Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.2968  0.0073  0.0382  0.0356  0.0484  0.03
Anderszewski 2003   39  0.3335  0.0027  0.0534  0.1567  0.0438  0.08
Ashkenazy 1981   68  0.2761  0.0071  0.0458  0.0458  0.0386  0.03
Bacha 2000   27  0.3546  0.0016  0.0712  0.3520  0.393  0.37
Badura 1965   85  0.2064  0.0078  0.0288  0.0285  0.0290  0.02
Barbosa 1983   41  0.3340  0.0051  0.0454  0.0478  0.0379  0.03
Biret 1990   19  0.3743  0.0014  0.0717  0.3181  0.0331  0.10
Blet 2003   57  0.3019  0.0119  0.0724  0.2232  0.206  0.21
Block 1995   86  0.1878  0.0086  0.0374  0.0365  0.0485  0.03
Blumental 1952   26  0.3584  0.0031  0.0525  0.2252  0.0623  0.11
Boshniakovich 1969   30  0.3554  0.0021  0.0621  0.2768  0.0429  0.10
Brailowsky 1960   66  0.2744  0.0065  0.0549  0.0573  0.0459  0.04
Bunin 1987   54  0.3169  0.0039  0.0428  0.2052  0.0530  0.10
Bunin 1987b   58  0.2985  0.0040  0.0731  0.1839  0.1611  0.17
Chiu 1999   49  0.3113  0.0236  0.0436  0.1347  0.0634  0.09
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   55  0.3020  0.0156  0.0453  0.0430  0.3324  0.11
Csalog 1996   65  0.2726  0.0035  0.0438  0.1277  0.0443  0.07
Czerny 1949   48  0.3231  0.0063  0.0647  0.0679  0.0366  0.04
Czerny 1990   42  0.3386  0.0061  0.0459  0.0477  0.0387  0.03
Duchoud 2007   77  0.2437  0.0059  0.0457  0.0455  0.0654  0.05
Ezaki 2006   25  0.3517  0.0146  0.0455  0.0478  0.0369  0.03
Falvay 1989   7  0.414  0.048  0.0910  0.4057  0.0516  0.14
Farrell 1958   44  0.3252  0.0057  0.0460  0.0473  0.0462  0.04
Ferenczy 1958   79  0.2373  0.0081  0.0381  0.0380  0.0382  0.03
Fliere 1977   43  0.3353  0.0049  0.0464  0.0481  0.0370  0.03
Fou 1978   34  0.3455  0.0047  0.0550  0.0556  0.0553  0.05
Francois 1956   36  0.3442  0.0037  0.0433  0.1648  0.0633  0.10
Friedman 1923   83  0.2132  0.0080  0.0469  0.0449  0.0657  0.05
Friedman 1923b   84  0.2070  0.0079  0.0383  0.0360  0.0567  0.04
Friedman 1930   74  0.2556  0.0042  0.0445  0.0850  0.0744  0.07
Garcia 2007   50  0.3151  0.0064  0.0646  0.0645  0.1139  0.08
Garcia 2007b   2  0.443  0.052  0.133  0.5928  0.351  0.45
Gierzod 1998   11  0.3979  0.0018  0.0618  0.2970  0.0421  0.11
Gornostaeva 1994   31  0.3439  0.0033  0.0535  0.1578  0.0346  0.07
Groot 1988   12  0.397  0.024  0.224  0.5730  0.224  0.35
Harasiewicz 1955   17  0.3722  0.0030  0.0527  0.2073  0.0435  0.09
Hatto 1993   23  0.3611  0.026  0.235  0.5461  0.0415  0.15
Hatto 1997   18  0.3712  0.025  0.136  0.5454  0.0514  0.16
Horowitz 1949   75  0.2547  0.0067  0.0466  0.0444  0.1142  0.07
Indjic 1988   22  0.3623  0.007  0.237  0.5356  0.0513  0.16
Kapell 1951   38  0.332  0.0626  0.0640  0.1068  0.0447  0.06
Kissin 1993   72  0.2660  0.0084  0.0380  0.0381  0.0378  0.03
Kushner 1989   10  0.409  0.0212  0.0813  0.3374  0.0420  0.11
Luisada 1991   21  0.366  0.0322  0.0623  0.2359  0.0426  0.10
Lushtak 2004   29  0.3587  0.0028  0.0616  0.3168  0.0422  0.11
Malcuzynski 1961   61  0.2971  0.0058  0.0465  0.0480  0.0274  0.03
Magaloff 1978   53  0.3172  0.0053  0.0456  0.0474  0.0373  0.03
Magin 1975   15  0.3749  0.0044  0.0441  0.0955  0.0541  0.07
Michalowski 1933   88  0.1380  0.0088  0.0384  0.0367  0.0377  0.03
Milkina 1970   3  0.4324  0.003  0.152  0.6152  0.067  0.19
Mohovich 1999   24  0.3633  0.0045  0.0444  0.0886  0.0356  0.05
Moravec 1969   20  0.3621  0.0150  0.0463  0.0466  0.0558  0.04
Morozova 2008   70  0.2674  0.0069  0.0375  0.0382  0.0381  0.03
Neighaus 1950   71  0.2645  0.0076  0.0385  0.0358  0.0568  0.04
Niedzielski 1931   63  0.285  0.0320  0.0729  0.1834  0.199  0.18
Ohlsson 1999   37  0.3314  0.0113  0.0719  0.2767  0.0428  0.10
Osinska 1989   16  0.3775  0.0032  0.0530  0.1877  0.0340  0.07
Pachmann 1927   87  0.1781  0.0087  0.0386  0.0380  0.0376  0.03
Paderewski 1930   81  0.2182  0.0066  0.0373  0.0344  0.1248  0.06
Perlemuter 1992   52  0.3188  0.0041  0.0443  0.0842  0.1419  0.11
Pierdomenico 2008   8  0.4015  0.0115  0.0715  0.3222  0.482  0.39
Poblocka 1999   76  0.2567  0.0075  0.0379  0.0381  0.0371  0.03
Rabcewiczowa 1932   32  0.3434  0.0025  0.0626  0.2176  0.0336  0.08
Rachmaninoff 1923   62  0.2876  0.0043  0.0442  0.0978  0.0352  0.05
Rangell 2001   9  0.4028  0.0017  0.0814  0.3262  0.0617  0.14
Richter 1976   67  0.2789  0.0072  0.0378  0.0381  0.0375  0.03
Rosen 1989   35  0.348  0.0238  0.0439  0.1162  0.0445  0.07
Rosenthal 1930   73  0.2690  0.0077  0.0372  0.0344  0.1055  0.05
Rosenthal 1931   69  0.2738  0.0068  0.0377  0.0344  0.1149  0.06
Rosenthal 1931b   56  0.3016  0.0148  0.0462  0.0433  0.2332  0.10
Rosenthal 1931c   80  0.2348  0.0083  0.0371  0.0377  0.0389  0.03
Rosenthal 1931d   78  0.2427  0.0082  0.0287  0.0253  0.0588  0.03
Rossi 2007   14  0.3757  0.0023  0.0622  0.2733  0.235  0.25
Rubinstein 1939   45  0.3283  0.0054  0.0552  0.0580  0.0361  0.04
Rubinstein 1952   4  0.4210  0.0211  0.0811  0.3979  0.0325  0.11
Rubinstein 1966   5  0.4263  0.0010  0.098  0.4948  0.078  0.19
Schilhawsky 1960   64  0.2865  0.0074  0.0470  0.0488  0.0280  0.03
Shebanova 2002   33  0.3462  0.0060  0.0551  0.0576  0.0465  0.04
Smith 1975   47  0.3230  0.0062  0.0548  0.0580  0.0360  0.04
Sokolov 2002   82  0.2150  0.0085  0.0376  0.0366  0.0372  0.03
Sztompka 1959   59  0.2958  0.0070  0.0467  0.0476  0.0464  0.04
Tomsic 1995   28  0.3518  0.0134  0.0537  0.1348  0.0827  0.10
Uninsky 1932   46  0.3225  0.0052  0.0468  0.0471  0.0383  0.03
Uninsky 1971   6  0.4141  0.009  0.099  0.4647  0.0710  0.18
Wasowski 1980   13  0.3829  0.0024  0.0620  0.2776  0.0518  0.12
Zak 1937   51  0.3159  0.0055  0.0461  0.0471  0.0463  0.04
Zak 1951   40  0.3391  0.0029  0.0532  0.1767  0.0437  0.08
Average   1  0.511  0.501  0.491  0.7172  0.0412  0.17
Random 1   90  -0.0277  0.0090  0.0290  0.0241  0.1751  0.06
Random 2   89  0.0436  0.0089  0.0289  0.0236  0.1650  0.06
Random 3   91  -0.0966  0.0091  0.0191  0.0158  0.0391  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).