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   14  0.7351  0.0016  0.0720  0.4228  0.2127  0.30
Bacha 1998   34  0.6733  0.0047  0.0647  0.0613  0.5339  0.18
Barbosa 1983   22  0.729  0.0118  0.0923  0.359  0.5120  0.42
BenOr 1989   44  0.6535  0.0048  0.0650  0.0646  0.0761  0.06
Biret 1990   49  0.6340  0.0051  0.0838  0.0849  0.0660  0.07
Brailowsky 1960   33  0.6821  0.0034  0.0934  0.0921  0.3443  0.17
Chiu 1999   35  0.6716  0.0140  0.0744  0.075  0.5935  0.20
Clidat 1994   3  0.772  0.092  0.392  0.701  0.782  0.74
Cohen 1997   59  0.5356  0.0061  0.0652  0.0612  0.5241  0.18
Cortot 1951   62  0.4563  0.0062  0.0462  0.0425  0.2256  0.09
Csalog 1996   40  0.6654  0.0043  0.0649  0.0623  0.2551  0.12
Czerny 1989   42  0.6558  0.0036  0.0835  0.0816  0.4240  0.18
Ezaki 2006   8  0.7514  0.018  0.1010  0.5112  0.577  0.54
Falvay 1989   16  0.725  0.0310  0.0714  0.5026  0.2923  0.38
Fiorentino 1962   26  0.7146  0.0033  0.0836  0.0830  0.2348  0.14
Fliere 1977   5  0.763  0.073  0.243  0.672  0.613  0.64
Fou 1978   12  0.737  0.0211  0.0825  0.3323  0.4822  0.40
Francois 1956   36  0.676  0.0325  0.0927  0.283  0.7017  0.44
Goldenweiser 1946   63  0.3819  0.0063  0.0651  0.0650  0.0463  0.05
Gornostaeva 1994   48  0.6337  0.0049  0.0648  0.067  0.5342  0.18
Groot 1988   52  0.6038  0.0044  0.0654  0.0642  0.0762  0.06
Hatto 1993   25  0.7143  0.0020  0.1617  0.4725  0.2625  0.35
Hatto 1997   19  0.7261  0.0013  0.099  0.5222  0.4114  0.46
Horszowski 1983   61  0.5160  0.0060  0.0463  0.0423  0.2453  0.10
Indjic 2001   21  0.7227  0.0015  0.1112  0.5123  0.3421  0.42
Katin 1996   23  0.7211  0.0132  0.0932  0.1824  0.3531  0.25
Kiepura 1999   45  0.6439  0.0054  0.0657  0.0639  0.0858  0.07
Korecka 1992   55  0.5849  0.0058  0.0561  0.0523  0.3449  0.13
Kushner 1990   37  0.6748  0.0041  0.0745  0.0720  0.3746  0.16
Lilamand 2001   56  0.5753  0.0056  0.0746  0.075  0.4938  0.19
Luisada 1990   53  0.6025  0.0053  0.0655  0.0631  0.1755  0.10
Luisada 2008   47  0.6317  0.0152  0.0740  0.0724  0.4045  0.17
Lushtak 2004   17  0.7236  0.0021  0.0922  0.3914  0.5016  0.44
Malcuzynski 1951   2  0.7731  0.005  0.148  0.5418  0.4015  0.46
Malcuzynski 1961   6  0.7622  0.004  0.096  0.5515  0.4211  0.48
Magaloff 1977   54  0.5944  0.0055  0.0656  0.0621  0.2652  0.12
Magin 1975   32  0.6832  0.0037  0.0837  0.0821  0.3544  0.17
Meguri 1997   58  0.558  0.0227  0.1031  0.1826  0.2037  0.19
Milkina 1970   13  0.7341  0.006  0.097  0.5519  0.565  0.55
Mohovich 1999   31  0.6920  0.007  0.1113  0.5014  0.4712  0.48
Nezu 2005   15  0.7228  0.0029  0.1126  0.3028  0.2230  0.26
Ohlsson 1999   20  0.7210  0.0123  0.1216  0.487  0.618  0.54
Olejniczak 1990   38  0.6645  0.0042  0.0743  0.0734  0.1057  0.08
Osinska 1989   9  0.7552  0.0014  0.1011  0.5122  0.4113  0.46
Perlemuter 1992   60  0.5326  0.0059  0.0560  0.057  0.3747  0.14
Poblocka 1999   18  0.7262  0.0030  0.0929  0.2323  0.3229  0.27
Rangell 2001   27  0.7155  0.0035  0.0933  0.0914  0.5932  0.23
Richter 1960   46  0.6429  0.0038  0.0839  0.086  0.6033  0.22
Richter 1961   41  0.6518  0.0031  0.0930  0.196  0.6226  0.34
Rosen 1989   43  0.6559  0.0045  0.0559  0.0519  0.3350  0.13
Rubinstein 1939   28  0.7057  0.0028  0.0924  0.3321  0.4124  0.37
Rubinstein 1952   11  0.7415  0.0117  0.0715  0.499  0.5110  0.50
Rubinstein 1966   10  0.7442  0.0019  0.1218  0.4711  0.559  0.51
Rudanovskaya 2007   50  0.6230  0.0039  0.0742  0.072  0.6834  0.22
Shebanova 2002   7  0.7523  0.009  0.085  0.563  0.714  0.63
Smith 1975   51  0.6150  0.0046  0.0653  0.0632  0.1754  0.10
Sztompka 1959   57  0.5747  0.0057  0.0558  0.0549  0.0664  0.05
Tanyel 1992   24  0.714  0.0324  0.1019  0.4323  0.4418  0.43
Tsujii 2005   1  0.811  0.561  0.551  0.813  0.691  0.75
Uninsky 1959   30  0.7012  0.0122  0.0921  0.4112  0.4419  0.42
Vardi 1988   29  0.7013  0.0126  0.0928  0.2525  0.3128  0.28
Wasowski 1980   39  0.6624  0.0050  0.0741  0.0715  0.5036  0.19
Zimerman 1975   4  0.7634  0.0012  0.104  0.5611  0.556  0.55
Random 1   66  -0.1165  0.0066  0.0166  0.0151  0.0465  0.02
Random 2   64  -0.0266  0.0064  0.0364  0.0323  0.1859  0.07
Random 3   65  -0.0764  0.0065  0.0265  0.0253  0.0366  0.02

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).