Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.3969  0.0056  0.0555  0.0569  0.0457  0.04
Anderszewski 2003   34  0.3913  0.0132  0.0537  0.1388  0.0346  0.06
Ashkenazy 1981   27  0.4047  0.0062  0.0371  0.0368  0.0482  0.03
Bacha 2000   3  0.5232  0.008  0.162  0.5334  0.204  0.33
Badura 1965   61  0.3152  0.0073  0.0373  0.0384  0.0380  0.03
Barbosa 1983   17  0.4626  0.0020  0.0820  0.3380  0.0424  0.11
Biret 1990   15  0.4854  0.0018  0.0619  0.3485  0.0329  0.10
Blet 2003   28  0.402  0.192  0.196  0.4925  0.302  0.38
Block 1995   84  0.1780  0.0079  0.0287  0.0279  0.0481  0.03
Blumental 1952   1  0.564  0.063  0.1812  0.4254  0.0513  0.14
Boshniakovich 1969   66  0.3061  0.0055  0.0551  0.0583  0.0459  0.04
Brailowsky 1960   50  0.3553  0.0061  0.0466  0.0466  0.0551  0.04
Bunin 1987   82  0.2181  0.0082  0.0386  0.0373  0.0483  0.03
Bunin 1987b   83  0.2084  0.0083  0.0463  0.0471  0.0454  0.04
Chiu 1999   6  0.5221  0.0119  0.0822  0.3063  0.0420  0.11
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   63  0.3045  0.0068  0.0377  0.0358  0.0561  0.04
Csalog 1996   51  0.3531  0.0011  0.1014  0.4043  0.136  0.23
Czerny 1949   69  0.2941  0.0076  0.0456  0.0488  0.0276  0.03
Czerny 1990   25  0.4185  0.0034  0.0435  0.1982  0.0337  0.08
Duchoud 2007   55  0.3330  0.0064  0.0376  0.0384  0.0378  0.03
Ezaki 2006   21  0.4359  0.0040  0.0443  0.1166  0.0438  0.07
Falvay 1989   10  0.503  0.104  0.173  0.5237  0.253  0.36
Farrell 1958   16  0.4755  0.0021  0.0624  0.2976  0.0421  0.11
Ferenczy 1958   46  0.3666  0.0039  0.0544  0.1085  0.0349  0.05
Fliere 1977   39  0.3829  0.0038  0.0438  0.1372  0.0439  0.07
Fou 1978   8  0.5174  0.0015  0.139  0.4583  0.0318  0.12
Francois 1956   38  0.3937  0.0030  0.0628  0.2475  0.0430  0.10
Friedman 1923   62  0.3057  0.0081  0.0384  0.0388  0.0291  0.02
Friedman 1923b   65  0.3070  0.0080  0.0385  0.0388  0.0290  0.02
Friedman 1930   64  0.3072  0.0077  0.0381  0.0388  0.0287  0.02
Garcia 2007   32  0.3965  0.0050  0.0552  0.0570  0.0458  0.04
Garcia 2007b   20  0.438  0.0316  0.1011  0.4260  0.0416  0.13
Gierzod 1998   44  0.3733  0.0037  0.0541  0.1165  0.0442  0.07
Gornostaeva 1994   56  0.3343  0.0049  0.0550  0.0578  0.0360  0.04
Groot 1988   40  0.3825  0.0029  0.0521  0.3066  0.0426  0.11
Harasiewicz 1955   35  0.3922  0.0153  0.0459  0.0485  0.0385  0.03
Hatto 1993   14  0.4817  0.0112  0.1115  0.4067  0.0415  0.13
Hatto 1997   12  0.4942  0.0013  0.1016  0.4069  0.0414  0.13
Horowitz 1949   86  0.1763  0.0087  0.0372  0.0380  0.0368  0.03
Indjic 1988   13  0.4835  0.0014  0.1217  0.3974  0.0323  0.11
Kapell 1951   58  0.3214  0.0151  0.0648  0.0672  0.0448  0.05
Kissin 1993   60  0.3162  0.0071  0.0467  0.0488  0.0272  0.03
Kushner 1989   23  0.4210  0.0225  0.0513  0.4179  0.0322  0.11
Luisada 1991   18  0.4611  0.0124  0.0525  0.2874  0.0331  0.09
Lushtak 2004   7  0.5249  0.009  0.127  0.4762  0.0511  0.15
Malcuzynski 1961   88  0.1460  0.0086  0.0382  0.0381  0.0367  0.03
Magaloff 1978   42  0.3827  0.0031  0.0632  0.2186  0.0245  0.06
Magin 1975   72  0.2783  0.0070  0.0462  0.0462  0.0452  0.04
Michalowski 1933   85  0.1738  0.0084  0.0288  0.0284  0.0386  0.02
Milkina 1970   26  0.4119  0.0117  0.118  0.4679  0.0412  0.14
Mohovich 1999   22  0.4364  0.0027  0.0627  0.2677  0.0428  0.10
Moravec 1969   41  0.389  0.0247  0.0646  0.0656  0.0547  0.05
Morozova 2008   52  0.3476  0.0067  0.0461  0.0485  0.0374  0.03
Neighaus 1950   59  0.3239  0.0072  0.0465  0.0487  0.0384  0.03
Niedzielski 1931   73  0.2773  0.0069  0.0464  0.0481  0.0366  0.03
Ohlsson 1999   30  0.406  0.0328  0.0733  0.2085  0.0336  0.08
Osinska 1989   29  0.4077  0.0036  0.0531  0.2278  0.0334  0.08
Pachmann 1927   81  0.2475  0.0085  0.0380  0.0377  0.0370  0.03
Paderewski 1930   49  0.3516  0.0123  0.0629  0.2355  0.0427  0.10
Perlemuter 1992   19  0.4471  0.0033  0.0430  0.2276  0.0333  0.08
Pierdomenico 2008   67  0.3020  0.0159  0.0379  0.0372  0.0465  0.03
Poblocka 1999   80  0.2488  0.0074  0.0458  0.0485  0.0362  0.03
Rabcewiczowa 1932   24  0.4250  0.0010  0.1018  0.3876  0.0417  0.12
Rachmaninoff 1923   57  0.3389  0.0066  0.0374  0.0387  0.0364  0.03
Rangell 2001   71  0.2751  0.0045  0.0642  0.1162  0.0443  0.07
Richter 1976   87  0.1490  0.0088  0.0375  0.0383  0.0369  0.03
Rosen 1989   31  0.4018  0.0126  0.0623  0.3076  0.0425  0.11
Rosenthal 1930   78  0.2448  0.0052  0.0457  0.0473  0.0379  0.03
Rosenthal 1931   75  0.2640  0.0046  0.0647  0.0644  0.1532  0.09
Rosenthal 1931b   70  0.2823  0.0042  0.0534  0.1938  0.188  0.18
Rosenthal 1931c   74  0.2724  0.0043  0.0540  0.1243  0.1319  0.12
Rosenthal 1931d   76  0.2556  0.0057  0.0468  0.0444  0.1344  0.07
Rossi 2007   11  0.4915  0.0122  0.0626  0.2742  0.157  0.20
Rubinstein 1939   9  0.5112  0.016  0.1710  0.4338  0.235  0.31
Rubinstein 1952   5  0.521  0.271  0.274  0.5229  0.361  0.43
Rubinstein 1966   2  0.545  0.037  0.175  0.4960  0.069  0.17
Schilhawsky 1960   79  0.2482  0.0078  0.0383  0.0388  0.0373  0.03
Shebanova 2002   47  0.3578  0.0058  0.0369  0.0386  0.0375  0.03
Smith 1975   43  0.3779  0.0035  0.0436  0.1587  0.0340  0.07
Sokolov 2002   54  0.3467  0.0060  0.0370  0.0381  0.0363  0.03
Sztompka 1959   48  0.3534  0.0065  0.0378  0.0374  0.0471  0.03
Tomsic 1995   53  0.3458  0.0044  0.0445  0.1054  0.0735  0.08
Uninsky 1932   68  0.2991  0.0075  0.0549  0.0585  0.0356  0.04
Uninsky 1971   77  0.2428  0.0054  0.0554  0.0587  0.0355  0.04
Wasowski 1980   45  0.3646  0.0063  0.0460  0.0464  0.0550  0.04
Zak 1937   36  0.3944  0.0048  0.0553  0.0585  0.0353  0.04
Zak 1951   33  0.3968  0.0041  0.0539  0.1282  0.0441  0.07
Average   4  0.527  0.035  0.171  0.6271  0.0410  0.16
Random 1   91  -0.0887  0.0091  0.0191  0.0158  0.0388  0.02
Random 2   89  0.0036  0.0089  0.0189  0.0143  0.0877  0.03
Random 3   90  -0.0886  0.0090  0.0190  0.0174  0.0489  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).