Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.4734  0.0039  0.0735  0.2454  0.0542  0.11
Anderszewski 2003   81  0.2782  0.0083  0.0385  0.0384  0.0288  0.02
Ashkenazy 1981   17  0.5313  0.0116  0.1216  0.5128  0.3120  0.40
Bacha 2000   32  0.4539  0.0032  0.0930  0.374  0.5817  0.46
Badura 1965   74  0.3270  0.0073  0.0382  0.0364  0.0482  0.03
Barbosa 1983   5  0.5912  0.038  0.155  0.663  0.634  0.64
Biret 1990   22  0.4943  0.0019  0.1617  0.488  0.5612  0.52
Blet 2003   16  0.5337  0.0036  0.1031  0.3335  0.2332  0.28
Block 1995   68  0.3438  0.0075  0.0381  0.0362  0.0483  0.03
Blumental 1952   61  0.3731  0.0045  0.0445  0.0732  0.2141  0.12
Boshniakovich 1969   43  0.4263  0.0051  0.0474  0.0445  0.1154  0.07
Brailowsky 1960   41  0.4383  0.0054  0.0461  0.0431  0.2445  0.10
Bunin 1987   48  0.4230  0.0052  0.0471  0.0458  0.0575  0.04
Bunin 1987b   47  0.4242  0.0050  0.0469  0.0457  0.0568  0.04
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   69  0.3466  0.0070  0.0383  0.0340  0.1457  0.06
Cortot 1951   79  0.2952  0.0086  0.0468  0.0483  0.0385  0.03
Csalog 1996   49  0.4227  0.0037  0.0737  0.2014  0.5028  0.32
Czerny 1949   73  0.3264  0.0079  0.0379  0.0367  0.0380  0.03
Czerny 1990   21  0.5024  0.0024  0.0919  0.4834  0.2129  0.32
Duchoud 2007   18  0.525  0.0511  0.118  0.633  0.626  0.62
Ezaki 2006   44  0.4275  0.0057  0.0556  0.0570  0.0363  0.04
Falvay 1989   14  0.5379  0.0031  0.1322  0.4331  0.2031  0.29
Farrell 1958   29  0.4636  0.0042  0.0641  0.1713  0.4433  0.27
Ferenczy 1958   88  0.1650  0.0088  0.0288  0.0274  0.0389  0.02
Fliere 1977   3  0.629  0.043  0.163  0.698  0.613  0.65
Fou 1978   9  0.5722  0.0013  0.1511  0.5816  0.4513  0.51
Francois 1956   66  0.3576  0.0060  0.0463  0.0462  0.0478  0.04
Friedman 1923   80  0.2935  0.0078  0.0380  0.0327  0.2850  0.09
Friedman 1923b   76  0.3040  0.0077  0.0459  0.0428  0.2747  0.10
Friedman 1930   63  0.3719  0.0166  0.0548  0.0545  0.0856  0.06
Garcia 2007   78  0.2944  0.0076  0.0378  0.0333  0.2053  0.08
Garcia 2007b   67  0.3471  0.0071  0.0384  0.0319  0.3944  0.11
Gierzod 1998   70  0.3468  0.0067  0.0647  0.0672  0.0374  0.04
Gornostaeva 1994   50  0.4148  0.0065  0.0646  0.0651  0.0562  0.05
Groot 1988   27  0.4759  0.0021  0.0823  0.4235  0.2330  0.31
Harasiewicz 1955   25  0.4825  0.0044  0.0744  0.1353  0.0455  0.07
Hatto 1993   39  0.4351  0.0025  0.0729  0.3717  0.3625  0.36
Hatto 1997   57  0.3869  0.0028  0.0834  0.2430  0.2335  0.23
Horowitz 1949   23  0.4911  0.0315  0.1015  0.519  0.4914  0.50
Indjic 1988   53  0.4160  0.0020  0.0928  0.3920  0.3424  0.36
Kapell 1951   59  0.3828  0.0063  0.0457  0.0461  0.0467  0.04
Kissin 1993   24  0.4854  0.0030  0.1020  0.4433  0.2827  0.35
Kushner 1989   20  0.5020  0.0135  0.0833  0.2843  0.1336  0.19
Luisada 1991   13  0.5426  0.0018  0.1514  0.5313  0.4415  0.48
Lushtak 2004   19  0.5218  0.0134  0.0732  0.2959  0.0443  0.11
Malcuzynski 1961   40  0.4353  0.0043  0.0643  0.1568  0.0452  0.08
Magaloff 1978   34  0.4423  0.0017  0.1218  0.4826  0.2526  0.35
Magin 1975   56  0.3977  0.0040  0.0742  0.1543  0.1240  0.13
Michalowski 1933   65  0.3529  0.0055  0.0553  0.0541  0.1749  0.09
Milkina 1970   45  0.4272  0.0026  0.0726  0.4017  0.3723  0.38
Mohovich 1999   28  0.4687  0.0047  0.0470  0.0447  0.0661  0.05
Moravec 1969   58  0.3846  0.0033  0.0838  0.2040  0.1237  0.15
Morozova 2008   6  0.584  0.077  0.127  0.657  0.469  0.55
Neighaus 1950   10  0.558  0.0410  0.179  0.6218  0.4610  0.53
Niedzielski 1931   71  0.3321  0.0046  0.0473  0.0426  0.2048  0.09
Ohlsson 1999   12  0.5510  0.046  0.156  0.656  0.517  0.58
Osinska 1989   42  0.4365  0.0058  0.0554  0.0557  0.0559  0.05
Pachmann 1927   8  0.573  0.075  0.154  0.662  0.701  0.68
Paderewski 1930   75  0.3188  0.0062  0.0465  0.0474  0.0379  0.03
Perlemuter 1992   33  0.4578  0.0059  0.0550  0.0551  0.0558  0.05
Pierdomenico 2008   15  0.5332  0.0029  0.0924  0.416  0.5516  0.47
Poblocka 1999   54  0.4045  0.0038  0.0739  0.1861  0.0451  0.08
Rabcewiczowa 1932   72  0.3349  0.0074  0.0472  0.0467  0.0466  0.04
Rachmaninoff 1923   38  0.4314  0.0123  0.0721  0.4421  0.3818  0.41
Rangell 2001   37  0.4355  0.0027  0.0725  0.4012  0.4319  0.41
Richter 1976   31  0.4615  0.0122  0.0940  0.1844  0.1238  0.15
Rosen 1989   11  0.5516  0.0114  0.1313  0.5411  0.5111  0.52
Rosenthal 1930   86  0.2380  0.0084  0.0386  0.0379  0.0381  0.03
Rosenthal 1931   84  0.2484  0.0085  0.0458  0.0460  0.0472  0.04
Rosenthal 1931b   82  0.2585  0.0081  0.0476  0.0455  0.0577  0.04
Rosenthal 1931c   83  0.2561  0.0082  0.0377  0.0382  0.0386  0.03
Rosenthal 1931d   87  0.2289  0.0080  0.0460  0.0456  0.0476  0.04
Rossi 2007   85  0.2390  0.0087  0.0287  0.0285  0.0287  0.02
Rubinstein 1939   77  0.2917  0.0161  0.0464  0.0411  0.4339  0.13
Rubinstein 1952   51  0.4167  0.0041  0.0836  0.2024  0.3634  0.27
Rubinstein 1966   52  0.4157  0.0056  0.0549  0.0537  0.2146  0.10
Schilhawsky 1960   46  0.4247  0.0053  0.0462  0.0448  0.0660  0.05
Shebanova 2002   1  0.652  0.102  0.242  0.766  0.612  0.68
Smith 1975   35  0.4486  0.0064  0.0555  0.0578  0.0365  0.04
Sokolov 2002   64  0.3673  0.0068  0.0551  0.0567  0.0364  0.04
Sztompka 1959   60  0.3758  0.0072  0.0467  0.0459  0.0570  0.04
Tomsic 1995   55  0.3974  0.0049  0.0475  0.0463  0.0469  0.04
Uninsky 1932   36  0.4462  0.0048  0.0466  0.0476  0.0473  0.04
Uninsky 1971   62  0.3741  0.0069  0.0552  0.0560  0.0471  0.04
Wasowski 1980   30  0.467  0.049  0.1727  0.3914  0.4021  0.39
Zak 1937   4  0.596  0.044  0.1310  0.614  0.635  0.62
Zak 1951   7  0.5733  0.0012  0.1712  0.567  0.578  0.56
Average   2  0.641  0.311  0.311  0.7938  0.1922  0.39
Random 1   89  0.0256  0.0090  0.0190  0.0142  0.0984  0.03
Random 2   91  -0.0381  0.0089  0.0189  0.0157  0.0490  0.02
Random 3   90  0.0091  0.0091  0.0191  0.0164  0.0391  0.02

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).