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  0.6419  0.0114  0.1118  0.4015  0.4316  0.41
Anderszewski 2003   49  0.4923  0.0054  0.0465  0.0427  0.2549  0.10
Ashkenazy 1981   57  0.4668  0.0066  0.0454  0.0473  0.0476  0.04
Bacha 2000   68  0.4356  0.0077  0.0379  0.0365  0.0477  0.03
Badura 1965   67  0.4482  0.0057  0.0462  0.0428  0.2751  0.10
Barbosa 1983   63  0.4483  0.0053  0.0369  0.0343  0.1160  0.06
Biret 1990   17  0.6310  0.0217  0.0720  0.3522  0.4222  0.38
Blet 2003   55  0.4837  0.0062  0.0461  0.0441  0.1355  0.07
Block 1995   20  0.6049  0.0026  0.0824  0.3211  0.4421  0.38
Blumental 1952   81  0.2745  0.0084  0.0375  0.0371  0.0485  0.03
Boshniakovich 1969   19  0.6127  0.0019  0.0819  0.3915  0.5213  0.45
Brailowsky 1960   29  0.5747  0.0033  0.0737  0.1729  0.2639  0.21
Bunin 1987   40  0.5357  0.0051  0.0455  0.0449  0.0668  0.05
Bunin 1987b   39  0.5351  0.0052  0.0745  0.0750  0.0658  0.06
Chiu 1999   73  0.4143  0.0059  0.0550  0.0545  0.0664  0.05
Cohen 1997   77  0.337  0.0420  0.0743  0.1233  0.2044  0.15
Cortot 1951   48  0.5039  0.0045  0.0460  0.0437  0.1953  0.09
Csalog 1996   72  0.4153  0.0079  0.0376  0.0353  0.0673  0.04
Czerny 1949   9  0.696  0.055  0.146  0.618  0.664  0.63
Czerny 1990   18  0.6132  0.0037  0.0734  0.2126  0.2536  0.23
Duchoud 2007   37  0.5438  0.0046  0.0546  0.0536  0.2050  0.10
Ezaki 2006   7  0.7112  0.019  0.195  0.619  0.528  0.56
Falvay 1989   25  0.5830  0.0031  0.0828  0.2626  0.2334  0.24
Farrell 1958   38  0.5459  0.0021  0.0533  0.2223  0.3330  0.27
Ferenczy 1958   66  0.4452  0.0078  0.0370  0.0346  0.0767  0.05
Fliere 1977   15  0.6625  0.0022  0.0917  0.4125  0.2824  0.34
Fou 1978   32  0.5535  0.0016  0.0814  0.4224  0.3818  0.40
Francois 1956   6  0.711  0.221  0.227  0.606  0.567  0.58
Friedman 1923   86  0.1688  0.0080  0.0378  0.0336  0.1462  0.06
Friedman 1923b   87  0.1684  0.0081  0.0380  0.0339  0.1261  0.06
Friedman 1930   76  0.3631  0.0063  0.0451  0.0430  0.2947  0.11
Garcia 2007   82  0.2278  0.0085  0.0382  0.0379  0.0384  0.03
Garcia 2007b   85  0.1989  0.0087  0.0286  0.0279  0.0290  0.02
Gierzod 1998   24  0.5850  0.0036  0.0832  0.2323  0.2435  0.23
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   11  0.6817  0.0110  0.1512  0.5011  0.4812  0.49
Harasiewicz 1955   41  0.5318  0.0111  0.1313  0.4411  0.3917  0.41
Hatto 1993   83  0.2274  0.0082  0.0283  0.0281  0.0389  0.02
Hatto 1997   79  0.3160  0.0072  0.0373  0.0379  0.0382  0.03
Horowitz 1949   53  0.4864  0.0060  0.0453  0.0460  0.0471  0.04
Indjic 1988   84  0.2185  0.0083  0.0284  0.0281  0.0387  0.02
Kapell 1951   45  0.5186  0.0070  0.0464  0.0454  0.0569  0.04
Kissin 1993   30  0.5748  0.0030  0.0631  0.2430  0.3031  0.27
Kushner 1989   10  0.6879  0.0025  0.0629  0.2613  0.4226  0.33
Luisada 1991   42  0.5366  0.0061  0.0467  0.0449  0.0663  0.05
Lushtak 2004   59  0.4561  0.0049  0.0456  0.0467  0.0475  0.04
Malcuzynski 1961   4  0.7213  0.016  0.169  0.5811  0.4711  0.52
Magaloff 1978   2  0.725  0.057  0.188  0.586  0.4710  0.52
Magin 1975   43  0.5354  0.0041  0.0642  0.1424  0.2541  0.19
Michalowski 1933   78  0.3258  0.0069  0.0372  0.0353  0.0572  0.04
Milkina 1970   28  0.5775  0.0035  0.0723  0.3326  0.3228  0.32
Mohovich 1999   13  0.679  0.0212  0.1511  0.519  0.569  0.53
Moravec 1969   52  0.4929  0.0067  0.0459  0.0438  0.1254  0.07
Morozova 2008   34  0.5434  0.0032  0.1022  0.3317  0.3229  0.32
Neighaus 1950   8  0.693  0.123  0.194  0.664  0.605  0.63
Niedzielski 1931   74  0.3980  0.0086  0.0287  0.0274  0.0386  0.02
Ohlsson 1999   22  0.5914  0.0123  0.0735  0.1943  0.1243  0.15
Osinska 1989   3  0.728  0.048  0.192  0.702  0.782  0.74
Pachmann 1927   75  0.3787  0.0055  0.0371  0.0344  0.1066  0.05
Paderewski 1930   51  0.4969  0.0071  0.0549  0.0549  0.0565  0.05
Perlemuter 1992   35  0.5440  0.0028  0.0626  0.2820  0.4125  0.34
Pierdomenico 2008   46  0.5162  0.0047  0.0463  0.0424  0.2448  0.10
Poblocka 1999   33  0.5442  0.0068  0.0368  0.0358  0.0479  0.03
Rabcewiczowa 1932   12  0.6720  0.0113  0.1010  0.543  0.726  0.62
Rachmaninoff 1923   54  0.4841  0.0038  0.0538  0.1729  0.2640  0.21
Rangell 2001   21  0.5944  0.0018  0.0615  0.4214  0.3919  0.40
Richter 1976   70  0.4367  0.0073  0.0285  0.0254  0.0480  0.03
Rosen 1989   1  0.732  0.182  0.231  0.762  0.751  0.75
Rosenthal 1930   26  0.5826  0.0034  0.0627  0.278  0.5720  0.39
Rosenthal 1931   56  0.4676  0.0042  0.0840  0.1411  0.5332  0.27
Rosenthal 1931b   62  0.4470  0.0048  0.0547  0.0514  0.4645  0.15
Rosenthal 1931c   27  0.5881  0.0027  0.0721  0.339  0.6114  0.45
Rosenthal 1931d   50  0.4921  0.0050  0.0452  0.0415  0.3846  0.12
Rossi 2007   58  0.4624  0.0040  0.0641  0.146  0.4833  0.26
Rubinstein 1939   80  0.3022  0.0044  0.0544  0.1029  0.2842  0.17
Rubinstein 1952   44  0.5216  0.0143  0.0639  0.1624  0.3138  0.22
Rubinstein 1966   36  0.5436  0.0039  0.0530  0.247  0.5123  0.35
Schilhawsky 1960   64  0.4471  0.0075  0.0377  0.0379  0.0381  0.03
Shebanova 2002   60  0.4433  0.0074  0.0381  0.0370  0.0483  0.03
Smith 1975   5  0.714  0.084  0.233  0.682  0.633  0.65
Sokolov 2002   14  0.6611  0.0215  0.0816  0.4212  0.4215  0.42
Sztompka 1959   47  0.5146  0.0064  0.0548  0.0538  0.1752  0.09
Tomsic 1995   23  0.5928  0.0029  0.0825  0.3117  0.3527  0.33
Uninsky 1932   71  0.4255  0.0065  0.0458  0.0451  0.0574  0.04
Uninsky 1971   31  0.5515  0.0124  0.0736  0.1836  0.2637  0.22
Wasowski 1980   61  0.4465  0.0076  0.0374  0.0363  0.0478  0.03
Zak 1937   69  0.4372  0.0058  0.0466  0.0466  0.0470  0.04
Zak 1951   65  0.4473  0.0056  0.0457  0.0445  0.0859  0.06
Random 1   90  -0.0290  0.0090  0.0190  0.0149  0.0488  0.02
Random 2   89  0.0077  0.0089  0.0288  0.0227  0.2256  0.07
Random 3   88  0.0463  0.0088  0.0289  0.0231  0.2457  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).