Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.5859  0.0045  0.0845  0.0852  0.0454  0.06
Anderszewski 2003   74  0.3366  0.0073  0.0562  0.0581  0.0273  0.03
Ashkenazy 1981   39  0.576  0.0347  0.0747  0.0740  0.1249  0.09
Bacha 2000   30  0.6011  0.0249  0.0652  0.0616  0.4043  0.15
Badura 1965   59  0.4457  0.0044  0.0643  0.1233  0.2242  0.16
Barbosa 1983   53  0.4915  0.0139  0.0738  0.1932  0.2837  0.23
Biret 1990   49  0.5389  0.0050  0.0648  0.0646  0.0556  0.05
Blet 2003   32  0.5954  0.0052  0.0561  0.0561  0.0461  0.04
Block 1995   28  0.6121  0.0136  0.0731  0.3110  0.3627  0.33
Blumental 1952   81  0.2441  0.0083  0.0282  0.0281  0.0287  0.02
Boshniakovich 1969   20  0.6712  0.025  0.118  0.513  0.588  0.54
Brailowsky 1960   9  0.7253  0.0017  0.0815  0.446  0.4713  0.45
Bunin 1987   47  0.5329  0.0058  0.0554  0.0566  0.0466  0.04
Bunin 1987b   48  0.5340  0.0059  0.0846  0.0864  0.0453  0.06
Chiu 1999   22  0.6433  0.0020  0.0514  0.446  0.5310  0.48
Cohen 1997   60  0.4461  0.0061  0.0653  0.0619  0.3345  0.14
Cortot 1951   77  0.3062  0.0085  0.0378  0.0384  0.0289  0.02
Csalog 1996   56  0.4644  0.0051  0.0565  0.0524  0.3446  0.13
Czerny 1949   71  0.3648  0.0067  0.0472  0.0459  0.0563  0.04
Czerny 1990   52  0.5032  0.0053  0.0556  0.0546  0.0555  0.05
Duchoud 2007   64  0.4277  0.0066  0.0470  0.0468  0.0377  0.03
Ezaki 2006   19  0.6716  0.0131  0.0728  0.3328  0.2133  0.26
Falvay 1989   2  0.8131  0.004  0.233  0.574  0.612  0.59
Farrell 1958   45  0.5345  0.0056  0.0566  0.0544  0.0952  0.07
Ferenczy 1958   70  0.3630  0.0081  0.0283  0.0283  0.0284  0.02
Fliere 1977   5  0.742  0.112  0.222  0.581  0.584  0.58
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   46  0.5323  0.0133  0.0737  0.2028  0.1939  0.19
Friedman 1923   89  -0.0578  0.0090  0.0190  0.0177  0.0490  0.02
Friedman 1923b   88  -0.0487  0.0089  0.0289  0.0277  0.0388  0.02
Friedman 1930   84  0.1146  0.0075  0.0374  0.0380  0.0375  0.03
Garcia 2007   78  0.3083  0.0082  0.0284  0.0282  0.0286  0.02
Garcia 2007b   83  0.1884  0.0080  0.0381  0.0374  0.0379  0.03
Gierzod 1998   54  0.4937  0.0048  0.0650  0.0664  0.0364  0.04
Gornostaeva 1994   26  0.6217  0.0114  0.0718  0.3917  0.3622  0.37
Groot 1988   7  0.7351  0.0011  0.0812  0.469  0.4612  0.46
Harasiewicz 1955   40  0.5610  0.0224  0.0823  0.3628  0.2531  0.30
Hatto 1993   72  0.3588  0.0065  0.0560  0.0564  0.0367  0.04
Hatto 1997   67  0.3963  0.0063  0.0468  0.0446  0.0462  0.04
Horowitz 1949   41  0.5555  0.0027  0.0734  0.3017  0.3329  0.31
Indjic 1988   68  0.3774  0.0064  0.0469  0.0469  0.0372  0.03
Kapell 1951   69  0.3667  0.0074  0.0377  0.0387  0.0281  0.02
Kissin 1993   1  0.831  0.341  0.341  0.601  0.711  0.65
Kushner 1989   24  0.6339  0.0022  0.0619  0.3930  0.2428  0.31
Luisada 1991   23  0.6327  0.0035  0.0625  0.3517  0.3823  0.36
Lushtak 2004   18  0.688  0.0319  0.0630  0.3225  0.2532  0.28
Malcuzynski 1961   15  0.6918  0.0123  0.0724  0.3527  0.2630  0.30
Magaloff 1978   14  0.7014  0.016  0.1211  0.479  0.4414  0.45
Magin 1975   44  0.5524  0.0142  0.0741  0.1834  0.1941  0.18
Michalowski 1933   86  0.0371  0.0078  0.0285  0.0285  0.0282  0.02
Milkina 1970   4  0.754  0.073  0.194  0.553  0.595  0.57
Mohovich 1999   11  0.7150  0.0021  0.0622  0.3622  0.3425  0.35
Moravec 1969   61  0.4443  0.0068  0.0564  0.0557  0.0457  0.04
Morozova 2008   29  0.6135  0.0030  0.0720  0.3827  0.1736  0.25
Neighaus 1950   10  0.713  0.089  0.1010  0.4919  0.4215  0.45
Niedzielski 1931   82  0.2042  0.0077  0.0379  0.0371  0.0280  0.02
Ohlsson 1999   51  0.5226  0.0046  0.0649  0.0635  0.1748  0.10
Osinska 1989   42  0.557  0.0340  0.0736  0.2238  0.1540  0.18
Pachmann 1927   8  0.7264  0.0015  0.109  0.491  0.666  0.57
Paderewski 1930   58  0.4568  0.0071  0.0559  0.0582  0.0270  0.03
Perlemuter 1992   25  0.6347  0.0037  0.0732  0.3129  0.2134  0.26
Pierdomenico 2008   37  0.5781  0.0025  0.0627  0.3310  0.3924  0.36
Poblocka 1999   50  0.5228  0.0062  0.0467  0.0468  0.0368  0.03
Rabcewiczowa 1932   75  0.3270  0.0072  0.0473  0.0472  0.0369  0.03
Rachmaninoff 1923   57  0.4536  0.0055  0.0557  0.0558  0.0460  0.04
Rangell 2001   31  0.6058  0.0010  0.0816  0.424  0.4717  0.44
Richter 1976   35  0.5852  0.0043  0.0642  0.1329  0.1544  0.14
Rosen 1989   21  0.6620  0.0134  0.0735  0.2817  0.4226  0.34
Rosenthal 1930   63  0.4256  0.0060  0.0651  0.0672  0.0365  0.04
Rosenthal 1931   34  0.5872  0.0026  0.0829  0.3211  0.4520  0.38
Rosenthal 1931b   38  0.5765  0.0028  0.0733  0.317  0.4621  0.38
Rosenthal 1931c   43  0.5579  0.0041  0.0640  0.1828  0.2238  0.20
Rosenthal 1931d   27  0.6125  0.0129  0.1126  0.346  0.4619  0.40
Rossi 2007   79  0.2585  0.0054  0.0558  0.0533  0.1250  0.08
Rubinstein 1939   62  0.4319  0.0118  0.0644  0.125  0.5135  0.25
Rubinstein 1952   6  0.745  0.047  0.125  0.524  0.627  0.57
Rubinstein 1966   13  0.7122  0.0113  0.116  0.521  0.663  0.59
Schilhawsky 1960   65  0.4149  0.0069  0.0471  0.0480  0.0374  0.03
Shebanova 2002   16  0.699  0.0232  0.0721  0.3613  0.4818  0.42
Smith 1975   36  0.5834  0.0038  0.0739  0.1854  0.0451  0.08
Sokolov 2002   55  0.4773  0.0070  0.0563  0.0574  0.0359  0.04
Sztompka 1959   73  0.3460  0.0076  0.0375  0.0377  0.0371  0.03
Tomsic 1995   3  0.7838  0.008  0.127  0.517  0.539  0.52
Uninsky 1932   80  0.2482  0.0084  0.0376  0.0382  0.0376  0.03
Uninsky 1971   76  0.3275  0.0079  0.0286  0.0274  0.0383  0.02
Wasowski 1980   66  0.4080  0.0057  0.0555  0.0565  0.0458  0.04
Zak 1937   17  0.6869  0.0016  0.1117  0.428  0.4716  0.44
Zak 1951   12  0.7113  0.0212  0.1113  0.454  0.5111  0.48
Random 1   87  0.0076  0.0086  0.0380  0.0314  0.3747  0.11
Random 2   90  -0.2090  0.0088  0.0288  0.0263  0.0385  0.02
Random 3   85  0.0486  0.0087  0.0287  0.0261  0.0478  0.03

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).