Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   62  0.3923  0.0045  0.0636  0.0632  0.1254  0.08
Ax 1995   16  0.592  0.164  0.1717  0.5211  0.5214  0.52
Bacha 1998   60  0.4350  0.0059  0.0555  0.0559  0.0562  0.05
Barbosa 1983   42  0.5311  0.0123  0.1321  0.396  0.6316  0.50
BenOr 1989   14  0.6045  0.0016  0.2015  0.5321  0.5115  0.52
Biret 1990   8  0.6219  0.0011  0.115  0.647  0.673  0.65
Brailowsky 1960   46  0.5247  0.0037  0.0462  0.0427  0.2547  0.10
Chiu 1999   48  0.5153  0.0049  0.0643  0.0615  0.5027  0.17
Clidat 1994   49  0.5140  0.0048  0.0735  0.0729  0.1448  0.10
Cohen 1997   63  0.3559  0.0063  0.0549  0.0531  0.1949  0.10
Cortot 1951   59  0.4330  0.0062  0.0463  0.0446  0.0565  0.04
Csalog 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Czerny 1989   6  0.633  0.032  0.283  0.694  0.672  0.68
Ezaki 2006   9  0.6132  0.009  0.239  0.595  0.635  0.61
Falvay 1989   1  0.701  0.631  0.621  0.857  0.671  0.75
Fiorentino 1962   15  0.5926  0.0020  0.1420  0.4430  0.2023  0.30
Fliere 1977   35  0.5539  0.0041  0.0557  0.0529  0.2343  0.11
Fou 1978   28  0.5654  0.0040  0.0558  0.0536  0.0859  0.06
Francois 1956   52  0.5036  0.0046  0.0554  0.0520  0.3338  0.13
Goldenweiser 1946   31  0.5515  0.0038  0.0560  0.058  0.5431  0.16
Gornostaeva 1994   44  0.5235  0.0043  0.0552  0.053  0.7126  0.19
Groot 1988   3  0.646  0.016  0.264  0.6912  0.546  0.61
Hatto 1993   23  0.5860  0.0029  0.0628  0.2143  0.0645  0.11
Hatto 1997   17  0.5957  0.0024  0.0924  0.3243  0.0732  0.15
Horszowski 1983   61  0.4312  0.0154  0.0561  0.0515  0.4233  0.14
Indjic 2001   20  0.5843  0.0030  0.0927  0.2147  0.0644  0.11
Katin 1996   4  0.634  0.025  0.188  0.6219  0.4313  0.52
Kiepura 1999   45  0.5242  0.0051  0.0546  0.0534  0.1155  0.07
Korecka 1992   41  0.5358  0.0052  0.0553  0.0532  0.1651  0.09
Kushner 1990   47  0.5246  0.0035  0.0550  0.0537  0.0860  0.06
Lilamand 2001   51  0.5031  0.0047  0.0559  0.055  0.5929  0.17
Luisada 1990   37  0.5455  0.0032  0.0632  0.1233  0.1239  0.12
Luisada 2008   56  0.4738  0.0053  0.0551  0.0536  0.1157  0.07
Lushtak 2004   34  0.5534  0.0033  0.0547  0.0545  0.0663  0.05
Malcuzynski 1951   30  0.5661  0.0034  0.0645  0.0629  0.2642  0.12
Malcuzynski 1961   11  0.6129  0.0013  0.1413  0.5522  0.4217  0.48
Magaloff 1977   53  0.5048  0.0055  0.0639  0.0622  0.3135  0.14
Magin 1975   39  0.5325  0.0044  0.0640  0.0645  0.0856  0.07
Meguri 1997   54  0.4918  0.0058  0.0734  0.0748  0.0561  0.06
Milkina 1970   13  0.6113  0.0110  0.1012  0.5621  0.3719  0.46
Mohovich 1999   21  0.5827  0.0017  0.1616  0.5215  0.4318  0.47
Nezu 2005   18  0.5941  0.0022  0.1223  0.3339  0.0930  0.17
Ohlsson 1999   24  0.5720  0.0021  0.1422  0.3824  0.3622  0.37
Olejniczak 1990   29  0.5652  0.0031  0.0631  0.1333  0.1046  0.11
Osinska 1989   5  0.6333  0.008  0.1410  0.5827  0.3020  0.42
Perlemuter 1992   57  0.4463  0.0061  0.0638  0.0619  0.2936  0.13
Poblocka 1999   19  0.5865  0.0025  0.1026  0.2932  0.1825  0.23
Rangell 2001   50  0.5149  0.0056  0.0641  0.0628  0.2441  0.12
Richter 1960   43  0.5237  0.0039  0.0548  0.0521  0.3834  0.14
Richter 1961   58  0.4451  0.0060  0.0644  0.0638  0.0758  0.06
Rosen 1989   27  0.5644  0.0036  0.0556  0.0546  0.0664  0.05
Rubinstein 1939   40  0.5328  0.0042  0.0642  0.0631  0.1350  0.09
Rubinstein 1952   22  0.585  0.0115  0.1714  0.5314  0.5312  0.53
Rubinstein 1966   10  0.6124  0.007  0.126  0.6316  0.557  0.59
Rudanovskaya 2007   32  0.5516  0.0027  0.0929  0.179  0.4924  0.29
Shebanova 2002   26  0.5717  0.0018  0.1719  0.476  0.619  0.54
Smith 1975   12  0.6110  0.0112  0.1211  0.577  0.714  0.64
Sztompka 1959   38  0.5421  0.0050  0.0637  0.0616  0.4728  0.17
Tanyel 1992   33  0.5514  0.0126  0.1225  0.3223  0.4921  0.40
Tsujii 2005   2  0.667  0.013  0.202  0.7622  0.3910  0.54
Uninsky 1959   7  0.639  0.0114  0.197  0.6215  0.4611  0.53
Vardi 1988   25  0.5722  0.0019  0.1818  0.5013  0.608  0.55
Wasowski 1980   55  0.4962  0.0057  0.0733  0.0738  0.1053  0.08
Zimerman 1975   36  0.558  0.0128  0.0530  0.1535  0.1137  0.13
Random 1   66  0.0064  0.0066  0.0166  0.0151  0.0366  0.02
Random 2   64  0.0366  0.0065  0.0265  0.0213  0.3952  0.09
Random 3   65  0.0356  0.0064  0.0364  0.036  0.4740  0.12

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).