Rubinstein 1966

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   10  0.8430  0.009  0.197  0.5716  0.3912  0.47
Ax 1995   14  0.8314  0.0115  0.1212  0.5123  0.3216  0.40
Bacha 1998   41  0.6856  0.0051  0.0647  0.0638  0.0642  0.06
Barbosa 1983   32  0.7137  0.0012  0.2114  0.468  0.5011  0.48
BenOr 1989   60  0.5052  0.0056  0.0550  0.0550  0.0558  0.05
Biret 1990   37  0.7019  0.0035  0.1133  0.1141  0.0639  0.08
Brailowsky 1960   39  0.6947  0.0045  0.0558  0.0533  0.0940  0.07
Chiu 1999   6  0.863  0.095  0.219  0.553  0.626  0.58
Clidat 1994   7  0.8529  0.007  0.186  0.576  0.597  0.58
Cohen 1997   54  0.5857  0.0057  0.0555  0.0541  0.0746  0.06
Cortot 1951   63  0.2164  0.0063  0.0462  0.0444  0.0564  0.04
Csalog 1996   33  0.7138  0.0047  0.0551  0.0544  0.0553  0.05
Czerny 1989   19  0.7716  0.0114  0.1515  0.455  0.4514  0.45
Ezaki 2006   15  0.8224  0.0018  0.1517  0.4228  0.2917  0.35
Falvay 1989   44  0.6634  0.0039  0.0646  0.0647  0.0549  0.05
Fiorentino 1962   5  0.8912  0.016  0.214  0.613  0.665  0.63
Fliere 1977   8  0.854  0.028  0.178  0.5715  0.4510  0.51
Fou 1978   13  0.838  0.0110  0.1710  0.537  0.539  0.53
Francois 1956   24  0.7553  0.0024  0.0730  0.2516  0.4819  0.35
Goldenweiser 1946   62  0.2835  0.0062  0.0363  0.0357  0.0465  0.03
Gornostaeva 1994   35  0.7058  0.0016  0.0920  0.403  0.5613  0.47
Groot 1988   42  0.6736  0.0043  0.0552  0.0551  0.0463  0.04
Hatto 1993   26  0.7421  0.0029  0.1022  0.3636  0.0728  0.16
Hatto 1997   27  0.7417  0.0031  0.1325  0.3235  0.0729  0.15
Horszowski 1983   51  0.6362  0.0053  0.0642  0.0652  0.0547  0.05
Indjic 2001   25  0.7433  0.0030  0.1324  0.3539  0.0632  0.14
Katin 1996   4  0.905  0.023  0.285  0.593  0.694  0.64
Kiepura 1999   49  0.6449  0.0036  0.0738  0.0711  0.3527  0.16
Korecka 1992   61  0.4642  0.0061  0.0643  0.0655  0.0551  0.05
Kushner 1990   57  0.5510  0.0149  0.0559  0.0561  0.0360  0.04
Lilamand 2001   56  0.5623  0.0054  0.0461  0.0445  0.0561  0.04
Luisada 1990   58  0.5425  0.0059  0.0740  0.0734  0.0644  0.06
Luisada 2008   55  0.5631  0.0058  0.0554  0.0544  0.0554  0.05
Lushtak 2004   40  0.6860  0.0041  0.0641  0.0653  0.0556  0.05
Malcuzynski 1951   22  0.7643  0.0028  0.0928  0.2734  0.0633  0.13
Malcuzynski 1961   31  0.7120  0.0032  0.1231  0.2340  0.0635  0.12
Magaloff 1977   11  0.8341  0.0011  0.1513  0.505  0.588  0.54
Magin 1975   45  0.6528  0.0050  0.0644  0.0638  0.0641  0.06
Meguri 1997   53  0.6144  0.0023  0.0632  0.1642  0.0536  0.09
Milkina 1970   3  0.916  0.014  0.263  0.672  0.713  0.69
Mohovich 1999   20  0.7722  0.0019  0.0921  0.3729  0.1822  0.26
Nezu 2005   29  0.7346  0.0026  0.0826  0.3240  0.0730  0.15
Ohlsson 1999   21  0.7715  0.0125  0.1029  0.2526  0.2224  0.23
Olejniczak 1990   48  0.6454  0.0044  0.0560  0.0539  0.0659  0.05
Osinska 1989   28  0.7455  0.0033  0.0935  0.0938  0.0738  0.08
Perlemuter 1992   47  0.6527  0.0042  0.0556  0.0517  0.3134  0.12
Poblocka 1999   16  0.8039  0.0020  0.0919  0.4028  0.2920  0.34
Rangell 2001   36  0.7061  0.0048  0.0557  0.0559  0.0462  0.04
Richter 1960   38  0.7040  0.0034  0.1034  0.1015  0.3625  0.19
Richter 1961   23  0.7563  0.0021  0.1323  0.3517  0.3618  0.35
Rosen 1989   30  0.739  0.0138  0.0836  0.0824  0.2731  0.15
Rubinstein 1939   1  0.942  0.232  0.512  0.761  0.792  0.77
Rubinstein 1952   2  0.941  0.471  0.461  0.771  0.791  0.78
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rudanovskaya 2007   46  0.6526  0.0040  0.0549  0.0553  0.0555  0.05
Shebanova 2002   12  0.8365  0.0017  0.1216  0.4429  0.1423  0.25
Smith 1975   52  0.6211  0.0155  0.0645  0.0656  0.0450  0.05
Sztompka 1959   59  0.5332  0.0060  0.0737  0.0762  0.0352  0.05
Tanyel 1992   43  0.677  0.0146  0.0553  0.0543  0.0557  0.05
Tsujii 2005   9  0.8418  0.0013  0.1411  0.5244  0.0626  0.18
Uninsky 1959   34  0.7113  0.0137  0.0739  0.0748  0.0543  0.06
Vardi 1988   17  0.7845  0.0022  0.1318  0.4014  0.4015  0.40
Wasowski 1980   50  0.6348  0.0052  0.0648  0.0662  0.0448  0.05
Zimerman 1975   18  0.7850  0.0027  0.1027  0.3016  0.3521  0.32
Random 1   64  -0.0366  0.0064  0.0264  0.026  0.4237  0.09
Random 2   65  -0.0651  0.0065  0.0265  0.0236  0.0666  0.03
Random 3   66  -0.1059  0.0066  0.0166  0.0116  0.3245  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).