Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.6319  0.0119  0.0632  0.1948  0.0634  0.11
Anderszewski 2003   2  0.763  0.093  0.161  0.615  0.452  0.52
Ashkenazy 1981   59  0.5557  0.0051  0.0648  0.0651  0.0562  0.05
Bacha 2000   54  0.5860  0.0038  0.0734  0.1529  0.1525  0.15
Badura 1965   63  0.5362  0.0069  0.0372  0.0352  0.0679  0.04
Barbosa 1983   81  0.4284  0.0064  0.0367  0.0353  0.0576  0.04
Biret 1990   42  0.6049  0.0043  0.0443  0.0956  0.0546  0.07
Blet 2003   57  0.5637  0.0077  0.0375  0.0358  0.0577  0.04
Block 1995   47  0.5946  0.0031  0.0435  0.1328  0.1826  0.15
Blumental 1952   77  0.4844  0.0027  0.0437  0.1076  0.0361  0.05
Boshniakovich 1969   9  0.729  0.0415  0.0914  0.3335  0.2217  0.27
Brailowsky 1960   16  0.6848  0.0037  0.0931  0.2026  0.2721  0.23
Bunin 1987   84  0.3967  0.0083  0.0380  0.0344  0.1152  0.06
Bunin 1987b   85  0.3772  0.0082  0.0284  0.0244  0.1155  0.05
Chiu 1999   78  0.4689  0.0052  0.0558  0.0563  0.0467  0.04
Cohen 1997   87  0.2961  0.0087  0.0464  0.0445  0.0763  0.05
Cortot 1951   53  0.5863  0.0065  0.0371  0.0360  0.0489  0.03
Csalog 1996   83  0.4168  0.0084  0.0283  0.0247  0.0583  0.03
Czerny 1949   30  0.6459  0.0049  0.0745  0.0754  0.0550  0.06
Czerny 1990   25  0.6636  0.0023  0.0425  0.2151  0.0440  0.09
Duchoud 2007   68  0.5114  0.0139  0.0444  0.0853  0.0551  0.06
Ezaki 2006   29  0.6458  0.0046  0.0459  0.0449  0.0466  0.04
Falvay 1989   56  0.5711  0.0272  0.0374  0.0337  0.3039  0.09
Farrell 1958   58  0.5685  0.0053  0.0462  0.0449  0.0753  0.05
Ferenczy 1958   46  0.6047  0.0062  0.0646  0.0663  0.0458  0.05
Fliere 1977   14  0.694  0.079  0.1111  0.3545  0.0628  0.14
Fou 1978   40  0.6152  0.0017  0.0721  0.2463  0.0435  0.10
Francois 1956   27  0.6640  0.0040  0.0441  0.0930  0.2427  0.15
Friedman 1923   52  0.5890  0.0060  0.0465  0.0447  0.0765  0.05
Friedman 1923b   55  0.5739  0.0061  0.0555  0.0552  0.0664  0.05
Friedman 1930   24  0.6643  0.0042  0.0539  0.1037  0.2924  0.17
Garcia 2007   39  0.6156  0.0054  0.0554  0.0557  0.0560  0.05
Garcia 2007b   28  0.6422  0.0126  0.0517  0.2949  0.0530  0.12
Gierzod 1998   6  0.735  0.076  0.142  0.5736  0.2010  0.34
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   66  0.5217  0.0121  0.0540  0.1044  0.1036  0.10
Harasiewicz 1955   35  0.6388  0.0029  0.0429  0.2060  0.0538  0.10
Hatto 1993   79  0.4686  0.0070  0.0376  0.0363  0.0580  0.04
Hatto 1997   76  0.4879  0.0071  0.0461  0.0465  0.0578  0.04
Horowitz 1949   64  0.5366  0.0079  0.0381  0.0353  0.0756  0.05
Indjic 1988   74  0.4880  0.0068  0.0369  0.0363  0.0575  0.04
Kapell 1951   44  0.6038  0.0041  0.0538  0.1071  0.0448  0.06
Kissin 1993   37  0.6273  0.0044  0.0542  0.0974  0.0357  0.05
Kushner 1989   15  0.6931  0.0035  0.0823  0.2351  0.0532  0.11
Luisada 1991   34  0.638  0.058  0.109  0.4039  0.1320  0.23
Lushtak 2004   73  0.4969  0.0075  0.0373  0.0378  0.0387  0.03
Malcuzynski 1961   13  0.6928  0.0113  0.1115  0.3212  0.398  0.35
Magaloff 1978   22  0.677  0.0518  0.0722  0.239  0.4213  0.31
Magin 1975   10  0.7110  0.024  0.133  0.5320  0.393  0.45
Michalowski 1933   12  0.6942  0.0030  0.0526  0.2032  0.2022  0.20
Milkina 1970   5  0.7433  0.005  0.1713  0.3320  0.387  0.35
Mohovich 1999   18  0.6754  0.0016  0.0816  0.3144  0.1223  0.19
Moravec 1969   69  0.5135  0.0067  0.0370  0.0338  0.1541  0.07
Morozova 2008   67  0.5130  0.0166  0.0366  0.0369  0.0486  0.03
Neighaus 1950   11  0.7050  0.0034  0.0533  0.1649  0.0637  0.10
Niedzielski 1931   36  0.6232  0.0050  0.0552  0.0553  0.0471  0.04
Ohlsson 1999   26  0.6625  0.0133  0.0427  0.2047  0.0633  0.11
Osinska 1989   4  0.7526  0.0110  0.128  0.4438  0.1616  0.27
Pachmann 1927   33  0.6334  0.0073  0.0368  0.0331  0.1744  0.07
Paderewski 1930   43  0.6070  0.0057  0.0551  0.0541  0.0943  0.07
Perlemuter 1992   45  0.6015  0.0120  0.0636  0.1148  0.0542  0.07
Pierdomenico 2008   80  0.4381  0.0086  0.0382  0.0361  0.0569  0.04
Poblocka 1999   49  0.5878  0.0059  0.0649  0.0648  0.0647  0.06
Rabcewiczowa 1932   51  0.5813  0.0158  0.0550  0.0557  0.0472  0.04
Rachmaninoff 1923   38  0.6264  0.0045  0.0556  0.0559  0.0468  0.04
Rangell 2001   48  0.5874  0.0028  0.0428  0.2014  0.3915  0.28
Richter 1976   82  0.4276  0.0085  0.0286  0.0256  0.0682  0.03
Rosen 1989   3  0.751  0.191  0.187  0.4513  0.434  0.44
Rosenthal 1930   23  0.6618  0.0132  0.0424  0.229  0.3914  0.29
Rosenthal 1931   19  0.6721  0.0122  0.0418  0.2910  0.516  0.38
Rosenthal 1931b   21  0.6777  0.0024  0.0419  0.289  0.545  0.39
Rosenthal 1931c   31  0.6323  0.0136  0.0730  0.208  0.5112  0.32
Rosenthal 1931d   17  0.6751  0.0025  0.0520  0.2612  0.489  0.35
Rossi 2007   61  0.5420  0.0156  0.0553  0.0528  0.2431  0.11
Rubinstein 1939   75  0.4841  0.0063  0.0463  0.0476  0.0470  0.04
Rubinstein 1952   86  0.3465  0.0081  0.0285  0.0249  0.0781  0.04
Rubinstein 1966   72  0.4975  0.0080  0.0379  0.0375  0.0484  0.03
Schilhawsky 1960   71  0.4945  0.0074  0.0377  0.0368  0.0485  0.03
Shebanova 2002   8  0.7212  0.0111  0.125  0.4960  0.0429  0.14
Smith 1975   1  0.792  0.102  0.224  0.531  0.571  0.55
Sokolov 2002   41  0.6016  0.0112  0.1012  0.3520  0.3111  0.33
Sztompka 1959   7  0.736  0.077  0.146  0.4541  0.1418  0.25
Tomsic 1995   62  0.5453  0.0078  0.0287  0.0240  0.1649  0.06
Uninsky 1932   50  0.5827  0.0155  0.0557  0.0561  0.0559  0.05
Uninsky 1971   70  0.5071  0.0076  0.0378  0.0353  0.0674  0.04
Wasowski 1980   20  0.6724  0.0114  0.1110  0.3532  0.1619  0.24
Zak 1937   60  0.5555  0.0048  0.0647  0.0669  0.0454  0.05
Zak 1951   65  0.5229  0.0147  0.0460  0.0465  0.0473  0.04
Random 1   89  -0.2287  0.0089  0.0189  0.0142  0.1088  0.03
Random 2   90  -0.3082  0.0090  0.0190  0.0178  0.0390  0.02
Random 3   88  -0.0683  0.0088  0.0288  0.0231  0.2545  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).