Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.5556  0.0038  0.0636  0.2225  0.2040  0.21
Anderszewski 2003   72  0.3646  0.0068  0.0461  0.0462  0.0380  0.03
Ashkenazy 1981   24  0.573  0.0810  0.0923  0.4025  0.3428  0.37
Bacha 2000   30  0.5421  0.0147  0.0746  0.074  0.5841  0.20
Badura 1965   52  0.4335  0.0036  0.0633  0.266  0.5226  0.37
Barbosa 1983   48  0.4551  0.0032  0.0835  0.2326  0.4032  0.30
Biret 1990   56  0.4275  0.0063  0.0466  0.0464  0.0473  0.04
Blet 2003   35  0.5162  0.0053  0.0556  0.0550  0.0559  0.05
Block 1995   27  0.5529  0.0031  0.0730  0.3112  0.4427  0.37
Blumental 1952   78  0.3017  0.0161  0.0471  0.0466  0.0472  0.04
Boshniakovich 1969   21  0.587  0.025  0.149  0.507  0.607  0.55
Brailowsky 1960   15  0.6019  0.0127  0.0728  0.373  0.5418  0.45
Bunin 1987   43  0.4716  0.0158  0.0747  0.0750  0.0656  0.06
Bunin 1987b   44  0.4718  0.0157  0.0470  0.0451  0.0658  0.05
Chiu 1999   25  0.5736  0.0023  0.0915  0.4510  0.5810  0.51
Cohen 1997   60  0.4167  0.0059  0.0464  0.0422  0.3550  0.12
Cortot 1951   79  0.2771  0.0085  0.0473  0.0484  0.0285  0.03
Csalog 1996   55  0.4374  0.0051  0.0553  0.0522  0.4149  0.14
Czerny 1949   71  0.3637  0.0067  0.0472  0.0443  0.1354  0.07
Czerny 1990   38  0.5027  0.0042  0.0741  0.1737  0.1646  0.16
Duchoud 2007   64  0.3972  0.0070  0.0559  0.0557  0.0561  0.05
Ezaki 2006   20  0.5847  0.0028  0.0727  0.3820  0.3429  0.36
Falvay 1989   2  0.714  0.062  0.204  0.582  0.702  0.64
Farrell 1958   42  0.4745  0.0052  0.0555  0.0513  0.4048  0.14
Ferenczy 1958   74  0.3511  0.0180  0.0379  0.0365  0.0381  0.03
Fliere 1977   4  0.659  0.023  0.203  0.594  0.644  0.61
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   40  0.4826  0.0026  0.0831  0.2825  0.3134  0.29
Friedman 1923   87  0.0785  0.0087  0.0286  0.0268  0.0487  0.03
Friedman 1923b   86  0.0881  0.0086  0.0287  0.0277  0.0484  0.03
Friedman 1930   84  0.1738  0.0076  0.0378  0.0355  0.0571  0.04
Garcia 2007   81  0.2478  0.0082  0.0384  0.0367  0.0383  0.03
Garcia 2007b   82  0.2186  0.0084  0.0469  0.0464  0.0386  0.03
Gierzod 1998   45  0.4739  0.0034  0.0644  0.1425  0.2243  0.18
Gornostaeva 1994   29  0.5568  0.0019  0.0624  0.3814  0.4225  0.40
Groot 1988   8  0.6355  0.0018  0.0621  0.4214  0.4324  0.42
Harasiewicz 1955   33  0.5334  0.0021  0.1126  0.3821  0.3231  0.35
Hatto 1993   66  0.3769  0.0064  0.0474  0.0468  0.0474  0.04
Hatto 1997   63  0.3948  0.0046  0.0748  0.0763  0.0460  0.05
Horowitz 1949   41  0.4853  0.0040  0.0937  0.2224  0.3137  0.26
Indjic 1988   67  0.3779  0.0065  0.0557  0.0566  0.0469  0.04
Kapell 1951   68  0.3750  0.0073  0.0475  0.0456  0.0466  0.04
Kissin 1993   1  0.731  0.421  0.421  0.692  0.731  0.71
Kushner 1989   22  0.5844  0.0024  0.0825  0.388  0.4921  0.43
Luisada 1991   26  0.5620  0.0125  0.0917  0.4310  0.4620  0.44
Lushtak 2004   13  0.615  0.0413  0.0713  0.4717  0.4617  0.46
Malcuzynski 1961   10  0.6222  0.0120  0.0812  0.4825  0.3622  0.42
Magaloff 1978   14  0.6114  0.018  0.1210  0.498  0.4515  0.47
Magin 1975   46  0.4730  0.0043  0.0743  0.1518  0.2842  0.20
Michalowski 1933   85  0.1364  0.0079  0.0382  0.0372  0.0478  0.03
Milkina 1970   6  0.6332  0.007  0.148  0.504  0.598  0.54
Mohovich 1999   17  0.5966  0.0029  0.0829  0.3520  0.3730  0.36
Moravec 1969   57  0.4233  0.0066  0.0463  0.0462  0.0462  0.04
Morozova 2008   19  0.588  0.0211  0.0922  0.418  0.4323  0.42
Neighaus 1950   11  0.6215  0.0114  0.076  0.5220  0.4216  0.47
Niedzielski 1931   80  0.2424  0.0081  0.0385  0.0372  0.0377  0.03
Ohlsson 1999   37  0.5023  0.0133  0.0934  0.2427  0.2438  0.24
Osinska 1989   47  0.4687  0.0045  0.0652  0.0638  0.1253  0.08
Pachmann 1927   12  0.6128  0.0017  0.0911  0.491  0.725  0.59
Paderewski 1930   61  0.4060  0.0062  0.0467  0.0454  0.0467  0.04
Perlemuter 1992   31  0.5441  0.0035  0.0632  0.2827  0.3133  0.29
Pierdomenico 2008   49  0.4570  0.0041  0.0639  0.1816  0.3736  0.26
Poblocka 1999   39  0.4912  0.0154  0.0745  0.0767  0.0457  0.05
Rabcewiczowa 1932   76  0.3188  0.0074  0.0468  0.0457  0.0465  0.04
Rachmaninoff 1923   62  0.3942  0.0056  0.0462  0.0456  0.0464  0.04
Rangell 2001   32  0.5331  0.0012  0.0720  0.435  0.5314  0.48
Richter 1976   34  0.5325  0.0039  0.0640  0.1828  0.2639  0.22
Rosen 1989   18  0.5857  0.0030  0.1219  0.4311  0.4819  0.45
Rosenthal 1930   69  0.3652  0.0069  0.0460  0.0441  0.1255  0.07
Rosenthal 1931   50  0.4454  0.0044  0.0842  0.159  0.5335  0.28
Rosenthal 1931b   53  0.4377  0.0049  0.0750  0.0712  0.4744  0.18
Rosenthal 1931c   54  0.4389  0.0055  0.0749  0.0740  0.1452  0.10
Rosenthal 1931d   51  0.4476  0.0050  0.0651  0.069  0.4347  0.16
Rossi 2007   83  0.1882  0.0083  0.0381  0.0368  0.0376  0.03
Rubinstein 1939   59  0.4249  0.0048  0.0554  0.054  0.5445  0.16
Rubinstein 1952   7  0.636  0.036  0.105  0.545  0.596  0.56
Rubinstein 1966   5  0.652  0.084  0.172  0.612  0.683  0.64
Schilhawsky 1960   73  0.3583  0.0072  0.0465  0.0463  0.0470  0.04
Shebanova 2002   9  0.6313  0.0122  0.087  0.518  0.539  0.52
Smith 1975   36  0.5073  0.0037  0.0638  0.1949  0.0551  0.10
Sokolov 2002   58  0.4263  0.0071  0.0377  0.0369  0.0375  0.03
Sztompka 1959   65  0.3840  0.0075  0.0476  0.0463  0.0468  0.04
Tomsic 1995   3  0.6759  0.009  0.1314  0.468  0.5013  0.48
Uninsky 1932   77  0.3065  0.0078  0.0380  0.0378  0.0382  0.03
Uninsky 1971   75  0.3361  0.0077  0.0383  0.0366  0.0379  0.03
Wasowski 1980   70  0.3658  0.0060  0.0558  0.0564  0.0463  0.04
Zak 1937   23  0.5743  0.0016  0.0718  0.438  0.5312  0.48
Zak 1951   16  0.5910  0.0215  0.0616  0.447  0.5611  0.50
Random 1   89  0.0080  0.0089  0.0189  0.0156  0.0489  0.02
Random 2   90  -0.0790  0.0090  0.0190  0.0174  0.0388  0.02
Random 3   88  0.0284  0.0088  0.0188  0.0156  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).