Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   5  0.7813  0.027  0.127  0.4529  0.218  0.31
Ax 1995   24  0.7223  0.0135  0.0641  0.0652  0.0645  0.06
Bacha 1998   49  0.6245  0.0046  0.0456  0.0440  0.0648  0.05
Barbosa 1983   58  0.5610  0.0241  0.0646  0.0650  0.0552  0.05
BenOr 1989   53  0.598  0.0227  0.0527  0.1441  0.0632  0.09
Biret 1990   16  0.7421  0.0117  0.0717  0.2831  0.1614  0.21
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   57  0.5648  0.0061  0.0460  0.0460  0.0459  0.04
Clidat 1994   13  0.7541  0.0012  0.1913  0.3437  0.0718  0.15
Cohen 1997   56  0.5765  0.0059  0.0455  0.0429  0.1930  0.09
Cortot 1951   64  0.4139  0.0064  0.0547  0.0526  0.2026  0.10
Csalog 1996   25  0.7259  0.0037  0.0835  0.0835  0.0737  0.07
Czerny 1989   41  0.6647  0.0042  0.0644  0.0643  0.0644  0.06
Ezaki 2006   6  0.7646  0.0019  0.0719  0.2242  0.0623  0.11
Falvay 1989   35  0.6930  0.0018  0.0716  0.2936  0.0719  0.14
Fiorentino 1962   22  0.7326  0.0022  0.0724  0.1645  0.0625  0.10
Fliere 1977   11  0.7622  0.0111  0.1315  0.3230  0.1711  0.23
Fou 1978   43  0.6515  0.0145  0.0453  0.0455  0.0560  0.04
Francois 1956   60  0.5160  0.0062  0.0452  0.0450  0.0656  0.05
Goldenweiser 1946   63  0.4236  0.0057  0.0364  0.0329  0.2135  0.08
Gornostaeva 1994   61  0.4755  0.0054  0.0462  0.0449  0.0565  0.04
Groot 1988   31  0.709  0.0229  0.0823  0.1741  0.0533  0.09
Hatto 1993   21  0.7357  0.0034  0.1033  0.1060  0.0446  0.06
Hatto 1997   19  0.7356  0.0033  0.0631  0.1256  0.0439  0.07
Horszowski 1983   30  0.7018  0.0132  0.0730  0.1310  0.3910  0.23
Indjic 2001   18  0.7366  0.0025  0.0622  0.1959  0.0428  0.09
Katin 1996   36  0.6820  0.0149  0.0738  0.0764  0.0449  0.05
Kiepura 1999   59  0.5340  0.0060  0.0457  0.0458  0.0457  0.04
Korecka 1992   50  0.6162  0.0058  0.0459  0.0433  0.1136  0.07
Kushner 1990   23  0.7212  0.024  0.136  0.473  0.592  0.53
Lilamand 2001   54  0.5819  0.0153  0.0645  0.0661  0.0453  0.05
Luisada 1990   46  0.6317  0.0128  0.0521  0.1928  0.1615  0.17
Luisada 2008   48  0.6249  0.0044  0.0550  0.0536  0.0654  0.05
Lushtak 2004   15  0.754  0.075  0.135  0.5427  0.264  0.37
Malcuzynski 1951   10  0.7627  0.008  0.1910  0.4228  0.219  0.30
Malcuzynski 1961   27  0.716  0.042  0.168  0.4423  0.246  0.32
Magaloff 1977   52  0.5938  0.0056  0.0463  0.0453  0.0464  0.04
Magin 1975   34  0.6925  0.0039  0.0739  0.0750  0.0543  0.06
Meguri 1997   62  0.4432  0.0052  0.0551  0.0560  0.0463  0.04
Milkina 1970   9  0.7644  0.0020  0.0620  0.2044  0.0524  0.10
Mohovich 1999   12  0.7531  0.0014  0.0711  0.3958  0.0422  0.12
Nezu 2005   42  0.6661  0.0040  0.0836  0.0850  0.0640  0.07
Ohlsson 1999   32  0.6924  0.0048  0.0643  0.0655  0.0451  0.05
Olejniczak 1990   28  0.705  0.0531  0.0726  0.1532  0.1121  0.13
Osinska 1989   14  0.757  0.036  0.113  0.5431  0.205  0.33
Perlemuter 1992   55  0.5753  0.0063  0.0461  0.0447  0.0558  0.04
Poblocka 1999   17  0.7342  0.0036  0.0737  0.0738  0.0641  0.06
Rangell 2001   8  0.7629  0.0015  0.0812  0.3737  0.0717  0.16
Richter 1960   44  0.6550  0.0023  0.0632  0.1132  0.1720  0.14
Richter 1961   37  0.6852  0.0021  0.0825  0.1541  0.0627  0.09
Rosen 1989   7  0.7654  0.0016  0.1014  0.3317  0.327  0.32
Rubinstein 1939   29  0.7033  0.0038  0.0642  0.0653  0.0547  0.05
Rubinstein 1952   39  0.6711  0.0213  0.0929  0.1349  0.0634  0.09
Rubinstein 1966   33  0.6934  0.0026  0.0634  0.0959  0.0538  0.07
Rudanovskaya 2007   51  0.6051  0.0055  0.0458  0.0439  0.0655  0.05
Shebanova 2002   4  0.782  0.109  0.219  0.4433  0.1113  0.22
Smith 1975   38  0.6735  0.0043  0.0740  0.0750  0.0542  0.06
Sztompka 1959   47  0.6343  0.0051  0.0548  0.0546  0.0550  0.05
Tanyel 1992   2  0.801  0.351  0.352  0.635  0.471  0.54
Tsujii 2005   3  0.7916  0.0110  0.164  0.5455  0.0516  0.16
Uninsky 1959   40  0.6758  0.0047  0.0454  0.0459  0.0461  0.04
Vardi 1988   45  0.6528  0.0050  0.0549  0.0562  0.0462  0.04
Wasowski 1980   26  0.7214  0.0124  0.0818  0.226  0.613  0.37
Zimerman 1975   20  0.7337  0.0030  0.0628  0.1444  0.0631  0.09
Average   1  0.823  0.083  0.161  0.6834  0.0812  0.23
Random 1   66  -0.0964  0.0066  0.0266  0.0243  0.0466  0.03
Random 2   67  -0.1463  0.0067  0.0167  0.0164  0.0267  0.01
Random 3   65  -0.0467  0.0065  0.0265  0.0211  0.4329  0.09

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).