Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   77  0.1556  0.0082  0.0286  0.0286  0.0285  0.02
Anderszewski 2003   45  0.3026  0.0035  0.0643  0.1270  0.0345  0.06
Ashkenazy 1981   7  0.515  0.0712  0.089  0.4570  0.0323  0.12
Bacha 2000   4  0.5363  0.0011  0.1510  0.4324  0.316  0.37
Badura 1965   76  0.1750  0.0070  0.0366  0.0378  0.0363  0.03
Barbosa 1983   60  0.2416  0.0143  0.0542  0.1266  0.0439  0.07
Biret 1990   18  0.4238  0.0019  0.1011  0.4361  0.0420  0.13
Blet 2003   68  0.1984  0.0077  0.0283  0.0280  0.0380  0.02
Block 1995   31  0.368  0.049  0.0929  0.2636  0.1712  0.21
Blumental 1952   80  0.1429  0.0080  0.0281  0.0281  0.0287  0.02
Boshniakovich 1969   47  0.2959  0.0040  0.0539  0.1464  0.0346  0.06
Brailowsky 1960   3  0.554  0.083  0.204  0.5218  0.374  0.44
Bunin 1987   65  0.2224  0.0166  0.0453  0.0485  0.0264  0.03
Bunin 1987b   64  0.2223  0.0165  0.0459  0.0485  0.0257  0.03
Chiu 1999   37  0.3411  0.0230  0.0618  0.3567  0.0421  0.12
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   49  0.2960  0.0060  0.0363  0.0374  0.0367  0.03
Csalog 1996   2  0.552  0.152  0.201  0.594  0.551  0.57
Czerny 1949   83  0.0864  0.0078  0.0376  0.0384  0.0284  0.02
Czerny 1990   81  0.1488  0.0081  0.0285  0.0287  0.0288  0.02
Duchoud 2007   54  0.2825  0.0067  0.0457  0.0480  0.0261  0.03
Ezaki 2006   62  0.2448  0.0071  0.0458  0.0477  0.0353  0.03
Falvay 1989   11  0.476  0.067  0.145  0.4963  0.0416  0.14
Farrell 1958   24  0.3943  0.0039  0.0731  0.2469  0.0426  0.10
Ferenczy 1958   30  0.3628  0.0049  0.0549  0.0556  0.0450  0.04
Fliere 1977   35  0.3477  0.0045  0.0644  0.1185  0.0342  0.06
Fou 1978   13  0.4442  0.0027  0.0519  0.3354  0.0519  0.13
Francois 1956   71  0.1940  0.0056  0.0462  0.0485  0.0270  0.03
Friedman 1923   91  -0.2385  0.0091  0.0191  0.0190  0.0191  0.01
Friedman 1923b   90  -0.2374  0.0090  0.0290  0.0289  0.0190  0.01
Friedman 1930   85  0.0369  0.0079  0.0373  0.0387  0.0282  0.02
Garcia 2007   78  0.1536  0.0085  0.0282  0.0277  0.0386  0.02
Garcia 2007b   74  0.1772  0.0062  0.0365  0.0372  0.0371  0.03
Gierzod 1998   10  0.4757  0.0018  0.0917  0.3683  0.0329  0.10
Gornostaeva 1994   57  0.2727  0.0055  0.0460  0.0476  0.0365  0.03
Groot 1988   34  0.3486  0.0050  0.0646  0.0670  0.0352  0.04
Harasiewicz 1955   59  0.2454  0.0048  0.0452  0.0464  0.0368  0.03
Hatto 1993   41  0.3170  0.0029  0.0733  0.2378  0.0241  0.07
Hatto 1997   42  0.3110  0.0221  0.0627  0.2779  0.0240  0.07
Horowitz 1949   66  0.2189  0.0053  0.0455  0.0486  0.0259  0.03
Indjic 1988   43  0.3083  0.0028  0.0532  0.2365  0.0335  0.08
Kapell 1951   33  0.3533  0.0022  0.0638  0.1467  0.0343  0.06
Kissin 1993   27  0.3868  0.0041  0.0836  0.1670  0.0338  0.07
Kushner 1989   36  0.3417  0.0124  0.0541  0.1284  0.0247  0.05
Luisada 1991   48  0.2990  0.0051  0.0548  0.0583  0.0255  0.03
Lushtak 2004   22  0.4145  0.0031  0.0616  0.3784  0.0233  0.09
Malcuzynski 1961   46  0.3034  0.0069  0.0374  0.0387  0.0277  0.02
Magaloff 1978   8  0.4815  0.0113  0.098  0.4580  0.0322  0.12
Magin 1975   69  0.1939  0.0075  0.0280  0.0286  0.0275  0.02
Michalowski 1933   70  0.1918  0.0152  0.0454  0.0471  0.0449  0.04
Milkina 1970   5  0.527  0.056  0.163  0.5332  0.227  0.34
Mohovich 1999   51  0.2878  0.0054  0.0550  0.0574  0.0351  0.04
Moravec 1969   44  0.3041  0.0059  0.0456  0.0478  0.0354  0.03
Morozova 2008   79  0.1461  0.0063  0.0368  0.0381  0.0281  0.02
Neighaus 1950   52  0.2865  0.0064  0.0370  0.0381  0.0366  0.03
Niedzielski 1931   82  0.0951  0.0083  0.0288  0.0275  0.0274  0.02
Ohlsson 1999   23  0.4032  0.0033  0.0623  0.3074  0.0331  0.09
Osinska 1989   20  0.4113  0.0115  0.0915  0.4054  0.0418  0.13
Pachmann 1927   15  0.4322  0.018  0.1012  0.4234  0.228  0.30
Paderewski 1930   16  0.4379  0.0017  0.1126  0.2751  0.0427  0.10
Perlemuter 1992   67  0.2173  0.0074  0.0371  0.0387  0.0272  0.02
Pierdomenico 2008   38  0.3487  0.0034  0.0620  0.3265  0.0325  0.10
Poblocka 1999   9  0.4820  0.0116  0.106  0.4842  0.139  0.25
Rabcewiczowa 1932   75  0.1758  0.0073  0.0378  0.0381  0.0276  0.02
Rachmaninoff 1923   89  -0.1080  0.0088  0.0287  0.0291  0.0189  0.01
Rangell 2001   14  0.449  0.0210  0.1221  0.3250  0.0617  0.14
Richter 1976   19  0.4252  0.0032  0.0622  0.3233  0.1411  0.21
Rosen 1989   12  0.4547  0.0014  0.0924  0.2945  0.1214  0.19
Rosenthal 1930   53  0.2846  0.0058  0.0364  0.0379  0.0362  0.03
Rosenthal 1931   32  0.3544  0.0038  0.0734  0.1953  0.0528  0.10
Rosenthal 1931b   25  0.3853  0.0036  0.0625  0.2856  0.0524  0.12
Rosenthal 1931c   28  0.3730  0.0046  0.0547  0.0581  0.0269  0.03
Rosenthal 1931d   17  0.4275  0.0020  0.0713  0.4133  0.1410  0.24
Rossi 2007   88  -0.0566  0.0087  0.0279  0.0282  0.0273  0.02
Rubinstein 1939   29  0.371  0.171  0.1714  0.406  0.513  0.45
Rubinstein 1952   6  0.5112  0.024  0.222  0.5415  0.492  0.51
Rubinstein 1966   40  0.3381  0.0026  0.0435  0.1642  0.1415  0.15
Schilhawsky 1960   56  0.2776  0.0061  0.0461  0.0472  0.0360  0.03
Shebanova 2002   1  0.583  0.125  0.207  0.4628  0.315  0.38
Smith 1975   26  0.3837  0.0023  0.0630  0.2580  0.0330  0.09
Sokolov 2002   58  0.2631  0.0068  0.0372  0.0381  0.0356  0.03
Sztompka 1959   73  0.1855  0.0076  0.0377  0.0384  0.0278  0.02
Tomsic 1995   39  0.3335  0.0057  0.0367  0.0376  0.0358  0.03
Uninsky 1932   87  -0.0291  0.0089  0.0375  0.0390  0.0183  0.02
Uninsky 1971   72  0.1862  0.0072  0.0369  0.0381  0.0279  0.02
Wasowski 1980   55  0.2714  0.0125  0.0437  0.1555  0.0434  0.08
Zak 1937   61  0.2471  0.0044  0.0640  0.1383  0.0344  0.06
Zak 1951   63  0.2382  0.0047  0.0551  0.0587  0.0348  0.04
Average   21  0.4149  0.0037  0.0628  0.2783  0.0332  0.09
Random 1   84  0.0321  0.0186  0.0284  0.0217  0.3637  0.08
Random 2   86  0.0067  0.0084  0.0289  0.0214  0.3236  0.08
Random 3   50  0.2819  0.0142  0.0645  0.1115  0.3913  0.21

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).