Afanassiev 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ashkenazy 1981   11  0.7323  0.009  0.159  0.4445  0.0619  0.16
Beliavsky 2004   33  0.6744  0.0042  0.0636  0.0645  0.0548  0.05
BenOr 1989   2  0.788  0.023  0.342  0.7636  0.089  0.25
Biret 1990   18  0.7129  0.0018  0.1119  0.3058  0.0431  0.11
Blet 2003   14  0.7225  0.0028  0.0828  0.2127  0.1914  0.20
Block 1995   15  0.7228  0.0023  0.0718  0.3155  0.0430  0.11
Brailowsky 1960   6  0.753  0.044  0.234  0.655  0.611  0.63
Chiu 1999   44  0.6519  0.0030  0.0929  0.1761  0.0434  0.08
Clidat 1994   37  0.6757  0.0033  0.0544  0.0544  0.0550  0.05
Cohen 1997   7  0.7555  0.0015  0.1015  0.338  0.404  0.36
Coop 1987   34  0.6734  0.0034  0.0547  0.0542  0.0740  0.06
Cortot 1951   25  0.7056  0.0035  0.0549  0.0562  0.0363  0.04
Czerny 1949   39  0.6643  0.0047  0.0455  0.0459  0.0558  0.04
Czerny 1949b   53  0.6045  0.0048  0.0637  0.0652  0.0546  0.05
Ezaki 2006   12  0.7220  0.0040  0.0634  0.0634  0.1033  0.08
Falvay 1989   5  0.7617  0.007  0.146  0.5739  0.0616  0.18
Ferenczy 1958   28  0.694  0.0321  0.0830  0.1511  0.468  0.26
Fiorentino 1962   21  0.7066  0.0013  0.0811  0.4150  0.0523  0.14
Fliere 1977   3  0.772  0.072  0.283  0.7420  0.442  0.57
Fou 1978   41  0.6637  0.0032  0.0532  0.1046  0.0635  0.08
Francois 1956   62  0.5249  0.0063  0.0639  0.0621  0.3620  0.15
Hatto 1997   8  0.7314  0.0117  0.0916  0.3225  0.256  0.28
Horowitz 1971   59  0.5765  0.0058  0.0363  0.0348  0.0561  0.04
Horowitz 1985   57  0.5733  0.0027  0.0827  0.2222  0.2610  0.24
Indjic 2001   4  0.7612  0.016  0.138  0.4633  0.0815  0.19
Kapell 1951   46  0.6526  0.0039  0.0638  0.0651  0.0547  0.05
Kiepura 1999   26  0.706  0.0224  0.0725  0.2224  0.307  0.26
Kilenyi 1937   42  0.669  0.0110  0.0813  0.3548  0.0622  0.14
Kissin 1993   47  0.6415  0.0131  0.0631  0.1159  0.0439  0.07
Kitain 1937   61  0.5246  0.0053  0.0360  0.0319  0.3332  0.10
Kushner 1990   56  0.5821  0.0061  0.0454  0.0459  0.0457  0.04
Levy 1951   29  0.6811  0.0116  0.0920  0.2852  0.0527  0.12
Luisada 1990   36  0.6750  0.0055  0.0358  0.0357  0.0559  0.04
Lushtak 2004   38  0.6627  0.0045  0.0635  0.0640  0.0642  0.06
Lympany 1968   40  0.6652  0.0044  0.0642  0.0628  0.2029  0.11
Magaloff 1977   31  0.6854  0.0020  0.0821  0.2746  0.0624  0.13
Magaloff 1977b   32  0.6839  0.0025  0.0722  0.2650  0.0628  0.12
Magin 1975   9  0.7322  0.0022  0.0617  0.3234  0.0817  0.16
Milkina 1970   20  0.7153  0.0036  0.0450  0.0431  0.1238  0.07
Mohovich 1999   27  0.6961  0.0037  0.0548  0.0556  0.0551  0.05
Nadelmann 1956   13  0.7242  0.0012  0.0812  0.3630  0.1611  0.24
Ohlsson 1999   52  0.6147  0.0057  0.0357  0.0351  0.0556  0.04
Olejniczac 1990   19  0.7158  0.0014  0.1310  0.4248  0.0618  0.16
Olejniczak 1991   35  0.6740  0.0041  0.0733  0.0738  0.0737  0.07
Osinska 1989   17  0.7124  0.0019  0.0814  0.3549  0.0621  0.14
Paderewski 1912   60  0.5441  0.0062  0.0451  0.0461  0.0365  0.03
Perahia 1994   50  0.6235  0.0046  0.0640  0.0640  0.0643  0.06
Perlemuter 1986   23  0.7010  0.0111  0.0823  0.259  0.543  0.37
Poblocka 1999   10  0.7330  0.0029  0.0826  0.2243  0.0726  0.12
Rangell 2001   48  0.6436  0.0056  0.0359  0.0349  0.0662  0.04
Risler 1920   63  0.5064  0.0059  0.0361  0.0352  0.0654  0.04
Rosen 1989   43  0.6632  0.0050  0.0452  0.0430  0.1536  0.08
Rubinstein 1939   54  0.6038  0.0051  0.0543  0.0554  0.0455  0.04
Rubinstein 1952   49  0.6313  0.0152  0.0545  0.0550  0.0552  0.05
Rubinstein 1966   51  0.6231  0.0060  0.0362  0.0360  0.0464  0.03
Rummel 1943   58  0.5759  0.0049  0.0453  0.0455  0.0460  0.04
Shebanova 2002   30  0.6851  0.0043  0.0641  0.0653  0.0549  0.05
Smith 1975   45  0.6516  0.0138  0.0546  0.0549  0.0545  0.05
Szpilman 1948   55  0.5948  0.0054  0.0356  0.0352  0.0553  0.04
Uninsky 1971   22  0.707  0.025  0.245  0.6030  0.175  0.32
Wasowski 1980   24  0.7018  0.0026  0.0824  0.2446  0.0625  0.12
Weissenberg 1971   16  0.715  0.028  0.137  0.5636  0.0812  0.21
Average   1  0.811  0.671  0.661  0.8952  0.0513  0.21
Random 1    66  -0.0260  0.0066  0.0166  0.0139  0.0566  0.02
Random 2   65  0.0063  0.0064  0.0364  0.0329  0.1141  0.06
Random 3   64  0.0162  0.0065  0.0265  0.0221  0.2144  0.06

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).