Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   4  0.7810  0.026  0.126  0.4528  0.218  0.31
Ax 1995   23  0.7221  0.0134  0.0740  0.0751  0.0645  0.06
Bacha 1998   48  0.6246  0.0045  0.0455  0.0439  0.0647  0.05
Barbosa 1983   57  0.569  0.0240  0.0645  0.0649  0.0551  0.05
BenOr 1989   52  0.598  0.0226  0.0526  0.1440  0.0632  0.09
Biret 1990   15  0.7420  0.0116  0.0716  0.2830  0.1613  0.21
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   56  0.5648  0.0060  0.0459  0.0459  0.0458  0.04
Clidat 1994   12  0.7543  0.0011  0.1912  0.3436  0.0815  0.16
Cohen 1997   55  0.5764  0.0058  0.0454  0.0428  0.1930  0.09
Cortot 1951   63  0.4139  0.0063  0.0646  0.0625  0.2024  0.11
Csalog 1996   24  0.7259  0.0036  0.0834  0.0834  0.0737  0.07
Czerny 1989   40  0.6647  0.0041  0.0643  0.0642  0.0644  0.06
Ezaki 2006   5  0.7641  0.0018  0.0718  0.2241  0.0721  0.12
Falvay 1989   34  0.6928  0.0017  0.0715  0.2935  0.0718  0.14
Fiorentino 1962   21  0.7326  0.0021  0.0723  0.1644  0.0625  0.10
Fliere 1977   10  0.7622  0.0110  0.1414  0.3229  0.1711  0.23
Fou 1978   42  0.6512  0.0244  0.0452  0.0454  0.0559  0.04
Francois 1956   59  0.5160  0.0061  0.0451  0.0449  0.0655  0.05
Goldenweiser 1946   62  0.4237  0.0056  0.0363  0.0328  0.2134  0.08
Gornostaeva 1994   60  0.4754  0.0053  0.0461  0.0448  0.0564  0.04
Groot 1988   30  0.707  0.0228  0.0822  0.1740  0.0626  0.10
Hatto 1993   20  0.7357  0.0033  0.1032  0.1059  0.0446  0.06
Hatto 1997   18  0.7355  0.0032  0.0630  0.1255  0.0439  0.07
Horszowski 1983   29  0.7018  0.0131  0.0729  0.139  0.3910  0.23
Indjic 2001   17  0.7365  0.0024  0.0621  0.1958  0.0428  0.09
Katin 1996   35  0.6815  0.0148  0.0737  0.0763  0.0448  0.05
Kiepura 1999   58  0.5342  0.0059  0.0456  0.0457  0.0456  0.04
Korecka 1992   49  0.6161  0.0057  0.0458  0.0432  0.1136  0.07
Kushner 1990   22  0.7213  0.023  0.135  0.472  0.592  0.53
Lilamand 2001   53  0.5819  0.0152  0.0644  0.0660  0.0452  0.05
Luisada 1990   45  0.6316  0.0127  0.0520  0.1927  0.1614  0.17
Luisada 2008   47  0.6224  0.0043  0.0549  0.0535  0.0653  0.05
Lushtak 2004   14  0.753  0.094  0.134  0.5426  0.264  0.37
Malcuzynski 1951   9  0.7623  0.017  0.199  0.4227  0.219  0.30
Malcuzynski 1961   26  0.715  0.042  0.177  0.4422  0.246  0.32
Magaloff 1977   51  0.5938  0.0055  0.0462  0.0452  0.0563  0.04
Magin 1975   33  0.6925  0.0038  0.0738  0.0749  0.0543  0.06
Meguri 1997   61  0.4431  0.0051  0.0550  0.0559  0.0462  0.04
Milkina 1970   8  0.7645  0.0019  0.0619  0.2043  0.0623  0.11
Mohovich 1999   11  0.7532  0.0013  0.0710  0.3957  0.0422  0.12
Nezu 2005   41  0.6656  0.0039  0.0835  0.0849  0.0640  0.07
Ohlsson 1999   31  0.6927  0.0047  0.0642  0.0654  0.0450  0.05
Olejniczak 1990   27  0.704  0.0530  0.0825  0.1531  0.1120  0.13
Osinska 1989   13  0.756  0.045  0.112  0.5430  0.205  0.33
Perlemuter 1992   54  0.5753  0.0062  0.0460  0.0446  0.0557  0.04
Poblocka 1999   16  0.7340  0.0035  0.0836  0.0837  0.0635  0.07
Rangell 2001   7  0.7630  0.0014  0.0811  0.3736  0.0717  0.16
Richter 1960   43  0.6550  0.0022  0.0631  0.1131  0.1719  0.14
Richter 1961   36  0.6852  0.0020  0.0824  0.1540  0.0627  0.09
Rosen 1989   6  0.7651  0.0015  0.1013  0.3316  0.327  0.32
Rubinstein 1939   28  0.7033  0.0037  0.0641  0.0652  0.0642  0.06
Rubinstein 1952   38  0.6711  0.0212  0.0928  0.1348  0.0633  0.09
Rubinstein 1966   32  0.6934  0.0025  0.0633  0.0958  0.0538  0.07
Rudanovskaya 2007   50  0.6049  0.0054  0.0457  0.0438  0.0654  0.05
Shebanova 2002   3  0.782  0.118  0.218  0.4432  0.1112  0.22
Smith 1975   37  0.6736  0.0042  0.0739  0.0749  0.0541  0.06
Sztompka 1959   46  0.6344  0.0050  0.0547  0.0545  0.0549  0.05
Tanyel 1992   1  0.801  0.371  0.371  0.634  0.471  0.54
Tsujii 2005   2  0.7917  0.019  0.163  0.5454  0.0516  0.16
Uninsky 1959   39  0.6758  0.0046  0.0453  0.0458  0.0460  0.04
Vardi 1988   44  0.6529  0.0049  0.0548  0.0561  0.0461  0.04
Wasowski 1980   25  0.7214  0.0223  0.0817  0.225  0.613  0.37
Zimerman 1975   19  0.7335  0.0029  0.0627  0.1443  0.0631  0.09
Random 1   65  -0.0963  0.0065  0.0265  0.0243  0.0465  0.03
Random 2   66  -0.1462  0.0066  0.0166  0.0163  0.0266  0.01
Random 3   64  -0.0466  0.0064  0.0264  0.0210  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).