Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.7449  0.0042  0.0544  0.1023  0.2745  0.16
Anderszewski 2003   69  0.5755  0.0072  0.0462  0.0457  0.0479  0.04
Ashkenazy 1981   40  0.7020  0.0132  0.0626  0.2325  0.3035  0.26
Bacha 2000   70  0.5672  0.0074  0.0380  0.0345  0.0772  0.05
Badura 1965   60  0.6165  0.0044  0.0642  0.127  0.5337  0.25
Barbosa 1983   55  0.638  0.047  0.1022  0.274  0.5218  0.37
Biret 1990   19  0.7682  0.0039  0.0439  0.1318  0.3043  0.20
Blet 2003   17  0.7622  0.0129  0.0719  0.314  0.5216  0.40
Block 1995   62  0.6026  0.0164  0.0469  0.0430  0.2364  0.10
Blumental 1952   82  0.3858  0.0083  0.0377  0.0368  0.0387  0.03
Boshniakovich 1969   15  0.7614  0.0212  0.1010  0.412  0.596  0.49
Brailowsky 1960   33  0.7263  0.0051  0.0553  0.0513  0.3946  0.14
Bunin 1987   36  0.7168  0.0024  0.0438  0.1419  0.3740  0.23
Bunin 1987b   35  0.7131  0.0023  0.0536  0.1419  0.3839  0.23
Chiu 1999   52  0.6423  0.0110  0.089  0.411  0.615  0.50
Cohen 1997   84  0.3464  0.0077  0.0384  0.0343  0.1171  0.06
Cortot 1951   64  0.5973  0.0082  0.0458  0.0456  0.0583  0.04
Csalog 1996   72  0.5343  0.0073  0.0381  0.0322  0.3758  0.11
Czerny 1949   49  0.6687  0.0058  0.0472  0.0447  0.0674  0.05
Czerny 1990   7  0.8045  0.0022  0.0616  0.3415  0.3321  0.33
Duchoud 2007   27  0.7315  0.0234  0.0730  0.1922  0.4032  0.28
Ezaki 2006   3  0.839  0.035  0.127  0.449  0.4610  0.45
Falvay 1989   20  0.7546  0.0016  0.0817  0.3213  0.3919  0.35
Farrell 1958   41  0.6974  0.0052  0.0555  0.0514  0.2853  0.12
Ferenczy 1958   73  0.5288  0.0084  0.0375  0.0356  0.0485  0.03
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   25  0.741  0.261  0.261  0.582  0.582  0.58
Francois 1956   30  0.7241  0.0028  0.0527  0.2321  0.2936  0.26
Friedman 1923   87  0.1127  0.0187  0.0287  0.0253  0.0689  0.03
Friedman 1923b   86  0.1237  0.0086  0.0286  0.0254  0.0688  0.03
Friedman 1930   83  0.3810  0.0368  0.0376  0.0334  0.1869  0.07
Garcia 2007   77  0.4444  0.0081  0.0466  0.0446  0.0581  0.04
Garcia 2007b   85  0.2583  0.0085  0.0470  0.0446  0.0675  0.05
Gierzod 1998   32  0.7251  0.0048  0.0647  0.0635  0.1763  0.10
Gornostaeva 1994   4  0.8342  0.009  0.0811  0.407  0.4612  0.43
Groot 1988   8  0.806  0.0415  0.0712  0.397  0.4911  0.44
Harasiewicz 1955   67  0.5935  0.0020  0.0624  0.2417  0.3429  0.29
Hatto 1993   78  0.4448  0.0061  0.0468  0.0425  0.2266  0.09
Hatto 1997   75  0.4875  0.0063  0.0548  0.0533  0.1565  0.09
Horowitz 1949   50  0.6657  0.0045  0.0646  0.068  0.4244  0.16
Indjic 1988   76  0.4571  0.0062  0.0459  0.0425  0.2661  0.10
Kapell 1951   46  0.6825  0.0166  0.0467  0.0443  0.1168  0.07
Kissin 1993   10  0.785  0.046  0.124  0.474  0.603  0.53
Kushner 1989   5  0.8212  0.0211  0.085  0.453  0.528  0.48
Luisada 1991   38  0.7128  0.0033  0.0633  0.188  0.4330  0.28
Lushtak 2004   42  0.6936  0.0021  0.0521  0.2817  0.3722  0.32
Malcuzynski 1961   2  0.857  0.044  0.146  0.457  0.509  0.47
Magaloff 1978   1  0.854  0.063  0.122  0.571  0.611  0.59
Magin 1975   51  0.6559  0.0053  0.0552  0.0522  0.2456  0.11
Michalowski 1933   80  0.3967  0.0071  0.0378  0.0361  0.0577  0.04
Milkina 1970   21  0.7561  0.0030  0.0625  0.237  0.4620  0.33
Mohovich 1999   9  0.7977  0.0027  0.0623  0.2413  0.4025  0.31
Moravec 1969   59  0.6269  0.0067  0.0373  0.0335  0.1470  0.06
Morozova 2008   39  0.7113  0.0214  0.0713  0.383  0.4414  0.41
Neighaus 1950   6  0.813  0.072  0.113  0.5310  0.524  0.52
Niedzielski 1931   71  0.5566  0.0080  0.0385  0.0352  0.0484  0.03
Ohlsson 1999   13  0.7729  0.0038  0.0434  0.1713  0.4233  0.27
Osinska 1989   16  0.7650  0.0043  0.0643  0.1211  0.3841  0.21
Pachmann 1927   68  0.5932  0.0026  0.0435  0.176  0.5724  0.31
Paderewski 1930   47  0.6853  0.0065  0.0471  0.0417  0.2660  0.10
Perlemuter 1992   48  0.6718  0.0125  0.0428  0.2020  0.3434  0.26
Pierdomenico 2008   23  0.7438  0.0031  0.0632  0.184  0.4827  0.29
Poblocka 1999   18  0.7619  0.0146  0.0549  0.0520  0.3350  0.13
Rabcewiczowa 1932   57  0.6378  0.0069  0.0463  0.0448  0.0673  0.05
Rachmaninoff 1923   56  0.6333  0.0041  0.0440  0.1317  0.3342  0.21
Rangell 2001   11  0.782  0.088  0.098  0.421  0.587  0.49
Richter 1976   53  0.6454  0.0054  0.0550  0.0522  0.2357  0.11
Rosen 1989   26  0.7317  0.0235  0.0729  0.209  0.5123  0.32
Rosenthal 1930   43  0.6856  0.0057  0.0460  0.0422  0.3854  0.12
Rosenthal 1931   61  0.6180  0.0055  0.0551  0.0512  0.4247  0.14
Rosenthal 1931b   66  0.5989  0.0056  0.0554  0.0513  0.4148  0.14
Rosenthal 1931c   34  0.7170  0.0040  0.0541  0.1211  0.4738  0.24
Rosenthal 1931d   54  0.6384  0.0060  0.0464  0.0412  0.3755  0.12
Rossi 2007   81  0.3981  0.0075  0.0379  0.0324  0.1867  0.07
Rubinstein 1939   79  0.4452  0.0078  0.0374  0.0311  0.4652  0.12
Rubinstein 1952   45  0.6847  0.0059  0.0465  0.0414  0.5049  0.14
Rubinstein 1966   31  0.7216  0.0237  0.0537  0.145  0.6028  0.29
Schilhawsky 1960   44  0.6879  0.0049  0.0457  0.0430  0.2362  0.10
Shebanova 2002   28  0.7311  0.0336  0.0531  0.188  0.5026  0.30
Smith 1975   12  0.7776  0.0019  0.0520  0.3019  0.2631  0.28
Sokolov 2002   22  0.7539  0.0047  0.0645  0.0636  0.2451  0.12
Sztompka 1959   58  0.6230  0.0070  0.0461  0.0460  0.0576  0.04
Tomsic 1995   14  0.7721  0.0117  0.0714  0.3712  0.4415  0.40
Uninsky 1932   74  0.5234  0.0079  0.0383  0.0363  0.0486  0.03
Uninsky 1971   65  0.5960  0.0076  0.0382  0.0352  0.0578  0.04
Wasowski 1980   63  0.6062  0.0050  0.0556  0.0525  0.2259  0.10
Zak 1937   29  0.7240  0.0018  0.0818  0.316  0.4817  0.39
Zak 1951   37  0.7124  0.0113  0.0815  0.3510  0.4713  0.41
Random 1   88  -0.0285  0.0089  0.0189  0.0141  0.1582  0.04
Random 2   90  -0.0586  0.0088  0.0188  0.0139  0.1380  0.04
Random 3   89  -0.0490  0.0090  0.0190  0.0182  0.0290  0.01

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).