Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   43  0.706  0.0518  0.0822  0.3652  0.0527  0.13
Ax 1995   12  0.772  0.242  0.242  0.566  0.452  0.50
Bacha 1998   42  0.7062  0.0026  0.0926  0.2424  0.3111  0.27
Barbosa 1983   57  0.625  0.057  0.148  0.4619  0.404  0.43
BenOr 1989   59  0.6017  0.0141  0.0551  0.0554  0.0551  0.05
Biret 1990   29  0.7358  0.0028  0.0828  0.1657  0.0436  0.08
Brailowsky 1960   51  0.6759  0.0052  0.0553  0.0559  0.0453  0.04
Chiu 1999   38  0.7114  0.0133  0.0642  0.0630  0.1532  0.09
Clidat 1994   47  0.7065  0.0044  0.0643  0.0662  0.0448  0.05
Cohen 1997   62  0.4936  0.0063  0.0548  0.0553  0.0550  0.05
Cortot 1951   63  0.4960  0.0062  0.0547  0.0536  0.0652  0.05
Csalog 1996   44  0.7043  0.0056  0.0554  0.0551  0.0547  0.05
Czerny 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ezaki 2006   9  0.7818  0.0116  0.1013  0.4210  0.443  0.43
Falvay 1989   5  0.7924  0.0013  0.0915  0.4028  0.1810  0.27
Fiorentino 1962   27  0.7349  0.0043  0.0641  0.0643  0.0641  0.06
Fliere 1977   15  0.7631  0.0023  0.0824  0.3562  0.0428  0.12
Fou 1978   39  0.7112  0.0115  0.0918  0.3829  0.1814  0.26
Francois 1956   46  0.7011  0.0127  0.0727  0.1611  0.4713  0.27
Goldenweiser 1946   40  0.707  0.0354  0.0550  0.0513  0.3925  0.14
Gornostaeva 1994   58  0.6235  0.0034  0.0638  0.0624  0.2630  0.12
Groot 1988   19  0.7528  0.0032  0.0532  0.1061  0.0442  0.06
Hatto 1993   6  0.7929  0.0017  0.1111  0.4235  0.0819  0.18
Hatto 1997   10  0.7816  0.0122  0.1316  0.4052  0.0526  0.14
Horszowski 1983   16  0.7532  0.0030  0.0630  0.128  0.3215  0.20
Indjic 2001   8  0.7844  0.0021  0.0817  0.3948  0.0624  0.15
Katin 1996   21  0.7451  0.0042  0.0544  0.0556  0.0456  0.04
Kiepura 1999   61  0.5240  0.0053  0.0555  0.0530  0.1137  0.07
Korecka 1992   55  0.6464  0.0061  0.0639  0.0662  0.0354  0.04
Kushner 1990   60  0.5557  0.0036  0.0635  0.0663  0.0358  0.04
Lilamand 2001   56  0.6330  0.0059  0.0463  0.0454  0.0559  0.04
Luisada 1990   13  0.7723  0.0020  0.1214  0.4121  0.298  0.34
Luisada 2008   24  0.7413  0.0119  0.0821  0.3621  0.337  0.34
Lushtak 2004   23  0.7420  0.0024  0.1023  0.3534  0.0722  0.16
Malcuzynski 1951   50  0.683  0.153  0.1520  0.3620  0.2012  0.27
Malcuzynski 1961   48  0.6933  0.006  0.1512  0.4239  0.0621  0.16
Magaloff 1977   18  0.7525  0.0011  0.119  0.4619  0.305  0.37
Magin 1975   26  0.7348  0.0035  0.0833  0.0852  0.0539  0.06
Meguri 1997   49  0.6941  0.0031  0.0531  0.1041  0.0634  0.08
Milkina 1970   7  0.7810  0.0114  0.117  0.4830  0.199  0.30
Mohovich 1999   14  0.7645  0.0045  0.0637  0.0652  0.0549  0.05
Nezu 2005   45  0.7054  0.0025  0.0925  0.2641  0.0629  0.12
Ohlsson 1999   22  0.7461  0.0048  0.0636  0.0657  0.0446  0.05
Olejniczak 1990   33  0.7226  0.0037  0.0457  0.0445  0.0565  0.04
Osinska 1989   11  0.789  0.028  0.133  0.5637  0.0716  0.20
Perlemuter 1992   41  0.7042  0.0038  0.0549  0.0537  0.0644  0.05
Poblocka 1999   4  0.7927  0.009  0.136  0.4842  0.0717  0.18
Rangell 2001   31  0.7337  0.0050  0.0456  0.0449  0.0564  0.04
Richter 1960   30  0.7352  0.0046  0.0734  0.0743  0.0640  0.06
Richter 1961   37  0.7147  0.0047  0.0640  0.0632  0.0938  0.07
Rosen 1989   35  0.7139  0.0051  0.0459  0.0459  0.0462  0.04
Rubinstein 1939   17  0.7521  0.0010  0.1010  0.4350  0.0620  0.16
Rubinstein 1952   20  0.758  0.024  0.165  0.5029  0.246  0.35
Rubinstein 1966   2  0.811  0.241  0.241  0.7015  0.461  0.57
Rudanovskaya 2007   25  0.7438  0.0055  0.0461  0.0444  0.0560  0.04
Shebanova 2002   3  0.804  0.0512  0.0819  0.3832  0.0918  0.18
Smith 1975   52  0.6755  0.0060  0.0552  0.0544  0.0645  0.05
Sztompka 1959   36  0.7119  0.0157  0.0546  0.0556  0.0457  0.04
Tanyel 1992   54  0.6656  0.0058  0.0460  0.0457  0.0461  0.04
Tsujii 2005   1  0.8115  0.015  0.174  0.5454  0.0523  0.16
Uninsky 1959   28  0.7322  0.0049  0.0545  0.0561  0.0455  0.04
Vardi 1988   34  0.7246  0.0029  0.0629  0.1233  0.0733  0.09
Wasowski 1980   53  0.6634  0.0040  0.0458  0.0438  0.0743  0.05
Zimerman 1975   32  0.7250  0.0039  0.0462  0.0456  0.0563  0.04
Random 1   65  0.0053  0.0065  0.0264  0.027  0.5031  0.10
Random 2   66  -0.0263  0.0066  0.0166  0.0141  0.0566  0.02
Random 3   64  0.0466  0.0064  0.0265  0.0213  0.3335  0.08

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).