Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.8738  0.004  0.145  0.496  0.5211  0.50
Anderszewski 2003   15  0.816  0.0227  0.1126  0.274  0.4827  0.36
Ashkenazy 1981   48  0.7181  0.0024  0.0725  0.2811  0.4628  0.36
Bacha 2000   70  0.6061  0.0062  0.0553  0.0526  0.2067  0.10
Badura 1965   45  0.7322  0.0041  0.0445  0.1313  0.5341  0.26
Barbosa 1983   78  0.5386  0.0074  0.0474  0.0437  0.1276  0.07
Biret 1990   57  0.6516  0.0159  0.0464  0.0432  0.1969  0.09
Blet 2003   27  0.7863  0.0037  0.0529  0.221  0.5329  0.34
Block 1995   67  0.6230  0.0021  0.0938  0.164  0.4438  0.27
Blumental 1952   68  0.6148  0.0057  0.0468  0.0466  0.0486  0.04
Boshniakovich 1969   11  0.8211  0.0118  0.1014  0.417  0.5715  0.48
Brailowsky 1960   55  0.698  0.0249  0.0556  0.0512  0.4348  0.15
Bunin 1987   74  0.5587  0.0070  0.0476  0.0422  0.4058  0.13
Bunin 1987b   75  0.5469  0.0069  0.0467  0.0422  0.4055  0.13
Chiu 1999   69  0.6159  0.0058  0.0460  0.0445  0.1273  0.07
Cohen 1997   88  0.3788  0.0081  0.0385  0.0347  0.0687  0.04
Cortot 1951   41  0.7467  0.0046  0.0554  0.0511  0.4750  0.15
Csalog 1996   82  0.4712  0.0173  0.0383  0.0342  0.1279  0.06
Czerny 1949   7  0.8349  0.0015  0.1115  0.415  0.5714  0.48
Czerny 1990   23  0.7946  0.0040  0.0542  0.1524  0.2845  0.20
Duchoud 2007   71  0.6032  0.0056  0.0551  0.057  0.4849  0.15
Ezaki 2006   32  0.7815  0.0143  0.0444  0.1420  0.3844  0.23
Falvay 1989   86  0.4457  0.0088  0.0469  0.0456  0.0682  0.05
Farrell 1958   59  0.6575  0.0060  0.0466  0.0445  0.1274  0.07
Ferenczy 1958   54  0.6958  0.0066  0.0552  0.0519  0.3457  0.13
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   50  0.7023  0.0036  0.0441  0.1512  0.4539  0.26
Francois 1956   63  0.6370  0.0075  0.0459  0.0440  0.1277  0.07
Friedman 1923   29  0.7864  0.0033  0.0536  0.1921  0.4536  0.29
Friedman 1923b   28  0.7865  0.0031  0.0635  0.2020  0.4733  0.31
Friedman 1930   31  0.7831  0.0044  0.0543  0.1414  0.4940  0.26
Garcia 2007   30  0.7871  0.0030  0.0528  0.266  0.5625  0.38
Garcia 2007b   39  0.7450  0.0032  0.0727  0.278  0.5426  0.38
Gierzod 1998   2  0.8810  0.012  0.162  0.575  0.652  0.61
Gornostaeva 1994   53  0.6935  0.0051  0.0646  0.0612  0.3553  0.14
Groot 1988   66  0.6229  0.0061  0.0457  0.0417  0.4059  0.13
Harasiewicz 1955   21  0.7944  0.0023  0.0919  0.3811  0.4422  0.41
Hatto 1993   19  0.805  0.039  0.1110  0.466  0.588  0.52
Hatto 1997   13  0.812  0.058  0.119  0.467  0.5610  0.51
Horowitz 1949   47  0.7236  0.0047  0.0550  0.055  0.5447  0.16
Indjic 1988   12  0.8242  0.0010  0.198  0.467  0.569  0.51
Kapell 1951   34  0.7713  0.0116  0.1312  0.433  0.4518  0.44
Kissin 1993   18  0.8051  0.0014  0.1013  0.429  0.5117  0.46
Kushner 1989   20  0.8037  0.0039  0.0632  0.2119  0.4334  0.30
Luisada 1991   10  0.8217  0.0111  0.1411  0.463  0.653  0.55
Lushtak 2004   42  0.7443  0.0042  0.0537  0.1813  0.3443  0.25
Malcuzynski 1961   72  0.5784  0.0076  0.0471  0.0442  0.1475  0.07
Magaloff 1978   62  0.6318  0.0163  0.0463  0.0422  0.3061  0.11
Magin 1975   26  0.7821  0.0025  0.0823  0.3510  0.5021  0.42
Michalowski 1933   49  0.7147  0.0055  0.0549  0.0518  0.4252  0.14
Milkina 1970   44  0.7372  0.0050  0.0462  0.0426  0.3263  0.11
Mohovich 1999   46  0.7226  0.0052  0.0458  0.0429  0.3560  0.12
Moravec 1969   84  0.4419  0.0187  0.0381  0.0362  0.0488  0.03
Morozova 2008   22  0.7973  0.0026  0.1224  0.318  0.5024  0.39
Neighaus 1950   8  0.8366  0.0013  0.1417  0.419  0.5516  0.47
Niedzielski 1931   33  0.7789  0.0045  0.0840  0.1513  0.4937  0.27
Ohlsson 1999   16  0.819  0.0212  0.1416  0.417  0.5713  0.48
Osinska 1989   9  0.8214  0.0120  0.1118  0.396  0.6012  0.48
Pachmann 1927   52  0.6956  0.0071  0.0472  0.0413  0.4256  0.13
Paderewski 1930   58  0.6578  0.0067  0.0380  0.0328  0.2768  0.09
Perlemuter 1992   40  0.7439  0.0029  0.0531  0.216  0.4830  0.32
Pierdomenico 2008   83  0.4791  0.0080  0.0386  0.0352  0.0684  0.04
Poblocka 1999   14  0.814  0.035  0.106  0.481  0.614  0.54
Rabcewiczowa 1932   61  0.6568  0.0068  0.0473  0.0444  0.0978  0.06
Rachmaninoff 1923   25  0.7820  0.0128  0.0530  0.216  0.4931  0.32
Rangell 2001   87  0.4041  0.0077  0.0382  0.0344  0.1180  0.06
Richter 1976   51  0.7052  0.0054  0.0547  0.056  0.6046  0.17
Rosen 1989   35  0.7740  0.0038  0.0534  0.2012  0.4732  0.31
Rosenthal 1930   64  0.6376  0.0072  0.0478  0.0418  0.3065  0.11
Rosenthal 1931   76  0.5485  0.0083  0.0387  0.0329  0.2370  0.08
Rosenthal 1931b   77  0.5462  0.0084  0.0477  0.0434  0.1772  0.08
Rosenthal 1931c   73  0.5677  0.0079  0.0475  0.0421  0.3266  0.11
Rosenthal 1931d   79  0.5382  0.0085  0.0465  0.0436  0.1771  0.08
Rossi 2007   81  0.4828  0.0086  0.0384  0.0370  0.0489  0.03
Rubinstein 1939   60  0.6583  0.0065  0.0548  0.0526  0.2562  0.11
Rubinstein 1952   85  0.4445  0.0078  0.0479  0.0447  0.1081  0.06
Rubinstein 1966   56  0.6853  0.0064  0.0470  0.0429  0.3164  0.11
Schilhawsky 1960   4  0.8527  0.006  0.117  0.473  0.635  0.54
Shebanova 2002   6  0.843  0.043  0.143  0.547  0.556  0.54
Smith 1975   36  0.757  0.0248  0.0461  0.044  0.5151  0.14
Sokolov 2002   65  0.6325  0.0053  0.0555  0.0519  0.3354  0.13
Sztompka 1959   5  0.8434  0.007  0.154  0.536  0.537  0.53
Tomsic 1995   80  0.4954  0.0082  0.0288  0.0247  0.0885  0.04
Uninsky 1932   38  0.7455  0.0035  0.0433  0.2018  0.4435  0.30
Uninsky 1971   37  0.7433  0.0022  0.0822  0.3622  0.4223  0.39
Wasowski 1980   43  0.7324  0.0034  0.0539  0.159  0.4342  0.25
Zak 1937   17  0.8179  0.0017  0.1120  0.386  0.5019  0.44
Zak 1951   24  0.7960  0.0019  0.1221  0.375  0.5020  0.43
Average   1  0.921  0.591  0.581  0.761  0.681  0.72
Random 1   90  -0.2374  0.0090  0.0190  0.0179  0.0291  0.01
Random 2   89  -0.1180  0.0089  0.0289  0.0234  0.1483  0.05
Random 3   91  -0.2590  0.0091  0.0191  0.0171  0.0390  0.02

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).