Kiepura 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2152  0.0036  0.0555  0.0536  0.0846  0.06
Ax 1995   53  0.3859  0.0032  0.0731  0.1444  0.0634  0.09
Bacha 1998   50  0.3964  0.0057  0.0641  0.0660  0.0355  0.04
Barbosa 1983   49  0.408  0.027  0.207  0.5722  0.418  0.48
BenOr 1989   21  0.4929  0.0024  0.1019  0.3934  0.1119  0.21
Biret 1990   17  0.5237  0.0020  0.0816  0.4436  0.0722  0.18
Brailowsky 1960   56  0.3412  0.0151  0.0739  0.0750  0.0543  0.06
Chiu 1999   25  0.4819  0.0038  0.0646  0.0647  0.0644  0.06
Clidat 1994   34  0.4710  0.0130  0.0830  0.1651  0.0630  0.10
Cohen 1997   33  0.4725  0.0017  0.0720  0.365  0.715  0.51
Cortot 1951   47  0.4165  0.0055  0.0648  0.0662  0.0358  0.04
Csalog 1996   32  0.4748  0.0047  0.0935  0.0946  0.0635  0.07
Czerny 1989   24  0.4918  0.0011  0.1411  0.5234  0.0916  0.22
Ezaki 2006   27  0.4815  0.0112  0.1313  0.5134  0.0918  0.21
Falvay 1989   19  0.5132  0.0023  0.1022  0.3452  0.0525  0.13
Fiorentino 1962   1  0.691  0.671  0.661  0.852  0.731  0.79
Fliere 1977   43  0.4254  0.0050  0.0651  0.0655  0.0448  0.05
Fou 1978   22  0.496  0.0310  0.1910  0.5428  0.2112  0.34
Francois 1956   54  0.3738  0.0062  0.0263  0.0261  0.0366  0.02
Goldenweiser 1946   31  0.4756  0.0045  0.0645  0.0640  0.0642  0.06
Gornostaeva 1994   57  0.3342  0.0041  0.0740  0.0732  0.1828  0.11
Groot 1988   9  0.555  0.0315  0.0723  0.3441  0.0624  0.14
Hatto 1993   40  0.4321  0.0019  0.0728  0.2143  0.0629  0.11
Hatto 1997   38  0.4336  0.0035  0.0649  0.0656  0.0451  0.05
Horszowski 1983   37  0.4445  0.0043  0.0836  0.0843  0.0541  0.06
Indjic 2001   35  0.4611  0.0129  0.0929  0.1956  0.0433  0.09
Katin 1996   3  0.5916  0.019  0.266  0.6630  0.2311  0.39
Kiepura 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Korecka 1992   4  0.592  0.074  0.253  0.722  0.752  0.73
Kushner 1990   60  0.3053  0.0056  0.0556  0.0565  0.0260  0.03
Lilamand 2001   39  0.4330  0.0049  0.0837  0.0859  0.0350  0.05
Luisada 1990   52  0.3866  0.0042  0.0642  0.0655  0.0552  0.05
Luisada 2008   62  0.2867  0.0064  0.0266  0.0266  0.0262  0.02
Lushtak 2004   10  0.5540  0.0013  0.0814  0.4834  0.0820  0.20
Malcuzynski 1951   61  0.2960  0.0065  0.0265  0.0265  0.0264  0.02
Malcuzynski 1961   26  0.4831  0.0033  0.0633  0.1141  0.0731  0.09
Magaloff 1977   55  0.3663  0.0052  0.0457  0.0460  0.0457  0.04
Magin 1975   6  0.593  0.043  0.314  0.6917  0.424  0.54
Meguri 1997   7  0.5833  0.0014  0.0912  0.5116  0.487  0.49
Milkina 1970   20  0.5022  0.0025  0.1026  0.2434  0.1023  0.15
Mohovich 1999   5  0.597  0.026  0.185  0.6922  0.443  0.55
Nezu 2005   18  0.5150  0.0048  0.1034  0.1052  0.0540  0.07
Ohlsson 1999   16  0.5228  0.0018  0.0815  0.4830  0.1913  0.30
Olejniczak 1990   12  0.5427  0.0027  0.1121  0.3426  0.2115  0.27
Osinska 1989   15  0.5355  0.0034  0.0552  0.0553  0.0549  0.05
Perlemuter 1992   44  0.4224  0.0058  0.0458  0.0460  0.0359  0.03
Poblocka 1999   42  0.4351  0.0053  0.0554  0.0559  0.0453  0.04
Rangell 2001   36  0.4539  0.0044  0.0644  0.0636  0.0747  0.06
Richter 1960   28  0.4826  0.0046  0.0838  0.0839  0.0636  0.07
Richter 1961   11  0.5413  0.015  0.179  0.5521  0.446  0.49
Rosen 1989   8  0.579  0.0116  0.0717  0.4125  0.4410  0.42
Rubinstein 1939   51  0.3857  0.0037  0.0650  0.0659  0.0354  0.04
Rubinstein 1952   59  0.3261  0.0061  0.0360  0.0364  0.0265  0.02
Rubinstein 1966   23  0.4917  0.0021  0.0818  0.3935  0.0821  0.18
Rudanovskaya 2007   13  0.5358  0.0028  0.1027  0.2334  0.0726  0.13
Shebanova 2002   29  0.4714  0.0131  0.0632  0.1254  0.0437  0.07
Smith 1975   58  0.3262  0.0063  0.0362  0.0365  0.0261  0.02
Sztompka 1959   48  0.4143  0.0039  0.0647  0.0633  0.1532  0.09
Tanyel 1992   46  0.4120  0.0040  0.0643  0.0639  0.0839  0.07
Tsujii 2005   14  0.5346  0.0026  0.1025  0.2758  0.0527  0.12
Uninsky 1959   41  0.4341  0.0054  0.0553  0.0561  0.0356  0.04
Vardi 1988   45  0.4123  0.008  0.188  0.5521  0.359  0.44
Wasowski 1980   63  0.2347  0.0067  0.0167  0.0166  0.0267  0.01
Zimerman 1975   30  0.4749  0.0022  0.0724  0.3228  0.2614  0.29
Average   2  0.654  0.032  0.272  0.7951  0.0617  0.22
Random 1   65  0.0534  0.0059  0.0359  0.0324  0.1345  0.06
Random 2   66  0.0035  0.0060  0.0361  0.0329  0.1538  0.07
Random 3   67  -0.0744  0.0066  0.0264  0.0260  0.0363  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).