Garcia 2007b

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.4020  0.0028  0.0524  0.2176  0.0337  0.08
Anderszewski 2003   14  0.5081  0.0014  0.0722  0.2237  0.1311  0.17
Ashkenazy 1981   12  0.5084  0.0042  0.0436  0.1368  0.0348  0.06
Bacha 2000   50  0.418  0.0137  0.0443  0.0955  0.0539  0.07
Badura 1965   75  0.3052  0.0079  0.0380  0.0384  0.0290  0.02
Barbosa 1983   85  0.2386  0.0083  0.0382  0.0375  0.0479  0.03
Biret 1990   7  0.5369  0.0012  0.089  0.3469  0.0517  0.13
Blet 2003   52  0.4013  0.0148  0.0552  0.0573  0.0364  0.04
Block 1995   69  0.3537  0.0021  0.0531  0.1746  0.0532  0.09
Blumental 1952   22  0.4748  0.0020  0.0518  0.2525  0.216  0.23
Boshniakovich 1969   11  0.5032  0.0041  0.0432  0.1564  0.0438  0.08
Brailowsky 1960   21  0.4823  0.0025  0.0535  0.1359  0.0536  0.08
Bunin 1987   57  0.3953  0.0063  0.0464  0.0462  0.0467  0.04
Bunin 1987b   58  0.3824  0.0062  0.0461  0.0468  0.0461  0.04
Chiu 1999   42  0.4341  0.0072  0.0550  0.0575  0.0357  0.04
Cohen 1997   78  0.2942  0.0078  0.0379  0.0350  0.0666  0.04
Cortot 1951   32  0.4544  0.0032  0.0530  0.1739  0.1712  0.17
Csalog 1996   88  0.1628  0.0088  0.0377  0.0379  0.0381  0.03
Czerny 1949   55  0.3960  0.0019  0.0517  0.2549  0.0619  0.12
Czerny 1990   56  0.3983  0.0059  0.0553  0.0581  0.0369  0.04
Duchoud 2007   45  0.4218  0.0154  0.0374  0.0356  0.0483  0.03
Ezaki 2006   43  0.4290  0.0069  0.0373  0.0377  0.0371  0.03
Falvay 1989   82  0.2651  0.0086  0.0286  0.0281  0.0475  0.03
Farrell 1958   10  0.512  0.122  0.235  0.5114  0.362  0.43
Ferenczy 1958   47  0.4154  0.0036  0.0533  0.1435  0.1614  0.15
Fliere 1977   19  0.4972  0.0034  0.0619  0.2484  0.0335  0.08
Fou 1978   24  0.4627  0.0052  0.0551  0.0572  0.0459  0.04
Francois 1956   76  0.3063  0.0060  0.0549  0.0582  0.0370  0.04
Friedman 1923   34  0.4536  0.0055  0.0375  0.0331  0.2733  0.09
Friedman 1923b   37  0.4425  0.0056  0.0647  0.0633  0.2621  0.12
Friedman 1930   27  0.4661  0.0053  0.0466  0.0445  0.1242  0.07
Garcia 2007   1  0.721  0.641  0.631  0.811  0.841  0.82
Garcia 2007b   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gierzod 1998   17  0.4955  0.0015  0.078  0.3859  0.0420  0.12
Gornostaeva 1994   28  0.4547  0.0049  0.0554  0.0562  0.0468  0.04
Groot 1988   74  0.3235  0.0022  0.0628  0.1883  0.0343  0.07
Harasiewicz 1955   20  0.496  0.0144  0.0541  0.1074  0.0355  0.05
Hatto 1993   23  0.4678  0.0043  0.0634  0.1457  0.0444  0.07
Hatto 1997   31  0.4577  0.0045  0.0542  0.1079  0.0353  0.05
Horowitz 1949   54  0.4034  0.0065  0.0472  0.0457  0.0462  0.04
Indjic 1988   30  0.4582  0.0046  0.0746  0.0774  0.0352  0.05
Kapell 1951   35  0.4539  0.0010  0.0612  0.3154  0.0518  0.12
Kissin 1993   68  0.3674  0.0073  0.0463  0.0487  0.0378  0.03
Kushner 1989   26  0.4615  0.0116  0.0715  0.2661  0.0522  0.11
Luisada 1991   2  0.5817  0.015  0.117  0.3935  0.205  0.28
Lushtak 2004   36  0.4487  0.0051  0.0459  0.0482  0.0385  0.03
Malcuzynski 1961   62  0.3764  0.0066  0.0471  0.0478  0.0376  0.03
Magaloff 1978   67  0.3668  0.0067  0.0467  0.0481  0.0374  0.03
Magin 1975   13  0.507  0.018  0.1113  0.2739  0.147  0.19
Michalowski 1933   3  0.5522  0.004  0.166  0.4425  0.363  0.40
Milkina 1970   64  0.3789  0.0061  0.0558  0.0578  0.0460  0.04
Mohovich 1999   41  0.4371  0.0050  0.0555  0.0578  0.0365  0.04
Moravec 1969   86  0.2250  0.0084  0.0284  0.0251  0.0472  0.03
Morozova 2008   9  0.5273  0.0017  0.0626  0.1958  0.0430  0.09
Neighaus 1950   4  0.5416  0.017  0.124  0.5448  0.079  0.19
Niedzielski 1931   73  0.3326  0.0029  0.0521  0.2239  0.1410  0.18
Ohlsson 1999   16  0.4957  0.0035  0.0527  0.1961  0.0429  0.09
Osinska 1989   39  0.435  0.0118  0.0520  0.2258  0.0428  0.09
Pachmann 1927   84  0.243  0.0287  0.0288  0.0285  0.0289  0.02
Paderewski 1930   59  0.3856  0.0039  0.0545  0.0942  0.1125  0.10
Perlemuter 1992   33  0.4570  0.009  0.0611  0.3250  0.0515  0.13
Pierdomenico 2008   40  0.4310  0.0158  0.0556  0.0555  0.0551  0.05
Poblocka 1999   49  0.4165  0.0038  0.0438  0.1369  0.0440  0.07
Rabcewiczowa 1932   25  0.4688  0.0047  0.0548  0.0571  0.0358  0.04
Rachmaninoff 1923   44  0.4246  0.0031  0.0544  0.0971  0.0445  0.06
Rangell 2001   72  0.3343  0.0070  0.0470  0.0484  0.0386  0.03
Richter 1976   83  0.2640  0.0080  0.0378  0.0358  0.0563  0.04
Rosen 1989   8  0.5314  0.0113  0.0710  0.3443  0.118  0.19
Rosenthal 1930   77  0.2949  0.0076  0.0468  0.0478  0.0384  0.03
Rosenthal 1931   70  0.3467  0.0074  0.0376  0.0353  0.0480  0.03
Rosenthal 1931b   65  0.3730  0.0071  0.0557  0.0553  0.0556  0.05
Rosenthal 1931c   81  0.2779  0.0077  0.0383  0.0375  0.0387  0.03
Rosenthal 1931d   71  0.3376  0.0075  0.0465  0.0445  0.0849  0.06
Rossi 2007   61  0.3831  0.0064  0.0469  0.0453  0.0650  0.05
Rubinstein 1939   63  0.379  0.0168  0.0462  0.0435  0.2324  0.10
Rubinstein 1952   87  0.2133  0.0085  0.0381  0.0369  0.0488  0.03
Rubinstein 1966   80  0.2791  0.0082  0.0285  0.0268  0.0482  0.03
Schilhawsky 1960   51  0.4012  0.0123  0.0725  0.2051  0.0623  0.11
Shebanova 2002   29  0.4545  0.0011  0.0616  0.2581  0.0331  0.09
Smith 1975   18  0.4975  0.0040  0.0339  0.1281  0.0346  0.06
Sokolov 2002   48  0.4180  0.0057  0.0460  0.0468  0.0373  0.03
Sztompka 1959   6  0.5411  0.013  0.163  0.5539  0.214  0.34
Tomsic 1995   79  0.2966  0.0081  0.0287  0.0271  0.0477  0.03
Uninsky 1932   15  0.4919  0.0033  0.0614  0.2647  0.0716  0.13
Uninsky 1971   46  0.4221  0.0030  0.0523  0.2260  0.0526  0.10
Wasowski 1980   38  0.4438  0.0024  0.0629  0.1874  0.0434  0.08
Zak 1937   60  0.384  0.0126  0.0537  0.1382  0.0347  0.06
Zak 1951   66  0.3629  0.0027  0.0540  0.1175  0.0441  0.07
Average   5  0.5485  0.006  0.162  0.5575  0.0413  0.15
Random 1   90  -0.0859  0.0089  0.0289  0.0210  0.4727  0.10
Random 2   91  -0.1858  0.0091  0.0191  0.0183  0.0291  0.01
Random 3   89  0.0162  0.0090  0.0190  0.0119  0.2954  0.05

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).