Kiepura 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   42  0.5542  0.0045  0.0650  0.0651  0.0560  0.05
Ax 1995   2  0.723  0.032  0.412  0.819  0.711  0.76
Bacha 1998   51  0.4733  0.0053  0.1141  0.1143  0.0749  0.09
Barbosa 1983   28  0.6113  0.0135  0.1435  0.1421  0.3528  0.22
BenOr 1989   25  0.6227  0.0033  0.1331  0.2438  0.1039  0.15
Biret 1990   34  0.5917  0.0034  0.1338  0.1326  0.2832  0.19
Brailowsky 1960   32  0.5941  0.0026  0.0928  0.3035  0.1133  0.18
Chiu 1999   60  0.3924  0.0061  0.0561  0.0559  0.0464  0.04
Clidat 1994   48  0.4940  0.0048  0.0652  0.0635  0.0854  0.07
Cohen 1997   64  0.2861  0.0064  0.0553  0.0551  0.0561  0.05
Cortot 1951   55  0.4447  0.0054  0.0556  0.056  0.5836  0.17
Csalog 1996   36  0.5723  0.0040  0.1434  0.1424  0.3529  0.22
Czerny 1989   8  0.694  0.033  0.218  0.685  0.742  0.71
Ezaki 2006   12  0.6431  0.0021  0.0927  0.3323  0.4218  0.37
Falvay 1989   6  0.699  0.0110  0.319  0.6829  0.3411  0.48
Fiorentino 1962   10  0.6710  0.017  0.1710  0.6615  0.538  0.59
Fliere 1977   45  0.5418  0.0025  0.0933  0.2332  0.1335  0.17
Fou 1978   3  0.707  0.016  0.203  0.7510  0.633  0.69
Francois 1956   49  0.4945  0.0050  0.0649  0.0647  0.0756  0.06
Goldenweiser 1946   47  0.4946  0.0047  0.0554  0.0518  0.4538  0.15
Gornostaeva 1994   50  0.4855  0.0051  0.0647  0.0635  0.0855  0.07
Groot 1988   11  0.658  0.0111  0.2811  0.6111  0.559  0.58
Hatto 1993   14  0.6353  0.0029  0.1225  0.3536  0.0934  0.18
Hatto 1997   17  0.6352  0.0032  0.1129  0.2647  0.0744  0.13
Horszowski 1983   63  0.3258  0.0063  0.0651  0.0644  0.0557  0.05
Indjic 2001   13  0.6432  0.0027  0.0923  0.3733  0.1625  0.24
Katin 1996   26  0.6116  0.0015  0.1115  0.4330  0.2520  0.33
Kiepura 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Korecka 1992   16  0.6338  0.0028  0.1126  0.333  0.7210  0.49
Kushner 1990   46  0.5364  0.0046  0.0746  0.0747  0.0753  0.07
Lilamand 2001   57  0.4337  0.0060  0.0557  0.0515  0.4041  0.14
Luisada 1990   35  0.5825  0.0039  0.1337  0.1328  0.3031  0.20
Luisada 2008   38  0.5612  0.0142  0.0945  0.0940  0.0950  0.09
Lushtak 2004   18  0.6328  0.0012  0.1113  0.4528  0.2222  0.31
Malcuzynski 1951   5  0.692  0.055  0.234  0.7212  0.554  0.63
Malcuzynski 1961   9  0.685  0.024  0.175  0.7214  0.507  0.60
Magaloff 1977   52  0.4622  0.0049  0.0555  0.0518  0.4242  0.14
Magin 1975   20  0.636  0.0219  0.0818  0.3918  0.4714  0.43
Meguri 1997   53  0.4563  0.0052  0.0944  0.0930  0.2737  0.16
Milkina 1970   40  0.5536  0.0038  0.1140  0.1141  0.1146  0.11
Mohovich 1999   44  0.5519  0.0041  0.0943  0.0934  0.0951  0.09
Nezu 2005   30  0.6039  0.0036  0.1239  0.1246  0.0847  0.10
Ohlsson 1999   43  0.5557  0.0043  0.0942  0.0952  0.0752  0.08
Olejniczak 1990   23  0.6254  0.0023  0.0822  0.3733  0.1626  0.24
Osinska 1989   7  0.6921  0.008  0.276  0.6919  0.526  0.60
Perlemuter 1992   61  0.3760  0.0058  0.0463  0.0424  0.2148  0.09
Poblocka 1999   22  0.6214  0.0018  0.0814  0.4422  0.5112  0.47
Rangell 2001   54  0.4443  0.0056  0.0560  0.0541  0.0662  0.05
Richter 1960   56  0.4350  0.0055  0.0558  0.0543  0.0558  0.05
Richter 1961   62  0.3556  0.0057  0.0464  0.0455  0.0563  0.04
Rosen 1989   27  0.6135  0.0031  0.0830  0.2421  0.4123  0.31
Rubinstein 1939   37  0.5720  0.0013  0.1117  0.4124  0.4315  0.42
Rubinstein 1952   31  0.6051  0.0017  0.0816  0.4227  0.2521  0.32
Rubinstein 1966   21  0.6326  0.0014  0.1512  0.4923  0.3316  0.40
Rudanovskaya 2007   59  0.3930  0.0062  0.0559  0.0544  0.0659  0.05
Shebanova 2002   58  0.4249  0.0059  0.0462  0.0445  0.0465  0.04
Smith 1975   33  0.5929  0.0016  0.0920  0.3823  0.3619  0.37
Sztompka 1959   39  0.5544  0.0037  0.1336  0.1315  0.5324  0.26
Tanyel 1992   29  0.6065  0.0024  0.0821  0.3834  0.1230  0.21
Tsujii 2005   24  0.6248  0.0030  0.0832  0.2441  0.0843  0.14
Uninsky 1959   15  0.6334  0.0020  0.0824  0.3532  0.1527  0.23
Vardi 1988   19  0.6315  0.0022  0.0819  0.3923  0.4017  0.39
Wasowski 1980   41  0.5559  0.0044  0.0648  0.0625  0.3540  0.14
Zimerman 1975   4  0.7011  0.019  0.197  0.6917  0.545  0.61
Average   1  0.791  0.741  0.721  0.9029  0.2513  0.47
Random 1   65  0.0266  0.0065  0.0365  0.035  0.4545  0.12
Random 2   66  -0.0562  0.0067  0.0167  0.0142  0.0566  0.02
Random 3   67  -0.0667  0.0066  0.0266  0.0265  0.0267  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).