Kiepura 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.6230  0.0049  0.0739  0.0745  0.0648  0.06
Ashkenazy 1981   27  0.6841  0.0036  0.0553  0.0554  0.0658  0.05
Beliavsky 2004   29  0.6837  0.0031  0.0830  0.2020  0.2722  0.23
BenOr 1989   17  0.7223  0.0019  0.1416  0.4760  0.0430  0.14
Biret 1990   50  0.6254  0.0048  0.0735  0.0741  0.0653  0.06
Blet 2003   43  0.6418  0.0032  0.0832  0.1552  0.0440  0.08
Block 1995   22  0.7022  0.0024  0.1126  0.3521  0.419  0.38
Brailowsky 1960   55  0.6014  0.0053  0.0459  0.0432  0.1638  0.08
Chiu 1999   25  0.6950  0.0011  0.1220  0.4332  0.2014  0.29
Clidat 1994   28  0.6836  0.0029  0.1229  0.2957  0.0534  0.12
Cohen 1997   62  0.4435  0.0062  0.0552  0.0535  0.0752  0.06
Coop 1987   20  0.7142  0.0020  0.1214  0.4856  0.0528  0.15
Cortot 1951   54  0.6110  0.0158  0.0460  0.0417  0.4031  0.13
Czerny 1949   12  0.739  0.015  0.164  0.6226  0.316  0.44
Czerny 1949b   7  0.7419  0.0013  0.1411  0.5625  0.2311  0.36
Ezaki 2006   4  0.7444  0.008  0.178  0.5834  0.1119  0.25
Falvay 1989   5  0.742  0.073  0.277  0.5929  0.335  0.44
Ferenczy 1958   60  0.5445  0.0055  0.0463  0.0459  0.0564  0.04
Fiorentino 1962   15  0.7361  0.0015  0.0919  0.4328  0.2812  0.35
Fliere 1977   8  0.7434  0.009  0.1510  0.5637  0.0923  0.22
Fou 1978   14  0.7358  0.0018  0.1212  0.5134  0.1318  0.26
Francois 1956   48  0.6248  0.0054  0.0556  0.0554  0.0466  0.04
Hatto 1997   45  0.6431  0.0045  0.0737  0.0733  0.1041  0.08
Horowitz 1971   40  0.6615  0.0038  0.0736  0.0730  0.2135  0.12
Horowitz 1985   58  0.5646  0.0060  0.0554  0.0533  0.1337  0.08
Indjic 2001   46  0.6332  0.0047  0.0640  0.0644  0.0750  0.06
Kapell 1951   34  0.6616  0.0033  0.0833  0.0836  0.0939  0.08
Kiepura 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kilenyi 1937   30  0.6729  0.0022  0.0918  0.4634  0.0825  0.19
Kissin 1993   10  0.7417  0.007  0.169  0.5833  0.1120  0.25
Kitain 1937   63  0.3543  0.0063  0.0550  0.0542  0.0659  0.05
Kushner 1990   44  0.6438  0.0044  0.0643  0.0650  0.0556  0.05
Levy 1951   59  0.5559  0.0056  0.0461  0.0446  0.0654  0.05
Luisada 1990   13  0.7352  0.0016  0.0813  0.4920  0.367  0.42
Lushtak 2004   9  0.745  0.026  0.156  0.6022  0.372  0.47
Lympany 1968   31  0.6711  0.0137  0.0642  0.0638  0.0842  0.07
Magaloff 1977   23  0.6928  0.0026  0.1028  0.3427  0.2613  0.30
Magaloff 1977b   26  0.6957  0.0027  0.1827  0.3530  0.2316  0.28
Magin 1975   2  0.774  0.022  0.292  0.6921  0.511  0.59
Milkina 1970   32  0.6712  0.0142  0.0645  0.0640  0.0646  0.06
Mohovich 1999   52  0.6165  0.0051  0.0834  0.0862  0.0451  0.06
Nadelmann 1956   51  0.6220  0.0050  0.0648  0.0654  0.0557  0.05
Ohlsson 1999   42  0.6547  0.0040  0.0647  0.0644  0.0747  0.06
Olejniczac 1990   16  0.7363  0.0017  0.0821  0.4328  0.3210  0.37
Olejniczak 1991   19  0.7151  0.0023  0.0924  0.3630  0.1521  0.23
Osinska 1989   6  0.748  0.0110  0.165  0.6052  0.0624  0.19
Paderewski 1912   21  0.7025  0.0014  0.0922  0.4011  0.418  0.40
Perahia 1994   61  0.5313  0.0161  0.0738  0.0738  0.0649  0.06
Perlemuter 1986   24  0.6962  0.0025  0.1125  0.3535  0.0826  0.17
Poblocka 1999   18  0.7133  0.0021  0.1115  0.4829  0.1417  0.26
Rangell 2001   36  0.6627  0.0041  0.0551  0.0547  0.0660  0.05
Risler 1920   53  0.6155  0.0035  0.0558  0.0542  0.0744  0.06
Rosen 1989   37  0.6649  0.0039  0.0644  0.0625  0.3529  0.14
Rubinstein 1939   56  0.5764  0.0057  0.0462  0.0451  0.0562  0.04
Rubinstein 1952   38  0.6653  0.0043  0.0641  0.0663  0.0461  0.05
Rubinstein 1966   47  0.6356  0.0052  0.0649  0.0663  0.0363  0.04
Rummel 1943   57  0.5721  0.0059  0.0557  0.0552  0.0465  0.04
Shebanova 2002   3  0.753  0.044  0.313  0.6620  0.324  0.46
Smith 1975   41  0.6626  0.0046  0.0646  0.0656  0.0455  0.05
Szpilman 1948   35  0.6660  0.0030  0.0831  0.1937  0.0832  0.12
Uninsky 1971   11  0.737  0.0112  0.1117  0.4713  0.463  0.46
Wasowski 1980   33  0.676  0.0234  0.0555  0.0540  0.0743  0.06
Weissenberg 1971   39  0.6639  0.0028  0.1523  0.3742  0.0727  0.16
Average   1  0.821  0.711  0.701  0.8533  0.1015  0.29
Random 1    66  -0.0366  0.0066  0.0166  0.0114  0.3245  0.06
Random 2   64  0.0324  0.0064  0.0364  0.037  0.4733  0.12
Random 3   65  -0.0140  0.0065  0.0265  0.026  0.4736  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).