Magaloff 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   46  0.3727  0.0049  0.0649  0.0661  0.0364  0.04
Ax 1995   7  0.5033  0.0013  0.1612  0.5151  0.0715  0.19
Bacha 1998   54  0.3334  0.0052  0.0650  0.0637  0.0839  0.07
Barbosa 1983   28  0.4336  0.0033  0.0652  0.0651  0.0646  0.06
BenOr 1989   38  0.4137  0.0041  0.0840  0.0854  0.0641  0.07
Biret 1990   19  0.4531  0.0024  0.1322  0.3548  0.0720  0.16
Brailowsky 1960   1  0.592  0.262  0.512  0.7749  0.077  0.23
Chiu 1999   57  0.2951  0.0057  0.0463  0.0457  0.0458  0.04
Clidat 1994   30  0.4348  0.0038  0.0937  0.0936  0.0735  0.08
Cohen 1997   63  0.1065  0.0063  0.0462  0.0463  0.0366  0.03
Cortot 1951   53  0.3335  0.0056  0.0557  0.0532  0.1238  0.08
Csalog 1996   40  0.4049  0.0040  0.0743  0.0758  0.0547  0.06
Czerny 1989   15  0.4663  0.0018  0.1019  0.4053  0.0523  0.14
Ezaki 2006   8  0.5015  0.0114  0.167  0.6148  0.0612  0.19
Falvay 1989   10  0.4944  0.0012  0.1110  0.5440  0.099  0.22
Fiorentino 1962   4  0.5421  0.004  0.324  0.7145  0.086  0.24
Fliere 1977   39  0.4016  0.0129  0.0729  0.2061  0.0430  0.09
Fou 1978   11  0.484  0.036  0.145  0.6854  0.0517  0.18
Francois 1956   20  0.455  0.0311  0.1115  0.4742  0.0816  0.19
Goldenweiser 1946   26  0.446  0.039  0.1118  0.4018  0.452  0.42
Gornostaeva 1994   34  0.4210  0.0131  0.0731  0.1536  0.0729  0.10
Groot 1988   5  0.538  0.015  0.146  0.6646  0.0711  0.21
Hatto 1993   32  0.4342  0.0035  0.0936  0.0963  0.0453  0.06
Hatto 1997   43  0.3841  0.0047  0.0744  0.0762  0.0549  0.06
Horszowski 1983   59  0.2845  0.0059  0.0747  0.0741  0.0542  0.06
Indjic 2001   42  0.3953  0.0044  0.0741  0.0757  0.0552  0.06
Katin 1996   49  0.3552  0.0039  0.0554  0.0561  0.0459  0.04
Kiepura 1999   16  0.4628  0.0015  0.1217  0.4254  0.0521  0.14
Korecka 1992   18  0.4519  0.0025  0.0927  0.2347  0.0822  0.14
Kushner 1990   36  0.4256  0.0037  0.0935  0.0958  0.0540  0.07
Lilamand 2001   61  0.2524  0.0061  0.0651  0.0633  0.0748  0.06
Luisada 1990   23  0.4518  0.0021  0.0921  0.3653  0.0719  0.16
Luisada 2008   48  0.3612  0.0151  0.0742  0.0753  0.0650  0.06
Lushtak 2004   12  0.4811  0.0120  0.1420  0.3959  0.0525  0.14
Malcuzynski 1951   3  0.549  0.013  0.293  0.7546  0.078  0.23
Malcuzynski 1961   2  0.551  0.431  0.421  0.7948  0.075  0.24
Magaloff 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   31  0.4326  0.0036  0.1033  0.1047  0.0832  0.09
Meguri 1997   50  0.3422  0.0048  0.0745  0.0744  0.0545  0.06
Milkina 1970   45  0.3866  0.0042  0.0938  0.0962  0.0443  0.06
Mohovich 1999   52  0.3361  0.0053  0.0556  0.0562  0.0362  0.04
Nezu 2005   29  0.4330  0.0034  0.0839  0.0842  0.0936  0.08
Ohlsson 1999   44  0.3864  0.0046  0.0653  0.0652  0.0556  0.05
Olejniczak 1990   9  0.507  0.028  0.129  0.5942  0.0810  0.22
Osinska 1989   47  0.3639  0.0050  0.0555  0.0563  0.0457  0.04
Perlemuter 1992   62  0.2558  0.0062  0.0648  0.0655  0.0454  0.05
Poblocka 1999   41  0.3929  0.0032  0.0732  0.1349  0.0631  0.09
Rangell 2001   60  0.2846  0.0060  0.0558  0.0562  0.0465  0.04
Richter 1960   13  0.4843  0.0017  0.1314  0.4911  0.511  0.50
Richter 1961   33  0.4220  0.0023  0.1124  0.2919  0.343  0.31
Rosen 1989   17  0.4614  0.0122  0.0923  0.3445  0.0626  0.14
Rubinstein 1939   14  0.4750  0.0010  0.1211  0.5250  0.0713  0.19
Rubinstein 1952   35  0.4247  0.0027  0.0926  0.2951  0.0627  0.13
Rubinstein 1966   24  0.4423  0.0028  0.1025  0.2948  0.0724  0.14
Rudanovskaya 2007   55  0.3054  0.0058  0.0460  0.0462  0.0461  0.04
Shebanova 2002   56  0.3055  0.0054  0.0459  0.0453  0.0460  0.04
Smith 1975   6  0.5117  0.017  0.168  0.5935  0.104  0.24
Sztompka 1959   51  0.3360  0.0055  0.0461  0.0444  0.0844  0.06
Tanyel 1992   25  0.4413  0.0130  0.0830  0.1758  0.0533  0.09
Tsujii 2005   22  0.4559  0.0019  0.1416  0.4551  0.0718  0.18
Uninsky 1959   37  0.4232  0.0043  0.1034  0.1049  0.0634  0.08
Vardi 1988   58  0.2938  0.0045  0.0746  0.0758  0.0455  0.05
Wasowski 1980   21  0.4525  0.0026  0.0828  0.2043  0.0728  0.12
Zimerman 1975   27  0.443  0.0416  0.1213  0.5048  0.0714  0.19
Random 1   64  0.0040  0.0064  0.0264  0.0212  0.3137  0.08
Random 2   66  -0.0157  0.0066  0.0166  0.0114  0.3851  0.06
Random 3   65  0.0062  0.0065  0.0265  0.0229  0.1063  0.04

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).