Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.6319  0.0120  0.0633  0.1949  0.0536  0.10
Anderszewski 2003   3  0.764  0.064  0.162  0.616  0.452  0.52
Ashkenazy 1981   60  0.5558  0.0052  0.0649  0.0652  0.0562  0.05
Bacha 2000   55  0.5861  0.0039  0.0735  0.1530  0.1526  0.15
Badura 1965   64  0.5363  0.0070  0.0373  0.0353  0.0679  0.04
Barbosa 1983   82  0.4285  0.0065  0.0368  0.0354  0.0576  0.04
Biret 1990   43  0.6050  0.0044  0.0444  0.0957  0.0547  0.07
Blet 2003   58  0.5637  0.0078  0.0376  0.0359  0.0577  0.04
Block 1995   48  0.5946  0.0032  0.0436  0.1329  0.1827  0.15
Blumental 1952   78  0.4845  0.0028  0.0438  0.1077  0.0361  0.05
Boshniakovich 1969   10  0.729  0.0416  0.0915  0.3336  0.2218  0.27
Brailowsky 1960   17  0.6848  0.0038  0.0932  0.2027  0.2722  0.23
Bunin 1987   85  0.3968  0.0084  0.0381  0.0345  0.1153  0.06
Bunin 1987b   86  0.3773  0.0083  0.0285  0.0245  0.1156  0.05
Chiu 1999   79  0.4690  0.0053  0.0559  0.0564  0.0367  0.04
Cohen 1997   88  0.2962  0.0088  0.0465  0.0446  0.0763  0.05
Cortot 1951   54  0.5864  0.0066  0.0372  0.0361  0.0490  0.03
Csalog 1996   84  0.4169  0.0085  0.0284  0.0248  0.0584  0.03
Czerny 1949   31  0.6460  0.0050  0.0746  0.0755  0.0551  0.06
Czerny 1990   26  0.6635  0.0024  0.0426  0.2152  0.0441  0.09
Duchoud 2007   69  0.5115  0.0140  0.0445  0.0854  0.0552  0.06
Ezaki 2006   30  0.6459  0.0047  0.0460  0.0450  0.0466  0.04
Falvay 1989   57  0.5711  0.0273  0.0375  0.0338  0.3040  0.09
Farrell 1958   59  0.5686  0.0054  0.0463  0.0450  0.0754  0.05
Ferenczy 1958   47  0.6047  0.0063  0.0647  0.0664  0.0458  0.05
Fliere 1977   15  0.6910  0.0310  0.1112  0.3546  0.0629  0.14
Fou 1978   41  0.6153  0.0018  0.0722  0.2464  0.0435  0.10
Francois 1956   28  0.6640  0.0041  0.0442  0.0931  0.2428  0.15
Friedman 1923   53  0.5891  0.0061  0.0466  0.0448  0.0765  0.05
Friedman 1923b   56  0.5739  0.0062  0.0556  0.0553  0.0564  0.05
Friedman 1930   25  0.6644  0.0043  0.0540  0.1038  0.2925  0.17
Garcia 2007   40  0.6157  0.0055  0.0555  0.0558  0.0560  0.05
Garcia 2007b   29  0.6425  0.0127  0.0518  0.2950  0.0531  0.12
Gierzod 1998   7  0.735  0.057  0.133  0.5737  0.2010  0.34
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   67  0.5241  0.0022  0.0541  0.1045  0.1037  0.10
Harasiewicz 1955   36  0.6389  0.0030  0.0430  0.2061  0.0539  0.10
Hatto 1993   80  0.4687  0.0071  0.0377  0.0364  0.0580  0.04
Hatto 1997   77  0.4880  0.0072  0.0462  0.0466  0.0478  0.04
Horowitz 1949   65  0.5367  0.0080  0.0282  0.0254  0.0773  0.04
Indjic 1988   75  0.4881  0.0069  0.0370  0.0364  0.0575  0.04
Kapell 1951   45  0.6038  0.0042  0.0539  0.1072  0.0449  0.06
Kissin 1993   38  0.6274  0.0045  0.0443  0.0975  0.0357  0.05
Kushner 1989   16  0.6931  0.0036  0.0724  0.2352  0.0533  0.11
Luisada 1991   35  0.638  0.049  0.1010  0.4040  0.1321  0.23
Lushtak 2004   74  0.4970  0.0076  0.0374  0.0379  0.0388  0.03
Malcuzynski 1961   14  0.6928  0.0114  0.1116  0.3213  0.398  0.35
Magaloff 1978   23  0.676  0.0519  0.0723  0.2310  0.4213  0.31
Magin 1975   11  0.7112  0.025  0.134  0.5321  0.393  0.45
Michalowski 1933   13  0.6943  0.0031  0.0527  0.2033  0.2023  0.20
Milkina 1970   6  0.7436  0.006  0.1714  0.3321  0.387  0.35
Mohovich 1999   19  0.6755  0.0017  0.0817  0.3145  0.1224  0.19
Moravec 1969   70  0.5134  0.0068  0.0371  0.0339  0.1542  0.07
Morozova 2008   68  0.5130  0.0167  0.0367  0.0370  0.0387  0.03
Neighaus 1950   12  0.7051  0.0035  0.0534  0.1650  0.0638  0.10
Niedzielski 1931   37  0.6232  0.0051  0.0553  0.0554  0.0470  0.04
Ohlsson 1999   27  0.6623  0.0134  0.0428  0.2048  0.0634  0.11
Osinska 1989   5  0.7526  0.0111  0.129  0.4439  0.1617  0.27
Pachmann 1927   34  0.6333  0.0074  0.0369  0.0332  0.1745  0.07
Paderewski 1930   44  0.6071  0.0058  0.0552  0.0542  0.0944  0.07
Perlemuter 1992   46  0.6016  0.0121  0.0637  0.1149  0.0543  0.07
Pierdomenico 2008   81  0.4382  0.0087  0.0283  0.0262  0.0582  0.03
Poblocka 1999   50  0.5878  0.0060  0.0650  0.0649  0.0648  0.06
Rabcewiczowa 1932   52  0.5814  0.0159  0.0551  0.0558  0.0471  0.04
Rachmaninoff 1923   39  0.6266  0.0046  0.0557  0.0560  0.0468  0.04
Rangell 2001   49  0.5875  0.0029  0.0429  0.2015  0.3916  0.28
Richter 1976   83  0.4279  0.0086  0.0287  0.0257  0.0683  0.03
Rosen 1989   4  0.751  0.181  0.188  0.4514  0.434  0.44
Rosenthal 1930   24  0.6618  0.0133  0.0425  0.2210  0.3915  0.29
Rosenthal 1931   20  0.6721  0.0123  0.0419  0.2910  0.516  0.38
Rosenthal 1931b   22  0.6777  0.0025  0.0420  0.289  0.545  0.39
Rosenthal 1931c   32  0.6324  0.0137  0.0731  0.208  0.5112  0.32
Rosenthal 1931d   18  0.6752  0.0026  0.0521  0.2613  0.489  0.35
Rossi 2007   62  0.5420  0.0157  0.0554  0.0529  0.2432  0.11
Rubinstein 1939   76  0.4842  0.0064  0.0464  0.0477  0.0469  0.04
Rubinstein 1952   87  0.3465  0.0082  0.0286  0.0250  0.0781  0.04
Rubinstein 1966   73  0.4976  0.0081  0.0380  0.0376  0.0485  0.03
Schilhawsky 1960   72  0.4949  0.0075  0.0378  0.0369  0.0486  0.03
Shebanova 2002   9  0.7213  0.0112  0.126  0.4961  0.0430  0.14
Smith 1975   1  0.793  0.102  0.205  0.532  0.571  0.55
Sokolov 2002   42  0.6017  0.0113  0.1013  0.3521  0.3111  0.33
Sztompka 1959   8  0.737  0.048  0.147  0.4542  0.1419  0.25
Tomsic 1995   63  0.5454  0.0079  0.0288  0.0241  0.1650  0.06
Uninsky 1932   51  0.5827  0.0156  0.0558  0.0562  0.0559  0.05
Uninsky 1971   71  0.5072  0.0077  0.0379  0.0354  0.0674  0.04
Wasowski 1980   21  0.6722  0.0115  0.1111  0.3533  0.1620  0.24
Zak 1937   61  0.5556  0.0049  0.0648  0.0670  0.0455  0.05
Zak 1951   66  0.5229  0.0148  0.0461  0.0466  0.0472  0.04
Average   2  0.782  0.163  0.281  0.6645  0.1314  0.29
Random 1   90  -0.2288  0.0090  0.0190  0.0142  0.1189  0.03
Random 2   91  -0.3083  0.0091  0.0191  0.0179  0.0391  0.02
Random 3   89  -0.0684  0.0089  0.0289  0.0231  0.2546  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).