0.2056  0.0085  0.0552  0.0555  0.0663  0.05
Sokolov 2002   80  0.2147  0.0082  0.0378  0.0369  0.0384  0.03
Sztompka 1959   11  0.4529  0.0021  0.0724  0.4227  0.4125  0.41
Tomsic 1995   53  0.3069  0.0062  0.0368  0.0354  0.0577  0.04
Uninsky 1932   10  0.4537  0.0016  0.1113  0.5135  0.2927  0.38
Uninsky 1971   40  0.3426  0.0027  0.0831  0.3528  0.3032  0.32
Wasowski 1980   51  0.3041  0.0059  0.0465  0.0462  0.0575  0.04
Zak 1937   65  0.2778  0.0054  0.0551  0.0539  0.1855  0.09
Zak 1951   66  0.2781  0.0069  0.0555  0.0541  0.1356  0.08
Random 1   90  -0.0185  0.0089  0.0189  0.0174  0.0389  0.02
Random 2   87  0.0079  0.0087  0.0287  0.0273  0.0388  0.02
Random 3   89  -0.0190  0.0090  0.0190  0.0158  0.0390  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).