Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   85  0.2285  0.0086  0.0465  0.0484  0.0388  0.03
Anderszewski 2003   18  0.4215  0.0110  0.118  0.6310  0.647  0.63
Ashkenazy 1981   69  0.3059  0.0039  0.0444  0.0760  0.0666  0.06
Bacha 2000   68  0.3088  0.0075  0.0387  0.0338  0.1950  0.08
Badura 1965   67  0.3063  0.0033  0.0637  0.1022  0.3433  0.18
Barbosa 1983   3  0.492  0.095  0.1516  0.5322  0.4019  0.46
Biret 1990   50  0.3355  0.0046  0.0648  0.0638  0.2246  0.11
Blet 2003   71  0.2948  0.0067  0.0474  0.0450  0.0577  0.04
Block 1995   12  0.4321  0.0120  0.1521  0.4724  0.4718  0.47
Blumental 1952   40  0.3589  0.0057  0.0552  0.0566  0.0570  0.05
Boshniakovich 1969   11  0.4424  0.008  0.109  0.6122  0.4513  0.52
Brailowsky 1960   31  0.3853  0.0034  0.0634  0.1626  0.4029  0.25
Bunin 1987   39  0.3562  0.0030  0.0832  0.2121  0.4228  0.30
Bunin 1987b   47  0.3577  0.0029  0.0831  0.2317  0.4526  0.32
Chiu 1999   29  0.3834  0.0041  0.0538  0.1050  0.0553  0.07
Cohen 1997   42  0.3566  0.0045  0.0556  0.0513  0.5834  0.17
Cortot 1951   60  0.3144  0.0066  0.0473  0.0443  0.1357  0.07
Csalog 1996   46  0.3527  0.0042  0.0440  0.0841  0.1248  0.10
Czerny 1949   61  0.3086  0.0076  0.0385  0.0353  0.0679  0.04
Czerny 1990   44  0.3568  0.0058  0.0464  0.0477  0.0480  0.04
Duchoud 2007   55  0.3282  0.0051  0.0562  0.0522  0.3441  0.13
Ezaki 2006   22  0.4164  0.0028  0.0626  0.3234  0.4023  0.36
Falvay 1989   13  0.439  0.0121  0.1319  0.5027  0.3220  0.40
Farrell 1958   14  0.4313  0.0113  0.1613  0.557  0.579  0.56
Ferenczy 1958   57  0.3222  0.0164  0.0467  0.0428  0.5438  0.15
Fliere 1977   15  0.4330  0.0015  0.1212  0.5740  0.2124  0.35
Fou 1978   24  0.4047  0.0019  0.1517  0.5324  0.4217  0.47
Francois 1956   70  0.3075  0.0069  0.0561  0.0526  0.3145  0.12
Friedman 1923   51  0.3373  0.0062  0.0472  0.0442  0.1158  0.07
Friedman 1923b   59  0.3181  0.0063  0.0549  0.0543  0.1351  0.08
Friedman 1930   54  0.3251  0.0061  0.0557  0.0552  0.0668  0.05
Garcia 2007   73  0.2957  0.0072  0.0554  0.0547  0.0669  0.05
Garcia 2007b   65  0.3083  0.0053  0.0553  0.0531  0.2347  0.11
Gierzod 1998   5  0.473  0.053  0.173  0.707  0.653  0.67
Gornostaeva 1994   27  0.3935  0.0037  0.0635  0.1436  0.2631  0.19
Groot 1988   62  0.3011  0.0136  0.0636  0.1356  0.0552  0.08
Harasiewicz 1955   9  0.4642  0.0024  0.1022  0.4263  0.0540  0.14
Hatto 1993   45  0.3584  0.0059  0.0466  0.0469  0.0481  0.04
Hatto 1997   33  0.3752  0.0047  0.0647  0.0645  0.0665  0.06
Horowitz 1949   82  0.2439  0.0084  0.0386  0.0383  0.0385  0.03
Indjic 1988   49  0.3460  0.0060  0.0560  0.0547  0.0864  0.06
Kapell 1951   25  0.4041  0.0027  0.0827  0.3247  0.0837  0.16
Kissin 1993   19  0.4243  0.0017  0.1111  0.5718  0.598  0.58
Kushner 1989   2  0.516  0.032  0.172  0.7511  0.602  0.67
Luisada 1991   64  0.3090  0.0079  0.0381  0.0370  0.0572  0.04
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   4  0.4923  0.004  0.124  0.697  0.625  0.65
Magaloff 1978   20  0.425  0.0414  0.1115  0.5313  0.5014  0.51
Magin 1975   48  0.3437  0.0054  0.0646  0.0656  0.0567  0.05
Michalowski 1933   87  0.1146  0.0087  0.0384  0.0379  0.0387  0.03
Milkina 1970   74  0.2978  0.0065  0.0470  0.0468  0.0475  0.04
Mohovich 1999   17  0.4320  0.0122  0.1423  0.3830  0.3822  0.38
Moravec 1969   41  0.3538  0.0040  0.0442  0.0761  0.0559  0.06
Morozova 2008   30  0.3810  0.0138  0.0539  0.1063  0.0554  0.07
Neighaus 1950   36  0.3770  0.0044  0.0441  0.0841  0.1844  0.12
Niedzielski 1931   84  0.2358  0.0085  0.0463  0.0484  0.0384  0.03
Ohlsson 1999   32  0.3826  0.0025  0.1124  0.3726  0.3125  0.34
Osinska 1989   10  0.4418  0.0111  0.1210  0.6020  0.5011  0.55
Pachmann 1927   76  0.2854  0.0073  0.0475  0.0446  0.0862  0.06
Paderewski 1930   86  0.1971  0.0082  0.0376  0.0365  0.0486  0.03
Perlemuter 1992   75  0.2861  0.0068  0.0377  0.0353  0.0673  0.04
Pierdomenico 2008   78  0.2879  0.0077  0.0379  0.0345  0.0674  0.04
Poblocka 1999   16  0.4314  0.0116  0.1318  0.5125  0.4616  0.48
Rabcewiczowa 1932   38  0.3669  0.0023  0.1125  0.3525  0.4521  0.40
Rachmaninoff 1923   77  0.2856  0.0078  0.0378  0.0376  0.0383  0.03
Rangell 2001   21  0.418  0.0212  0.1320  0.508  0.5912  0.54
Richter 1976   26  0.3912  0.0132  0.0730  0.2554  0.0643  0.12
Rosen 1989   28  0.3929  0.0031  0.1128  0.3046  0.0642  0.13
Rosenthal 1930   79  0.2628  0.0083  0.0382  0.0368  0.0489  0.03
Rosenthal 1931   52  0.3265  0.0050  0.0559  0.0516  0.6332  0.18
Rosenthal 1931b   66  0.3032  0.0056  0.0558  0.0517  0.5835  0.17
Rosenthal 1931c   72  0.2972  0.0070  0.0471  0.0434  0.2249  0.09
Rosenthal 1931d   83  0.2436  0.0081  0.0380  0.0337  0.1656  0.07
Rossi 2007   81  0.2531  0.0071  0.0468  0.0412  0.4839  0.14
Rubinstein 1939   56  0.3267  0.0052  0.0550  0.0544  0.0861  0.06
Rubinstein 1952   23  0.4119  0.0118  0.1314  0.5428  0.4615  0.50
Rubinstein 1966   1  0.551  0.541  0.531  0.788  0.691  0.73
Schilhawsky 1960   34  0.377  0.0226  0.1129  0.2517  0.4027  0.32
Shebanova 2002   7  0.4716  0.019  0.136  0.6521  0.4810  0.56
Smith 1975   35  0.3745  0.0048  0.0745  0.0726  0.3836  0.16
Sokolov 2002   80  0.2576  0.0080  0.0383  0.0376  0.0382  0.03
Sztompka 1959   58  0.3149  0.0074  0.0469  0.0477  0.0476  0.04
Tomsic 1995   53  0.3274  0.0035  0.0633  0.1727  0.2730  0.21
Uninsky 1932   63  0.3017  0.0155  0.0551  0.0561  0.0478  0.04
Uninsky 1971   37  0.3640  0.0049  0.0555  0.0547  0.0763  0.06
Wasowski 1980   43  0.3533  0.0043  0.0443  0.0748  0.0660  0.06
Zak 1937   8  0.464  0.047  0.147  0.635  0.656  0.64
Zak 1951   6  0.4725  0.006  0.155  0.675  0.654  0.66
Random 1   90  -0.0880  0.0090  0.0190  0.0182  0.0290  0.01
Random 2   88  0.0450  0.0088  0.0288  0.0229  0.2355  0.07
Random 3   89  -0.0687  0.0089  0.0289  0.0239  0.1471  0.05

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).