Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.2968  0.0072  0.0381  0.0355  0.0483  0.03
Anderszewski 2003   38  0.3330  0.0026  0.0533  0.1566  0.0534  0.09
Ashkenazy 1981   67  0.2763  0.0070  0.0457  0.0457  0.0385  0.03
Bacha 2000   26  0.3548  0.0015  0.0711  0.3519  0.393  0.37
Badura 1965   84  0.2064  0.0077  0.0287  0.0284  0.0289  0.02
Barbosa 1983   40  0.3344  0.0050  0.0453  0.0477  0.0379  0.03
Biret 1990   18  0.3738  0.0013  0.0716  0.3180  0.0331  0.10
Blet 2003   56  0.3018  0.0118  0.0723  0.2231  0.206  0.21
Block 1995   85  0.1879  0.0085  0.0373  0.0364  0.0484  0.03
Blumental 1952   25  0.3584  0.0030  0.0524  0.2251  0.0623  0.11
Boshniakovich 1969   29  0.3554  0.0020  0.0620  0.2767  0.0429  0.10
Brailowsky 1960   65  0.2746  0.0064  0.0548  0.0572  0.0458  0.04
Bunin 1987   53  0.3169  0.0038  0.0427  0.2051  0.0530  0.10
Bunin 1987b   57  0.2973  0.0039  0.0730  0.1838  0.1611  0.17
Chiu 1999   48  0.3114  0.0235  0.0435  0.1346  0.0726  0.10
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   54  0.3023  0.0155  0.0552  0.0529  0.3317  0.13
Csalog 1996   64  0.2729  0.0034  0.0437  0.1276  0.0442  0.07
Czerny 1949   47  0.3234  0.0062  0.0646  0.0678  0.0366  0.04
Czerny 1990   41  0.3385  0.0060  0.0458  0.0476  0.0386  0.03
Duchoud 2007   76  0.2440  0.0058  0.0456  0.0454  0.0653  0.05
Ezaki 2006   24  0.3521  0.0145  0.0454  0.0477  0.0369  0.03
Falvay 1989   6  0.415  0.077  0.099  0.4056  0.0515  0.14
Farrell 1958   43  0.3255  0.0056  0.0459  0.0472  0.0461  0.04
Ferenczy 1958   78  0.2374  0.0080  0.0380  0.0379  0.0382  0.03
Fliere 1977   42  0.3356  0.0048  0.0463  0.0480  0.0370  0.03
Fou 1978   33  0.3458  0.0046  0.0549  0.0555  0.0552  0.05
Francois 1956   35  0.3445  0.0036  0.0432  0.1647  0.0633  0.10
Friedman 1923   82  0.2135  0.0079  0.0468  0.0448  0.0656  0.05
Friedman 1923b   83  0.2070  0.0078  0.0382  0.0359  0.0567  0.04
Friedman 1930   73  0.2557  0.0041  0.0444  0.0849  0.0743  0.07
Garcia 2007   49  0.3153  0.0063  0.0645  0.0644  0.1138  0.08
Garcia 2007b   1  0.441  0.131  0.132  0.5927  0.351  0.45
Gierzod 1998   10  0.3936  0.0017  0.0617  0.2969  0.0421  0.11
Gornostaeva 1994   30  0.3442  0.0032  0.0534  0.1577  0.0345  0.07
Groot 1988   11  0.392  0.133  0.233  0.5729  0.224  0.35
Harasiewicz 1955   16  0.3726  0.0029  0.0526  0.2072  0.0435  0.09
Hatto 1993   22  0.364  0.075  0.234  0.5460  0.0414  0.15
Hatto 1997   17  0.379  0.034  0.135  0.5453  0.0513  0.16
Horowitz 1949   74  0.2549  0.0066  0.0465  0.0443  0.1141  0.07
Indjic 1988   21  0.3613  0.026  0.236  0.5355  0.0512  0.16
Kapell 1951   37  0.336  0.0625  0.0639  0.1067  0.0446  0.06
Kissin 1993   71  0.2661  0.0083  0.0379  0.0380  0.0378  0.03
Kushner 1989   9  0.407  0.0411  0.0812  0.3373  0.0420  0.11
Luisada 1991   20  0.3611  0.0321  0.0622  0.2358  0.0425  0.10
Lushtak 2004   28  0.3586  0.0027  0.0615  0.3167  0.0422  0.11
Malcuzynski 1961   60  0.2971  0.0057  0.0464  0.0479  0.0274  0.03
Magaloff 1978   52  0.3172  0.0052  0.0455  0.0473  0.0373  0.03
Magin 1975   14  0.3750  0.0043  0.0440  0.0954  0.0540  0.07
Michalowski 1933   87  0.1380  0.0087  0.0383  0.0366  0.0377  0.03
Milkina 1970   2  0.433  0.122  0.161  0.6151  0.067  0.19
Mohovich 1999   23  0.3637  0.0044  0.0443  0.0885  0.0355  0.05
Moravec 1969   19  0.3624  0.0149  0.0462  0.0465  0.0557  0.04
Morozova 2008   69  0.2675  0.0068  0.0374  0.0381  0.0381  0.03
Neighaus 1950   70  0.2647  0.0075  0.0384  0.0357  0.0568  0.04
Niedzielski 1931   62  0.288  0.0419  0.0728  0.1833  0.199  0.18
Ohlsson 1999   36  0.3315  0.0212  0.0718  0.2766  0.0428  0.10
Osinska 1989   15  0.3776  0.0031  0.0629  0.1876  0.0339  0.07
Pachmann 1927   86  0.1781  0.0086  0.0385  0.0379  0.0376  0.03
Paderewski 1930   80  0.2182  0.0065  0.0372  0.0343  0.1247  0.06
Perlemuter 1992   51  0.3187  0.0040  0.0442  0.0841  0.1419  0.11
Pierdomenico 2008   7  0.4016  0.0114  0.0714  0.3221  0.482  0.39
Poblocka 1999   75  0.2567  0.0074  0.0378  0.0380  0.0371  0.03
Rabcewiczowa 1932   31  0.3428  0.0024  0.0625  0.2175  0.0336  0.08
Rachmaninoff 1923   61  0.2877  0.0042  0.0441  0.0977  0.0351  0.05
Rangell 2001   8  0.4027  0.0016  0.0813  0.3261  0.0616  0.14
Richter 1976   66  0.2788  0.0071  0.0377  0.0380  0.0375  0.03
Rosen 1989   34  0.3412  0.0337  0.0538  0.1161  0.0444  0.07
Rosenthal 1930   72  0.2689  0.0076  0.0371  0.0343  0.1054  0.05
Rosenthal 1931   68  0.2743  0.0067  0.0376  0.0343  0.1148  0.06
Rosenthal 1931b   55  0.3020  0.0147  0.0461  0.0432  0.2332  0.10
Rosenthal 1931c   79  0.2351  0.0082  0.0370  0.0376  0.0488  0.03
Rosenthal 1931d   77  0.2431  0.0081  0.0286  0.0252  0.0687  0.03
Rossi 2007   13  0.3741  0.0022  0.0621  0.2732  0.235  0.25
Rubinstein 1939   44  0.3283  0.0053  0.0551  0.0579  0.0360  0.04
Rubinstein 1952   3  0.4210  0.0310  0.0810  0.3978  0.0324  0.11
Rubinstein 1966   4  0.4225  0.019  0.097  0.4947  0.078  0.19
Schilhawsky 1960   63  0.2865  0.0073  0.0469  0.0487  0.0280  0.03
Shebanova 2002   32  0.3462  0.0059  0.0550  0.0575  0.0465  0.04
Smith 1975   46  0.3233  0.0061  0.0647  0.0679  0.0359  0.04
Sokolov 2002   81  0.2152  0.0084  0.0375  0.0365  0.0372  0.03
Sztompka 1959   58  0.2959  0.0069  0.0466  0.0475  0.0463  0.04
Tomsic 1995   27  0.3522  0.0133  0.0536  0.1347  0.0827  0.10
Uninsky 1932   45  0.3219  0.0151  0.0467  0.0470  0.0464  0.04
Uninsky 1971   5  0.4117  0.018  0.098  0.4646  0.0710  0.18
Wasowski 1980   12  0.3832  0.0023  0.0619  0.2775  0.0518  0.12
Zak 1937   50  0.3160  0.0054  0.0460  0.0470  0.0462  0.04
Zak 1951   39  0.3390  0.0028  0.0531  0.1766  0.0437  0.08
Random 1   89  -0.0278  0.0089  0.0289  0.0238  0.1750  0.06
Random 2   88  0.0439  0.0088  0.0288  0.0236  0.1649  0.06
Random 3   90  -0.0966  0.0090  0.0190  0.0157  0.0490  0.02

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).