Kiepura 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.6624  0.0034  0.0549  0.0557  0.0463  0.04
Ashkenazy 1981   12  0.7033  0.0022  0.1021  0.4549  0.0626  0.16
Beliavsky 2004   31  0.6748  0.0035  0.0634  0.0636  0.0740  0.06
BenOr 1989   2  0.753  0.112  0.202  0.6752  0.0615  0.20
Biret 1990   29  0.6718  0.0131  0.1129  0.2655  0.0632  0.12
Blet 2003   42  0.6427  0.0029  0.1031  0.2446  0.0630  0.12
Block 1995   9  0.716  0.028  0.1419  0.5030  0.194  0.31
Brailowsky 1960   47  0.6326  0.0049  0.0461  0.0442  0.0838  0.06
Chiu 1999   14  0.7017  0.016  0.213  0.6234  0.146  0.29
Clidat 1994   39  0.6537  0.0038  0.0635  0.0646  0.0555  0.05
Cohen 1997   59  0.5750  0.0060  0.0637  0.0628  0.2331  0.12
Coop 1987   15  0.7047  0.0018  0.1614  0.5243  0.0718  0.19
Cortot 1951   49  0.6222  0.0058  0.0548  0.0550  0.0558  0.05
Czerny 1949   21  0.6963  0.0024  0.1125  0.3937  0.0919  0.19
Czerny 1949b   27  0.6820  0.0027  0.0926  0.3143  0.0727  0.15
Ezaki 2006   5  0.7242  0.0012  0.1613  0.5539  0.0910  0.22
Falvay 1989   7  0.722  0.163  0.204  0.6129  0.212  0.36
Ferenczy 1958   54  0.5954  0.0056  0.0457  0.0446  0.0654  0.05
Fiorentino 1962   18  0.6936  0.0013  0.1312  0.5547  0.0714  0.20
Fliere 1977   6  0.728  0.025  0.207  0.5839  0.0712  0.20
Fou 1978   16  0.7025  0.0016  0.1117  0.5154  0.0524  0.16
Francois 1956   61  0.5456  0.0061  0.0640  0.0652  0.0559  0.05
Hatto 1997   46  0.6353  0.0051  0.0644  0.0657  0.0553  0.05
Horowitz 1971   33  0.6613  0.0125  0.1128  0.2720  0.335  0.30
Horowitz 1985   55  0.5931  0.0052  0.0554  0.0521  0.3429  0.13
Indjic 2001   40  0.6562  0.0046  0.0553  0.0542  0.0744  0.06
Kapell 1951   38  0.6544  0.0033  0.0645  0.0653  0.0550  0.05
Kiepura 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kilenyi 1937   13  0.704  0.034  0.216  0.6034  0.127  0.27
Kissin 1993   19  0.699  0.029  0.169  0.5752  0.0622  0.18
Kitain 1937   62  0.4055  0.0062  0.0643  0.0662  0.0365  0.04
Kushner 1990   50  0.6239  0.0042  0.0641  0.0652  0.0552  0.05
Levy 1951   57  0.5852  0.0054  0.0458  0.0454  0.0648  0.05
Luisada 1990   10  0.7151  0.0023  0.1123  0.4140  0.0921  0.19
Lushtak 2004   26  0.687  0.0226  0.1124  0.3948  0.0628  0.15
Lympany 1968   48  0.6341  0.0050  0.0552  0.0550  0.0545  0.05
Magaloff 1977   23  0.6938  0.0021  0.1520  0.4540  0.0820  0.19
Magaloff 1977b   25  0.6843  0.0020  0.1222  0.4545  0.0723  0.18
Magin 1975   1  0.771  0.441  0.431  0.7921  0.571  0.67
Milkina 1970   30  0.6749  0.0044  0.0636  0.0659  0.0451  0.05
Mohovich 1999   37  0.6561  0.0043  0.0546  0.0552  0.0557  0.05
Nadelmann 1956   45  0.6428  0.0047  0.0456  0.0456  0.0561  0.04
Ohlsson 1999   36  0.6532  0.0037  0.0642  0.0645  0.0641  0.06
Olejniczac 1990   8  0.7116  0.017  0.158  0.5736  0.109  0.24
Olejniczak 1991   11  0.7115  0.0114  0.1311  0.5541  0.0911  0.22
Osinska 1989   3  0.735  0.0310  0.135  0.6150  0.0616  0.19
Paderewski 1912   51  0.6160  0.0039  0.0551  0.0546  0.0656  0.05
Perahia 1994   56  0.5912  0.0155  0.0462  0.0433  0.0942  0.06
Perlemuter 1986   41  0.6521  0.0028  0.0827  0.3030  0.208  0.24
Poblocka 1999   4  0.7329  0.0011  0.1410  0.5641  0.0713  0.20
Rangell 2001   28  0.6745  0.0032  0.0832  0.1642  0.0733  0.11
Risler 1920   60  0.5659  0.0053  0.0459  0.0447  0.0647  0.05
Rosen 1989   43  0.6435  0.0045  0.0638  0.0640  0.0643  0.06
Rubinstein 1939   58  0.5858  0.0059  0.0639  0.0661  0.0360  0.04
Rubinstein 1952   24  0.6814  0.0130  0.1030  0.2453  0.0534  0.11
Rubinstein 1966   34  0.6619  0.0048  0.0455  0.0447  0.0562  0.04
Rummel 1943   52  0.6134  0.0057  0.0460  0.0453  0.0464  0.04
Shebanova 2002   22  0.6910  0.0219  0.1218  0.5058  0.0525  0.16
Smith 1975   44  0.6457  0.0041  0.0550  0.0557  0.0549  0.05
Szpilman 1948   53  0.6140  0.0040  0.0547  0.0557  0.0546  0.05
Uninsky 1971   17  0.6930  0.0015  0.1016  0.5129  0.263  0.36
Wasowski 1980   32  0.6711  0.0136  0.0733  0.0752  0.0537  0.06
Weissenberg 1971   20  0.6923  0.0017  0.1215  0.5245  0.0717  0.19
Random 1    65  -0.0265  0.0065  0.0265  0.0223  0.1939  0.06
Random 2   63  0.0146  0.0063  0.0363  0.0326  0.2836  0.09
Random 3   64  0.0064  0.0064  0.0264  0.026  0.5535  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).