Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   14  0.8049  0.009  0.116  0.5350  0.0522  0.16
Ax 1995   45  0.7221  0.0054  0.0640  0.0654  0.0555  0.05
Bacha 1998   48  0.7134  0.0036  0.0549  0.0564  0.0360  0.04
Barbosa 1983   61  0.6457  0.0051  0.0636  0.0645  0.0549  0.05
BenOr 1989   54  0.6930  0.0039  0.0553  0.0548  0.0656  0.05
Biret 1990   15  0.8016  0.0116  0.1113  0.4331  0.1317  0.24
Brailowsky 1960   33  0.7545  0.0042  0.0456  0.0437  0.0839  0.06
Chiu 1999   40  0.7323  0.0052  0.0834  0.0843  0.0540  0.06
Clidat 1994   20  0.7847  0.0019  0.0916  0.4033  0.1615  0.25
Cohen 1997   39  0.739  0.0143  0.0457  0.042  0.6921  0.17
Cortot 1951   64  0.5524  0.0064  0.0645  0.0645  0.0557  0.05
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1989   52  0.7053  0.0058  0.0552  0.0555  0.0548  0.05
Ezaki 2006   23  0.7814  0.0130  0.0633  0.1434  0.0736  0.10
Falvay 1989   24  0.788  0.0118  0.0921  0.3550  0.0534  0.13
Fiorentino 1962   13  0.8115  0.0117  0.1017  0.3954  0.0531  0.14
Fliere 1977   8  0.8326  0.0014  0.1215  0.4133  0.1318  0.23
Fou 1978   47  0.7146  0.0044  0.0464  0.0443  0.0747  0.05
Francois 1956   55  0.6854  0.0061  0.0644  0.0646  0.0644  0.06
Goldenweiser 1946   59  0.6620  0.0141  0.0554  0.058  0.4523  0.15
Gornostaeva 1994   62  0.6264  0.0059  0.0460  0.0456  0.0565  0.04
Groot 1988   9  0.8312  0.015  0.133  0.615  0.513  0.56
Hatto 1993   28  0.7740  0.0027  0.0823  0.3347  0.0632  0.14
Hatto 1997   30  0.7717  0.0128  0.1222  0.3443  0.0725  0.15
Horszowski 1983   49  0.7151  0.0050  0.0637  0.0640  0.0638  0.06
Indjic 2001   29  0.7758  0.0029  0.1125  0.3251  0.0535  0.13
Katin 1996   12  0.8132  0.0024  0.0726  0.2834  0.0824  0.15
Kiepura 1999   63  0.5844  0.0063  0.0461  0.0455  0.0459  0.04
Korecka 1992   57  0.6662  0.0062  0.0551  0.0561  0.0361  0.04
Kushner 1990   58  0.6622  0.0046  0.0458  0.0458  0.0464  0.04
Lilamand 2001   37  0.7435  0.0033  0.0932  0.1713  0.4612  0.28
Luisada 1990   42  0.7356  0.0040  0.0643  0.0656  0.0453  0.05
Luisada 2008   46  0.7127  0.0048  0.0641  0.0644  0.0552  0.05
Lushtak 2004   27  0.7752  0.0021  0.1119  0.3832  0.1716  0.25
Malcuzynski 1951   51  0.7011  0.0134  0.0639  0.0639  0.0558  0.05
Malcuzynski 1961   41  0.7336  0.0015  0.0924  0.3238  0.0630  0.14
Magaloff 1977   43  0.7261  0.0056  0.0642  0.0651  0.0642  0.06
Magin 1975   35  0.7563  0.0038  0.0462  0.0433  0.1041  0.06
Meguri 1997   38  0.7467  0.0025  0.0631  0.1829  0.1620  0.17
Milkina 1970   32  0.7650  0.0049  0.0646  0.0661  0.0362  0.04
Mohovich 1999   11  0.826  0.046  0.1010  0.5021  0.376  0.43
Nezu 2005   36  0.754  0.087  0.1118  0.3951  0.0626  0.15
Ohlsson 1999   5  0.847  0.0213  0.137  0.5323  0.347  0.42
Olejniczak 1990   21  0.7842  0.0012  0.1412  0.4414  0.419  0.42
Osinska 1989   16  0.8028  0.0020  0.0814  0.4156  0.0528  0.14
Perlemuter 1992   26  0.7848  0.0047  0.0550  0.0513  0.3927  0.14
Poblocka 1999   17  0.8018  0.0122  0.1220  0.3655  0.0533  0.13
Rangell 2001   22  0.7855  0.0031  0.0829  0.2325  0.3513  0.28
Richter 1960   56  0.6831  0.0055  0.0555  0.0555  0.0551  0.05
Richter 1961   60  0.6541  0.0060  0.0548  0.0548  0.0546  0.05
Rosen 1989   4  0.853  0.103  0.235  0.574  0.612  0.59
Rubinstein 1939   19  0.7933  0.0023  0.0727  0.2838  0.0729  0.14
Rubinstein 1952   34  0.7537  0.0035  0.0638  0.0644  0.0643  0.06
Rubinstein 1966   31  0.7639  0.0037  0.0547  0.0555  0.0550  0.05
Rudanovskaya 2007   18  0.7919  0.0126  0.0728  0.273  0.658  0.42
Shebanova 2002   10  0.8329  0.0011  0.259  0.5028  0.2310  0.34
Smith 1975   2  0.861  0.271  0.272  0.625  0.681  0.65
Sztompka 1959   25  0.7825  0.0032  0.0730  0.1813  0.4711  0.29
Tanyel 1992   7  0.8443  0.0010  0.1511  0.469  0.485  0.47
Tsujii 2005   3  0.865  0.064  0.214  0.5940  0.0719  0.20
Uninsky 1959   6  0.8410  0.018  0.118  0.5317  0.454  0.49
Vardi 1988   50  0.7013  0.0153  0.0459  0.0456  0.0463  0.04
Wasowski 1980   53  0.7059  0.0045  0.0463  0.0448  0.0645  0.05
Zimerman 1975   44  0.7238  0.0057  0.0735  0.0763  0.0454  0.05
Average   1  0.872  0.252  0.361  0.7136  0.0914  0.25
Random 1   67  -0.1266  0.0067  0.0167  0.0159  0.0267  0.01
Random 2   66  0.0165  0.0065  0.0266  0.0215  0.3037  0.08
Random 3   65  0.0260  0.0066  0.0265  0.0237  0.0566  0.03

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).