Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.4219  0.0039  0.0634  0.2388  0.0244  0.07
Anderszewski 2003   22  0.4620  0.0026  0.1324  0.3964  0.0429  0.12
Ashkenazy 1981   15  0.4821  0.0016  0.078  0.5045  0.0711  0.19
Bacha 2000   62  0.3545  0.0063  0.0466  0.0477  0.0367  0.03
Badura 1965   17  0.478  0.005  0.1412  0.4828  0.366  0.42
Barbosa 1983   54  0.3722  0.0056  0.0465  0.0451  0.0648  0.05
Biret 1990   71  0.3423  0.0068  0.0546  0.0575  0.0465  0.04
Blet 2003   66  0.3524  0.0067  0.0548  0.0565  0.0460  0.04
Block 1995   55  0.376  0.0051  0.0558  0.0564  0.0462  0.04
Blumental 1952   68  0.3446  0.0062  0.0460  0.0485  0.0380  0.03
Boshniakovich 1969   7  0.5347  0.007  0.185  0.5441  0.129  0.25
Brailowsky 1960   75  0.3125  0.0080  0.0380  0.0380  0.0469  0.03
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  0.991  1.001  0.991  1.001  1.001  1.00
Chiu 1999   59  0.3526  0.0046  0.0557  0.0559  0.0546  0.05
Cohen 1997   86  0.2127  0.0075  0.0472  0.0485  0.0382  0.03
Cortot 1951   61  0.3548  0.0053  0.0554  0.0578  0.0366  0.04
Csalog 1996   58  0.3549  0.0057  0.0376  0.0368  0.0477  0.03
Czerny 1949   2  0.5828  0.004  0.263  0.5635  0.345  0.44
Czerny 1990   50  0.389  0.0060  0.0468  0.0485  0.0383  0.03
Duchoud 2007   51  0.377  0.0044  0.0644  0.1249  0.0643  0.08
Ezaki 2006   36  0.4350  0.0040  0.0636  0.2174  0.0438  0.09
Falvay 1989   73  0.3329  0.0078  0.0387  0.0386  0.0371  0.03
Farrell 1958   81  0.2851  0.0077  0.0386  0.0386  0.0374  0.03
Ferenczy 1958   29  0.4452  0.0038  0.0641  0.1951  0.0535  0.10
Fliere 1977   12  0.5053  0.0015  0.0813  0.4849  0.0612  0.17
Fou 1978   69  0.3430  0.0071  0.0462  0.0487  0.0375  0.03
Francois 1956   53  0.3754  0.0065  0.0467  0.0480  0.0387  0.03
Friedman 1923   57  0.3655  0.0041  0.0540  0.2052  0.0634  0.11
Friedman 1923b   63  0.3531  0.0042  0.0842  0.1963  0.0537  0.10
Friedman 1930   48  0.383  0.0032  0.0833  0.2845  0.0916  0.16
Garcia 2007   47  0.3810  0.0059  0.0375  0.0374  0.0479  0.03
Garcia 2007b   39  0.4213  0.0043  0.0643  0.1357  0.0445  0.07
Gierzod 1998   16  0.4856  0.0030  0.1528  0.3572  0.0431  0.12
Gornostaeva 1994   35  0.4357  0.0031  0.0832  0.3065  0.0341  0.09
Groot 1988   32  0.4414  0.0011  0.0829  0.3249  0.0623  0.14
Harasiewicz 1955   18  0.4658  0.0023  0.0915  0.4646  0.0614  0.17
Hatto 1993   31  0.4459  0.0028  0.1021  0.4080  0.0333  0.11
Hatto 1997   30  0.4460  0.0029  0.1126  0.3952  0.0618  0.15
Horowitz 1949   4  0.562  0.008  0.184  0.5411  0.513  0.52
Indjic 1988   28  0.4461  0.0027  0.1120  0.4070  0.0428  0.13
Kapell 1951   8  0.5132  0.0021  0.0723  0.4054  0.0520  0.14
Kissin 1993   42  0.4162  0.0048  0.0555  0.0586  0.0276  0.03
Kushner 1989   25  0.4563  0.0035  0.0638  0.2073  0.0342  0.08
Luisada 1991   41  0.4164  0.0049  0.0547  0.0585  0.0351  0.04
Lushtak 2004   23  0.4533  0.0025  0.1031  0.3251  0.0622  0.14
Malcuzynski 1961   20  0.4665  0.0010  0.0716  0.4570  0.0427  0.13
Magaloff 1978   70  0.3466  0.0072  0.0552  0.0579  0.0353  0.04
Magin 1975   19  0.4634  0.0012  0.0818  0.4371  0.0426  0.13
Michalowski 1933   45  0.3967  0.0019  0.0627  0.3731  0.267  0.31
Milkina 1970   44  0.3915  0.0058  0.0377  0.0387  0.0288  0.02
Mohovich 1999   46  0.3968  0.0054  0.0461  0.0487  0.0381  0.03
Moravec 1969   80  0.2916  0.0070  0.0459  0.0486  0.0268  0.03
Morozova 2008   33  0.4369  0.0034  0.0635  0.2361  0.0532  0.11
Neighaus 1950   14  0.4870  0.0022  0.0917  0.4460  0.0519  0.15
Niedzielski 1931   60  0.3571  0.0047  0.0551  0.0560  0.0455  0.04
Ohlsson 1999   24  0.4535  0.0013  0.089  0.4961  0.0515  0.16
Osinska 1989   38  0.4272  0.0050  0.0645  0.0684  0.0352  0.04
Pachmann 1927   49  0.3836  0.0064  0.0373  0.0345  0.0847  0.05
Paderewski 1930   65  0.3537  0.0066  0.0553  0.0559  0.0458  0.04
Perlemuter 1992   27  0.4538  0.0037  0.0639  0.2067  0.0440  0.09
Pierdomenico 2008   82  0.2739  0.0083  0.0385  0.0377  0.0472  0.03
Poblocka 1999   13  0.4873  0.0018  0.0619  0.4165  0.0424  0.13
Rabcewiczowa 1932   52  0.3774  0.0055  0.0464  0.0472  0.0456  0.04
Rachmaninoff 1923   40  0.4240  0.0033  0.0930  0.3257  0.0525  0.13
Rangell 2001   64  0.3575  0.0052  0.0556  0.0579  0.0364  0.04
Richter 1976   5  0.5576  0.003  0.196  0.5316  0.532  0.53
Rosen 1989   72  0.3377  0.0069  0.0550  0.0578  0.0463  0.04
Rosenthal 1930   56  0.3678  0.0061  0.0374  0.0345  0.0661  0.04
Rosenthal 1931   84  0.244  0.0085  0.0381  0.0386  0.0289  0.02
Rosenthal 1931b   83  0.2541  0.0084  0.0378  0.0387  0.0290  0.02
Rosenthal 1931c   77  0.3017  0.0073  0.0470  0.0481  0.0385  0.03
Rosenthal 1931d   85  0.2442  0.0086  0.0469  0.0479  0.0384  0.03
Rossi 2007   87  0.1779  0.0087  0.0384  0.0379  0.0470  0.03
Rubinstein 1939   67  0.3511  0.0076  0.0383  0.0371  0.0473  0.03
Rubinstein 1952   76  0.3180  0.0079  0.0382  0.0378  0.0386  0.03
Rubinstein 1966   79  0.3081  0.0081  0.0379  0.0387  0.0378  0.03
Schilhawsky 1960   3  0.5618  0.002  0.312  0.5826  0.424  0.49
Shebanova 2002   11  0.505  0.0014  0.097  0.5057  0.0517  0.16
Smith 1975   78  0.3082  0.0074  0.0471  0.0460  0.0454  0.04
Sokolov 2002   34  0.4383  0.0017  0.0722  0.4042  0.1010  0.20
Sztompka 1959   43  0.4184  0.0045  0.0549  0.0579  0.0359  0.04
Tomsic 1995   74  0.3285  0.0082  0.0463  0.0469  0.0557  0.04
Uninsky 1932   21  0.4643  0.0024  0.1025  0.3958  0.0430  0.12
Uninsky 1971   6  0.5486  0.006  0.1811  0.4942  0.168  0.28
Wasowski 1980   26  0.4512  0.0036  0.0537  0.2173  0.0439  0.09
Zak 1937   10  0.5044  0.0020  0.0614  0.4669  0.0421  0.14
Zak 1951   9  0.5187  0.009  0.0810  0.4953  0.0613  0.17
Random 1   90  -0.0288  0.0088  0.0288  0.0210  0.4636  0.10
Random 2   89  -0.0189  0.0090  0.0190  0.0123  0.2849  0.05
Random 3   88  -0.0190  0.0089  0.0189  0.0118  0.2950  0.05

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).