Perahia 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.6551  0.0022  0.1015  0.3261  0.0325  0.10
Ashkenazy 1981   31  0.6134  0.0037  0.0735  0.0756  0.0446  0.05
Beliavsky 2004   34  0.6018  0.0120  0.0824  0.2464  0.0331  0.08
BenOr 1989   26  0.6414  0.0131  0.0928  0.2040  0.0621  0.11
Biret 1990   20  0.6617  0.0116  0.1119  0.2930  0.137  0.19
Blet 2003   35  0.6066  0.0036  0.0640  0.0646  0.0540  0.05
Block 1995   61  0.3947  0.0063  0.0645  0.0653  0.0544  0.05
Brailowsky 1960   9  0.7228  0.0023  0.0722  0.2556  0.0424  0.10
Chiu 1999   63  0.3864  0.0062  0.0642  0.0664  0.0350  0.04
Clidat 1994   27  0.6324  0.0042  0.0643  0.0653  0.0542  0.05
Cohen 1997   59  0.4736  0.0035  0.0552  0.0519  0.2620  0.11
Coop 1987   57  0.4833  0.0050  0.0456  0.0462  0.0455  0.04
Cortot 1951   38  0.5748  0.0055  0.0463  0.0462  0.0365  0.03
Czerny 1949   22  0.6535  0.0024  0.0927  0.2162  0.0429  0.09
Czerny 1949b   28  0.6357  0.0032  0.0832  0.1563  0.0333  0.07
Ezaki 2006   53  0.5058  0.0058  0.0547  0.0564  0.0347  0.04
Falvay 1989   60  0.4230  0.0061  0.0555  0.0562  0.0451  0.04
Ferenczy 1958   51  0.5149  0.0034  0.0638  0.0652  0.0541  0.05
Fiorentino 1962   45  0.5646  0.0046  0.0637  0.0664  0.0359  0.04
Fliere 1977   25  0.6456  0.0026  0.0820  0.2961  0.0419  0.11
Fou 1978   39  0.5753  0.0039  0.0636  0.0663  0.0438  0.05
Francois 1956   21  0.6531  0.0021  0.0921  0.2857  0.0422  0.11
Hatto 1997   18  0.6632  0.0012  0.1513  0.4061  0.0414  0.13
Horowitz 1971   11  0.6843  0.0015  0.1017  0.3037  0.0616  0.13
Horowitz 1985   7  0.7544  0.008  0.2210  0.4312  0.492  0.46
Indjic 2001   19  0.667  0.0311  0.1112  0.4060  0.0415  0.13
Kapell 1951   48  0.5439  0.0040  0.0551  0.0562  0.0354  0.04
Kiepura 1999   41  0.5623  0.0048  0.0546  0.0559  0.0448  0.04
Kilenyi 1937   52  0.5116  0.0151  0.0553  0.0563  0.0356  0.04
Kissin 1993   46  0.5542  0.0033  0.0734  0.0753  0.0534  0.06
Kitain 1937   62  0.3937  0.0047  0.0644  0.0639  0.0637  0.06
Kushner 1990   4  0.7610  0.024  0.203  0.5950  0.0412  0.15
Levy 1951   40  0.5729  0.0028  0.0731  0.1728  0.188  0.17
Luisada 1990   29  0.6313  0.0143  0.0833  0.0857  0.0535  0.06
Lushtak 2004   30  0.6115  0.0130  0.0830  0.1851  0.0530  0.09
Lympany 1968   17  0.6625  0.0029  0.0926  0.2257  0.0428  0.09
Magaloff 1977   44  0.5659  0.0054  0.0459  0.0461  0.0457  0.04
Magaloff 1977b   43  0.5662  0.0053  0.0458  0.0449  0.0645  0.05
Magin 1975   49  0.5363  0.0056  0.0457  0.0451  0.0553  0.04
Milkina 1970   5  0.756  0.066  0.177  0.5447  0.0510  0.16
Mohovich 1999   2  0.785  0.105  0.191  0.6430  0.125  0.28
Nadelmann 1956   1  0.801  0.231  0.232  0.6014  0.343  0.45
Ohlsson 1999   56  0.4950  0.0038  0.0639  0.0661  0.0439  0.05
Olejniczac 1990   42  0.5641  0.0045  0.0548  0.0564  0.0358  0.04
Olejniczak 1991   37  0.5854  0.0041  0.0550  0.0559  0.0452  0.04
Osinska 1989   6  0.7522  0.007  0.175  0.5855  0.0411  0.15
Paderewski 1912   32  0.6155  0.0044  0.0549  0.0552  0.0543  0.05
Perahia 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1986   13  0.6819  0.0118  0.0814  0.3458  0.0417  0.12
Poblocka 1999   47  0.5440  0.0052  0.0460  0.0464  0.0361  0.03
Rangell 2001   50  0.5112  0.0149  0.0554  0.0560  0.0460  0.04
Risler 1920   54  0.4952  0.0059  0.0461  0.0459  0.0449  0.04
Rosen 1989   55  0.4921  0.0060  0.0641  0.0640  0.0636  0.06
Rubinstein 1939   3  0.763  0.113  0.364  0.596  0.591  0.59
Rubinstein 1952   24  0.6427  0.0013  0.1116  0.3264  0.0327  0.10
Rubinstein 1966   10  0.724  0.102  0.196  0.5616  0.344  0.44
Rummel 1943   15  0.6726  0.0019  0.1023  0.2551  0.0426  0.10
Shebanova 2002   33  0.608  0.0317  0.1118  0.2955  0.0518  0.12
Smith 1975   8  0.7411  0.019  0.238  0.5345  0.059  0.16
Szpilman 1948   16  0.6638  0.0025  0.0825  0.2244  0.0523  0.10
Uninsky 1971   36  0.599  0.0327  0.0829  0.1863  0.0432  0.08
Wasowski 1980   12  0.6820  0.0114  0.1111  0.4328  0.156  0.25
Weissenberg 1971   58  0.4745  0.0057  0.0462  0.0464  0.0362  0.03
Average   14  0.672  0.1210  0.129  0.4861  0.0413  0.14
Random 1    65  -0.1165  0.0065  0.0265  0.0242  0.0463  0.03
Random 2   64  0.0060  0.0064  0.0364  0.0359  0.0266  0.02
Random 3   66  -0.1361  0.0066  0.0166  0.0129  0.1064  0.03

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).