Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   63  0.2355  0.0071  0.0375  0.0375  0.0375  0.03
Anderszewski 2003   43  0.3030  0.0028  0.0732  0.2260  0.0337  0.08
Ashkenazy 1981   10  0.4410  0.0415  0.0823  0.3377  0.0332  0.10
Bacha 2000   12  0.4380  0.0026  0.0824  0.3330  0.337  0.33
Badura 1965   72  0.2068  0.0065  0.0459  0.0476  0.0377  0.03
Barbosa 1983   59  0.2619  0.0135  0.0536  0.1567  0.0436  0.08
Biret 1990   13  0.4240  0.0012  0.1410  0.4840  0.1511  0.27
Blet 2003   77  0.1872  0.0079  0.0283  0.0282  0.0382  0.02
Block 1995   35  0.346  0.058  0.1234  0.1934  0.1817  0.18
Blumental 1952   78  0.1661  0.0078  0.0281  0.0282  0.0386  0.02
Boshniakovich 1969   57  0.2773  0.0048  0.0461  0.0455  0.0461  0.04
Brailowsky 1960   2  0.4712  0.034  0.165  0.5210  0.454  0.48
Bunin 1987   67  0.2335  0.0074  0.0651  0.0684  0.0362  0.04
Bunin 1987b   66  0.2356  0.0073  0.0463  0.0486  0.0268  0.03
Chiu 1999   33  0.3429  0.0042  0.0639  0.1482  0.0343  0.06
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   37  0.3328  0.0049  0.0553  0.0547  0.0652  0.05
Csalog 1996   1  0.478  0.043  0.136  0.5213  0.502  0.51
Czerny 1949   71  0.2048  0.0058  0.0457  0.0464  0.0374  0.03
Czerny 1990   79  0.1669  0.0082  0.0377  0.0388  0.0288  0.02
Duchoud 2007   47  0.3041  0.0054  0.0554  0.0570  0.0460  0.04
Ezaki 2006   32  0.3417  0.0133  0.0538  0.1479  0.0341  0.06
Falvay 1989   9  0.447  0.046  0.149  0.4953  0.0518  0.16
Farrell 1958   23  0.3785  0.0037  0.0531  0.2346  0.0529  0.11
Ferenczy 1958   27  0.3515  0.0132  0.0626  0.3131  0.2112  0.26
Fliere 1977   42  0.3178  0.0060  0.0458  0.0464  0.0455  0.04
Fou 1978   16  0.4167  0.0023  0.0622  0.3564  0.0427  0.12
Francois 1956   54  0.285  0.0621  0.0729  0.2667  0.0335  0.09
Friedman 1923   90  -0.0786  0.0090  0.0190  0.0188  0.0290  0.01
Friedman 1923b   89  -0.0781  0.0089  0.0289  0.0288  0.0287  0.02
Friedman 1930   83  0.1074  0.0081  0.0282  0.0282  0.0283  0.02
Garcia 2007   81  0.1559  0.0067  0.0376  0.0383  0.0285  0.02
Garcia 2007b   74  0.1976  0.0069  0.0374  0.0369  0.0379  0.03
Gierzod 1998   19  0.3875  0.0024  0.0720  0.3654  0.0525  0.13
Gornostaeva 1994   38  0.339  0.0418  0.0733  0.2043  0.1223  0.15
Groot 1988   36  0.3477  0.0046  0.0650  0.0683  0.0278  0.03
Harasiewicz 1955   48  0.3034  0.0045  0.0646  0.0660  0.0453  0.05
Hatto 1993   55  0.2879  0.0039  0.0540  0.1379  0.0345  0.06
Hatto 1997   40  0.3237  0.0016  0.0825  0.3275  0.0331  0.10
Horowitz 1949   73  0.1958  0.0066  0.0373  0.0371  0.0371  0.03
Indjic 1988   58  0.2749  0.0038  0.0537  0.1583  0.0250  0.05
Kapell 1951   45  0.3054  0.0055  0.0460  0.0475  0.0367  0.03
Kissin 1993   44  0.3064  0.0052  0.0647  0.0672  0.0449  0.05
Kushner 1989   30  0.3444  0.0051  0.0845  0.0885  0.0347  0.05
Luisada 1991   53  0.2887  0.0059  0.0462  0.0468  0.0454  0.04
Lushtak 2004   17  0.4026  0.0020  0.0811  0.4760  0.0424  0.14
Malcuzynski 1961   49  0.3027  0.0064  0.0469  0.0482  0.0369  0.03
Magaloff 1978   4  0.4636  0.0010  0.104  0.5353  0.0420  0.15
Magin 1975   76  0.1843  0.0080  0.0379  0.0377  0.0366  0.03
Michalowski 1933   75  0.1920  0.0156  0.0468  0.0469  0.0457  0.04
Milkina 1970   7  0.453  0.085  0.153  0.5625  0.325  0.42
Mohovich 1999   41  0.3265  0.0040  0.0635  0.1765  0.0439  0.08
Moravec 1969   56  0.2824  0.0161  0.0467  0.0478  0.0363  0.03
Morozova 2008   70  0.2150  0.0072  0.0465  0.0469  0.0459  0.04
Neighaus 1950   29  0.3439  0.0041  0.0542  0.1185  0.0251  0.05
Niedzielski 1931   82  0.1157  0.0085  0.0285  0.0287  0.0281  0.02
Ohlsson 1999   15  0.4125  0.0122  0.0614  0.4079  0.0330  0.11
Osinska 1989   11  0.4313  0.0211  0.128  0.5041  0.1213  0.24
Pachmann 1927   20  0.3832  0.0017  0.0815  0.4035  0.1910  0.28
Paderewski 1930   39  0.3282  0.0044  0.0544  0.1060  0.0444  0.06
Perlemuter 1992   61  0.2562  0.0068  0.0371  0.0380  0.0364  0.03
Pierdomenico 2008   46  0.3070  0.0043  0.0541  0.1265  0.0440  0.07
Poblocka 1999   14  0.4251  0.0025  0.0716  0.3962  0.0426  0.12
Rabcewiczowa 1932   51  0.2945  0.0047  0.0649  0.0665  0.0446  0.05
Rachmaninoff 1923   88  0.0071  0.0087  0.0286  0.0288  0.0189  0.01
Rangell 2001   18  0.394  0.077  0.1212  0.4144  0.1215  0.22
Richter 1976   26  0.3647  0.0050  0.0648  0.0657  0.0448  0.05
Rosen 1989   6  0.4518  0.0113  0.1018  0.3740  0.1414  0.23
Rosenthal 1930   52  0.2966  0.0057  0.0466  0.0469  0.0376  0.03
Rosenthal 1931   34  0.3446  0.0029  0.0817  0.3724  0.288  0.32
Rosenthal 1931b   31  0.3438  0.0030  0.1221  0.3526  0.279  0.31
Rosenthal 1931c   22  0.3721  0.0131  0.0828  0.2743  0.0919  0.16
Rosenthal 1931d   24  0.3642  0.0027  0.1113  0.4121  0.296  0.34
Rossi 2007   86  0.0352  0.0083  0.0288  0.0276  0.0280  0.02
Rubinstein 1939   21  0.381  0.211  0.217  0.506  0.503  0.50
Rubinstein 1952   3  0.472  0.102  0.211  0.6110  0.521  0.56
Rubinstein 1966   28  0.3560  0.0019  0.0930  0.2639  0.1416  0.19
Schilhawsky 1960   65  0.2388  0.0075  0.0464  0.0470  0.0373  0.03
Shebanova 2002   5  0.4563  0.0014  0.1719  0.3651  0.0622  0.15
Smith 1975   8  0.4511  0.049  0.112  0.5966  0.0421  0.15
Sokolov 2002   60  0.2622  0.0170  0.0372  0.0384  0.0365  0.03
Sztompka 1959   62  0.2333  0.0076  0.0470  0.0483  0.0372  0.03
Tomsic 1995   25  0.3631  0.0034  0.0827  0.2875  0.0333  0.09
Uninsky 1932   85  0.0489  0.0088  0.0380  0.0386  0.0284  0.02
Uninsky 1971   64  0.2314  0.0253  0.0555  0.0581  0.0358  0.04
Wasowski 1980   50  0.3016  0.0136  0.0543  0.1177  0.0342  0.06
Zak 1937   69  0.2283  0.0063  0.0552  0.0573  0.0456  0.04
Zak 1951   68  0.2284  0.0062  0.0456  0.0481  0.0370  0.03
Random 1   87  0.0353  0.0086  0.0284  0.0211  0.4134  0.09
Random 2   84  0.0490  0.0084  0.0287  0.0216  0.3238  0.08
Random 3   80  0.1523  0.0177  0.0378  0.037  0.4528  0.12

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).