Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.2161  0.0060  0.0362  0.0356  0.0560  0.04
Ashkenazy 1981   33  0.394  0.0340  0.1035  0.1031  0.1234  0.11
Beliavsky 2004   57  0.2445  0.0058  0.0363  0.0344  0.0748  0.05
BenOr 1989   3  0.5925  0.004  0.423  0.7211  0.655  0.68
Biret 1990   31  0.3937  0.0027  0.0927  0.3741  0.0632  0.15
Blet 2003   23  0.4259  0.0024  0.1823  0.4624  0.3522  0.40
Block 1995   26  0.4140  0.0029  0.0929  0.3438  0.0731  0.15
Brailowsky 1960   7  0.5428  0.008  0.3312  0.6312  0.6210  0.62
Chiu 1999   28  0.4021  0.0031  0.1530  0.3316  0.4225  0.37
Clidat 1994   49  0.3156  0.0050  0.0552  0.0554  0.0549  0.05
Cohen 1997   62  0.2023  0.0062  0.0557  0.0543  0.0652  0.05
Coop 1987   32  0.3962  0.0028  0.1228  0.3535  0.0929  0.18
Cortot 1951   60  0.2154  0.0063  0.0554  0.0543  0.0655  0.05
Czerny 1949   9  0.5210  0.019  0.186  0.696  0.714  0.70
Czerny 1949b   11  0.496  0.0216  0.197  0.686  0.733  0.70
Ezaki 2006   2  0.611  0.491  0.488  0.678  0.666  0.66
Falvay 1989   25  0.4117  0.0021  0.1421  0.5025  0.3520  0.42
Ferenczy 1958   30  0.4052  0.0020  0.2720  0.5419  0.5219  0.53
Fiorentino 1962   22  0.4249  0.0026  0.1126  0.4225  0.3524  0.38
Fliere 1977   39  0.3532  0.0038  0.0838  0.0836  0.0737  0.07
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   48  0.3216  0.0039  0.0839  0.0837  0.0741  0.07
Hatto 1997   55  0.2536  0.0056  0.0553  0.0561  0.0359  0.04
Horowitz 1971   50  0.3147  0.0035  0.0740  0.0759  0.0453  0.05
Horowitz 1985   53  0.2857  0.0034  0.0743  0.0752  0.0738  0.07
Indjic 2001   58  0.2442  0.0057  0.0555  0.0564  0.0363  0.04
Kapell 1951   13  0.4815  0.0015  0.2211  0.634  0.6211  0.62
Kiepura 1999   19  0.4448  0.0023  0.1424  0.4521  0.2626  0.34
Kilenyi 1937   17  0.4622  0.0012  0.1613  0.6113  0.6112  0.61
Kissin 1993   51  0.297  0.0252  0.0459  0.0451  0.0458  0.04
Kitain 1937   56  0.2464  0.0055  0.0645  0.0644  0.0646  0.06
Kushner 1990   10  0.518  0.017  0.274  0.725  0.741  0.73
Levy 1951   21  0.4213  0.0119  0.1817  0.577  0.6113  0.59
Luisada 1990   16  0.4619  0.0022  0.1422  0.475  0.6716  0.56
Lushtak 2004   52  0.2826  0.0053  0.0458  0.0451  0.0561  0.04
Lympany 1968   59  0.2358  0.0059  0.0361  0.0348  0.0556  0.04
Magaloff 1977   40  0.3529  0.0044  0.0647  0.0638  0.0644  0.06
Magaloff 1977b   41  0.3430  0.0045  0.0742  0.0731  0.1733  0.11
Magin 1975   8  0.5324  0.0010  0.2410  0.6513  0.619  0.63
Milkina 1970   35  0.3755  0.0033  0.0936  0.0946  0.0639  0.07
Mohovich 1999   63  0.1760  0.0061  0.0360  0.0354  0.0564  0.04
Nadelmann 1956   27  0.4151  0.0032  0.0932  0.1759  0.0436  0.08
Ohlsson 1999   37  0.3620  0.0041  0.1034  0.1061  0.0443  0.06
Olejniczac 1990   24  0.4112  0.0125  0.1125  0.4425  0.3723  0.40
Olejniczak 1991   29  0.4033  0.0030  0.1031  0.3026  0.2028  0.24
Osinska 1989   6  0.5514  0.006  0.345  0.6912  0.618  0.65
Paderewski 1912   47  0.3227  0.0049  0.0648  0.0655  0.0450  0.05
Perahia 1994   42  0.3431  0.0048  0.0551  0.0559  0.0462  0.04
Perlemuter 1986   36  0.3639  0.0037  0.0937  0.0955  0.0540  0.07
Poblocka 1999   14  0.4818  0.0011  0.1218  0.5712  0.5318  0.55
Rangell 2001   44  0.3311  0.0147  0.0646  0.0655  0.0454  0.05
Risler 1920   34  0.3834  0.0036  0.0741  0.0713  0.4130  0.17
Rosen 1989   4  0.593  0.072  0.409  0.667  0.677  0.66
Rubinstein 1939   45  0.3241  0.0046  0.0649  0.0659  0.0357  0.04
Rubinstein 1952   15  0.489  0.0117  0.1714  0.6017  0.5317  0.56
Rubinstein 1966   18  0.4635  0.0018  0.2415  0.6026  0.2821  0.41
Rummel 1943   46  0.3238  0.0051  0.0650  0.0647  0.0551  0.05
Shebanova 2002   12  0.4846  0.0013  0.1616  0.6011  0.5515  0.57
Smith 1975   38  0.3643  0.0043  0.0744  0.0750  0.0542  0.06
Szpilman 1948   20  0.4350  0.0014  0.1819  0.5613  0.5914  0.57
Uninsky 1971   43  0.3453  0.0042  0.1233  0.1233  0.0735  0.09
Wasowski 1980   5  0.585  0.025  0.282  0.742  0.712  0.72
Weissenberg 1971   54  0.2544  0.0054  0.0556  0.0555  0.0547  0.05
Average   1  0.632  0.243  0.381  0.8538  0.0827  0.26
Random 1    65  0.0065  0.0065  0.0264  0.0251  0.0365  0.02
Random 2   66  -0.0666  0.0066  0.0166  0.0162  0.0366  0.02
Random 3   64  0.0463  0.0064  0.0265  0.0225  0.1945  0.06

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).