Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.4161  0.0056  0.0456  0.0474  0.0372  0.03
Anderszewski 2003   41  0.3915  0.0163  0.0553  0.0573  0.0354  0.04
Ashkenazy 1981   25  0.4711  0.0153  0.0459  0.0484  0.0374  0.03
Bacha 2000   2  0.6716  0.018  0.132  0.5132  0.158  0.28
Badura 1965   51  0.3651  0.0076  0.0370  0.0383  0.0284  0.02
Barbosa 1983   8  0.6018  0.0114  0.1013  0.3659  0.0519  0.13
Biret 1990   9  0.5884  0.0020  0.0617  0.3588  0.0329  0.10
Blet 2003   24  0.471  0.211  0.211  0.5325  0.295  0.39
Block 1995   82  0.1172  0.0078  0.0374  0.0384  0.0285  0.02
Blumental 1952   1  0.704  0.095  0.206  0.4729  0.179  0.28
Boshniakovich 1969   74  0.2142  0.0077  0.0371  0.0386  0.0286  0.02
Brailowsky 1960   28  0.4573  0.0046  0.0551  0.0587  0.0259  0.03
Bunin 1987   80  0.1221  0.0185  0.0372  0.0388  0.0287  0.02
Bunin 1987b   83  0.1132  0.0084  0.0286  0.0279  0.0377  0.02
Chiu 1999   5  0.6513  0.0119  0.0732  0.2675  0.0332  0.09
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   63  0.2963  0.0069  0.0373  0.0388  0.0290  0.02
Csalog 1996   44  0.3843  0.006  0.128  0.4522  0.326  0.38
Czerny 1949   73  0.2233  0.0080  0.0465  0.0484  0.0371  0.03
Czerny 1990   26  0.4620  0.0122  0.0623  0.3078  0.0336  0.09
Duchoud 2007   53  0.3514  0.0131  0.0644  0.1068  0.0346  0.05
Ezaki 2006   23  0.4788  0.0054  0.0460  0.0465  0.0448  0.04
Falvay 1989   13  0.553  0.143  0.167  0.4626  0.433  0.44
Farrell 1958   10  0.5775  0.0024  0.0620  0.3170  0.0422  0.11
Ferenczy 1958   27  0.4524  0.0015  0.0721  0.3160  0.0425  0.11
Fliere 1977   47  0.3746  0.0051  0.0647  0.0685  0.0349  0.04
Fou 1978   7  0.6154  0.0010  0.085  0.4873  0.0417  0.14
Francois 1956   31  0.4259  0.0040  0.0635  0.2281  0.0339  0.08
Friedman 1923   54  0.3585  0.0083  0.0368  0.0388  0.0291  0.02
Friedman 1923b   55  0.3581  0.0081  0.0283  0.0288  0.0288  0.02
Friedman 1930   57  0.3387  0.0082  0.0284  0.0288  0.0282  0.02
Garcia 2007   29  0.4428  0.0021  0.0631  0.2682  0.0335  0.09
Garcia 2007b   32  0.4110  0.0217  0.0733  0.2577  0.0431  0.10
Gierzod 1998   59  0.3160  0.0059  0.0458  0.0473  0.0373  0.03
Gornostaeva 1994   65  0.2964  0.0048  0.0746  0.0765  0.0447  0.05
Groot 1988   52  0.3636  0.0047  0.0550  0.0579  0.0357  0.04
Harasiewicz 1955   45  0.3874  0.0075  0.0377  0.0385  0.0376  0.03
Hatto 1993   16  0.5553  0.0027  0.0927  0.2774  0.0430  0.10
Hatto 1997   15  0.5576  0.0028  0.0729  0.2781  0.0427  0.10
Horowitz 1949   85  0.1077  0.0088  0.0285  0.0288  0.0279  0.02
Indjic 1988   17  0.5447  0.0029  0.0730  0.2678  0.0426  0.10
Kapell 1951   66  0.2789  0.0041  0.0741  0.1575  0.0341  0.07
Kissin 1993   61  0.3112  0.0155  0.0464  0.0458  0.0453  0.04
Kushner 1989   38  0.4090  0.0042  0.0840  0.1683  0.0340  0.07
Luisada 1991   18  0.5129  0.0036  0.0536  0.2183  0.0337  0.08
Lushtak 2004   3  0.6638  0.009  0.1310  0.4350  0.0615  0.16
Malcuzynski 1961   89  -0.0269  0.0086  0.0289  0.0288  0.0278  0.02
Magaloff 1978   30  0.4327  0.0039  0.0737  0.2178  0.0433  0.09
Magin 1975   78  0.1782  0.0074  0.0382  0.0374  0.0364  0.03
Michalowski 1933   77  0.1834  0.0071  0.0379  0.0382  0.0367  0.03
Milkina 1970   48  0.3723  0.0143  0.0642  0.1367  0.0442  0.07
Mohovich 1999   21  0.5052  0.0023  0.0618  0.3484  0.0420  0.12
Moravec 1969   35  0.406  0.0330  0.0514  0.3543  0.1311  0.21
Morozova 2008   42  0.3855  0.0058  0.0462  0.0489  0.0269  0.03
Neighaus 1950   60  0.3157  0.0073  0.0381  0.0388  0.0289  0.02
Niedzielski 1931   70  0.2544  0.0061  0.0466  0.0488  0.0263  0.03
Ohlsson 1999   43  0.387  0.0352  0.0454  0.0484  0.0366  0.03
Osinska 1989   37  0.4078  0.0044  0.0543  0.1086  0.0344  0.05
Pachmann 1927   64  0.2948  0.0064  0.0552  0.0587  0.0265  0.03
Paderewski 1930   22  0.4745  0.0013  0.0919  0.3255  0.0423  0.11
Perlemuter 1992   14  0.5570  0.0016  0.0812  0.3883  0.0321  0.11
Pierdomenico 2008   84  0.1035  0.0067  0.0367  0.0384  0.0362  0.03
Poblocka 1999   79  0.1579  0.0062  0.0457  0.0482  0.0360  0.03
Rabcewiczowa 1932   20  0.5165  0.0011  0.0811  0.3955  0.0516  0.14
Rachmaninoff 1923   49  0.3762  0.0066  0.0369  0.0377  0.0361  0.03
Rangell 2001   86  0.0630  0.0065  0.0463  0.0482  0.0375  0.03
Richter 1976   87  0.0280  0.0087  0.0287  0.0286  0.0280  0.02
Rosen 1989   40  0.3925  0.0018  0.0716  0.3583  0.0328  0.10
Rosenthal 1930   76  0.209  0.0233  0.0539  0.1771  0.0343  0.07
Rosenthal 1931   72  0.2349  0.0034  0.0628  0.2739  0.1612  0.21
Rosenthal 1931b   69  0.2526  0.0032  0.0524  0.2933  0.1710  0.22
Rosenthal 1931c   67  0.2617  0.0112  0.0815  0.3525  0.287  0.31
Rosenthal 1931d   71  0.2491  0.0038  0.0634  0.2434  0.1713  0.20
Rossi 2007   12  0.5722  0.0125  0.0725  0.2945  0.1014  0.17
Rubinstein 1939   4  0.655  0.044  0.184  0.499  0.432  0.46
Rubinstein 1952   11  0.572  0.182  0.193  0.5011  0.501  0.50
Rubinstein 1966   6  0.628  0.037  0.139  0.4424  0.364  0.40
Schilhawsky 1960   75  0.2150  0.0079  0.0376  0.0386  0.0281  0.02
Shebanova 2002   58  0.3367  0.0057  0.0461  0.0473  0.0455  0.04
Smith 1975   39  0.3966  0.0035  0.0526  0.2979  0.0334  0.09
Sokolov 2002   46  0.3719  0.0145  0.0545  0.1083  0.0345  0.05
Sztompka 1959   50  0.3658  0.0060  0.0455  0.0475  0.0452  0.04
Tomsic 1995   62  0.3037  0.0037  0.0538  0.1745  0.1018  0.13
Uninsky 1932   68  0.2586  0.0068  0.0375  0.0386  0.0370  0.03
Uninsky 1971   81  0.1139  0.0070  0.0380  0.0382  0.0368  0.03
Wasowski 1980   56  0.3368  0.0072  0.0378  0.0382  0.0358  0.03
Zak 1937   34  0.4183  0.0049  0.0648  0.0678  0.0350  0.04
Zak 1951   36  0.4040  0.0050  0.0549  0.0578  0.0351  0.04
Average   19  0.5156  0.0026  0.0722  0.3065  0.0424  0.11
Random 1   91  -0.2171  0.0091  0.0191  0.0135  0.1556  0.04
Random 2   88  0.0141  0.0090  0.0190  0.0162  0.0383  0.02
Random 3   90  -0.1131  0.0089  0.0288  0.0222  0.3638  0.08

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).