Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.537  0.0036  0.0540  0.1441  0.1149  0.12
Anderszewski 2003   50  0.468  0.0029  0.0638  0.1722  0.3230  0.23
Ashkenazy 1981   22  0.569  0.0024  0.0730  0.2845  0.0644  0.13
Bacha 2000   80  0.2910  0.0086  0.0285  0.0255  0.0471  0.03
Badura 1965   61  0.4011  0.0051  0.0648  0.0637  0.1952  0.11
Barbosa 1983   35  0.5312  0.0026  0.0725  0.3314  0.4718  0.39
Biret 1990   39  0.5113  0.0048  0.0654  0.0633  0.2350  0.12
Blet 2003   14  0.5914  0.0019  0.1010  0.469  0.4611  0.46
Block 1995   72  0.3615  0.0068  0.0375  0.0387  0.0288  0.02
Blumental 1952   78  0.3316  0.0060  0.0379  0.0375  0.0385  0.03
Boshniakovich 1969   47  0.4817  0.0059  0.0555  0.0551  0.0560  0.05
Brailowsky 1960   44  0.4818  0.0062  0.0380  0.0354  0.0474  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   57  0.4219  0.0055  0.0557  0.0570  0.0463  0.04
Cohen 1997   86  0.2320  0.0082  0.0384  0.0351  0.0670  0.04
Cortot 1951   56  0.4321  0.0053  0.0653  0.0650  0.0657  0.06
Csalog 1996   85  0.2722  0.0087  0.0377  0.0364  0.0481  0.03
Czerny 1949   32  0.5323  0.0037  0.0533  0.2228  0.3326  0.27
Czerny 1990   17  0.5824  0.0021  0.0820  0.3629  0.2324  0.29
Duchoud 2007   21  0.5625  0.0027  0.0819  0.3720  0.4317  0.40
Ezaki 2006   7  0.642  0.009  0.189  0.4817  0.4212  0.45
Falvay 1989   45  0.4826  0.0056  0.0461  0.0465  0.0464  0.04
Farrell 1958   40  0.5127  0.0054  0.0460  0.0418  0.3647  0.12
Ferenczy 1958   30  0.5328  0.0045  0.0647  0.067  0.4841  0.17
Fliere 1977   13  0.6029  0.0023  0.0724  0.3546  0.0742  0.16
Fou 1978   49  0.473  0.0058  0.0650  0.0647  0.0755  0.06
Francois 1956   23  0.5630  0.0032  0.0831  0.2331  0.2432  0.23
Friedman 1923   81  0.2931  0.0044  0.0644  0.1113  0.4334  0.22
Friedman 1923b   79  0.3132  0.0043  0.0643  0.1213  0.4631  0.23
Friedman 1930   53  0.4433  0.0015  0.1015  0.435  0.579  0.50
Garcia 2007   83  0.2934  0.0072  0.0469  0.0457  0.0568  0.04
Garcia 2007b   84  0.2835  0.0071  0.0464  0.0414  0.4146  0.13
Gierzod 1998   52  0.4536  0.0064  0.0465  0.0467  0.0467  0.04
Gornostaeva 1994   28  0.534  0.0047  0.0649  0.0655  0.0461  0.05
Groot 1988   12  0.6037  0.0012  0.0818  0.4025  0.3121  0.35
Harasiewicz 1955   27  0.5338  0.007  0.1512  0.4614  0.3815  0.42
Hatto 1993   65  0.3939  0.0035  0.0541  0.1423  0.2939  0.20
Hatto 1997   42  0.5040  0.0022  0.0721  0.3614  0.4516  0.40
Horowitz 1949   31  0.5341  0.0042  0.0742  0.1426  0.3136  0.21
Indjic 1988   55  0.4342  0.0030  0.0635  0.1918  0.3627  0.26
Kapell 1951   5  0.6543  0.008  0.216  0.535  0.536  0.53
Kissin 1993   66  0.3944  0.0078  0.0374  0.0360  0.0480  0.03
Kushner 1989   51  0.4645  0.0061  0.0467  0.0460  0.0466  0.04
Luisada 1991   46  0.4846  0.0063  0.0466  0.0466  0.0462  0.04
Lushtak 2004   4  0.655  0.006  0.182  0.611  0.622  0.61
Malcuzynski 1961   6  0.6547  0.0011  0.118  0.5224  0.3613  0.43
Magaloff 1978   19  0.5748  0.0014  0.1016  0.4247  0.0740  0.17
Magin 1975   64  0.3949  0.0069  0.0462  0.0464  0.0465  0.04
Michalowski 1933   68  0.3850  0.0041  0.0737  0.1826  0.3629  0.25
Milkina 1970   75  0.3451  0.0085  0.0383  0.0380  0.0379  0.03
Mohovich 1999   20  0.5652  0.0033  0.0826  0.3339  0.1533  0.22
Moravec 1969   71  0.3753  0.0081  0.0382  0.0374  0.0372  0.03
Morozova 2008   25  0.5454  0.0020  0.0828  0.3037  0.1438  0.20
Neighaus 1950   16  0.5855  0.0025  0.0923  0.3657  0.0545  0.13
Niedzielski 1931   77  0.3356  0.0077  0.0378  0.0367  0.0378  0.03
Ohlsson 1999   26  0.546  0.0046  0.0651  0.0666  0.0459  0.05
Osinska 1989   67  0.3957  0.0075  0.0376  0.0383  0.0373  0.03
Pachmann 1927   36  0.5358  0.0010  0.1114  0.438  0.608  0.51
Paderewski 1930   43  0.4959  0.0034  0.0736  0.1817  0.3428  0.25
Perlemuter 1992   34  0.5360  0.0031  0.0627  0.3230  0.2425  0.28
Pierdomenico 2008   73  0.3561  0.0073  0.0472  0.0475  0.0376  0.03
Poblocka 1999   24  0.5462  0.0039  0.0532  0.2337  0.1737  0.20
Rabcewiczowa 1932   54  0.4463  0.0057  0.0652  0.0635  0.1951  0.11
Rachmaninoff 1923   8  0.6364  0.005  0.134  0.576  0.545  0.55
Rangell 2001   62  0.3965  0.0074  0.0468  0.0475  0.0386  0.03
Richter 1976   41  0.5066  0.0028  0.0729  0.297  0.4220  0.35
Rosen 1989   59  0.4067  0.0070  0.0463  0.0458  0.0469  0.04
Rosenthal 1930   37  0.5268  0.0040  0.0634  0.2112  0.5522  0.34
Rosenthal 1931   70  0.3769  0.0067  0.0459  0.0441  0.1254  0.07
Rosenthal 1931b   69  0.3770  0.0066  0.0558  0.0531  0.2053  0.10
Rosenthal 1931c   48  0.4771  0.0049  0.0746  0.0724  0.3443  0.15
Rosenthal 1931d   60  0.4072  0.0065  0.0373  0.0337  0.1356  0.06
Rossi 2007   87  0.2373  0.0076  0.0381  0.0360  0.0375  0.03
Rubinstein 1939   82  0.2974  0.0084  0.0287  0.0259  0.0477  0.03
Rubinstein 1952   76  0.3475  0.0083  0.0288  0.0271  0.0487  0.03
Rubinstein 1966   63  0.3976  0.0079  0.0471  0.0479  0.0382  0.03
Schilhawsky 1960   9  0.6177  0.004  0.125  0.562  0.624  0.59
Shebanova 2002   74  0.3578  0.0080  0.0470  0.0476  0.0383  0.03
Smith 1975   15  0.5979  0.0013  0.0917  0.4026  0.2823  0.33
Sokolov 2002   2  0.6880  0.003  0.127  0.536  0.507  0.51
Sztompka 1959   11  0.6081  0.0017  0.1013  0.4419  0.4314  0.43
Tomsic 1995   10  0.6082  0.0018  0.1022  0.3616  0.3519  0.35
Uninsky 1932   18  0.5783  0.0016  0.1011  0.469  0.4910  0.47
Uninsky 1971   3  0.6684  0.002  0.243  0.593  0.623  0.60
Wasowski 1980   58  0.4185  0.0052  0.0556  0.0550  0.0658  0.05
Zak 1937   38  0.5186  0.0050  0.0745  0.0734  0.2248  0.12
Zak 1951   33  0.5387  0.0038  0.0739  0.1733  0.2635  0.21
Random 1   89  -0.0388  0.0089  0.0189  0.0146  0.0589  0.02
Random 2   88  -0.0289  0.0088  0.0286  0.0260  0.0484  0.03
Random 3   90  -0.0590  0.0090  0.0190  0.0177  0.0290  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).