Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.7851  0.0013  0.1010  0.4537  0.2616  0.34
Anderszewski 2003   30  0.6968  0.0043  0.0542  0.1044  0.1150  0.10
Ashkenazy 1981   11  0.7514  0.0221  0.0626  0.2521  0.3024  0.27
Bacha 2000   32  0.6864  0.0048  0.0475  0.0420  0.2749  0.10
Badura 1965   25  0.7011  0.0240  0.0631  0.1929  0.3723  0.27
Barbosa 1983   75  0.5237  0.0058  0.0461  0.0438  0.1165  0.07
Biret 1990   2  0.7910  0.026  0.084  0.503  0.583  0.54
Blet 2003   29  0.6972  0.0027  0.0819  0.342  0.4713  0.40
Block 1995   69  0.5753  0.0050  0.0379  0.0334  0.1472  0.06
Blumental 1952   16  0.7426  0.0017  0.0822  0.308  0.3219  0.31
Boshniakovich 1969   38  0.6679  0.0036  0.0533  0.1843  0.1434  0.16
Brailowsky 1960   60  0.6060  0.0073  0.0466  0.0464  0.0479  0.04
Bunin 1987   85  0.4287  0.0087  0.0469  0.0450  0.0678  0.05
Bunin 1987b   86  0.4182  0.0086  0.0468  0.0449  0.0775  0.05
Chiu 1999   34  0.6770  0.0061  0.0451  0.0441  0.1464  0.07
Cohen 1997   56  0.6148  0.0068  0.0472  0.045  0.4838  0.14
Cortot 1951   58  0.6057  0.0067  0.0456  0.0449  0.0583  0.04
Csalog 1996   76  0.5052  0.0069  0.0547  0.0526  0.2844  0.12
Czerny 1949   65  0.5881  0.0045  0.0474  0.0450  0.0677  0.05
Czerny 1990   31  0.6939  0.0037  0.0434  0.1558  0.0460  0.08
Duchoud 2007   52  0.6244  0.0062  0.0546  0.0520  0.2845  0.12
Ezaki 2006   17  0.7330  0.0038  0.0538  0.1246  0.0556  0.08
Falvay 1989   47  0.6419  0.0149  0.0378  0.0320  0.4641  0.12
Farrell 1958   22  0.7154  0.0019  0.0621  0.338  0.5112  0.41
Ferenczy 1958   57  0.6156  0.0066  0.0465  0.0443  0.0870  0.06
Fliere 1977   24  0.7017  0.019  0.0911  0.4540  0.1525  0.26
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   35  0.6769  0.0029  0.0732  0.1811  0.4820  0.29
Friedman 1923   66  0.5863  0.0079  0.0473  0.0462  0.0584  0.04
Friedman 1923b   67  0.5776  0.0078  0.0287  0.0259  0.0589  0.03
Friedman 1930   68  0.5783  0.0080  0.0459  0.0475  0.0387  0.03
Garcia 2007   6  0.7758  0.008  0.0812  0.426  0.547  0.48
Garcia 2007b   15  0.7427  0.0014  0.0814  0.3717  0.4214  0.39
Gierzod 1998   37  0.6621  0.0128  0.1023  0.3042  0.1429  0.20
Gornostaeva 1994   55  0.6173  0.0046  0.0463  0.0421  0.2451  0.10
Groot 1988   44  0.6455  0.0031  0.0639  0.1124  0.3431  0.19
Harasiewicz 1955   13  0.7412  0.0218  0.1224  0.3058  0.0547  0.12
Hatto 1993   41  0.6559  0.0053  0.0645  0.0657  0.0673  0.06
Hatto 1997   39  0.6665  0.0052  0.0548  0.0544  0.1066  0.07
Horowitz 1949   46  0.6449  0.0041  0.0543  0.0943  0.1840  0.13
Indjic 1988   40  0.6661  0.0051  0.0383  0.0344  0.1076  0.05
Kapell 1951   48  0.6422  0.0115  0.0916  0.3539  0.1128  0.20
Kissin 1993   9  0.754  0.084  0.1117  0.3423  0.3318  0.33
Kushner 1989   8  0.751  0.221  0.221  0.608  0.531  0.56
Luisada 1991   7  0.7684  0.0020  0.0618  0.3430  0.2122  0.27
Lushtak 2004   20  0.7262  0.0026  0.0620  0.3411  0.3417  0.34
Malcuzynski 1961   79  0.4986  0.0076  0.0382  0.0371  0.0386  0.03
Magaloff 1978   62  0.5928  0.0057  0.0470  0.0440  0.1757  0.08
Magin 1975   42  0.657  0.0422  0.0625  0.2725  0.3021  0.28
Michalowski 1933   54  0.6135  0.0047  0.0458  0.0434  0.1954  0.09
Milkina 1970   5  0.772  0.132  0.143  0.537  0.562  0.54
Mohovich 1999   18  0.738  0.0211  0.096  0.4810  0.524  0.50
Moravec 1969   74  0.5234  0.0081  0.0386  0.0340  0.1468  0.06
Morozova 2008   10  0.7550  0.0012  0.0713  0.4110  0.4611  0.43
Neighaus 1950   53  0.6174  0.0056  0.0464  0.0457  0.0582  0.04
Niedzielski 1931   77  0.5089  0.0072  0.0380  0.0381  0.0385  0.03
Ohlsson 1999   50  0.6371  0.0044  0.0444  0.0840  0.1448  0.11
Osinska 1989   19  0.739  0.0210  0.088  0.4718  0.4410  0.45
Pachmann 1927   63  0.5977  0.0074  0.0467  0.0414  0.3743  0.12
Paderewski 1930   21  0.7266  0.0025  0.0627  0.242  0.5515  0.36
Perlemuter 1992   1  0.815  0.055  0.107  0.476  0.488  0.47
Pierdomenico 2008   73  0.5425  0.0163  0.0452  0.0425  0.3542  0.12
Poblocka 1999   61  0.5940  0.0030  0.0628  0.2137  0.1730  0.19
Rabcewiczowa 1932   14  0.7420  0.0116  0.099  0.463  0.499  0.47
Rachmaninoff 1923   27  0.696  0.0523  0.0729  0.2033  0.1533  0.17
Rangell 2001   81  0.4767  0.0065  0.0455  0.0416  0.3746  0.12
Richter 1976   78  0.4985  0.0077  0.0377  0.0362  0.0580  0.04
Rosen 1989   12  0.7542  0.007  0.085  0.509  0.485  0.49
Rosenthal 1930   80  0.4833  0.0075  0.0381  0.0336  0.1171  0.06
Rosenthal 1931   84  0.4313  0.0284  0.0376  0.0332  0.2059  0.08
Rosenthal 1931b   82  0.4415  0.0283  0.0457  0.0427  0.2155  0.09
Rosenthal 1931c   87  0.4136  0.0082  0.0385  0.0337  0.1767  0.07
Rosenthal 1931d   83  0.4432  0.0085  0.0454  0.0432  0.1861  0.08
Rossi 2007   49  0.6343  0.0071  0.0384  0.0325  0.2952  0.09
Rubinstein 1939   45  0.6441  0.0059  0.0471  0.0410  0.4139  0.13
Rubinstein 1952   64  0.5924  0.0154  0.0550  0.059  0.5235  0.16
Rubinstein 1966   43  0.6518  0.0132  0.0740  0.1117  0.4027  0.21
Schilhawsky 1960   70  0.5729  0.0070  0.0549  0.0549  0.0769  0.06
Shebanova 2002   33  0.6847  0.0024  0.0615  0.3642  0.1526  0.23
Smith 1975   51  0.6238  0.0060  0.0460  0.0446  0.0674  0.05
Sokolov 2002   59  0.6045  0.0055  0.0462  0.0439  0.1463  0.07
Sztompka 1959   3  0.783  0.103  0.142  0.5720  0.406  0.48
Tomsic 1995   71  0.5546  0.0064  0.0453  0.0410  0.5436  0.15
Uninsky 1932   36  0.6623  0.0135  0.0430  0.2043  0.1632  0.18
Uninsky 1971   72  0.5516  0.0139  0.0437  0.1342  0.1837  0.15
Wasowski 1980   28  0.6931  0.0042  0.0541  0.1061  0.0562  0.07
Zak 1937   23  0.7180  0.0033  0.0435  0.1561  0.0458  0.08
Zak 1951   26  0.7078  0.0034  0.0436  0.1551  0.0553  0.09
Random 1   90  -0.2588  0.0090  0.0190  0.0144  0.0888  0.03
Random 2   88  -0.0490  0.0088  0.0288  0.0263  0.0390  0.02
Random 3   89  -0.1175  0.0089  0.0189  0.0140  0.1481  0.04

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).