Kiepura 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.2151  0.0035  0.0554  0.0535  0.0845  0.06
Ax 1995   52  0.3858  0.0031  0.0730  0.1443  0.0633  0.09
Bacha 1998   49  0.3963  0.0056  0.0640  0.0659  0.0354  0.04
Barbosa 1983   48  0.407  0.026  0.206  0.5721  0.418  0.48
BenOr 1989   20  0.4926  0.0023  0.1018  0.3933  0.1217  0.22
Biret 1990   16  0.5237  0.0019  0.0815  0.4435  0.0721  0.18
Brailowsky 1960   55  0.3413  0.0150  0.0738  0.0749  0.0542  0.06
Chiu 1999   24  0.4819  0.0037  0.0645  0.0646  0.0643  0.06
Clidat 1994   33  0.479  0.0129  0.0829  0.1650  0.0629  0.10
Cohen 1997   32  0.4725  0.0016  0.0719  0.364  0.715  0.51
Cortot 1951   46  0.4164  0.0054  0.0647  0.0661  0.0357  0.04
Csalog 1996   31  0.4748  0.0046  0.0934  0.0945  0.0634  0.07
Czerny 1989   23  0.4917  0.0010  0.1410  0.5233  0.0916  0.22
Ezaki 2006   26  0.4812  0.0111  0.1312  0.5133  0.0918  0.21
Falvay 1989   18  0.5131  0.0022  0.1021  0.3451  0.0525  0.13
Fiorentino 1962   1  0.691  0.681  0.671  0.851  0.731  0.79
Fliere 1977   42  0.4253  0.0049  0.0650  0.0654  0.0447  0.05
Fou 1978   21  0.495  0.039  0.199  0.5427  0.2112  0.34
Francois 1956   53  0.3738  0.0061  0.0262  0.0260  0.0365  0.02
Goldenweiser 1946   30  0.4755  0.0044  0.0644  0.0639  0.0641  0.06
Gornostaeva 1994   56  0.3341  0.0040  0.0739  0.0731  0.1827  0.11
Groot 1988   8  0.554  0.0314  0.0722  0.3440  0.0624  0.14
Hatto 1993   39  0.4321  0.0018  0.0727  0.2142  0.0628  0.11
Hatto 1997   37  0.4335  0.0034  0.0648  0.0655  0.0450  0.05
Horszowski 1983   36  0.4445  0.0042  0.0835  0.0842  0.0540  0.06
Indjic 2001   34  0.4610  0.0128  0.0928  0.1955  0.0432  0.09
Katin 1996   2  0.5916  0.018  0.265  0.6629  0.2311  0.39
Kiepura 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Korecka 1992   3  0.592  0.073  0.262  0.721  0.752  0.73
Kushner 1990   59  0.3052  0.0055  0.0555  0.0564  0.0259  0.03
Lilamand 2001   38  0.4329  0.0048  0.0836  0.0858  0.0349  0.05
Luisada 1990   51  0.3865  0.0041  0.0641  0.0654  0.0551  0.05
Luisada 2008   61  0.2866  0.0063  0.0265  0.0265  0.0261  0.02
Lushtak 2004   9  0.5539  0.0012  0.0813  0.4833  0.0819  0.20
Malcuzynski 1951   60  0.2959  0.0064  0.0264  0.0264  0.0263  0.02
Malcuzynski 1961   25  0.4830  0.0032  0.0632  0.1140  0.0730  0.09
Magaloff 1977   54  0.3662  0.0051  0.0456  0.0459  0.0456  0.04
Magin 1975   5  0.593  0.042  0.313  0.6916  0.424  0.54
Meguri 1997   6  0.5832  0.0013  0.0911  0.5115  0.487  0.49
Milkina 1970   19  0.5020  0.0024  0.1025  0.2433  0.1022  0.15
Mohovich 1999   4  0.596  0.025  0.184  0.6921  0.443  0.55
Nezu 2005   17  0.5149  0.0047  0.1133  0.1151  0.0539  0.07
Ohlsson 1999   15  0.5227  0.0017  0.0814  0.4829  0.1913  0.30
Olejniczak 1990   11  0.5428  0.0026  0.1120  0.3425  0.2115  0.27
Osinska 1989   14  0.5354  0.0033  0.0651  0.0652  0.0548  0.05
Perlemuter 1992   43  0.4223  0.0057  0.0457  0.0459  0.0358  0.03
Poblocka 1999   41  0.4350  0.0052  0.0553  0.0558  0.0452  0.04
Rangell 2001   35  0.4536  0.0043  0.0643  0.0635  0.0746  0.06
Richter 1960   27  0.4824  0.0045  0.0837  0.0838  0.0635  0.07
Richter 1961   10  0.5414  0.014  0.178  0.5520  0.446  0.49
Rosen 1989   7  0.578  0.0115  0.0716  0.4124  0.4410  0.42
Rubinstein 1939   50  0.3856  0.0036  0.0649  0.0658  0.0353  0.04
Rubinstein 1952   58  0.3260  0.0060  0.0359  0.0363  0.0264  0.02
Rubinstein 1966   22  0.4915  0.0120  0.0817  0.3934  0.0820  0.18
Rudanovskaya 2007   12  0.5357  0.0027  0.1026  0.2333  0.0823  0.14
Shebanova 2002   28  0.4711  0.0130  0.0731  0.1253  0.0436  0.07
Smith 1975   57  0.3261  0.0062  0.0361  0.0364  0.0260  0.02
Sztompka 1959   47  0.4142  0.0038  0.0646  0.0632  0.1531  0.09
Tanyel 1992   45  0.4118  0.0039  0.0642  0.0638  0.0838  0.07
Tsujii 2005   13  0.5346  0.0025  0.1024  0.2757  0.0526  0.12
Uninsky 1959   40  0.4340  0.0053  0.0552  0.0560  0.0355  0.04
Vardi 1988   44  0.4122  0.007  0.187  0.5520  0.359  0.44
Wasowski 1980   62  0.2347  0.0066  0.0166  0.0165  0.0266  0.01
Zimerman 1975   29  0.4743  0.0021  0.0823  0.3227  0.2614  0.29
Random 1   64  0.0533  0.0058  0.0358  0.0324  0.1344  0.06
Random 2   65  0.0034  0.0059  0.0360  0.0328  0.1537  0.07
Random 3   66  -0.0744  0.0065  0.0263  0.0259  0.0362  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).