Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.6814  0.0126  0.0620  0.3830  0.3028  0.34
Anderszewski 2003   62  0.5187  0.0073  0.0556  0.0579  0.0373  0.04
Ashkenazy 1981   24  0.665  0.0330  0.0831  0.2434  0.2137  0.22
Bacha 2000   30  0.6436  0.0036  0.0537  0.138  0.4533  0.24
Badura 1965   45  0.5738  0.0046  0.0649  0.0630  0.3248  0.14
Barbosa 1983   63  0.5169  0.0037  0.0441  0.1119  0.3042  0.18
Biret 1990   25  0.6660  0.0033  0.0728  0.3027  0.2731  0.28
Blet 2003   31  0.6456  0.0039  0.0635  0.1616  0.3534  0.24
Block 1995   40  0.5943  0.0042  0.0538  0.1215  0.3538  0.20
Blumental 1952   68  0.4924  0.0067  0.0472  0.0469  0.0388  0.03
Boshniakovich 1969   20  0.6644  0.007  0.1213  0.4112  0.5310  0.47
Brailowsky 1960   23  0.6634  0.0040  0.0439  0.1213  0.4335  0.23
Bunin 1987   74  0.4876  0.0081  0.0465  0.0466  0.0478  0.04
Bunin 1987b   76  0.4746  0.0080  0.0467  0.0465  0.0469  0.04
Chiu 1999   27  0.6555  0.0028  0.0629  0.2712  0.4822  0.36
Cohen 1997   58  0.5377  0.0062  0.0476  0.044  0.5149  0.14
Cortot 1951   79  0.4567  0.0083  0.0478  0.0473  0.0480  0.04
Csalog 1996   71  0.4832  0.0052  0.0466  0.0421  0.3550  0.12
Czerny 1949   75  0.4785  0.0070  0.0479  0.0460  0.0575  0.04
Czerny 1990   39  0.5931  0.0045  0.0551  0.0543  0.0961  0.07
Duchoud 2007   60  0.5239  0.0069  0.0480  0.0454  0.0576  0.04
Ezaki 2006   10  0.706  0.0319  0.0925  0.3230  0.2930  0.30
Falvay 1989   3  0.737  0.0314  0.0918  0.384  0.647  0.49
Farrell 1958   33  0.6264  0.0047  0.0553  0.0520  0.2652  0.11
Ferenczy 1958   70  0.4861  0.0082  0.0474  0.0484  0.0386  0.03
Fliere 1977   4  0.722  0.223  0.373  0.655  0.543  0.59
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   37  0.604  0.0718  0.0724  0.3316  0.4320  0.38
Friedman 1923   87  0.2682  0.0087  0.0385  0.0373  0.0582  0.04
Friedman 1923b   86  0.2688  0.0086  0.0387  0.0370  0.0579  0.04
Friedman 1930   84  0.3458  0.0085  0.0557  0.0546  0.0762  0.06
Garcia 2007   54  0.5386  0.0064  0.0555  0.0556  0.0564  0.05
Garcia 2007b   77  0.4670  0.0066  0.0471  0.0450  0.0581  0.04
Gierzod 1998   43  0.5833  0.0031  0.0734  0.1640  0.1545  0.15
Gornostaeva 1994   34  0.6145  0.0021  0.0623  0.3311  0.5017  0.41
Groot 1988   14  0.6840  0.0022  0.0915  0.405  0.5511  0.47
Harasiewicz 1955   28  0.6511  0.028  0.1010  0.4429  0.2827  0.35
Hatto 1993   66  0.5083  0.0050  0.0464  0.0425  0.2256  0.09
Hatto 1997   57  0.5374  0.0048  0.0462  0.0432  0.1758  0.08
Horowitz 1949   38  0.6037  0.0043  0.0543  0.0926  0.3841  0.18
Indjic 1988   61  0.5259  0.0049  0.0648  0.0628  0.2053  0.11
Kapell 1951   67  0.5051  0.0071  0.0470  0.0482  0.0385  0.03
Kissin 1993   1  0.791  0.261  0.261  0.664  0.691  0.67
Kushner 1989   13  0.6929  0.004  0.114  0.5210  0.486  0.50
Luisada 1991   12  0.6930  0.0016  0.0812  0.4219  0.4414  0.43
Lushtak 2004   9  0.7012  0.0124  0.1022  0.3617  0.3425  0.35
Malcuzynski 1961   41  0.5935  0.0054  0.0559  0.0532  0.1754  0.09
Magaloff 1978   29  0.6568  0.0025  0.0627  0.3013  0.4224  0.35
Magin 1975   36  0.609  0.0229  0.0730  0.2519  0.3032  0.27
Michalowski 1933   85  0.3263  0.0084  0.0469  0.0467  0.0471  0.04
Milkina 1970   2  0.763  0.132  0.322  0.652  0.642  0.64
Mohovich 1999   5  0.7266  0.005  0.109  0.4511  0.529  0.48
Moravec 1969   72  0.4875  0.0076  0.0477  0.0466  0.0383  0.03
Morozova 2008   17  0.6878  0.0013  0.0916  0.3912  0.3423  0.36
Neighaus 1950   21  0.6641  0.0023  0.0919  0.3821  0.3226  0.35
Niedzielski 1931   83  0.3581  0.0077  0.0481  0.0469  0.0384  0.03
Ohlsson 1999   44  0.5748  0.0038  0.0636  0.1440  0.1447  0.14
Osinska 1989   32  0.6415  0.0117  0.0817  0.3923  0.3521  0.37
Pachmann 1927   26  0.6652  0.0032  0.0632  0.211  0.6719  0.38
Paderewski 1930   42  0.5871  0.0053  0.0475  0.0430  0.1955  0.09
Perlemuter 1992   6  0.7257  0.0011  0.0921  0.3711  0.4318  0.40
Pierdomenico 2008   48  0.5689  0.0044  0.0444  0.0811  0.4540  0.19
Poblocka 1999   49  0.5517  0.0160  0.0461  0.0453  0.0566  0.04
Rabcewiczowa 1932   56  0.5318  0.0151  0.0554  0.0540  0.1357  0.08
Rachmaninoff 1923   46  0.5719  0.0155  0.0463  0.0461  0.0468  0.04
Rangell 2001   52  0.5426  0.0034  0.0633  0.194  0.5029  0.31
Richter 1976   55  0.5365  0.0063  0.0468  0.0439  0.1360  0.07
Rosen 1989   7  0.7013  0.0112  0.087  0.4913  0.498  0.49
Rosenthal 1930   80  0.4523  0.0074  0.0473  0.0452  0.0577  0.04
Rosenthal 1931   65  0.5021  0.0156  0.0552  0.0512  0.5144  0.16
Rosenthal 1931b   64  0.5110  0.0257  0.0746  0.0713  0.4743  0.18
Rosenthal 1931c   73  0.4849  0.0059  0.0747  0.0725  0.3146  0.15
Rosenthal 1931d   59  0.5320  0.0158  0.0845  0.0810  0.4939  0.20
Rossi 2007   81  0.4479  0.0065  0.0382  0.0335  0.1859  0.07
Rubinstein 1939   53  0.5425  0.0035  0.0542  0.114  0.5036  0.23
Rubinstein 1952   22  0.668  0.026  0.108  0.474  0.625  0.54
Rubinstein 1966   18  0.6816  0.0110  0.105  0.514  0.654  0.58
Schilhawsky 1960   69  0.4973  0.0075  0.0550  0.0576  0.0374  0.04
Shebanova 2002   15  0.6850  0.0020  0.0714  0.4114  0.4713  0.44
Smith 1975   35  0.6027  0.0041  0.0540  0.1142  0.1151  0.11
Sokolov 2002   51  0.5462  0.0072  0.0460  0.0455  0.0467  0.04
Sztompka 1959   47  0.5654  0.0068  0.0383  0.0366  0.0570  0.04
Tomsic 1995   19  0.6753  0.0027  0.0726  0.308  0.6016  0.42
Uninsky 1932   78  0.4572  0.0079  0.0384  0.0370  0.0487  0.03
Uninsky 1971   82  0.4322  0.0078  0.0386  0.0371  0.0572  0.04
Wasowski 1980   50  0.5442  0.0061  0.0558  0.0555  0.0563  0.05
Zak 1937   11  0.7047  0.0015  0.1011  0.4217  0.4215  0.42
Zak 1951   8  0.7028  0.009  0.106  0.5015  0.4212  0.46
Random 1   90  -0.1280  0.0090  0.0190  0.0129  0.2765  0.05
Random 2   89  -0.1284  0.0088  0.0188  0.0164  0.0390  0.02
Random 3   88  -0.0390  0.0089  0.0189  0.0140  0.1189  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).