Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.7411  0.0315  0.0914  0.379  0.4015  0.38
Anderszewski 2003   59  0.5522  0.0157  0.0364  0.0362  0.0377  0.03
Ashkenazy 1981   63  0.5459  0.0059  0.0363  0.0352  0.0481  0.03
Bacha 2000   66  0.5348  0.0076  0.0285  0.0251  0.0573  0.03
Badura 1965   62  0.5460  0.0043  0.0543  0.1024  0.3237  0.18
Barbosa 1983   69  0.5256  0.0050  0.0547  0.0550  0.0561  0.05
Biret 1990   21  0.7112  0.0227  0.0534  0.1945  0.1142  0.14
Blet 2003   33  0.6421  0.0142  0.0642  0.1339  0.1443  0.13
Block 1995   24  0.6923  0.0122  0.0627  0.255  0.4023  0.32
Blumental 1952   81  0.2745  0.0082  0.0373  0.0370  0.0380  0.03
Boshniakovich 1969   17  0.734  0.089  0.1411  0.395  0.537  0.45
Brailowsky 1960   32  0.6657  0.0045  0.0445  0.0836  0.1545  0.11
Bunin 1987   44  0.6190  0.0055  0.0546  0.0552  0.0562  0.05
Bunin 1987b   43  0.6187  0.0054  0.0369  0.0352  0.0565  0.04
Chiu 1999   74  0.4772  0.0064  0.0462  0.0447  0.0658  0.05
Cohen 1997   83  0.2716  0.0275  0.0376  0.0360  0.0482  0.03
Cortot 1951   64  0.5458  0.0072  0.0456  0.0462  0.0472  0.04
Csalog 1996   76  0.4373  0.0088  0.0286  0.0271  0.0386  0.02
Czerny 1949   16  0.735  0.075  0.1012  0.3921  0.3714  0.38
Czerny 1990   12  0.7751  0.0016  0.0817  0.3625  0.2725  0.31
Duchoud 2007   37  0.6368  0.0046  0.0455  0.0447  0.0570  0.04
Ezaki 2006   7  0.8019  0.0112  0.125  0.5114  0.406  0.45
Falvay 1989   29  0.6829  0.0033  0.0537  0.1834  0.1638  0.17
Farrell 1958   31  0.6620  0.0125  0.0633  0.1921  0.2333  0.21
Ferenczy 1958   72  0.4935  0.0084  0.0282  0.0269  0.0388  0.02
Fliere 1977   4  0.838  0.048  0.118  0.4612  0.408  0.43
Fou 1978   41  0.6224  0.0017  0.0818  0.3619  0.3917  0.37
Francois 1956   13  0.773  0.094  0.147  0.4610  0.465  0.46
Friedman 1923   88  0.1675  0.0080  0.0283  0.0225  0.3349  0.08
Friedman 1923b   87  0.1684  0.0081  0.0365  0.0326  0.3046  0.09
Friedman 1930   77  0.4142  0.0047  0.0452  0.0417  0.3944  0.12
Garcia 2007   78  0.3680  0.0079  0.0378  0.0376  0.0379  0.03
Garcia 2007b   84  0.2685  0.0078  0.0287  0.0225  0.1956  0.06
Gierzod 1998   22  0.7036  0.0041  0.0741  0.1653  0.0448  0.08
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   9  0.7830  0.0013  0.1215  0.3613  0.4213  0.39
Harasiewicz 1955   57  0.5646  0.0020  0.0624  0.2830  0.2429  0.26
Hatto 1993   86  0.2177  0.0085  0.0377  0.0384  0.0290  0.02
Hatto 1997   80  0.2966  0.0083  0.0280  0.0257  0.0387  0.02
Horowitz 1949   58  0.5538  0.0071  0.0548  0.0546  0.0660  0.05
Indjic 1988   85  0.2278  0.0086  0.0375  0.0382  0.0285  0.02
Kapell 1951   48  0.6069  0.0058  0.0372  0.0377  0.0375  0.03
Kissin 1993   28  0.6839  0.0019  0.0721  0.3119  0.3820  0.34
Kushner 1989   2  0.8428  0.0010  0.1010  0.399  0.4310  0.41
Luisada 1991   35  0.6443  0.0053  0.0549  0.0553  0.0557  0.05
Lushtak 2004   70  0.5147  0.0056  0.0459  0.0462  0.0471  0.04
Malcuzynski 1961   1  0.841  0.191  0.192  0.596  0.562  0.57
Magaloff 1978   6  0.807  0.057  0.099  0.4417  0.419  0.42
Magin 1975   42  0.6270  0.0038  0.0640  0.1630  0.2136  0.18
Michalowski 1933   79  0.3688  0.0049  0.0460  0.0466  0.0466  0.04
Milkina 1970   30  0.6750  0.0037  0.0535  0.1934  0.2134  0.20
Mohovich 1999   10  0.7817  0.0114  0.0913  0.3917  0.3716  0.38
Moravec 1969   53  0.5740  0.0069  0.0461  0.0464  0.0463  0.04
Morozova 2008   45  0.6149  0.0035  0.0829  0.2339  0.1239  0.17
Neighaus 1950   11  0.772  0.112  0.144  0.526  0.543  0.53
Niedzielski 1931   68  0.5363  0.0087  0.0289  0.0277  0.0284  0.02
Ohlsson 1999   34  0.6413  0.0244  0.0444  0.0962  0.0455  0.06
Osinska 1989   8  0.7815  0.0221  0.0619  0.3213  0.3819  0.35
Pachmann 1927   75  0.4481  0.0061  0.0379  0.0339  0.1454  0.06
Paderewski 1930   46  0.6041  0.0060  0.0457  0.0445  0.0853  0.06
Perlemuter 1992   40  0.6233  0.0032  0.0531  0.2128  0.2332  0.22
Pierdomenico 2008   20  0.7167  0.0028  0.0620  0.3119  0.3124  0.31
Poblocka 1999   38  0.6231  0.0067  0.0371  0.0363  0.0474  0.03
Rabcewiczowa 1932   18  0.7237  0.0030  0.0530  0.2121  0.3627  0.27
Rachmaninoff 1923   52  0.5776  0.0036  0.0438  0.1730  0.2035  0.18
Rangell 2001   26  0.6952  0.0024  0.0523  0.2925  0.2328  0.26
Richter 1976   67  0.5353  0.0062  0.0374  0.0371  0.0376  0.03
Rosen 1989   5  0.829  0.033  0.163  0.552  0.671  0.61
Rosenthal 1930   27  0.6927  0.0029  0.0528  0.2311  0.4821  0.33
Rosenthal 1931   39  0.6286  0.0026  0.0622  0.2911  0.4518  0.36
Rosenthal 1931b   50  0.5971  0.0031  0.0526  0.2613  0.4222  0.33
Rosenthal 1931c   19  0.7161  0.0018  0.0716  0.368  0.584  0.46
Rosenthal 1931d   36  0.6489  0.0040  0.0639  0.1714  0.3631  0.25
Rossi 2007   71  0.5054  0.0034  0.0636  0.184  0.3630  0.25
Rubinstein 1939   82  0.2710  0.0374  0.0288  0.0238  0.1852  0.06
Rubinstein 1952   54  0.5618  0.0170  0.0458  0.0439  0.1351  0.07
Rubinstein 1966   47  0.6032  0.0051  0.0451  0.0413  0.4641  0.14
Schilhawsky 1960   51  0.5782  0.0065  0.0453  0.0466  0.0468  0.04
Shebanova 2002   56  0.5655  0.0068  0.0366  0.0359  0.0569  0.04
Smith 1975   14  0.7714  0.0211  0.116  0.5012  0.3112  0.39
Sokolov 2002   23  0.6925  0.0039  0.0632  0.1944  0.1240  0.15
Sztompka 1959   49  0.5944  0.0048  0.0550  0.0544  0.1347  0.08
Tomsic 1995   25  0.6926  0.0023  0.0625  0.2724  0.3126  0.29
Uninsky 1932   73  0.4883  0.0073  0.0370  0.0368  0.0478  0.03
Uninsky 1971   55  0.5634  0.0066  0.0368  0.0352  0.0567  0.04
Wasowski 1980   65  0.5362  0.0077  0.0281  0.0276  0.0383  0.02
Zak 1937   61  0.5564  0.0063  0.0367  0.0355  0.0564  0.04
Zak 1951   60  0.5574  0.0052  0.0454  0.0448  0.0659  0.05
Average   3  0.836  0.066  0.101  0.5928  0.2711  0.40
Random 1   90  -0.0491  0.0091  0.0191  0.0151  0.0589  0.02
Random 2   91  -0.1079  0.0090  0.0190  0.0173  0.0291  0.01
Random 3   89  0.0965  0.0089  0.0284  0.0223  0.2450  0.07

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).