Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   40  0.6631  0.0011  0.0713  0.3640  0.0611  0.15
Ax 1995   30  0.6810  0.024  0.126  0.4418  0.284  0.35
Bacha 1998   60  0.5642  0.0062  0.0361  0.0362  0.0463  0.03
Barbosa 1983   51  0.607  0.035  0.155  0.4635  0.097  0.20
BenOr 1989   6  0.7336  0.006  0.124  0.5044  0.078  0.19
Biret 1990   34  0.6747  0.0050  0.0644  0.0659  0.0449  0.05
Brailowsky 1960   61  0.5560  0.0060  0.0360  0.0349  0.0555  0.04
Chiu 1999   17  0.7213  0.0118  0.0814  0.3331  0.126  0.20
Clidat 1994   56  0.5949  0.0046  0.0648  0.0661  0.0358  0.04
Cohen 1997   63  0.5348  0.0061  0.0363  0.0350  0.0465  0.03
Cortot 1951   58  0.5850  0.0057  0.0362  0.0354  0.0466  0.03
Csalog 1996   19  0.715  0.058  0.0930  0.1545  0.0631  0.09
Czerny 1989   10  0.731  0.311  0.312  0.648  0.522  0.58
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   2  0.7512  0.0110  0.0712  0.3655  0.0418  0.12
Fiorentino 1962   20  0.7119  0.0140  0.0645  0.0653  0.0447  0.05
Fliere 1977   44  0.6546  0.0056  0.0552  0.0564  0.0354  0.04
Fou 1978   39  0.6721  0.0127  0.0625  0.2252  0.0528  0.10
Francois 1956   48  0.6244  0.0048  0.0737  0.0739  0.0736  0.07
Goldenweiser 1946   49  0.6129  0.0012  0.0817  0.3045  0.0517  0.12
Gornostaeva 1994   31  0.684  0.057  0.1015  0.3340  0.0614  0.14
Groot 1988   23  0.7065  0.0036  0.0642  0.0656  0.0450  0.05
Hatto 1993   16  0.7257  0.0026  0.0621  0.2557  0.0526  0.11
Hatto 1997   24  0.706  0.0425  0.0720  0.2852  0.0615  0.13
Horszowski 1983   42  0.6528  0.0019  0.0919  0.2946  0.0516  0.12
Indjic 2001   21  0.7032  0.0030  0.0828  0.1642  0.0725  0.11
Katin 1996   14  0.7222  0.0024  0.0723  0.2447  0.0521  0.11
Kiepura 1999   59  0.5715  0.0142  0.0649  0.0635  0.0637  0.06
Korecka 1992   47  0.6237  0.0055  0.0455  0.0455  0.0457  0.04
Kushner 1990   45  0.6351  0.0022  0.0729  0.1640  0.0629  0.10
Lilamand 2001   38  0.6739  0.0015  0.0916  0.3015  0.375  0.33
Luisada 1990   8  0.7324  0.0017  0.098  0.4251  0.0513  0.14
Luisada 2008   33  0.6752  0.0037  0.0643  0.0660  0.0445  0.05
Lushtak 2004   7  0.7335  0.0029  0.0924  0.2454  0.0430  0.10
Malcuzynski 1951   62  0.5356  0.0043  0.0650  0.0641  0.0551  0.05
Malcuzynski 1961   50  0.6125  0.0021  0.0918  0.2954  0.0519  0.12
Magaloff 1977   11  0.7334  0.0013  0.087  0.4445  0.0510  0.15
Magin 1975   12  0.7330  0.0014  0.099  0.4238  0.079  0.17
Meguri 1997   18  0.7138  0.0039  0.0833  0.0838  0.0734  0.07
Milkina 1970   1  0.762  0.172  0.421  0.6510  0.423  0.52
Mohovich 1999   43  0.6541  0.0051  0.0735  0.0745  0.0540  0.06
Nezu 2005   22  0.7016  0.0135  0.0738  0.0751  0.0446  0.05
Ohlsson 1999   28  0.6927  0.0038  0.0734  0.0753  0.0538  0.06
Olejniczak 1990   15  0.7262  0.0032  0.0532  0.1056  0.0441  0.06
Osinska 1989   9  0.738  0.0220  0.1022  0.2555  0.0427  0.10
Perlemuter 1992   55  0.5959  0.0063  0.0457  0.0459  0.0361  0.03
Poblocka 1999   4  0.7420  0.0116  0.0911  0.3748  0.0512  0.14
Rangell 2001   5  0.743  0.143  0.243  0.564  0.691  0.62
Richter 1960   41  0.6514  0.0147  0.0639  0.0656  0.0444  0.05
Richter 1961   54  0.5963  0.0058  0.0359  0.0359  0.0462  0.03
Rosen 1989   29  0.6826  0.0034  0.0646  0.0630  0.1532  0.09
Rubinstein 1939   52  0.5940  0.0053  0.0554  0.0563  0.0456  0.04
Rubinstein 1952   57  0.5861  0.0052  0.0640  0.0657  0.0552  0.05
Rubinstein 1966   32  0.6855  0.0033  0.0641  0.0641  0.0639  0.06
Rudanovskaya 2007   35  0.6753  0.0059  0.0458  0.0455  0.0459  0.04
Shebanova 2002   27  0.699  0.0223  0.0726  0.2251  0.0623  0.11
Smith 1975   26  0.6933  0.0049  0.0647  0.0660  0.0542  0.05
Sztompka 1959   13  0.7211  0.0228  0.0727  0.1738  0.0722  0.11
Tanyel 1992   37  0.6743  0.0041  0.0736  0.0731  0.1624  0.11
Tsujii 2005   3  0.7545  0.009  0.0610  0.3948  0.0420  0.12
Uninsky 1959   25  0.6954  0.0031  0.0631  0.1359  0.0433  0.07
Vardi 1988   46  0.6217  0.0144  0.0553  0.0550  0.0543  0.05
Wasowski 1980   53  0.5918  0.0154  0.0456  0.0460  0.0453  0.04
Zimerman 1975   36  0.6723  0.0045  0.0551  0.0547  0.0548  0.05
Random 1   66  -0.0164  0.0066  0.0166  0.0129  0.1360  0.04
Random 2   65  0.0158  0.0065  0.0265  0.0220  0.2435  0.07
Random 3   64  0.0566  0.0064  0.0364  0.0344  0.0464  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).