Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   1  0.794  0.043  0.223  0.6651  0.0514  0.18
Ax 1995   39  0.6462  0.0039  0.0461  0.0462  0.0465  0.04
Bacha 1998   28  0.6854  0.0036  0.0835  0.0841  0.0635  0.07
Barbosa 1983   10  0.7318  0.0126  0.0830  0.2338  0.0726  0.13
BenOr 1989   26  0.6827  0.0028  0.1128  0.2440  0.0728  0.13
Biret 1990   27  0.6864  0.0034  0.0834  0.0845  0.0637  0.07
Brailowsky 1960   47  0.6126  0.0052  0.0551  0.0558  0.0458  0.04
Chiu 1999   25  0.6919  0.0116  0.0922  0.3424  0.276  0.30
Clidat 1994   15  0.7343  0.0019  0.1017  0.4339  0.0618  0.16
Cohen 1997   60  0.5517  0.0163  0.0548  0.0544  0.0656  0.05
Cortot 1951   54  0.5933  0.0062  0.0464  0.0443  0.0566  0.04
Csalog 1996   44  0.6257  0.0055  0.0556  0.0560  0.0461  0.04
Czerny 1989   45  0.6223  0.0025  0.0925  0.2639  0.0631  0.12
Ezaki 2006   18  0.7110  0.0112  0.1311  0.5220  0.402  0.46
Falvay 1989   36  0.6528  0.0037  0.0740  0.0752  0.0538  0.06
Fiorentino 1962   4  0.7732  0.004  0.244  0.6427  0.285  0.42
Fliere 1977   7  0.757  0.0214  0.177  0.5547  0.0515  0.17
Fou 1978   9  0.743  0.055  0.218  0.5540  0.0711  0.20
Francois 1956   35  0.6624  0.0043  0.0643  0.0642  0.0743  0.06
Goldenweiser 1946   64  0.3947  0.0064  0.0645  0.0654  0.0544  0.05
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   51  0.6021  0.0144  0.0641  0.0649  0.0557  0.05
Hatto 1993   37  0.6515  0.0129  0.0926  0.2641  0.0729  0.13
Hatto 1997   40  0.6420  0.0131  0.1029  0.2344  0.0632  0.12
Horszowski 1983   59  0.5529  0.0033  0.0733  0.1344  0.0634  0.09
Indjic 2001   38  0.6441  0.0032  0.0832  0.1843  0.0633  0.10
Katin 1996   22  0.7012  0.0122  0.1121  0.3937  0.0716  0.17
Kiepura 1999   30  0.6638  0.0045  0.0644  0.0623  0.2430  0.12
Korecka 1992   55  0.5940  0.0060  0.0559  0.0545  0.0548  0.05
Kushner 1990   42  0.6335  0.0049  0.0554  0.0563  0.0360  0.04
Lilamand 2001   62  0.5351  0.0059  0.0460  0.0460  0.0562  0.04
Luisada 1990   52  0.5944  0.0040  0.0557  0.0535  0.0654  0.05
Luisada 2008   34  0.6661  0.0035  0.0739  0.0752  0.0453  0.05
Lushtak 2004   19  0.7113  0.0117  0.0816  0.4436  0.0713  0.18
Malcuzynski 1951   11  0.7314  0.0120  0.1020  0.4040  0.0524  0.14
Malcuzynski 1961   5  0.775  0.049  0.1510  0.5232  0.177  0.30
Magaloff 1977   8  0.7446  0.007  0.179  0.5315  0.384  0.45
Magin 1975   29  0.6711  0.0130  0.0831  0.2131  0.1120  0.15
Meguri 1997   46  0.628  0.0210  0.1124  0.3037  0.0722  0.14
Milkina 1970   20  0.7031  0.0011  0.1012  0.5035  0.099  0.21
Mohovich 1999   50  0.6045  0.0038  0.0558  0.0547  0.0655  0.05
Nezu 2005   14  0.7339  0.0023  0.1419  0.4156  0.0523  0.14
Ohlsson 1999   32  0.6648  0.0041  0.0553  0.0538  0.0551  0.05
Olejniczak 1990   49  0.6150  0.0050  0.0549  0.0558  0.0467  0.04
Osinska 1989   12  0.7322  0.0121  0.1114  0.4754  0.0519  0.15
Perlemuter 1992   63  0.5242  0.0056  0.0555  0.0546  0.0545  0.05
Poblocka 1999   16  0.7236  0.0018  0.0815  0.4638  0.0812  0.19
Rangell 2001   31  0.6616  0.0146  0.0738  0.0740  0.0642  0.06
Richter 1960   48  0.6152  0.0051  0.0646  0.0648  0.0552  0.05
Richter 1961   56  0.5859  0.0053  0.0552  0.0551  0.0546  0.05
Rosen 1989   57  0.5763  0.0057  0.0462  0.0455  0.0464  0.04
Rubinstein 1939   24  0.6930  0.0013  0.1513  0.4833  0.118  0.23
Rubinstein 1952   6  0.779  0.026  0.155  0.6127  0.353  0.46
Rubinstein 1966   2  0.781  0.451  0.452  0.7014  0.481  0.58
Rudanovskaya 2007   61  0.5360  0.0058  0.0463  0.0443  0.0563  0.04
Shebanova 2002   21  0.706  0.0315  0.1118  0.4362  0.0427  0.13
Smith 1975   53  0.5956  0.0054  0.0547  0.0551  0.0547  0.05
Sztompka 1959   58  0.5653  0.0061  0.0550  0.0562  0.0359  0.04
Tanyel 1992   33  0.6649  0.0048  0.0736  0.0744  0.0540  0.06
Tsujii 2005   13  0.7337  0.008  0.176  0.5856  0.0517  0.17
Uninsky 1959   41  0.6458  0.0047  0.0737  0.0764  0.0349  0.05
Vardi 1988   43  0.6355  0.0042  0.0642  0.0647  0.0550  0.05
Wasowski 1980   17  0.7234  0.0027  0.0927  0.2537  0.0725  0.13
Zimerman 1975   23  0.6925  0.0024  0.1123  0.3338  0.0721  0.15
Average   3  0.772  0.172  0.341  0.7554  0.0610  0.21
Random 1   67  -0.0667  0.0067  0.0167  0.0114  0.3141  0.06
Random 2   66  0.0066  0.0066  0.0266  0.0228  0.1939  0.06
Random 3   65  0.0065  0.0065  0.0265  0.0221  0.2236  0.07

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).