Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.537  0.0037  0.0541  0.1442  0.1150  0.12
Anderszewski 2003   51  0.468  0.0030  0.0639  0.1723  0.3231  0.23
Ashkenazy 1981   23  0.569  0.0025  0.0731  0.2846  0.0645  0.13
Bacha 2000   81  0.2910  0.0087  0.0286  0.0256  0.0472  0.03
Badura 1965   62  0.4011  0.0052  0.0649  0.0638  0.1953  0.11
Barbosa 1983   36  0.5312  0.0027  0.0726  0.3315  0.4719  0.39
Biret 1990   40  0.5113  0.0049  0.0655  0.0634  0.2351  0.12
Blet 2003   15  0.5914  0.0020  0.1011  0.4610  0.4611  0.46
Block 1995   73  0.3615  0.0069  0.0376  0.0388  0.0289  0.02
Blumental 1952   79  0.3316  0.0061  0.0380  0.0376  0.0386  0.03
Boshniakovich 1969   48  0.4817  0.0060  0.0556  0.0552  0.0561  0.05
Brailowsky 1960   45  0.4818  0.0063  0.0381  0.0355  0.0475  0.03
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  1.001  1.001  0.991  1.001  1.001  1.00
Chiu 1999   58  0.4219  0.0056  0.0558  0.0571  0.0464  0.04
Cohen 1997   87  0.2320  0.0083  0.0385  0.0352  0.0571  0.04
Cortot 1951   57  0.4321  0.0054  0.0654  0.0651  0.0658  0.06
Csalog 1996   86  0.2722  0.0088  0.0378  0.0365  0.0482  0.03
Czerny 1949   33  0.5323  0.0038  0.0534  0.2229  0.3327  0.27
Czerny 1990   18  0.5824  0.0022  0.0821  0.3630  0.2325  0.29
Duchoud 2007   22  0.5625  0.0028  0.0820  0.3721  0.4318  0.40
Ezaki 2006   8  0.642  0.0010  0.1710  0.4818  0.4212  0.45
Falvay 1989   46  0.4826  0.0057  0.0462  0.0466  0.0465  0.04
Farrell 1958   41  0.5127  0.0055  0.0461  0.0419  0.3648  0.12
Ferenczy 1958   31  0.5328  0.0046  0.0648  0.067  0.4842  0.17
Fliere 1977   14  0.6029  0.0024  0.0725  0.3547  0.0743  0.16
Fou 1978   50  0.473  0.0059  0.0651  0.0648  0.0756  0.06
Francois 1956   24  0.5630  0.0033  0.0732  0.2332  0.2433  0.23
Friedman 1923   82  0.2931  0.0045  0.0645  0.1114  0.4335  0.22
Friedman 1923b   80  0.3132  0.0044  0.0644  0.1214  0.4632  0.23
Friedman 1930   54  0.4433  0.0016  0.1016  0.436  0.579  0.50
Garcia 2007   84  0.2934  0.0073  0.0470  0.0458  0.0569  0.04
Garcia 2007b   85  0.2835  0.0072  0.0465  0.0415  0.4147  0.13
Gierzod 1998   53  0.4536  0.0065  0.0466  0.0468  0.0468  0.04
Gornostaeva 1994   29  0.534  0.0048  0.0650  0.0656  0.0462  0.05
Groot 1988   13  0.6037  0.0013  0.0819  0.4026  0.3122  0.35
Harasiewicz 1955   28  0.5338  0.008  0.1413  0.4615  0.3816  0.42
Hatto 1993   66  0.3939  0.0036  0.0542  0.1424  0.2940  0.20
Hatto 1997   43  0.5040  0.0023  0.0722  0.3615  0.4517  0.40
Horowitz 1949   32  0.5341  0.0043  0.0643  0.1427  0.3137  0.21
Indjic 1988   56  0.4342  0.0031  0.0636  0.1919  0.3628  0.26
Kapell 1951   6  0.6543  0.009  0.207  0.536  0.536  0.53
Kissin 1993   67  0.3944  0.0079  0.0375  0.0361  0.0481  0.03
Kushner 1989   52  0.4645  0.0062  0.0468  0.0461  0.0467  0.04
Luisada 1991   47  0.4846  0.0064  0.0467  0.0467  0.0463  0.04
Lushtak 2004   5  0.655  0.007  0.183  0.612  0.622  0.61
Malcuzynski 1961   7  0.6547  0.0012  0.119  0.5225  0.3614  0.43
Magaloff 1978   20  0.5748  0.0015  0.1017  0.4248  0.0741  0.17
Magin 1975   65  0.3949  0.0070  0.0463  0.0465  0.0466  0.04
Michalowski 1933   69  0.3850  0.0042  0.0738  0.1827  0.3630  0.25
Milkina 1970   76  0.3451  0.0086  0.0384  0.0381  0.0380  0.03
Mohovich 1999   21  0.5652  0.0034  0.0827  0.3340  0.1534  0.22
Moravec 1969   72  0.3753  0.0082  0.0383  0.0375  0.0373  0.03
Morozova 2008   26  0.5454  0.0021  0.0829  0.3038  0.1439  0.20
Neighaus 1950   17  0.5855  0.0026  0.0924  0.3658  0.0546  0.13
Niedzielski 1931   78  0.3356  0.0078  0.0379  0.0368  0.0379  0.03
Ohlsson 1999   27  0.546  0.0047  0.0652  0.0667  0.0460  0.05
Osinska 1989   68  0.3957  0.0076  0.0377  0.0384  0.0374  0.03
Pachmann 1927   37  0.5358  0.0011  0.1115  0.439  0.608  0.51
Paderewski 1930   44  0.4959  0.0035  0.0637  0.1818  0.3429  0.25
Perlemuter 1992   35  0.5360  0.0032  0.0628  0.3231  0.2426  0.28
Pierdomenico 2008   74  0.3561  0.0074  0.0473  0.0476  0.0377  0.03
Poblocka 1999   25  0.5462  0.0040  0.0533  0.2338  0.1738  0.20
Rabcewiczowa 1932   55  0.4463  0.0058  0.0653  0.0636  0.1952  0.11
Rachmaninoff 1923   9  0.6364  0.006  0.135  0.577  0.545  0.55
Rangell 2001   63  0.3965  0.0075  0.0469  0.0476  0.0387  0.03
Richter 1976   42  0.5066  0.0029  0.0730  0.298  0.4221  0.35
Rosen 1989   60  0.4067  0.0071  0.0464  0.0459  0.0470  0.04
Rosenthal 1930   38  0.5268  0.0041  0.0635  0.2113  0.5523  0.34
Rosenthal 1931   71  0.3769  0.0068  0.0460  0.0442  0.1255  0.07
Rosenthal 1931b   70  0.3770  0.0067  0.0459  0.0432  0.2054  0.09
Rosenthal 1931c   49  0.4771  0.0050  0.0647  0.0625  0.3444  0.14
Rosenthal 1931d   61  0.4072  0.0066  0.0374  0.0338  0.1357  0.06
Rossi 2007   88  0.2373  0.0077  0.0382  0.0361  0.0376  0.03
Rubinstein 1939   83  0.2974  0.0085  0.0288  0.0260  0.0478  0.03
Rubinstein 1952   77  0.3475  0.0084  0.0289  0.0272  0.0488  0.03
Rubinstein 1966   64  0.3976  0.0080  0.0472  0.0480  0.0383  0.03
Schilhawsky 1960   10  0.6177  0.005  0.126  0.563  0.624  0.59
Shebanova 2002   75  0.3578  0.0081  0.0471  0.0477  0.0384  0.03
Smith 1975   16  0.5979  0.0014  0.0918  0.4027  0.2824  0.33
Sokolov 2002   3  0.6880  0.004  0.128  0.537  0.507  0.51
Sztompka 1959   12  0.6081  0.0018  0.1014  0.4420  0.4315  0.43
Tomsic 1995   11  0.6082  0.0019  0.0923  0.3617  0.3520  0.35
Uninsky 1932   19  0.5783  0.0017  0.0912  0.4610  0.4910  0.47
Uninsky 1971   4  0.6684  0.003  0.244  0.594  0.623  0.60
Wasowski 1980   59  0.4185  0.0053  0.0557  0.0551  0.0659  0.05
Zak 1937   39  0.5186  0.0051  0.0746  0.0735  0.2249  0.12
Zak 1951   34  0.5387  0.0039  0.0740  0.1734  0.2636  0.21
Average   2  0.7588  0.002  0.262  0.7027  0.2913  0.45
Random 1   90  -0.0389  0.0090  0.0190  0.0147  0.0590  0.02
Random 2   89  -0.0290  0.0089  0.0287  0.0249  0.0585  0.03
Random 3   91  -0.0591  0.0091  0.0191  0.0178  0.0291  0.01

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).