Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   84  0.2248  0.0087  0.0380  0.0385  0.0384  0.03
Anderszewski 2003   6  0.5013  0.004  0.154  0.6234  0.334  0.45
Ashkenazy 1981   48  0.3749  0.0056  0.0462  0.0425  0.2937  0.11
Bacha 2000   53  0.3615  0.0051  0.0553  0.0532  0.2834  0.12
Badura 1965   56  0.3510  0.0011  0.1224  0.3125  0.357  0.33
Barbosa 1983   7  0.5016  0.006  0.176  0.5864  0.0619  0.19
Biret 1990   44  0.3850  0.0048  0.0647  0.0668  0.0466  0.05
Blet 2003   51  0.3611  0.0034  0.0636  0.1625  0.2515  0.20
Block 1995   72  0.3012  0.0066  0.0466  0.0472  0.0475  0.04
Blumental 1952   36  0.4025  0.0047  0.0559  0.0555  0.0665  0.05
Boshniakovich 1969   14  0.4617  0.0010  0.1210  0.5244  0.1114  0.24
Brailowsky 1960   65  0.3251  0.0078  0.0648  0.0674  0.0457  0.05
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  0.971  0.991  0.981  1.001  1.001  1.00
Chiu 1999   69  0.3152  0.0063  0.0378  0.0361  0.0569  0.04
Cohen 1997   70  0.316  0.0052  0.0552  0.0528  0.2042  0.10
Cortot 1951   86  0.2153  0.0086  0.0387  0.0374  0.0386  0.03
Csalog 1996   37  0.4054  0.0039  0.0538  0.1468  0.0450  0.07
Czerny 1949   11  0.4735  0.0022  0.0617  0.3657  0.0726  0.16
Czerny 1990   42  0.3955  0.0041  0.0440  0.1164  0.0551  0.07
Duchoud 2007   81  0.2426  0.0054  0.0555  0.0535  0.3729  0.14
Ezaki 2006   12  0.4727  0.0014  0.1211  0.4851  0.0623  0.17
Falvay 1989   10  0.4736  0.009  0.149  0.5741  0.216  0.35
Farrell 1958   66  0.3256  0.0068  0.0467  0.0465  0.0471  0.04
Ferenczy 1958   47  0.3718  0.0059  0.0560  0.0557  0.0664  0.05
Fliere 1977   16  0.4557  0.0015  0.1515  0.4153  0.0528  0.14
Fou 1978   79  0.2437  0.0083  0.0288  0.0288  0.0287  0.02
Francois 1956   73  0.2958  0.0062  0.0472  0.0446  0.0667  0.05
Friedman 1923   85  0.2159  0.0073  0.0374  0.0363  0.0578  0.04
Friedman 1923b   87  0.2060  0.0072  0.0386  0.0361  0.0576  0.04
Friedman 1930   76  0.293  0.0055  0.0746  0.0736  0.2332  0.13
Garcia 2007   57  0.3528  0.0057  0.0461  0.0438  0.2441  0.10
Garcia 2007b   49  0.3761  0.0038  0.0537  0.1449  0.0646  0.09
Gierzod 1998   13  0.4662  0.0036  0.0731  0.2168  0.0444  0.09
Gornostaeva 1994   4  0.5138  0.005  0.165  0.6116  0.492  0.55
Groot 1988   31  0.427  0.0018  0.0720  0.3360  0.0533  0.13
Harasiewicz 1955   54  0.3663  0.0069  0.0470  0.0464  0.0577  0.04
Hatto 1993   18  0.4464  0.0028  0.0718  0.3678  0.0343  0.10
Hatto 1997   32  0.4265  0.0032  0.0827  0.2670  0.0440  0.10
Horowitz 1949   22  0.434  0.0021  0.0635  0.1612  0.4911  0.28
Indjic 1988   23  0.4366  0.0029  0.0919  0.3562  0.0435  0.12
Kapell 1951   15  0.455  0.0024  0.0628  0.2646  0.1025  0.16
Kissin 1993   74  0.2939  0.0082  0.0379  0.0383  0.0383  0.03
Kushner 1989   9  0.4867  0.0013  0.1013  0.4553  0.0624  0.16
Luisada 1991   25  0.4368  0.0042  0.0439  0.1331  0.2818  0.19
Lushtak 2004   29  0.4269  0.0012  0.1112  0.4742  0.1910  0.30
Malcuzynski 1961   3  0.5140  0.003  0.243  0.7026  0.423  0.54
Magaloff 1978   50  0.3770  0.0058  0.0556  0.0556  0.0659  0.05
Magin 1975   26  0.4371  0.0043  0.0441  0.1165  0.0449  0.07
Michalowski 1933   88  0.1372  0.0088  0.0382  0.0381  0.0288  0.02
Milkina 1970   5  0.518  0.007  0.138  0.5750  0.0622  0.18
Mohovich 1999   17  0.4441  0.0016  0.1316  0.3843  0.1117  0.20
Moravec 1969   24  0.4329  0.0035  0.0730  0.2157  0.0636  0.11
Morozova 2008   30  0.4214  0.0030  0.0622  0.3242  0.1120  0.19
Neighaus 1950   64  0.3230  0.0037  0.0642  0.1143  0.1138  0.11
Niedzielski 1931   82  0.2473  0.0076  0.0554  0.0546  0.0948  0.07
Ohlsson 1999   52  0.3619  0.0027  0.0626  0.2838  0.2313  0.25
Osinska 1989   8  0.4831  0.008  0.147  0.5843  0.169  0.30
Pachmann 1927   77  0.2720  0.0061  0.0473  0.0450  0.0662  0.05
Paderewski 1930   80  0.2421  0.0079  0.0384  0.0361  0.0481  0.03
Perlemuter 1992   40  0.3922  0.0025  0.0532  0.1926  0.3512  0.26
Pierdomenico 2008   78  0.2542  0.0080  0.0381  0.0350  0.0570  0.04
Poblocka 1999   45  0.3874  0.0064  0.0464  0.0478  0.0468  0.04
Rabcewiczowa 1932   19  0.4475  0.0023  0.0621  0.3260  0.0530  0.13
Rachmaninoff 1923   67  0.3132  0.0040  0.0443  0.1162  0.0547  0.07
Rangell 2001   34  0.4043  0.0031  0.0633  0.1839  0.2021  0.19
Richter 1976   60  0.3344  0.0070  0.0469  0.0464  0.0472  0.04
Rosen 1989   55  0.3576  0.0049  0.0649  0.0648  0.0655  0.06
Rosenthal 1930   75  0.2977  0.0084  0.0383  0.0371  0.0485  0.03
Rosenthal 1931   63  0.339  0.0074  0.0471  0.0467  0.0473  0.04
Rosenthal 1931b   58  0.3578  0.0067  0.0375  0.0330  0.2645  0.09
Rosenthal 1931c   38  0.4045  0.0044  0.0544  0.1032  0.2427  0.15
Rosenthal 1931d   59  0.3479  0.0071  0.0465  0.0441  0.1452  0.07
Rossi 2007   62  0.3380  0.0075  0.0557  0.0548  0.0658  0.05
Rubinstein 1939   33  0.4233  0.0045  0.0545  0.1066  0.0454  0.06
Rubinstein 1952   35  0.4081  0.0020  0.0834  0.1774  0.0353  0.07
Rubinstein 1966   21  0.4382  0.0019  0.0623  0.3268  0.0531  0.13
Schilhawsky 1960   27  0.4346  0.0026  0.0525  0.3032  0.348  0.32
Shebanova 2002   20  0.432  0.0017  0.0814  0.4127  0.325  0.36
Smith 1975   83  0.2383  0.0085  0.0377  0.0378  0.0380  0.03
Sokolov 2002   61  0.3384  0.0065  0.0376  0.0364  0.0379  0.03
Sztompka 1959   71  0.3034  0.0081  0.0385  0.0383  0.0382  0.03
Tomsic 1995   41  0.3985  0.0053  0.0551  0.0564  0.0561  0.05
Uninsky 1932   68  0.3123  0.0077  0.0468  0.0453  0.0574  0.04
Uninsky 1971   46  0.3786  0.0046  0.0463  0.0455  0.0663  0.05
Wasowski 1980   43  0.3887  0.0060  0.0558  0.0571  0.0556  0.05
Zak 1937   39  0.3947  0.0050  0.0650  0.0658  0.0460  0.05
Zak 1951   28  0.4224  0.0033  0.0729  0.2569  0.0439  0.10
Average   2  0.6088  0.002  0.572  0.8059  0.0516  0.20
Random 1   90  -0.0589  0.0089  0.0189  0.0156  0.0490  0.02
Random 2   89  0.0090  0.0090  0.0190  0.0151  0.0489  0.02
Random 3   91  -0.0691  0.0091  0.0191  0.0166  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).