Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.3162  0.0065  0.0478  0.0463  0.0478  0.04
Anderszewski 2003   78  0.1754  0.0078  0.0561  0.0575  0.0475  0.04
Ashkenazy 1981   12  0.5941  0.0015  0.1514  0.7410  0.7914  0.76
Bacha 2000   79  0.1685  0.0077  0.0652  0.0666  0.0469  0.05
Badura 1965   50  0.3465  0.0061  0.0481  0.0427  0.4154  0.13
Barbosa 1983   53  0.3333  0.0056  0.0473  0.0443  0.1066  0.06
Biret 1990   80  0.1586  0.0083  0.0384  0.0372  0.0485  0.03
Blet 2003   21  0.5439  0.0031  0.0928  0.533  0.7129  0.61
Block 1995   11  0.6042  0.008  0.188  0.801  0.8110  0.80
Blumental 1952   60  0.3245  0.0054  0.0474  0.0430  0.3058  0.11
Boshniakovich 1969   18  0.549  0.0113  0.1815  0.726  0.6919  0.70
Brailowsky 1960   67  0.2846  0.0063  0.0476  0.0429  0.4052  0.13
Bunin 1987   41  0.4347  0.0026  0.1040  0.4016  0.5337  0.46
Bunin 1987b   40  0.4326  0.0025  0.1139  0.4115  0.5336  0.47
Chiu 1999   13  0.5858  0.0019  0.1418  0.694  0.7318  0.71
Cohen 1997   70  0.2570  0.0071  0.0556  0.0562  0.0479  0.04
Cortot 1951   62  0.3150  0.0062  0.0566  0.0528  0.4151  0.14
Csalog 1996   34  0.4755  0.0043  0.1443  0.308  0.6142  0.43
Czerny 1949   87  -0.0174  0.0087  0.0187  0.0187  0.0289  0.01
Czerny 1990   22  0.538  0.0216  0.1620  0.656  0.8317  0.73
Duchoud 2007   42  0.4259  0.0039  0.1335  0.457  0.6034  0.52
Ezaki 2006   69  0.2522  0.0069  0.0559  0.0545  0.1061  0.07
Falvay 1989   76  0.2275  0.0072  0.0480  0.0475  0.0383  0.03
Farrell 1958   72  0.2376  0.0075  0.0557  0.0559  0.0571  0.05
Ferenczy 1958   89  -0.0977  0.0089  0.0189  0.0177  0.0387  0.02
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   25  0.5256  0.0023  0.1323  0.613  0.6824  0.64
Francois 1956   77  0.2087  0.0079  0.0472  0.0464  0.0482  0.04
Friedman 1923   3  0.676  0.044  0.234  0.843  0.875  0.85
Friedman 1923b   2  0.684  0.073  0.223  0.843  0.874  0.85
Friedman 1930   8  0.6128  0.0010  0.159  0.794  0.839  0.81
Garcia 2007   39  0.4320  0.0030  0.1127  0.583  0.6827  0.63
Garcia 2007b   43  0.4038  0.0046  0.1145  0.1116  0.5945  0.25
Gierzod 1998   74  0.2229  0.0058  0.0475  0.0434  0.2659  0.10
Gornostaeva 1994   56  0.3335  0.0068  0.0563  0.0549  0.0768  0.06
Groot 1988   9  0.6130  0.0012  0.1611  0.774  0.7712  0.77
Harasiewicz 1955   26  0.5127  0.0037  0.1136  0.4518  0.4640  0.45
Hatto 1993   38  0.4523  0.0040  0.1631  0.4925  0.4338  0.46
Hatto 1997   71  0.2478  0.0074  0.0560  0.0575  0.0377  0.04
Horowitz 1949   37  0.4636  0.0041  0.1241  0.3521  0.5541  0.44
Indjic 1988   45  0.4014  0.0045  0.1046  0.1033  0.3147  0.18
Kapell 1951   47  0.3879  0.0044  0.1044  0.1925  0.3444  0.25
Kissin 1993   19  0.5421  0.0018  0.1516  0.724  0.8211  0.77
Kushner 1989   24  0.5217  0.0024  0.1125  0.606  0.7023  0.65
Luisada 1991   20  0.5424  0.0029  0.1126  0.5910  0.6825  0.63
Lushtak 2004   65  0.3064  0.0064  0.0470  0.0433  0.1860  0.08
Malcuzynski 1961   27  0.5137  0.0033  0.0932  0.488  0.6232  0.55
Magaloff 1978   7  0.635  0.065  0.257  0.811  0.846  0.82
Magin 1975   33  0.4932  0.0032  0.1029  0.5111  0.7328  0.61
Michalowski 1933   29  0.5018  0.0036  0.1238  0.4313  0.5335  0.48
Milkina 1970   85  0.0463  0.0085  0.0385  0.0384  0.0286  0.02
Mohovich 1999   59  0.3243  0.0057  0.0477  0.0447  0.0867  0.06
Moravec 1969   52  0.3457  0.0051  0.0750  0.0752  0.0563  0.06
Morozova 2008   32  0.4940  0.0020  0.1422  0.633  0.7121  0.67
Neighaus 1950   36  0.4649  0.0034  0.1033  0.4818  0.4239  0.45
Niedzielski 1931   30  0.4948  0.0027  0.1224  0.618  0.6526  0.63
Ohlsson 1999   17  0.5516  0.0021  0.1419  0.664  0.6722  0.66
Osinska 1989   46  0.3912  0.0147  0.0947  0.0923  0.5246  0.22
Pachmann 1927   10  0.6113  0.0114  0.2210  0.782  0.858  0.81
Paderewski 1930   23  0.5351  0.0022  0.1621  0.654  0.7420  0.69
Perlemuter 1992   4  0.663  0.076  0.365  0.831  0.882  0.85
Pierdomenico 2008   31  0.4931  0.0038  0.1137  0.445  0.6831  0.55
Poblocka 1999   16  0.567  0.039  0.1517  0.691  0.8015  0.74
Rabcewiczowa 1932   81  0.1471  0.0084  0.0382  0.0371  0.0384  0.03
Rachmaninoff 1923   35  0.4615  0.0028  0.0934  0.4714  0.6830  0.57
Rangell 2001   44  0.4011  0.0142  0.1342  0.329  0.5243  0.41
Richter 1976   1  0.711  0.431  0.421  0.862  0.891  0.87
Rosen 1989   14  0.5819  0.0011  0.1412  0.762  0.7613  0.76
Rosenthal 1930   58  0.3352  0.0066  0.0467  0.0434  0.3556  0.12
Rosenthal 1931   83  0.0861  0.0081  0.0479  0.0464  0.0474  0.04
Rosenthal 1931b   82  0.0966  0.0080  0.0386  0.0356  0.0581  0.04
Rosenthal 1931c   68  0.2725  0.0059  0.0471  0.0428  0.4455  0.13
Rosenthal 1931d   84  0.0568  0.0082  0.0564  0.0561  0.0480  0.04
Rossi 2007   73  0.2272  0.0070  0.0565  0.0517  0.4349  0.15
Rubinstein 1939   75  0.2269  0.0073  0.0653  0.0656  0.0664  0.06
Rubinstein 1952   49  0.3544  0.0050  0.0849  0.0833  0.2850  0.15
Rubinstein 1966   57  0.3373  0.0055  0.0558  0.0569  0.0476  0.04
Schilhawsky 1960   54  0.3388  0.0053  0.0562  0.0529  0.3453  0.13
Shebanova 2002   5  0.652  0.172  0.322  0.853  0.863  0.85
Smith 1975   66  0.2867  0.0076  0.0655  0.0667  0.0470  0.05
Sokolov 2002   48  0.3760  0.0048  0.0948  0.0933  0.2948  0.16
Sztompka 1959   6  0.6510  0.017  0.156  0.821  0.837  0.82
Tomsic 1995   64  0.3080  0.0060  0.0469  0.0465  0.0473  0.04
Uninsky 1932   15  0.5634  0.0017  0.1813  0.756  0.7316  0.74
Uninsky 1971   55  0.3381  0.0049  0.0651  0.0648  0.0765  0.06
Wasowski 1980   28  0.5053  0.0035  0.1030  0.5018  0.5733  0.53
Zak 1937   51  0.3489  0.0052  0.0654  0.0638  0.1957  0.11
Zak 1951   63  0.3082  0.0067  0.0468  0.0448  0.0672  0.05
Random 1   86  0.0283  0.0086  0.0383  0.0338  0.1662  0.07
Random 2   90  -0.0990  0.0090  0.0190  0.0188  0.0190  0.01
Random 3   88  -0.0284  0.0088  0.0188  0.0168  0.0388  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).