Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   62  0.2847  0.0075  0.0466  0.0460  0.0461  0.04
Anderszewski 2003   39  0.3410  0.0224  0.0540  0.1079  0.0345  0.05
Ashkenazy 1981   10  0.496  0.0420  0.0624  0.2461  0.0425  0.10
Bacha 2000   1  0.604  0.064  0.223  0.5423  0.324  0.42
Badura 1965   65  0.2618  0.0170  0.0383  0.0388  0.0289  0.02
Barbosa 1983   23  0.4275  0.0027  0.0623  0.2568  0.0424  0.10
Biret 1990   7  0.5069  0.0011  0.0813  0.3870  0.0417  0.12
Blet 2003   43  0.3316  0.0134  0.0537  0.1288  0.0246  0.05
Block 1995   72  0.2312  0.0230  0.0538  0.1176  0.0340  0.06
Blumental 1952   24  0.4251  0.0033  0.0536  0.1365  0.0341  0.06
Boshniakovich 1969   69  0.2577  0.0069  0.0469  0.0477  0.0381  0.03
Brailowsky 1960   8  0.5052  0.007  0.118  0.4458  0.059  0.15
Bunin 1987   78  0.1727  0.0083  0.0465  0.0483  0.0382  0.03
Bunin 1987b   80  0.1661  0.0082  0.0288  0.0283  0.0385  0.02
Chiu 1999   9  0.4913  0.0121  0.0617  0.3172  0.0322  0.10
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   61  0.2960  0.0072  0.0471  0.0473  0.0464  0.04
Csalog 1996   13  0.475  0.053  0.242  0.5612  0.452  0.50
Czerny 1949   82  0.1586  0.0084  0.0468  0.0478  0.0460  0.04
Czerny 1990   56  0.3062  0.0062  0.0470  0.0464  0.0463  0.04
Duchoud 2007   49  0.3234  0.0065  0.0378  0.0373  0.0378  0.03
Ezaki 2006   36  0.3643  0.0059  0.0464  0.0464  0.0450  0.04
Falvay 1989   5  0.513  0.155  0.236  0.4939  0.245  0.34
Farrell 1958   11  0.4850  0.0019  0.0616  0.3178  0.0323  0.10
Ferenczy 1958   26  0.4019  0.0126  0.0527  0.2139  0.1110  0.15
Fliere 1977   35  0.3637  0.0045  0.0441  0.0882  0.0343  0.05
Fou 1978   4  0.5341  0.0012  0.104  0.5177  0.0411  0.14
Francois 1956   54  0.3115  0.0142  0.0446  0.0778  0.0349  0.05
Friedman 1923   89  0.0689  0.0091  0.0191  0.0191  0.0191  0.01
Friedman 1923b   88  0.0691  0.0090  0.0289  0.0291  0.0190  0.01
Friedman 1930   76  0.1882  0.0081  0.0287  0.0287  0.0287  0.02
Garcia 2007   57  0.3055  0.0068  0.0376  0.0377  0.0379  0.03
Garcia 2007b   59  0.2939  0.0055  0.0650  0.0679  0.0365  0.04
Gierzod 1998   29  0.3926  0.0035  0.0534  0.1486  0.0339  0.06
Gornostaeva 1994   63  0.2863  0.0056  0.0458  0.0461  0.0462  0.04
Groot 1988   37  0.3568  0.0043  0.0445  0.0758  0.0448  0.05
Harasiewicz 1955   53  0.3124  0.0161  0.0463  0.0476  0.0384  0.03
Hatto 1993   19  0.4357  0.0038  0.0632  0.1585  0.0338  0.07
Hatto 1997   20  0.4323  0.0137  0.0529  0.2062  0.0428  0.09
Horowitz 1949   81  0.1588  0.0080  0.0286  0.0271  0.0386  0.02
Indjic 1988   22  0.4287  0.0039  0.0635  0.1367  0.0436  0.07
Kapell 1951   52  0.3190  0.0036  0.0633  0.1584  0.0335  0.07
Kissin 1993   40  0.3474  0.0049  0.0553  0.0561  0.0458  0.04
Kushner 1989   33  0.3722  0.0131  0.0531  0.1787  0.0334  0.07
Luisada 1991   27  0.4053  0.0044  0.0443  0.0882  0.0342  0.05
Lushtak 2004   3  0.5348  0.008  0.099  0.4173  0.0320  0.11
Malcuzynski 1961   84  0.1454  0.0085  0.0379  0.0387  0.0373  0.03
Magaloff 1978   15  0.4646  0.0015  0.0810  0.3970  0.0415  0.12
Magin 1975   77  0.1821  0.0177  0.0457  0.0469  0.0372  0.03
Michalowski 1933   75  0.1820  0.0174  0.0460  0.0483  0.0375  0.03
Milkina 1970   18  0.458  0.039  0.087  0.4845  0.098  0.21
Mohovich 1999   30  0.3972  0.0040  0.0539  0.1169  0.0437  0.07
Moravec 1969   38  0.3525  0.0148  0.0552  0.0565  0.0351  0.04
Morozova 2008   66  0.2667  0.0063  0.0380  0.0361  0.0477  0.03
Neighaus 1950   58  0.3079  0.0066  0.0382  0.0376  0.0483  0.03
Niedzielski 1931   79  0.1744  0.0067  0.0373  0.0356  0.0471  0.03
Ohlsson 1999   28  0.3914  0.0146  0.0459  0.0460  0.0457  0.04
Osinska 1989   25  0.4158  0.0017  0.0618  0.3177  0.0321  0.10
Pachmann 1927   34  0.3630  0.0029  0.0628  0.2143  0.1012  0.14
Paderewski 1930   17  0.4571  0.0010  0.0712  0.3865  0.0318  0.11
Perlemuter 1992   32  0.3883  0.0050  0.0551  0.0588  0.0266  0.03
Pierdomenico 2008   73  0.2280  0.0064  0.0472  0.0487  0.0270  0.03
Poblocka 1999   46  0.3242  0.0032  0.0530  0.1870  0.0432  0.08
Rabcewiczowa 1932   41  0.3438  0.0047  0.0648  0.0681  0.0353  0.04
Rachmaninoff 1923   85  0.1365  0.0086  0.0374  0.0383  0.0369  0.03
Rangell 2001   68  0.2540  0.0041  0.0442  0.0873  0.0347  0.05
Richter 1976   74  0.2229  0.0060  0.0456  0.0479  0.0374  0.03
Rosen 1989   21  0.4211  0.0214  0.0919  0.3076  0.0330  0.09
Rosenthal 1930   70  0.2456  0.0054  0.0649  0.0683  0.0280  0.03
Rosenthal 1931   60  0.2935  0.0025  0.0625  0.2372  0.0333  0.08
Rosenthal 1931b   47  0.3231  0.0018  0.0522  0.2645  0.0814  0.14
Rosenthal 1931c   50  0.3184  0.0028  0.0526  0.2351  0.0426  0.10
Rosenthal 1931d   42  0.3366  0.0016  0.0920  0.3032  0.187  0.23
Rossi 2007   67  0.2581  0.0071  0.0377  0.0381  0.0368  0.03
Rubinstein 1939   6  0.511  0.191  0.195  0.496  0.463  0.47
Rubinstein 1952   2  0.542  0.172  0.271  0.5816  0.511  0.54
Rubinstein 1966   12  0.4817  0.016  0.1311  0.3837  0.236  0.30
Schilhawsky 1960   71  0.2459  0.0076  0.0554  0.0586  0.0359  0.04
Shebanova 2002   16  0.457  0.0313  0.0915  0.3247  0.0613  0.14
Smith 1975   31  0.3945  0.0023  0.0621  0.3084  0.0327  0.09
Sokolov 2002   48  0.3236  0.0058  0.0375  0.0379  0.0367  0.03
Sztompka 1959   64  0.2785  0.0078  0.0455  0.0478  0.0456  0.04
Tomsic 1995   45  0.3273  0.0051  0.0461  0.0454  0.0555  0.04
Uninsky 1932   86  0.1178  0.0079  0.0381  0.0388  0.0288  0.02
Uninsky 1971   83  0.159  0.0273  0.0462  0.0482  0.0376  0.03
Wasowski 1980   55  0.3032  0.0057  0.0467  0.0468  0.0452  0.04
Zak 1937   44  0.3376  0.0052  0.0647  0.0680  0.0354  0.04
Zak 1951   51  0.3170  0.0053  0.0844  0.0881  0.0344  0.05
Average   14  0.4628  0.0022  0.0614  0.3361  0.0419  0.11
Random 1   91  -0.0864  0.0089  0.0290  0.0216  0.3731  0.09
Random 2   90  0.0049  0.0088  0.0385  0.0315  0.2729  0.09
Random 3   87  0.0833  0.0087  0.0384  0.0310  0.4516  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).