Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.4710  0.0215  0.0720  0.535  0.6315  0.58
Anderszewski 2003   35  0.4025  0.0022  0.0832  0.4128  0.4130  0.41
Ashkenazy 1981   69  0.3155  0.0077  0.0474  0.0475  0.0481  0.04
Bacha 2000   23  0.4452  0.0030  0.1026  0.466  0.6517  0.55
Badura 1965   44  0.3835  0.0045  0.0946  0.0916  0.4544  0.20
Barbosa 1983   14  0.4740  0.0025  0.0916  0.5628  0.3428  0.44
Biret 1990   39  0.3916  0.0127  0.1041  0.2528  0.3936  0.31
Blet 2003   72  0.2979  0.0074  0.0569  0.0557  0.0477  0.04
Block 1995   33  0.4138  0.0036  0.0735  0.4029  0.3235  0.36
Blumental 1952   25  0.4424  0.0029  0.0923  0.5125  0.4427  0.47
Boshniakovich 1969   62  0.3361  0.0050  0.0657  0.0665  0.0571  0.05
Brailowsky 1960   7  0.493  0.079  0.1310  0.606  0.727  0.66
Bunin 1987   64  0.3377  0.0062  0.0565  0.0535  0.2051  0.10
Bunin 1987b   61  0.3465  0.0058  0.0476  0.0433  0.2749  0.10
Chiu 1999   65  0.3353  0.0057  0.0475  0.0470  0.0473  0.04
Cohen 1997   21  0.4439  0.0028  0.0819  0.544  0.7110  0.62
Cortot 1951   42  0.3841  0.0048  0.0851  0.0811  0.6143  0.22
Csalog 1996   75  0.2788  0.0078  0.0382  0.0386  0.0290  0.02
Czerny 1949   1  0.521  0.401  0.401  0.765  0.801  0.78
Czerny 1990   54  0.3545  0.0047  0.0752  0.0753  0.0659  0.06
Duchoud 2007   82  0.2076  0.0080  0.0478  0.0475  0.0480  0.04
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   8  0.4814  0.0116  0.079  0.6112  0.4421  0.52
Farrell 1958   38  0.3919  0.0144  0.1242  0.2424  0.3539  0.29
Ferenczy 1958   20  0.4526  0.0031  0.1127  0.454  0.7714  0.59
Fliere 1977   27  0.4359  0.0033  0.0729  0.4253  0.0647  0.16
Fou 1978   11  0.4733  0.0018  0.0817  0.5620  0.4822  0.52
Francois 1956   55  0.3551  0.0041  0.0944  0.1718  0.5438  0.30
Friedman 1923   81  0.2089  0.0083  0.0471  0.0488  0.0287  0.03
Friedman 1923b   83  0.2087  0.0082  0.0384  0.0384  0.0386  0.03
Friedman 1930   76  0.2485  0.0075  0.0480  0.0467  0.0479  0.04
Garcia 2007   79  0.2270  0.0073  0.0568  0.0555  0.0570  0.05
Garcia 2007b   77  0.2360  0.0076  0.0473  0.0452  0.0583  0.04
Gierzod 1998   4  0.518  0.033  0.195  0.683  0.705  0.69
Gornostaeva 1994   10  0.4732  0.0014  0.1011  0.608  0.6411  0.62
Groot 1988   53  0.3636  0.0049  0.0947  0.0976  0.0460  0.06
Harasiewicz 1955   13  0.4749  0.0019  0.0814  0.5836  0.2333  0.37
Hatto 1993   47  0.3746  0.0054  0.0560  0.0568  0.0482  0.04
Hatto 1997   26  0.4329  0.0034  0.0739  0.3334  0.2340  0.28
Horowitz 1949   85  0.1468  0.0085  0.0285  0.0270  0.0485  0.03
Indjic 1988   57  0.3462  0.0063  0.0563  0.0557  0.0668  0.05
Kapell 1951   67  0.3243  0.0051  0.0755  0.0766  0.0556  0.06
Kissin 1993   56  0.3531  0.0060  0.0472  0.0455  0.0767  0.05
Kushner 1989   34  0.4147  0.0043  0.0943  0.2340  0.1446  0.18
Luisada 1991   52  0.3658  0.0064  0.0756  0.0764  0.0655  0.06
Lushtak 2004   32  0.4166  0.0038  0.1034  0.4026  0.3234  0.36
Malcuzynski 1961   9  0.4812  0.014  0.163  0.708  0.619  0.65
Magaloff 1978   29  0.4234  0.0040  0.1238  0.3431  0.2737  0.30
Magin 1975   70  0.3156  0.0069  0.0658  0.0680  0.0464  0.05
Michalowski 1933   86  0.1280  0.0088  0.0286  0.0281  0.0389  0.02
Milkina 1970   30  0.4227  0.0021  0.0828  0.4228  0.4329  0.42
Mohovich 1999   5  0.499  0.025  0.136  0.686  0.696  0.68
Moravec 1969   24  0.4418  0.0117  0.0824  0.509  0.5023  0.50
Morozova 2008   22  0.4422  0.0020  0.0815  0.5716  0.5019  0.53
Neighaus 1950   59  0.3483  0.0065  0.0754  0.0746  0.0661  0.06
Niedzielski 1931   84  0.1873  0.0084  0.0481  0.0467  0.0474  0.04
Ohlsson 1999   40  0.3942  0.0037  0.0936  0.3741  0.1441  0.23
Osinska 1989   18  0.467  0.037  0.1221  0.5224  0.4625  0.49
Pachmann 1927   73  0.2878  0.0070  0.0566  0.0556  0.0666  0.05
Paderewski 1930   87  0.0969  0.0087  0.0287  0.0278  0.0388  0.02
Perlemuter 1992   74  0.2837  0.0071  0.0659  0.0666  0.0563  0.05
Pierdomenico 2008   80  0.2254  0.0079  0.0383  0.0380  0.0384  0.03
Poblocka 1999   19  0.4513  0.0124  0.0830  0.4230  0.3532  0.38
Rabcewiczowa 1932   15  0.4611  0.0110  0.128  0.658  0.658  0.65
Rachmaninoff 1923   58  0.3464  0.0066  0.0849  0.0844  0.1152  0.09
Rangell 2001   41  0.394  0.0512  0.1222  0.514  0.6416  0.57
Richter 1976   48  0.3771  0.0055  0.0562  0.0573  0.0475  0.04
Rosen 1989   17  0.4620  0.0013  0.1112  0.5814  0.4324  0.50
Rosenthal 1930   36  0.4050  0.0035  0.0731  0.4110  0.6920  0.53
Rosenthal 1931   31  0.425  0.0311  0.1225  0.498  0.7513  0.61
Rosenthal 1931b   45  0.3721  0.0032  0.0733  0.409  0.7218  0.54
Rosenthal 1931c   28  0.4217  0.0126  0.1018  0.555  0.7112  0.62
Rosenthal 1931d   50  0.3623  0.0039  0.1337  0.359  0.6926  0.49
Rossi 2007   78  0.2286  0.0081  0.0479  0.0460  0.0572  0.04
Rubinstein 1939   46  0.3781  0.0052  0.1045  0.1033  0.1748  0.13
Rubinstein 1952   37  0.4030  0.0042  0.0840  0.2743  0.2042  0.23
Rubinstein 1966   16  0.4648  0.0023  0.0713  0.5827  0.2831  0.40
Schilhawsky 1960   68  0.3284  0.0072  0.0470  0.0468  0.0478  0.04
Shebanova 2002   60  0.3463  0.0067  0.0850  0.0867  0.0654  0.07
Smith 1975   2  0.526  0.038  0.124  0.693  0.762  0.72
Sokolov 2002   49  0.3628  0.0046  0.0848  0.0823  0.4245  0.18
Sztompka 1959   66  0.3257  0.0061  0.0561  0.0578  0.0476  0.04
Tomsic 1995   6  0.492  0.152  0.257  0.671  0.733  0.70
Uninsky 1932   63  0.3372  0.0059  0.0477  0.0445  0.0669  0.05
Uninsky 1971   3  0.5115  0.016  0.152  0.724  0.664  0.69
Wasowski 1980   71  0.3082  0.0068  0.0564  0.0565  0.0562  0.05
Zak 1937   51  0.3667  0.0056  0.0567  0.0559  0.0565  0.05
Zak 1951   43  0.3844  0.0053  0.0753  0.0749  0.0657  0.06
Random 1   89  0.0074  0.0089  0.0289  0.0220  0.3753  0.09
Random 2   88  0.0875  0.0086  0.0288  0.026  0.4650  0.10
Random 3   90  -0.0490  0.0090  0.0190  0.0115  0.3658  0.06

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).