Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.2844  0.0074  0.0465  0.0459  0.0460  0.04
Anderszewski 2003   38  0.3410  0.0223  0.0539  0.1078  0.0344  0.05
Ashkenazy 1981   10  0.496  0.0418  0.0623  0.2460  0.0425  0.10
Bacha 2000   1  0.604  0.064  0.223  0.5422  0.324  0.42
Badura 1965   64  0.2618  0.0169  0.0382  0.0387  0.0288  0.02
Barbosa 1983   22  0.4272  0.0026  0.0622  0.2567  0.0424  0.10
Biret 1990   7  0.5069  0.0011  0.0813  0.3869  0.0417  0.12
Blet 2003   42  0.3316  0.0133  0.0536  0.1287  0.0245  0.05
Block 1995   71  0.2312  0.0229  0.0537  0.1175  0.0339  0.06
Blumental 1952   23  0.4250  0.0032  0.0535  0.1364  0.0340  0.06
Boshniakovich 1969   68  0.2576  0.0068  0.0468  0.0476  0.0380  0.03
Brailowsky 1960   8  0.5051  0.007  0.118  0.4457  0.059  0.15
Bunin 1987   77  0.1727  0.0082  0.0464  0.0482  0.0381  0.03
Bunin 1987b   79  0.1662  0.0081  0.0287  0.0282  0.0384  0.02
Chiu 1999   9  0.4913  0.0121  0.0716  0.3171  0.0323  0.10
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   60  0.2961  0.0071  0.0470  0.0472  0.0463  0.04
Csalog 1996   13  0.475  0.053  0.242  0.5612  0.452  0.50
Czerny 1949   81  0.1585  0.0083  0.0467  0.0477  0.0459  0.04
Czerny 1990   55  0.3058  0.0061  0.0469  0.0463  0.0462  0.04
Duchoud 2007   48  0.3233  0.0064  0.0377  0.0372  0.0477  0.03
Ezaki 2006   35  0.3642  0.0058  0.0463  0.0463  0.0449  0.04
Falvay 1989   5  0.513  0.155  0.236  0.4938  0.245  0.34
Farrell 1958   11  0.4849  0.0019  0.0615  0.3177  0.0418  0.11
Ferenczy 1958   25  0.4019  0.0125  0.0526  0.2138  0.1110  0.15
Fliere 1977   34  0.3636  0.0044  0.0440  0.0881  0.0342  0.05
Fou 1978   4  0.5340  0.0012  0.104  0.5176  0.0411  0.14
Francois 1956   53  0.3115  0.0141  0.0445  0.0777  0.0348  0.05
Friedman 1923   88  0.0688  0.0090  0.0190  0.0190  0.0190  0.01
Friedman 1923b   87  0.0690  0.0089  0.0288  0.0290  0.0189  0.01
Friedman 1930   75  0.1881  0.0080  0.0286  0.0286  0.0286  0.02
Garcia 2007   56  0.3055  0.0067  0.0375  0.0376  0.0378  0.03
Garcia 2007b   58  0.2938  0.0054  0.0649  0.0678  0.0364  0.04
Gierzod 1998   28  0.3926  0.0034  0.0633  0.1485  0.0338  0.06
Gornostaeva 1994   62  0.2863  0.0055  0.0457  0.0460  0.0461  0.04
Groot 1988   36  0.3568  0.0042  0.0444  0.0757  0.0447  0.05
Harasiewicz 1955   52  0.3124  0.0160  0.0462  0.0475  0.0383  0.03
Hatto 1993   18  0.4356  0.0037  0.0631  0.1584  0.0337  0.07
Hatto 1997   19  0.4323  0.0136  0.0628  0.2061  0.0427  0.09
Horowitz 1949   80  0.1587  0.0079  0.0285  0.0270  0.0385  0.02
Indjic 1988   21  0.4286  0.0038  0.0634  0.1366  0.0435  0.07
Kapell 1951   51  0.3189  0.0035  0.0632  0.1583  0.0334  0.07
Kissin 1993   39  0.3474  0.0048  0.0552  0.0560  0.0457  0.04
Kushner 1989   32  0.3722  0.0130  0.0530  0.1786  0.0333  0.07
Luisada 1991   26  0.4052  0.0043  0.0442  0.0881  0.0341  0.05
Lushtak 2004   3  0.5348  0.008  0.099  0.4172  0.0320  0.11
Malcuzynski 1961   83  0.1454  0.0084  0.0378  0.0386  0.0372  0.03
Magaloff 1978   14  0.4646  0.0015  0.0910  0.3969  0.0415  0.12
Magin 1975   76  0.1821  0.0176  0.0456  0.0468  0.0371  0.03
Michalowski 1933   74  0.1820  0.0173  0.0459  0.0482  0.0374  0.03
Milkina 1970   17  0.458  0.039  0.097  0.4844  0.098  0.21
Mohovich 1999   29  0.3964  0.0039  0.0538  0.1168  0.0436  0.07
Moravec 1969   37  0.3525  0.0147  0.0551  0.0564  0.0450  0.04
Morozova 2008   65  0.2667  0.0062  0.0379  0.0360  0.0476  0.03
Neighaus 1950   57  0.3078  0.0065  0.0381  0.0375  0.0482  0.03
Niedzielski 1931   78  0.1743  0.0066  0.0372  0.0355  0.0470  0.03
Ohlsson 1999   27  0.3914  0.0145  0.0458  0.0459  0.0456  0.04
Osinska 1989   24  0.4159  0.0017  0.0617  0.3176  0.0322  0.10
Pachmann 1927   33  0.3629  0.0028  0.0627  0.2142  0.1012  0.14
Paderewski 1930   16  0.4571  0.0010  0.0712  0.3864  0.0319  0.11
Perlemuter 1992   31  0.3882  0.0049  0.0550  0.0587  0.0265  0.03
Pierdomenico 2008   72  0.2279  0.0063  0.0471  0.0486  0.0269  0.03
Poblocka 1999   45  0.3241  0.0031  0.0529  0.1869  0.0430  0.08
Rabcewiczowa 1932   40  0.3437  0.0046  0.0647  0.0680  0.0352  0.04
Rachmaninoff 1923   84  0.1353  0.0085  0.0373  0.0382  0.0368  0.03
Rangell 2001   67  0.2539  0.0040  0.0441  0.0872  0.0346  0.05
Richter 1976   73  0.2228  0.0059  0.0455  0.0478  0.0373  0.03
Rosen 1989   20  0.4211  0.0214  0.0918  0.3075  0.0329  0.09
Rosenthal 1930   69  0.2457  0.0053  0.0648  0.0682  0.0279  0.03
Rosenthal 1931   59  0.2934  0.0024  0.0624  0.2371  0.0331  0.08
Rosenthal 1931b   46  0.3230  0.0020  0.0721  0.2644  0.0814  0.14
Rosenthal 1931c   49  0.3183  0.0027  0.0525  0.2350  0.0521  0.11
Rosenthal 1931d   41  0.3366  0.0016  0.0919  0.3031  0.187  0.23
Rossi 2007   66  0.2580  0.0070  0.0376  0.0380  0.0367  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  0.5815  0.511  0.54
Rubinstein 1966   12  0.4817  0.016  0.1311  0.3836  0.236  0.30
Schilhawsky 1960   70  0.2460  0.0075  0.0553  0.0585  0.0358  0.04
Shebanova 2002   15  0.457  0.0313  0.1014  0.3246  0.0613  0.14
Smith 1975   30  0.3945  0.0022  0.0620  0.3083  0.0326  0.09
Sokolov 2002   47  0.3235  0.0057  0.0374  0.0378  0.0366  0.03
Sztompka 1959   63  0.2784  0.0077  0.0554  0.0577  0.0455  0.04
Tomsic 1995   44  0.3273  0.0050  0.0460  0.0453  0.0554  0.04
Uninsky 1932   85  0.1177  0.0078  0.0380  0.0387  0.0287  0.02
Uninsky 1971   82  0.159  0.0272  0.0461  0.0481  0.0375  0.03
Wasowski 1980   54  0.3031  0.0056  0.0466  0.0467  0.0451  0.04
Zak 1937   43  0.3375  0.0051  0.0646  0.0679  0.0353  0.04
Zak 1951   50  0.3170  0.0052  0.0843  0.0880  0.0343  0.05
Random 1   90  -0.0865  0.0088  0.0289  0.0216  0.3632  0.08
Random 2   89  0.0047  0.0087  0.0384  0.0315  0.2628  0.09
Random 3   86  0.0832  0.0086  0.0383  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).