Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.5372  0.0066  0.0470  0.0466  0.0478  0.04
Anderszewski 2003   19  0.6044  0.0034  0.0628  0.3131  0.3524  0.33
Ashkenazy 1981   47  0.5350  0.0046  0.0562  0.0544  0.1162  0.07
Bacha 2000   66  0.4773  0.0069  0.0472  0.0440  0.1260  0.07
Badura 1965   52  0.5249  0.0062  0.0552  0.0547  0.0864  0.06
Barbosa 1983   17  0.6212  0.0124  0.0923  0.4112  0.5511  0.47
Biret 1990   21  0.6024  0.0015  0.0911  0.5317  0.4310  0.48
Blet 2003   51  0.5378  0.0058  0.0553  0.0518  0.3545  0.13
Block 1995   59  0.5174  0.0057  0.0747  0.0739  0.1353  0.10
Blumental 1952   31  0.5886  0.0045  0.0557  0.0552  0.0571  0.05
Boshniakovich 1969   44  0.5441  0.0038  0.0636  0.2259  0.0554  0.10
Brailowsky 1960   39  0.5516  0.0129  0.0640  0.1418  0.4832  0.26
Bunin 1987   69  0.4577  0.0063  0.0651  0.0631  0.3243  0.14
Bunin 1987b   71  0.4575  0.0059  0.0563  0.0529  0.3544  0.13
Chiu 1999   20  0.6053  0.0052  0.0558  0.0525  0.2648  0.11
Cohen 1997   57  0.5236  0.0067  0.0561  0.056  0.4741  0.15
Cortot 1951   70  0.4515  0.0161  0.0565  0.0541  0.1358  0.08
Csalog 1996   64  0.4826  0.0042  0.0642  0.1319  0.3838  0.22
Czerny 1949   36  0.5617  0.0144  0.0544  0.1047  0.0757  0.08
Czerny 1990   11  0.639  0.0223  0.0824  0.3841  0.1636  0.25
Duchoud 2007   74  0.4457  0.0070  0.0466  0.0424  0.2849  0.11
Ezaki 2006   18  0.6063  0.0053  0.0846  0.0854  0.0659  0.07
Falvay 1989   16  0.628  0.038  0.1122  0.426  0.568  0.48
Farrell 1958   10  0.6420  0.0112  0.119  0.5511  0.536  0.54
Ferenczy 1958   61  0.5047  0.0065  0.0468  0.0443  0.1556  0.08
Fliere 1977   4  0.6614  0.016  0.205  0.6530  0.2516  0.40
Fou 1978   30  0.5881  0.0022  0.0826  0.3436  0.1935  0.25
Francois 1956   45  0.5466  0.0049  0.0556  0.0516  0.5040  0.16
Friedman 1923   56  0.5282  0.0072  0.0379  0.0366  0.0582  0.04
Friedman 1923b   54  0.5268  0.0071  0.0471  0.0457  0.0579  0.04
Friedman 1930   58  0.5164  0.0074  0.0380  0.0351  0.0677  0.04
Garcia 2007   62  0.5076  0.0068  0.0559  0.0547  0.0669  0.05
Garcia 2007b   48  0.5343  0.0031  0.0632  0.2327  0.3531  0.28
Gierzod 1998   14  0.6222  0.0019  0.0910  0.5444  0.1530  0.28
Gornostaeva 1994   60  0.5035  0.0056  0.0554  0.0545  0.0572  0.05
Groot 1988   35  0.5613  0.017  0.1118  0.458  0.4712  0.46
Harasiewicz 1955   3  0.665  0.0811  0.1213  0.5233  0.3117  0.40
Hatto 1993   8  0.6587  0.0021  0.1516  0.5027  0.2920  0.38
Hatto 1997   7  0.6531  0.0014  0.0914  0.5127  0.2721  0.37
Horowitz 1949   81  0.4058  0.0080  0.0385  0.0356  0.0675  0.04
Indjic 1988   6  0.6533  0.0020  0.1015  0.5125  0.3019  0.39
Kapell 1951   33  0.5727  0.0013  0.0817  0.4927  0.2722  0.36
Kissin 1993   22  0.6083  0.0027  0.0825  0.3641  0.2428  0.29
Kushner 1989   2  0.673  0.103  0.331  0.765  0.651  0.70
Luisada 1991   23  0.5979  0.0051  0.0748  0.0768  0.0465  0.05
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   79  0.4161  0.0078  0.0375  0.0372  0.0384  0.03
Magaloff 1978   38  0.5534  0.0030  0.0837  0.2121  0.3333  0.26
Magin 1975   53  0.5230  0.0050  0.0649  0.0652  0.0567  0.05
Michalowski 1933   86  0.3269  0.0087  0.0469  0.0468  0.0476  0.04
Milkina 1970   41  0.5529  0.0032  0.0731  0.2453  0.0646  0.12
Mohovich 1999   26  0.5918  0.0117  0.1119  0.4422  0.4613  0.45
Moravec 1969   73  0.4488  0.0081  0.0374  0.0349  0.0673  0.04
Morozova 2008   25  0.5932  0.0028  0.0927  0.3226  0.3525  0.33
Neighaus 1950   27  0.5838  0.0035  0.0530  0.2921  0.3923  0.34
Niedzielski 1931   75  0.4367  0.0077  0.0382  0.0385  0.0383  0.03
Ohlsson 1999   24  0.5919  0.0118  0.137  0.5817  0.467  0.52
Osinska 1989   9  0.654  0.095  0.194  0.6624  0.505  0.57
Pachmann 1927   68  0.4646  0.0076  0.0381  0.0313  0.4747  0.12
Paderewski 1930   80  0.4056  0.0079  0.0384  0.0378  0.0385  0.03
Perlemuter 1992   40  0.5552  0.0037  0.0535  0.2221  0.4127  0.30
Pierdomenico 2008   77  0.4351  0.0043  0.0543  0.1215  0.4537  0.23
Poblocka 1999   28  0.5862  0.0025  0.0921  0.4433  0.3418  0.39
Rabcewiczowa 1932   37  0.5621  0.0116  0.0920  0.4415  0.4015  0.42
Rachmaninoff 1923   46  0.5348  0.0055  0.0845  0.0852  0.0563  0.06
Rangell 2001   78  0.4111  0.0139  0.0834  0.2220  0.3929  0.29
Richter 1976   65  0.4710  0.0260  0.0564  0.0543  0.1655  0.09
Rosen 1989   49  0.5345  0.0047  0.0560  0.0555  0.0570  0.05
Rosenthal 1930   82  0.4065  0.0075  0.0473  0.0436  0.2352  0.10
Rosenthal 1931   84  0.3342  0.0084  0.0383  0.0341  0.1661  0.07
Rosenthal 1931b   85  0.3285  0.0085  0.0376  0.0348  0.0680  0.04
Rosenthal 1931c   83  0.3489  0.0083  0.0386  0.0345  0.0681  0.04
Rosenthal 1931d   87  0.2970  0.0086  0.0387  0.0369  0.0488  0.03
Rossi 2007   76  0.4371  0.0082  0.0377  0.0357  0.0574  0.04
Rubinstein 1939   29  0.5837  0.0026  0.0729  0.2924  0.3626  0.32
Rubinstein 1952   15  0.622  0.182  0.276  0.626  0.633  0.62
Rubinstein 1966   1  0.711  0.221  0.222  0.755  0.652  0.70
Schilhawsky 1960   42  0.5428  0.0040  0.0638  0.1936  0.2039  0.19
Shebanova 2002   5  0.656  0.074  0.193  0.7010  0.544  0.61
Smith 1975   43  0.5454  0.0048  0.0555  0.0536  0.2150  0.10
Sokolov 2002   63  0.4955  0.0054  0.0650  0.0656  0.0566  0.05
Sztompka 1959   32  0.5739  0.0036  0.0633  0.2368  0.0451  0.10
Tomsic 1995   55  0.5280  0.0033  0.0741  0.1313  0.5434  0.26
Uninsky 1932   72  0.4459  0.0073  0.0378  0.0368  0.0486  0.03
Uninsky 1971   67  0.4660  0.0064  0.0467  0.0451  0.0668  0.05
Wasowski 1980   34  0.5723  0.0041  0.0639  0.1844  0.1142  0.14
Zak 1937   13  0.637  0.079  0.1112  0.5226  0.3814  0.44
Zak 1951   12  0.6325  0.0010  0.208  0.5724  0.419  0.48
Random 1   90  -0.1740  0.0090  0.0190  0.0189  0.0190  0.01
Random 2   88  -0.0484  0.0088  0.0189  0.0168  0.0389  0.02
Random 3   89  -0.1190  0.0089  0.0288  0.0260  0.0487  0.03

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).