Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.1638  0.0024  0.0728  0.2636  0.0827  0.14
Ax 1995   45  0.377  0.0313  0.1116  0.4419  0.3910  0.41
Bacha 1998   24  0.4521  0.0028  0.1026  0.2718  0.3114  0.29
Barbosa 1983   57  0.2827  0.0032  0.1030  0.1947  0.0730  0.12
BenOr 1989   59  0.2753  0.0062  0.0263  0.0266  0.0166  0.01
Biret 1990   30  0.4350  0.0023  0.0723  0.3140  0.0628  0.14
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   14  0.4740  0.0011  0.1411  0.5432  0.1912  0.32
Clidat 1994   34  0.4060  0.0026  0.0727  0.2736  0.0824  0.15
Cohen 1997   61  0.2648  0.0057  0.0459  0.0450  0.0459  0.04
Cortot 1951   26  0.4443  0.0039  0.0839  0.0852  0.0443  0.06
Csalog 1996   22  0.4541  0.0034  0.0740  0.0752  0.0539  0.06
Czerny 1989   21  0.4618  0.0114  0.1317  0.4452  0.0522  0.15
Ezaki 2006   49  0.3564  0.0046  0.0455  0.0460  0.0453  0.04
Falvay 1989   19  0.479  0.0115  0.1513  0.5247  0.0518  0.16
Fiorentino 1962   36  0.3937  0.0036  0.0934  0.0953  0.0536  0.07
Fliere 1977   25  0.4413  0.0127  0.0924  0.3042  0.0725  0.14
Fou 1978   15  0.4712  0.0118  0.1119  0.3542  0.0719  0.16
Francois 1956   4  0.524  0.044  0.263  0.702  0.752  0.72
Goldenweiser 1946   7  0.5215  0.0110  0.147  0.6221  0.299  0.42
Gornostaeva 1994   60  0.2722  0.0056  0.0456  0.0453  0.0560  0.04
Groot 1988   20  0.4631  0.0030  0.0729  0.2260  0.0432  0.09
Hatto 1993   35  0.3955  0.0049  0.0552  0.0557  0.0551  0.05
Hatto 1997   44  0.3716  0.0152  0.0741  0.0752  0.0540  0.06
Horszowski 1983   54  0.3145  0.0045  0.0457  0.0458  0.0454  0.04
Indjic 2001   43  0.3762  0.0054  0.0645  0.0659  0.0358  0.04
Katin 1996   8  0.5120  0.0017  0.1314  0.5044  0.0715  0.19
Kiepura 1999   51  0.3410  0.0150  0.0549  0.0538  0.0737  0.06
Korecka 1992   37  0.3963  0.0042  0.0933  0.0929  0.2621  0.15
Kushner 1990   10  0.5014  0.019  0.1610  0.5513  0.407  0.47
Lilamand 2001   52  0.3358  0.0035  0.0742  0.0757  0.0444  0.05
Luisada 1990   33  0.4054  0.0033  0.0935  0.0960  0.0441  0.06
Luisada 2008   55  0.2961  0.0044  0.0454  0.0436  0.0745  0.05
Lushtak 2004   46  0.3642  0.0047  0.0553  0.0560  0.0357  0.04
Malcuzynski 1951   47  0.3544  0.0043  0.0647  0.0648  0.0552  0.05
Malcuzynski 1961   32  0.4123  0.0041  0.0836  0.0858  0.0438  0.06
Magaloff 1977   23  0.4524  0.0021  0.0920  0.3446  0.0529  0.13
Magin 1975   5  0.522  0.183  0.246  0.6820  0.376  0.50
Meguri 1997   53  0.3229  0.0063  0.0361  0.0364  0.0262  0.02
Milkina 1970   13  0.4819  0.0016  0.1712  0.5222  0.2111  0.33
Mohovich 1999   3  0.536  0.036  0.295  0.6922  0.405  0.53
Nezu 2005   28  0.4330  0.0038  0.0838  0.0848  0.0635  0.07
Ohlsson 1999   6  0.528  0.025  0.224  0.6916  0.464  0.56
Olejniczak 1990   58  0.2834  0.0065  0.0265  0.0265  0.0264  0.02
Osinska 1989   42  0.3766  0.0060  0.0548  0.0562  0.0355  0.04
Perlemuter 1992   50  0.3451  0.0058  0.0360  0.0354  0.0361  0.03
Poblocka 1999   11  0.505  0.037  0.149  0.5630  0.1713  0.31
Rangell 2001   41  0.3836  0.0053  0.0551  0.0554  0.0550  0.05
Richter 1960   48  0.3528  0.0055  0.0646  0.0661  0.0356  0.04
Richter 1961   39  0.3832  0.0022  0.0721  0.3436  0.0720  0.15
Rosen 1989   38  0.3933  0.0051  0.0644  0.0657  0.0447  0.05
Rubinstein 1939   9  0.5035  0.008  0.128  0.6223  0.338  0.45
Rubinstein 1952   29  0.4346  0.0019  0.1118  0.3634  0.0817  0.17
Rubinstein 1966   16  0.4739  0.0012  0.1315  0.4749  0.0523  0.15
Rudanovskaya 2007   2  0.581  0.381  0.371  0.795  0.633  0.71
Shebanova 2002   31  0.4147  0.0037  0.0743  0.0762  0.0346  0.05
Smith 1975   17  0.4717  0.0120  0.0725  0.2940  0.0726  0.14
Sztompka 1959   1  0.593  0.162  0.382  0.782  0.711  0.74
Tanyel 1992   62  0.2057  0.0064  0.0264  0.0263  0.0263  0.02
Tsujii 2005   18  0.4752  0.0029  0.0832  0.1860  0.0433  0.08
Uninsky 1959   12  0.4926  0.0025  0.0722  0.3133  0.0916  0.17
Vardi 1988   40  0.3825  0.0031  0.0831  0.1955  0.0431  0.09
Wasowski 1980   27  0.4411  0.0140  0.0837  0.0840  0.0734  0.07
Zimerman 1975   56  0.2959  0.0048  0.0550  0.0547  0.0549  0.05
Random 1   64  0.0065  0.0061  0.0262  0.0227  0.1248  0.05
Random 2   66  -0.0356  0.0066  0.0166  0.0165  0.0265  0.01
Random 3   65  -0.0149  0.0059  0.0458  0.0432  0.0942  0.06

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).