Luisada 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   56  0.2365  0.0056  0.0362  0.0346  0.0559  0.04
Ashkenazy 1981   34  0.3515  0.0143  0.1033  0.1046  0.0635  0.08
Beliavsky 2004   62  0.1963  0.0054  0.0459  0.0442  0.0751  0.05
BenOr 1989   26  0.3738  0.0030  0.0928  0.2147  0.0728  0.12
Biret 1990   33  0.3530  0.0031  0.0730  0.1845  0.0631  0.10
Blet 2003   8  0.474  0.033  0.163  0.6816  0.564  0.62
Block 1995   19  0.4117  0.0012  0.1113  0.5415  0.3811  0.45
Brailowsky 1960   4  0.4934  0.0010  0.148  0.6226  0.3012  0.43
Chiu 1999   42  0.3141  0.0045  0.0553  0.0555  0.0455  0.04
Clidat 1994   46  0.3039  0.0049  0.0641  0.0645  0.0644  0.06
Cohen 1997   63  0.1755  0.0061  0.0363  0.0354  0.0465  0.03
Coop 1987   44  0.3053  0.0044  0.0836  0.0850  0.0542  0.06
Cortot 1951   59  0.2148  0.0062  0.0360  0.0340  0.0754  0.05
Czerny 1949   5  0.4823  0.007  0.257  0.6315  0.507  0.56
Czerny 1949b   12  0.4411  0.0113  0.1312  0.5515  0.549  0.54
Ezaki 2006   38  0.3346  0.0039  0.0739  0.0744  0.0837  0.07
Falvay 1989   23  0.3937  0.0016  0.1515  0.5331  0.1617  0.29
Ferenczy 1958   58  0.2257  0.0051  0.0550  0.0554  0.0653  0.05
Fiorentino 1962   6  0.4812  0.015  0.174  0.6713  0.623  0.64
Fliere 1977   49  0.2743  0.0052  0.0549  0.0538  0.0647  0.05
Fou 1978   10  0.4610  0.0111  0.125  0.6722  0.476  0.56
Francois 1956   31  0.3524  0.0034  0.0644  0.0639  0.0646  0.06
Hatto 1997   54  0.2364  0.0058  0.0457  0.0453  0.0458  0.04
Horowitz 1971   16  0.4231  0.0020  0.0924  0.2730  0.2020  0.23
Horowitz 1985   25  0.3713  0.019  0.1219  0.4318  0.2913  0.35
Indjic 2001   52  0.2466  0.0055  0.0361  0.0363  0.0364  0.03
Kapell 1951   50  0.2621  0.0050  0.0554  0.0561  0.0357  0.04
Kiepura 1999   9  0.4714  0.018  0.129  0.6115  0.478  0.54
Kilenyi 1937   15  0.4242  0.0021  0.1218  0.4730  0.2016  0.31
Kissin 1993   28  0.3620  0.0036  0.0645  0.0643  0.0840  0.07
Kitain 1937   55  0.2332  0.0057  0.0458  0.0449  0.0562  0.04
Kushner 1990   41  0.3258  0.0042  0.0835  0.0852  0.0543  0.06
Levy 1951   47  0.2935  0.0046  0.0738  0.0760  0.0448  0.05
Luisada 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   43  0.3140  0.0032  0.0731  0.1350  0.0534  0.08
Lympany 1968   48  0.2747  0.0047  0.0737  0.0744  0.0541  0.06
Magaloff 1977   27  0.3652  0.0029  0.0729  0.1824  0.3019  0.23
Magaloff 1977b   36  0.3359  0.0038  0.0643  0.0624  0.2129  0.11
Magin 1975   1  0.631  0.611  0.602  0.812  0.701  0.75
Milkina 1970   57  0.2336  0.0053  0.0647  0.0656  0.0550  0.05
Mohovich 1999   61  0.1961  0.0063  0.0456  0.0461  0.0461  0.04
Nadelmann 1956   11  0.466  0.0219  0.1120  0.4327  0.1718  0.27
Ohlsson 1999   24  0.3816  0.0133  0.0646  0.0632  0.1033  0.08
Olejniczac 1990   7  0.4827  0.006  0.206  0.6513  0.632  0.64
Olejniczak 1991   18  0.4151  0.0018  0.1816  0.5025  0.2014  0.32
Osinska 1989   17  0.4133  0.0023  0.1121  0.4056  0.0527  0.14
Paderewski 1912   40  0.3225  0.0037  0.0551  0.0534  0.0845  0.06
Perahia 1994   51  0.2462  0.0059  0.0555  0.0557  0.0460  0.04
Perlemuter 1986   29  0.3656  0.0035  0.0934  0.0946  0.0539  0.07
Poblocka 1999   30  0.3618  0.0025  0.1027  0.2132  0.1224  0.16
Rangell 2001   45  0.303  0.0427  0.0732  0.1352  0.0536  0.08
Risler 1920   14  0.4222  0.0017  0.2011  0.564  0.575  0.56
Rosen 1989   35  0.349  0.0222  0.0922  0.3329  0.3215  0.32
Rubinstein 1939   37  0.3319  0.0041  0.0642  0.0661  0.0356  0.04
Rubinstein 1952   20  0.405  0.0314  0.1717  0.5038  0.0525  0.16
Rubinstein 1966   13  0.447  0.0215  0.1414  0.5340  0.0622  0.18
Rummel 1943   3  0.508  0.024  0.1510  0.586  0.5110  0.54
Shebanova 2002   32  0.3549  0.0028  0.0726  0.2252  0.0530  0.10
Smith 1975   22  0.3926  0.0024  0.1023  0.2728  0.1421  0.19
Szpilman 1948   39  0.3245  0.0040  0.0740  0.0738  0.0838  0.07
Uninsky 1971   53  0.2444  0.0048  0.0648  0.0663  0.0452  0.05
Wasowski 1980   21  0.4028  0.0026  0.1325  0.2439  0.0826  0.14
Weissenberg 1971   60  0.1950  0.0060  0.0552  0.0549  0.0549  0.05
Average   2  0.572  0.112  0.471  0.8363  0.0423  0.18
Random 1    66  -0.0454  0.0065  0.0265  0.0246  0.0463  0.03
Random 2   64  0.0329  0.0064  0.0364  0.0319  0.3032  0.09
Random 3   65  -0.0160  0.0066  0.0166  0.0151  0.0366  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).