Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.4160  0.0055  0.0455  0.0473  0.0456  0.04
Anderszewski 2003   40  0.3915  0.0162  0.0552  0.0572  0.0354  0.04
Ashkenazy 1981   24  0.4711  0.0152  0.0458  0.0483  0.0374  0.03
Bacha 2000   2  0.6716  0.018  0.132  0.5131  0.158  0.28
Badura 1965   50  0.3652  0.0075  0.0369  0.0382  0.0373  0.03
Barbosa 1983   8  0.6018  0.0114  0.1013  0.3658  0.0519  0.13
Biret 1990   9  0.5883  0.0020  0.0617  0.3587  0.0328  0.10
Blet 2003   23  0.471  0.211  0.211  0.5324  0.295  0.39
Block 1995   81  0.1171  0.0077  0.0373  0.0383  0.0285  0.02
Blumental 1952   1  0.704  0.095  0.206  0.4728  0.179  0.28
Boshniakovich 1969   73  0.2142  0.0076  0.0370  0.0385  0.0286  0.02
Brailowsky 1960   27  0.4572  0.0045  0.0550  0.0586  0.0260  0.03
Bunin 1987   79  0.1221  0.0184  0.0371  0.0387  0.0287  0.02
Bunin 1987b   82  0.1133  0.0083  0.0285  0.0278  0.0378  0.02
Chiu 1999   5  0.6513  0.0119  0.0731  0.2674  0.0331  0.09
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   62  0.2962  0.0068  0.0372  0.0387  0.0290  0.02
Csalog 1996   43  0.3843  0.006  0.128  0.4521  0.326  0.38
Czerny 1949   72  0.2231  0.0079  0.0464  0.0483  0.0371  0.03
Czerny 1990   25  0.4620  0.0122  0.0622  0.3077  0.0335  0.09
Duchoud 2007   52  0.3514  0.0130  0.0643  0.1067  0.0345  0.05
Ezaki 2006   22  0.4787  0.0053  0.0459  0.0464  0.0447  0.04
Falvay 1989   13  0.553  0.143  0.167  0.4626  0.433  0.44
Farrell 1958   10  0.5775  0.0024  0.0720  0.3169  0.0423  0.11
Ferenczy 1958   26  0.4524  0.0115  0.0721  0.3159  0.0520  0.12
Fliere 1977   46  0.3744  0.0050  0.0646  0.0684  0.0348  0.04
Fou 1978   7  0.6155  0.0010  0.085  0.4872  0.0417  0.14
Francois 1956   30  0.4258  0.0039  0.0634  0.2280  0.0339  0.08
Friedman 1923   53  0.3584  0.0082  0.0467  0.0487  0.0277  0.03
Friedman 1923b   54  0.3580  0.0080  0.0282  0.0287  0.0288  0.02
Friedman 1930   56  0.3386  0.0081  0.0283  0.0287  0.0283  0.02
Garcia 2007   28  0.4428  0.0021  0.0630  0.2681  0.0334  0.09
Garcia 2007b   31  0.4110  0.0217  0.0732  0.2576  0.0430  0.10
Gierzod 1998   58  0.3159  0.0058  0.0457  0.0472  0.0372  0.03
Gornostaeva 1994   64  0.2963  0.0047  0.0745  0.0764  0.0446  0.05
Groot 1988   51  0.3636  0.0046  0.0549  0.0578  0.0358  0.04
Harasiewicz 1955   44  0.3873  0.0074  0.0376  0.0384  0.0376  0.03
Hatto 1993   16  0.5551  0.0025  0.0826  0.2773  0.0429  0.10
Hatto 1997   15  0.5576  0.0027  0.0728  0.2780  0.0426  0.10
Horowitz 1949   84  0.1077  0.0087  0.0284  0.0287  0.0280  0.02
Indjic 1988   17  0.5447  0.0028  0.0729  0.2677  0.0425  0.10
Kapell 1951   65  0.2788  0.0040  0.0840  0.1574  0.0437  0.08
Kissin 1993   60  0.3112  0.0154  0.0463  0.0457  0.0453  0.04
Kushner 1989   37  0.4089  0.0041  0.0839  0.1682  0.0340  0.07
Luisada 1991   18  0.5129  0.0035  0.0535  0.2182  0.0336  0.08
Lushtak 2004   3  0.6638  0.009  0.1310  0.4349  0.0615  0.16
Malcuzynski 1961   88  -0.0268  0.0085  0.0288  0.0287  0.0279  0.02
Magaloff 1978   29  0.4327  0.0038  0.0836  0.2177  0.0432  0.09
Magin 1975   77  0.1781  0.0073  0.0381  0.0373  0.0365  0.03
Michalowski 1933   76  0.1834  0.0070  0.0378  0.0381  0.0367  0.03
Milkina 1970   47  0.3723  0.0142  0.0641  0.1366  0.0441  0.07
Mohovich 1999   20  0.5053  0.0023  0.0618  0.3483  0.0421  0.12
Moravec 1969   34  0.406  0.0329  0.0514  0.3542  0.1311  0.21
Morozova 2008   41  0.3854  0.0057  0.0461  0.0488  0.0269  0.03
Neighaus 1950   59  0.3156  0.0072  0.0380  0.0387  0.0289  0.02
Niedzielski 1931   69  0.2546  0.0060  0.0465  0.0487  0.0264  0.03
Ohlsson 1999   42  0.387  0.0351  0.0553  0.0583  0.0352  0.04
Osinska 1989   36  0.4078  0.0043  0.0542  0.1085  0.0343  0.05
Pachmann 1927   63  0.2948  0.0063  0.0551  0.0586  0.0266  0.03
Paderewski 1930   21  0.4745  0.0013  0.0919  0.3254  0.0424  0.11
Perlemuter 1992   14  0.5569  0.0016  0.0812  0.3882  0.0322  0.11
Pierdomenico 2008   83  0.1035  0.0066  0.0466  0.0483  0.0363  0.03
Poblocka 1999   78  0.1579  0.0061  0.0456  0.0481  0.0361  0.03
Rabcewiczowa 1932   19  0.5164  0.0011  0.0811  0.3954  0.0516  0.14
Rachmaninoff 1923   48  0.3761  0.0065  0.0368  0.0376  0.0362  0.03
Rangell 2001   85  0.0630  0.0064  0.0462  0.0481  0.0375  0.03
Richter 1976   86  0.0274  0.0086  0.0286  0.0285  0.0281  0.02
Rosen 1989   39  0.3926  0.0018  0.0716  0.3582  0.0327  0.10
Rosenthal 1930   75  0.209  0.0232  0.0538  0.1770  0.0342  0.07
Rosenthal 1931   71  0.2349  0.0033  0.0627  0.2738  0.1612  0.21
Rosenthal 1931b   68  0.2525  0.0031  0.0523  0.2932  0.1710  0.22
Rosenthal 1931c   66  0.2617  0.0112  0.0815  0.3524  0.287  0.31
Rosenthal 1931d   70  0.2490  0.0037  0.0633  0.2433  0.1713  0.20
Rossi 2007   12  0.5722  0.0126  0.0724  0.2944  0.1014  0.17
Rubinstein 1939   4  0.655  0.044  0.184  0.498  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  0.4423  0.364  0.40
Schilhawsky 1960   74  0.2150  0.0078  0.0375  0.0385  0.0282  0.02
Shebanova 2002   57  0.3366  0.0056  0.0460  0.0472  0.0455  0.04
Smith 1975   38  0.3965  0.0034  0.0525  0.2978  0.0333  0.09
Sokolov 2002   45  0.3719  0.0144  0.0544  0.1082  0.0344  0.05
Sztompka 1959   49  0.3657  0.0059  0.0454  0.0474  0.0451  0.04
Tomsic 1995   61  0.3037  0.0036  0.0537  0.1744  0.1018  0.13
Uninsky 1932   67  0.2585  0.0067  0.0374  0.0385  0.0370  0.03
Uninsky 1971   80  0.1139  0.0069  0.0379  0.0381  0.0368  0.03
Wasowski 1980   55  0.3367  0.0071  0.0377  0.0381  0.0359  0.03
Zak 1937   33  0.4182  0.0048  0.0647  0.0677  0.0349  0.04
Zak 1951   35  0.4040  0.0049  0.0548  0.0577  0.0350  0.04
Random 1   90  -0.2170  0.0090  0.0190  0.0135  0.1557  0.04
Random 2   87  0.0141  0.0089  0.0189  0.0164  0.0384  0.02
Random 3   89  -0.1132  0.0088  0.0287  0.0220  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).