Biret 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.7132  0.0048  0.0458  0.0419  0.3054  0.11
Ashkenazy 1981   9  0.8436  0.0010  0.157  0.662  0.678  0.66
Beliavsky 2004   42  0.729  0.0146  0.0836  0.0816  0.3145  0.16
BenOr 1989   14  0.8250  0.0022  0.1416  0.5010  0.5618  0.53
Biret 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Blet 2003   45  0.7149  0.0051  0.0741  0.0719  0.2650  0.13
Block 1995   22  0.7921  0.0033  0.1133  0.1113  0.4834  0.23
Brailowsky 1960   53  0.6856  0.0053  0.0552  0.0543  0.0759  0.06
Chiu 1999   20  0.7952  0.0025  0.0923  0.3712  0.5025  0.43
Clidat 1994   36  0.7522  0.0040  0.0553  0.0514  0.4249  0.14
Cohen 1997   48  0.715  0.0149  0.0551  0.0515  0.3351  0.13
Coop 1987   15  0.8262  0.0020  0.1420  0.4411  0.5719  0.50
Cortot 1951   19  0.8057  0.0028  0.1325  0.362  0.6920  0.50
Czerny 1949   28  0.7844  0.0029  0.1327  0.287  0.6326  0.42
Czerny 1949b   44  0.7258  0.0034  0.0738  0.0712  0.4938  0.19
Ezaki 2006   4  0.8720  0.003  0.265  0.674  0.732  0.70
Falvay 1989   21  0.7931  0.0032  0.1131  0.2114  0.4931  0.32
Ferenczy 1958   60  0.6037  0.0060  0.0557  0.0537  0.0562  0.05
Fiorentino 1962   13  0.836  0.019  0.189  0.656  0.716  0.68
Fliere 1977   25  0.798  0.0130  0.1129  0.277  0.6228  0.41
Fou 1978   18  0.8023  0.0018  0.1018  0.468  0.5321  0.49
Francois 1956   63  0.3959  0.0063  0.0550  0.0544  0.0663  0.05
Hatto 1997   39  0.7455  0.0045  0.0740  0.0715  0.4044  0.17
Horowitz 1971   54  0.6511  0.0054  0.0554  0.0524  0.2257  0.10
Horowitz 1985   61  0.5965  0.0058  0.0462  0.0418  0.3353  0.11
Indjic 2001   31  0.7748  0.0037  0.0737  0.0714  0.4442  0.18
Kapell 1951   7  0.8439  0.007  0.1410  0.613  0.5911  0.60
Kiepura 1999   43  0.7235  0.0047  0.0460  0.048  0.5346  0.15
Kilenyi 1937   17  0.8113  0.0014  0.1413  0.538  0.6712  0.60
Kissin 1993   6  0.852  0.024  0.244  0.673  0.713  0.69
Kitain 1937   62  0.5424  0.0062  0.0642  0.0626  0.2652  0.12
Kushner 1990   50  0.6926  0.0050  0.0647  0.066  0.6435  0.20
Levy 1951   23  0.7941  0.0017  0.1017  0.466  0.6615  0.55
Luisada 1990   11  0.8414  0.0013  0.1414  0.525  0.6813  0.59
Lushtak 2004   40  0.7416  0.0043  0.0646  0.063  0.6536  0.20
Lympany 1968   49  0.7046  0.0052  0.0739  0.0710  0.5037  0.19
Magaloff 1977   30  0.7866  0.0023  0.0922  0.3918  0.4627  0.42
Magaloff 1977b   29  0.7860  0.0024  0.1221  0.4018  0.4823  0.44
Magin 1975   16  0.8154  0.0027  0.0924  0.3611  0.5722  0.45
Milkina 1970   32  0.774  0.0115  0.1030  0.257  0.5130  0.36
Mohovich 1999   33  0.7634  0.0036  0.0834  0.0816  0.4739  0.19
Nadelmann 1956   41  0.7427  0.0042  0.0644  0.0615  0.3847  0.15
Ohlsson 1999   34  0.7661  0.0035  0.0835  0.082  0.6633  0.23
Olejniczac 1990   5  0.8517  0.006  0.146  0.677  0.695  0.68
Olejniczak 1991   12  0.8415  0.008  0.1612  0.547  0.5716  0.55
Osinska 1989   10  0.843  0.0111  0.158  0.665  0.659  0.65
Paderewski 1912   52  0.6845  0.0044  0.0643  0.0612  0.5441  0.18
Perahia 1994   58  0.6140  0.0055  0.0555  0.0518  0.2455  0.11
Perlemuter 1986   57  0.627  0.0161  0.0556  0.0545  0.0760  0.06
Poblocka 1999   3  0.8712  0.005  0.262  0.703  0.664  0.68
Rangell 2001   8  0.8418  0.0012  0.1711  0.604  0.6710  0.63
Risler 1920   51  0.6847  0.0041  0.0648  0.065  0.5143  0.17
Rosen 1989   55  0.6528  0.0057  0.0463  0.0431  0.1158  0.07
Rubinstein 1939   56  0.6338  0.0056  0.0461  0.0437  0.0761  0.05
Rubinstein 1952   35  0.7629  0.0016  0.1228  0.275  0.5929  0.40
Rubinstein 1966   47  0.7151  0.0039  0.0649  0.0618  0.3848  0.15
Rummel 1943   59  0.6142  0.0059  0.0459  0.0443  0.0564  0.04
Shebanova 2002   37  0.7533  0.0038  0.0645  0.069  0.5340  0.18
Smith 1975   24  0.7953  0.0019  0.1115  0.525  0.6214  0.57
Szpilman 1948   26  0.7925  0.0021  0.1319  0.444  0.6517  0.53
Uninsky 1971   38  0.7530  0.0031  0.1032  0.1917  0.4132  0.28
Wasowski 1980   27  0.7843  0.0026  0.0926  0.3512  0.5324  0.43
Weissenberg 1971   2  0.8710  0.012  0.303  0.693  0.667  0.67
Average   1  0.911  0.841  0.831  0.903  0.691  0.79
Random 1    66  -0.0263  0.0065  0.0265  0.0238  0.0565  0.03
Random 2   64  0.0419  0.0064  0.0364  0.039  0.3656  0.10
Random 3   65  -0.0264  0.0066  0.0166  0.0140  0.0566  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).