Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ax 1995   32  0.6912  0.0219  0.0725  0.287  0.5117  0.38
Bacha 1998   39  0.6662  0.0040  0.0637  0.0628  0.2445  0.12
Barbosa 1983   44  0.6516  0.0138  0.0551  0.0518  0.3942  0.14
BenOr 1989   51  0.6255  0.0055  0.0555  0.0536  0.0859  0.06
Biret 1990   9  0.7619  0.0113  0.1113  0.4118  0.3318  0.37
Brailowsky 1960   42  0.6647  0.0047  0.0635  0.0616  0.3736  0.15
Chiu 1999   35  0.6758  0.0045  0.0641  0.0621  0.2052  0.11
Clidat 1994   27  0.7010  0.0228  0.0828  0.2712  0.5714  0.39
Cohen 1997   62  0.5336  0.0059  0.0547  0.0516  0.4438  0.15
Cortot 1951   63  0.4650  0.0061  0.0463  0.0435  0.0662  0.05
Csalog 1996   17  0.7311  0.0218  0.0714  0.4015  0.4512  0.42
Czerny 1989   54  0.6021  0.0154  0.0553  0.0545  0.0561  0.05
Ezaki 2006   40  0.6645  0.0056  0.0640  0.0613  0.3635  0.15
Falvay 1989   7  0.764  0.078  0.135  0.5913  0.436  0.50
Fiorentino 1962   24  0.7141  0.0030  0.1130  0.2313  0.4724  0.33
Fliere 1977   10  0.7527  0.0020  0.0723  0.3012  0.4121  0.35
Fou 1978   28  0.702  0.173  0.2211  0.4811  0.429  0.45
Francois 1956   56  0.5956  0.0062  0.0459  0.0436  0.0763  0.05
Goldenweiser 1946   59  0.5746  0.0046  0.0636  0.0623  0.2544  0.12
Gornostaeva 1994   26  0.7149  0.0032  0.0532  0.1011  0.5232  0.23
Groot 1988   4  0.7715  0.017  0.1410  0.4920  0.3413  0.41
Hatto 1993   19  0.7339  0.0021  0.0718  0.3521  0.3720  0.36
Hatto 1997   18  0.7322  0.0122  0.0916  0.3725  0.2726  0.32
Horszowski 1983   47  0.6448  0.0042  0.0634  0.0628  0.2051  0.11
Indjic 2001   21  0.7113  0.0223  0.1120  0.3320  0.3623  0.34
Katin 1996   36  0.6757  0.0035  0.0642  0.0625  0.2346  0.12
Kiepura 1999   58  0.5753  0.0058  0.0639  0.0615  0.3540  0.14
Korecka 1992   38  0.6659  0.0037  0.0554  0.0512  0.4041  0.14
Kushner 1990   57  0.5764  0.0043  0.0550  0.0531  0.1458  0.08
Lilamand 2001   53  0.6042  0.0051  0.0457  0.0413  0.3847  0.12
Luisada 1990   3  0.771  0.231  0.221  0.685  0.582  0.63
Luisada 2008   15  0.7428  0.0016  0.0819  0.3514  0.3819  0.36
Lushtak 2004   12  0.7431  0.0024  0.1022  0.3014  0.4716  0.38
Malcuzynski 1951   52  0.6124  0.0136  0.0643  0.0627  0.1653  0.10
Malcuzynski 1961   34  0.6735  0.0015  0.1015  0.3821  0.2725  0.32
Magaloff 1977   30  0.6951  0.0044  0.0548  0.0525  0.2949  0.12
Magin 1975   16  0.7430  0.0025  0.1124  0.3026  0.2130  0.25
Meguri 1997   50  0.6265  0.0053  0.0456  0.0416  0.4243  0.13
Milkina 1970   49  0.6232  0.0039  0.0645  0.0612  0.3937  0.15
Mohovich 1999   43  0.6552  0.0041  0.0638  0.0624  0.2550  0.12
Nezu 2005   31  0.6918  0.0114  0.1112  0.438  0.4811  0.45
Ohlsson 1999   1  0.787  0.0410  0.158  0.5512  0.495  0.52
Olejniczak 1990   41  0.6660  0.0031  0.0831  0.1718  0.3631  0.25
Osinska 1989   11  0.7526  0.004  0.143  0.617  0.408  0.49
Perlemuter 1992   61  0.5563  0.0063  0.0549  0.0544  0.0560  0.05
Poblocka 1999   22  0.7138  0.0026  0.0927  0.2724  0.2429  0.25
Rangell 2001   55  0.5925  0.0052  0.0458  0.0410  0.5739  0.15
Richter 1960   29  0.6914  0.0134  0.0546  0.0518  0.2748  0.12
Richter 1961   45  0.6554  0.0049  0.0462  0.0429  0.1954  0.09
Rosen 1989   33  0.699  0.0212  0.1821  0.3012  0.5015  0.39
Rubinstein 1939   8  0.768  0.0311  0.204  0.616  0.553  0.58
Rubinstein 1952   25  0.7133  0.0017  0.0717  0.3624  0.2328  0.29
Rubinstein 1966   2  0.775  0.065  0.126  0.5614  0.3610  0.45
Rudanovskaya 2007   60  0.5566  0.0060  0.0460  0.0423  0.2257  0.09
Shebanova 2002   20  0.7261  0.0027  0.0826  0.2821  0.3327  0.30
Smith 1975   37  0.6729  0.0048  0.0633  0.0616  0.4434  0.16
Sztompka 1959   46  0.6440  0.0057  0.0552  0.0530  0.1556  0.09
Tanyel 1992   23  0.7143  0.0033  0.0644  0.0614  0.6033  0.19
Tsujii 2005   14  0.7420  0.019  0.119  0.519  0.497  0.50
Uninsky 1959   6  0.766  0.046  0.147  0.565  0.544  0.55
Vardi 1988   48  0.6323  0.0150  0.0461  0.0426  0.1955  0.09
Wasowski 1980   5  0.763  0.112  0.222  0.671  0.741  0.70
Zimerman 1975   13  0.7417  0.0129  0.0929  0.2413  0.5222  0.35
Random 1   66  -0.0534  0.0065  0.0265  0.0251  0.0366  0.02
Random 2   65  0.0037  0.0066  0.0166  0.0158  0.0365  0.02
Random 3   64  0.0744  0.0064  0.0364  0.0355  0.0364  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).