Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.694  0.056  0.0915  0.4433  0.2622  0.34
Anderszewski 2003   25  0.6523  0.0133  0.0831  0.2622  0.2826  0.27
Ashkenazy 1981   56  0.5574  0.0054  0.0546  0.0575  0.0368  0.04
Bacha 2000   54  0.5525  0.0155  0.0459  0.0441  0.1647  0.08
Badura 1965   64  0.5369  0.0061  0.0365  0.0340  0.1653  0.07
Barbosa 1983   75  0.4737  0.0044  0.0544  0.0934  0.2039  0.13
Biret 1990   24  0.6542  0.0039  0.0638  0.1667  0.0546  0.09
Blet 2003   45  0.6028  0.0150  0.0645  0.0639  0.1250  0.08
Block 1995   32  0.6466  0.0027  0.0730  0.2722  0.3125  0.29
Blumental 1952   82  0.3840  0.0071  0.0367  0.0361  0.0485  0.03
Boshniakovich 1969   10  0.7233  0.0018  0.0723  0.3116  0.4119  0.36
Brailowsky 1960   20  0.6736  0.0040  0.0539  0.1429  0.2934  0.20
Bunin 1987   70  0.5076  0.0066  0.0283  0.0246  0.0686  0.03
Bunin 1987b   72  0.4967  0.0067  0.0457  0.0446  0.0657  0.05
Chiu 1999   76  0.4755  0.0068  0.0378  0.0355  0.0473  0.03
Cohen 1997   87  0.2864  0.0087  0.0460  0.0457  0.0469  0.04
Cortot 1951   53  0.5663  0.0073  0.0284  0.0269  0.0488  0.03
Csalog 1996   79  0.4265  0.0086  0.0379  0.0362  0.0480  0.03
Czerny 1949   17  0.6812  0.0116  0.1120  0.3639  0.1529  0.23
Czerny 1990   13  0.7151  0.0029  0.0913  0.4636  0.1627  0.27
Duchoud 2007   50  0.5722  0.0142  0.0542  0.1036  0.1741  0.13
Ezaki 2006   11  0.7248  0.0014  0.096  0.5320  0.3413  0.42
Falvay 1989   37  0.638  0.0234  0.0740  0.1435  0.2835  0.20
Farrell 1958   40  0.6178  0.0045  0.0554  0.0546  0.0656  0.05
Ferenczy 1958   58  0.5449  0.0077  0.0285  0.0271  0.0483  0.03
Fliere 1977   6  0.7610  0.0211  0.103  0.5936  0.2418  0.38
Fou 1978   39  0.616  0.038  0.0911  0.5023  0.3314  0.41
Francois 1956   14  0.715  0.049  0.1012  0.4811  0.499  0.48
Friedman 1923   83  0.3781  0.0074  0.0377  0.0335  0.2252  0.08
Friedman 1923b   84  0.3786  0.0075  0.0462  0.0437  0.2245  0.09
Friedman 1930   60  0.5471  0.0048  0.0456  0.0418  0.4140  0.13
Garcia 2007   73  0.4983  0.0070  0.0287  0.0263  0.0484  0.03
Garcia 2007b   77  0.4554  0.0056  0.0461  0.0453  0.0570  0.04
Gierzod 1998   12  0.7257  0.0030  0.1121  0.3442  0.1432  0.22
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   30  0.6531  0.0015  0.0914  0.4529  0.3715  0.41
Harasiewicz 1955   48  0.5958  0.0022  0.0726  0.2939  0.1237  0.19
Hatto 1993   86  0.3389  0.0083  0.0286  0.0271  0.0487  0.03
Hatto 1997   80  0.3982  0.0080  0.0371  0.0364  0.0482  0.03
Horowitz 1949   59  0.5485  0.0079  0.0369  0.0360  0.0476  0.03
Indjic 1988   85  0.3590  0.0084  0.0363  0.0375  0.0379  0.03
Kapell 1951   46  0.6044  0.0058  0.0550  0.0561  0.0461  0.04
Kissin 1993   26  0.6511  0.0119  0.0728  0.2837  0.1536  0.20
Kushner 1989   5  0.7629  0.017  0.097  0.5319  0.447  0.48
Luisada 1991   35  0.6359  0.0036  0.0835  0.1943  0.0842  0.12
Lushtak 2004   71  0.5079  0.0062  0.0555  0.0569  0.0467  0.04
Malcuzynski 1961   3  0.7720  0.013  0.2310  0.516  0.496  0.50
Magaloff 1978   7  0.7414  0.0112  0.108  0.535  0.493  0.51
Magin 1975   21  0.6627  0.0117  0.0716  0.3920  0.2921  0.34
Michalowski 1933   68  0.5345  0.0049  0.0552  0.0547  0.0854  0.06
Milkina 1970   15  0.7053  0.0013  0.0819  0.3823  0.3320  0.35
Mohovich 1999   9  0.733  0.084  0.159  0.5320  0.438  0.48
Moravec 1969   61  0.5446  0.0082  0.0375  0.0383  0.0371  0.03
Morozova 2008   52  0.5641  0.0046  0.0547  0.0566  0.0464  0.04
Neighaus 1950   8  0.7321  0.015  0.105  0.5617  0.3411  0.44
Niedzielski 1931   49  0.5780  0.0078  0.0381  0.0365  0.0374  0.03
Ohlsson 1999   28  0.6515  0.0138  0.0636  0.1762  0.0449  0.08
Osinska 1989   4  0.7713  0.0110  0.114  0.5714  0.445  0.50
Pachmann 1927   62  0.5452  0.0081  0.0380  0.0368  0.0478  0.03
Paderewski 1930   44  0.6073  0.0057  0.0458  0.0448  0.0462  0.04
Perlemuter 1992   41  0.6118  0.0126  0.0633  0.2430  0.1733  0.20
Pierdomenico 2008   51  0.5761  0.0063  0.0370  0.0350  0.0659  0.04
Poblocka 1999   42  0.6075  0.0064  0.0366  0.0365  0.0472  0.03
Rabcewiczowa 1932   27  0.6526  0.0137  0.0637  0.1622  0.3130  0.22
Rachmaninoff 1923   47  0.5930  0.0135  0.0734  0.2038  0.1338  0.16
Rangell 2001   34  0.6456  0.0021  0.0627  0.2918  0.3724  0.33
Richter 1976   74  0.4777  0.0085  0.0282  0.0267  0.0477  0.03
Rosen 1989   1  0.781  0.341  0.342  0.701  0.641  0.67
Rosenthal 1930   18  0.679  0.0231  0.0924  0.306  0.6212  0.43
Rosenthal 1931   31  0.6550  0.0023  0.0922  0.327  0.6110  0.44
Rosenthal 1931b   36  0.6339  0.0025  0.0725  0.297  0.5416  0.40
Rosenthal 1931c   19  0.6738  0.0024  0.1217  0.395  0.674  0.51
Rosenthal 1931d   23  0.6643  0.0032  0.1132  0.2614  0.4523  0.34
Rossi 2007   69  0.5262  0.0041  0.0541  0.115  0.4928  0.23
Rubinstein 1939   81  0.3832  0.0072  0.0372  0.0350  0.0560  0.04
Rubinstein 1952   78  0.4519  0.0159  0.0373  0.0344  0.1155  0.06
Rubinstein 1966   57  0.5435  0.0051  0.0549  0.0542  0.1544  0.09
Schilhawsky 1960   66  0.5372  0.0065  0.0376  0.0367  0.0481  0.03
Shebanova 2002   33  0.6468  0.0052  0.0548  0.0581  0.0366  0.04
Smith 1975   2  0.782  0.132  0.261  0.712  0.612  0.66
Sokolov 2002   29  0.657  0.0328  0.0818  0.3819  0.4017  0.39
Sztompka 1959   22  0.6616  0.0120  0.0629  0.2740  0.1831  0.22
Tomsic 1995   38  0.6147  0.0053  0.0551  0.0529  0.3043  0.12
Uninsky 1932   65  0.5324  0.0169  0.0368  0.0353  0.0665  0.04
Uninsky 1971   67  0.5360  0.0076  0.0364  0.0364  0.0563  0.04
Wasowski 1980   43  0.6017  0.0143  0.0543  0.1048  0.0648  0.08
Zak 1937   55  0.5570  0.0060  0.0374  0.0369  0.0475  0.03
Zak 1951   63  0.5434  0.0047  0.0553  0.0561  0.0558  0.05
Random 1   89  -0.1384  0.0089  0.0189  0.0163  0.0489  0.02
Random 2   90  -0.2087  0.0090  0.0190  0.0186  0.0290  0.01
Random 3   88  0.0188  0.0088  0.0288  0.0214  0.3651  0.08

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).