Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.3551  0.0034  0.0645  0.0624  0.2431  0.12
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Beliavsky 2004   20  0.4013  0.0118  0.0917  0.3512  0.5213  0.43
BenOr 1989   17  0.4340  0.0020  0.1420  0.3432  0.1521  0.23
Biret 1990   14  0.4430  0.0019  0.0921  0.3434  0.0727  0.15
Blet 2003   19  0.422  0.108  0.1516  0.4525  0.3414  0.39
Block 1995   48  0.2852  0.0054  0.0652  0.0661  0.0362  0.04
Brailowsky 1960   44  0.3354  0.0045  0.0553  0.0557  0.0549  0.05
Chiu 1999   33  0.3628  0.0039  0.0644  0.0651  0.0451  0.05
Clidat 1994   21  0.3916  0.0121  0.1019  0.3428  0.1819  0.25
Cohen 1997   36  0.3519  0.0024  0.0825  0.2110  0.6015  0.35
Coop 1987   7  0.4927  0.005  0.168  0.6716  0.469  0.56
Cortot 1951   60  0.2057  0.0060  0.0462  0.0449  0.0656  0.05
Czerny 1949   57  0.2458  0.0056  0.0557  0.0557  0.0554  0.05
Czerny 1949b   61  0.2060  0.0061  0.0364  0.0352  0.0561  0.04
Ezaki 2006   28  0.3839  0.0041  0.0738  0.0740  0.0937  0.08
Falvay 1989   22  0.3933  0.0040  0.0739  0.0750  0.0546  0.06
Ferenczy 1958   53  0.2737  0.0049  0.0554  0.0547  0.0747  0.06
Fiorentino 1962   56  0.2543  0.0052  0.0641  0.0646  0.0843  0.07
Fliere 1977   13  0.4515  0.0114  0.2112  0.553  0.627  0.58
Fou 1978   24  0.395  0.0429  0.0731  0.1235  0.1032  0.11
Francois 1956   15  0.4323  0.0015  0.1315  0.475  0.6311  0.54
Hatto 1997   8  0.4847  0.009  0.156  0.688  0.644  0.66
Horowitz 1971   58  0.2246  0.0059  0.0459  0.0461  0.0464  0.04
Horowitz 1985   63  0.1656  0.0063  0.0556  0.0561  0.0457  0.04
Indjic 2001   5  0.5011  0.016  0.163  0.735  0.662  0.69
Kapell 1951   35  0.3653  0.0027  0.0729  0.1431  0.2024  0.17
Kiepura 1999   41  0.3463  0.0043  0.0833  0.0862  0.0444  0.06
Kilenyi 1937   46  0.3348  0.0047  0.0835  0.0855  0.0642  0.07
Kissin 1993   12  0.4512  0.0117  0.0918  0.3527  0.3016  0.32
Kitain 1937   59  0.2062  0.0058  0.0458  0.0452  0.0563  0.04
Kushner 1990   16  0.4335  0.0016  0.1414  0.5132  0.1617  0.29
Levy 1951   62  0.1864  0.0062  0.0461  0.0454  0.0559  0.04
Luisada 1990   38  0.3526  0.0046  0.0646  0.0633  0.1041  0.08
Lushtak 2004   27  0.3850  0.0026  0.1022  0.2843  0.0729  0.14
Lympany 1968   42  0.3432  0.0025  0.0824  0.2227  0.2620  0.24
Magaloff 1977   25  0.3936  0.0036  0.0643  0.0620  0.3228  0.14
Magaloff 1977b   26  0.3817  0.0137  0.0737  0.0713  0.3726  0.16
Magin 1975   45  0.3334  0.0051  0.0555  0.0557  0.0460  0.04
Milkina 1970   2  0.5531  0.003  0.262  0.789  0.611  0.69
Mohovich 1999   47  0.3210  0.0222  0.0826  0.1731  0.1725  0.17
Nadelmann 1956   29  0.3766  0.0031  0.0727  0.1554  0.0440  0.08
Ohlsson 1999   4  0.5121  0.007  0.245  0.707  0.623  0.66
Olejniczac 1990   50  0.2822  0.0048  0.0648  0.0661  0.0555  0.05
Olejniczak 1991   51  0.2829  0.0050  0.0740  0.0737  0.0939  0.08
Osinska 1989   10  0.4614  0.0113  0.1911  0.5736  0.0822  0.21
Paderewski 1912   30  0.3749  0.0030  0.0628  0.1527  0.2423  0.19
Perahia 1994   32  0.3718  0.0023  0.0823  0.2445  0.0730  0.13
Perlemuter 1986   18  0.438  0.0212  0.1913  0.5516  0.3712  0.45
Poblocka 1999   55  0.2544  0.0055  0.0642  0.0659  0.0450  0.05
Rangell 2001   11  0.469  0.0211  0.1910  0.5711  0.616  0.59
Risler 1920   52  0.2755  0.0057  0.0460  0.0446  0.0558  0.04
Rosen 1989   49  0.286  0.0228  0.0732  0.1238  0.1033  0.11
Rubinstein 1939   9  0.483  0.062  0.219  0.677  0.595  0.63
Rubinstein 1952   6  0.507  0.0210  0.197  0.6821  0.488  0.57
Rubinstein 1966   3  0.524  0.044  0.254  0.7218  0.4110  0.54
Rummel 1943   43  0.3361  0.0035  0.0649  0.0635  0.0748  0.06
Shebanova 2002   40  0.3424  0.0044  0.0647  0.0657  0.0453  0.05
Smith 1975   31  0.3741  0.0032  0.0730  0.1346  0.0538  0.08
Szpilman 1948   23  0.3925  0.0038  0.0651  0.0631  0.1536  0.09
Uninsky 1971   34  0.3642  0.0033  0.0834  0.0832  0.1334  0.10
Wasowski 1980   39  0.3438  0.0042  0.0736  0.0746  0.0545  0.06
Weissenberg 1971   54  0.2620  0.0053  0.0650  0.0650  0.0552  0.05
Average   1  0.611  0.561  0.551  0.8642  0.0718  0.25
Random 1    66  -0.0759  0.0065  0.0265  0.0265  0.0265  0.02
Random 2   65  -0.0745  0.0066  0.0166  0.0158  0.0366  0.02
Random 3   64  0.0565  0.0064  0.0363  0.039  0.3535  0.10

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).