Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.3016  0.0123  0.0817  0.367  0.6019  0.46
Ax 1995   61  0.4358  0.0055  0.0459  0.0430  0.1761  0.08
Bacha 1998   55  0.5055  0.0059  0.0460  0.0420  0.2959  0.11
Barbosa 1983   59  0.4620  0.0129  0.0926  0.239  0.6025  0.37
BenOr 1989   8  0.6811  0.017  0.157  0.522  0.689  0.59
Biret 1990   11  0.664  0.072  0.143  0.572  0.743  0.65
Brailowsky 1960   58  0.4737  0.0049  0.0547  0.0513  0.5245  0.16
Chiu 1999   45  0.5819  0.0147  0.0639  0.0619  0.3649  0.15
Clidat 1994   44  0.5826  0.0011  0.1214  0.373  0.6514  0.49
Cohen 1997   62  0.3535  0.0062  0.0363  0.0331  0.2560  0.09
Cortot 1951   28  0.6224  0.0037  0.0737  0.075  0.4937  0.19
Csalog 1996   1  0.731  0.341  0.331  0.771  0.641  0.70
Czerny 1989   35  0.6061  0.0024  0.0823  0.2810  0.5424  0.39
Ezaki 2006   31  0.6139  0.0035  0.1034  0.1014  0.4933  0.22
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fiorentino 1962   17  0.6510  0.0227  0.0925  0.247  0.5227  0.35
Fliere 1977   42  0.5944  0.0045  0.0555  0.0512  0.4348  0.15
Fou 1978   36  0.6059  0.0052  0.0645  0.0628  0.1958  0.11
Francois 1956   60  0.4465  0.0063  0.0458  0.0432  0.1562  0.08
Goldenweiser 1946   18  0.649  0.0214  0.0824  0.267  0.5923  0.39
Gornostaeva 1994   53  0.5121  0.0142  0.0552  0.054  0.6341  0.18
Groot 1988   12  0.6615  0.016  0.134  0.571  0.676  0.62
Hatto 1993   6  0.6929  0.0020  0.0618  0.365  0.6316  0.48
Hatto 1997   4  0.7017  0.0115  0.0813  0.424  0.6813  0.53
Horszowski 1983   40  0.5949  0.0025  0.0921  0.3111  0.5920  0.43
Indjic 2001   3  0.7123  0.0013  0.158  0.523  0.718  0.61
Katin 1996   9  0.6830  0.0012  0.1511  0.485  0.6011  0.54
Kiepura 1999   54  0.5147  0.0053  0.0551  0.0521  0.3456  0.13
Korecka 1992   38  0.5963  0.0057  0.0457  0.0415  0.5253  0.14
Kushner 1990   50  0.5612  0.0119  0.0633  0.114  0.5932  0.25
Lilamand 2001   33  0.6133  0.0018  0.0820  0.329  0.6718  0.46
Luisada 1990   23  0.6238  0.0036  0.1232  0.1220  0.3934  0.22
Luisada 2008   52  0.5456  0.0044  0.0553  0.0512  0.4254  0.14
Lushtak 2004   16  0.6534  0.0021  0.0616  0.364  0.6117  0.47
Malcuzynski 1951   57  0.4946  0.0061  0.0548  0.0517  0.4451  0.15
Malcuzynski 1961   26  0.6214  0.0132  0.0930  0.1720  0.4431  0.27
Magaloff 1977   34  0.6150  0.0046  0.0546  0.059  0.5247  0.16
Magin 1975   27  0.6257  0.0022  0.0815  0.373  0.6215  0.48
Meguri 1997   24  0.6241  0.0051  0.0642  0.0610  0.5439  0.18
Milkina 1970   5  0.696  0.0510  0.146  0.531  0.774  0.64
Mohovich 1999   15  0.6518  0.0116  0.0719  0.3515  0.5421  0.43
Nezu 2005   14  0.6548  0.0041  0.0644  0.069  0.5240  0.18
Ohlsson 1999   47  0.5740  0.0040  0.0640  0.0615  0.4843  0.17
Olejniczak 1990   30  0.6127  0.0056  0.0462  0.0443  0.0564  0.04
Osinska 1989   2  0.728  0.039  0.172  0.611  0.742  0.67
Perlemuter 1992   51  0.5551  0.0058  0.0461  0.049  0.5152  0.14
Poblocka 1999   21  0.6443  0.0038  0.0643  0.0615  0.4742  0.17
Rangell 2001   48  0.5660  0.0054  0.0641  0.0630  0.3355  0.14
Richter 1960   20  0.6436  0.0028  0.0927  0.2211  0.6226  0.37
Richter 1961   29  0.627  0.0426  0.0922  0.283  0.6322  0.42
Rosen 1989   39  0.5953  0.0050  0.0556  0.0517  0.5544  0.17
Rubinstein 1939   43  0.5954  0.0043  0.0549  0.0515  0.4850  0.15
Rubinstein 1952   46  0.5722  0.0117  0.0629  0.208  0.5330  0.33
Rubinstein 1966   25  0.625  0.065  0.1210  0.505  0.5912  0.54
Rudanovskaya 2007   7  0.6925  0.0033  0.0836  0.086  0.6235  0.22
Shebanova 2002   13  0.663  0.103  0.155  0.541  0.707  0.61
Smith 1975   41  0.5945  0.0039  0.0638  0.0610  0.5338  0.18
Sztompka 1959   37  0.6032  0.0048  0.0550  0.0511  0.5346  0.16
Tanyel 1992   49  0.5628  0.0031  0.0731  0.158  0.7329  0.33
Tsujii 2005   10  0.6742  0.0034  0.1035  0.1012  0.4436  0.21
Uninsky 1959   19  0.6431  0.0030  0.0828  0.207  0.5828  0.34
Vardi 1988   22  0.6313  0.018  0.129  0.511  0.795  0.63
Wasowski 1980   56  0.4952  0.0060  0.0554  0.0522  0.3657  0.13
Zimerman 1975   32  0.612  0.114  0.1312  0.452  0.7510  0.58
Random 1   64  0.0866  0.0064  0.0364  0.0323  0.1363  0.06
Random 2   65  0.0362  0.0065  0.0265  0.0245  0.0465  0.03
Random 3   66  -0.0464  0.0066  0.0166  0.0158  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).