Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   16  0.7517  0.0111  0.157  0.657  0.5810  0.61
Ax 1995   41  0.6947  0.0046  0.0743  0.0760  0.0561  0.06
Bacha 1998   38  0.6942  0.0041  0.0742  0.0719  0.3734  0.16
Barbosa 1983   53  0.6460  0.0026  0.0926  0.2217  0.4924  0.33
BenOr 1989   49  0.6658  0.0042  0.0834  0.0827  0.1642  0.11
Biret 1990   28  0.7261  0.0035  0.0838  0.0840  0.0851  0.08
Brailowsky 1960   25  0.7243  0.0020  0.1020  0.404  0.6715  0.52
Chiu 1999   24  0.7353  0.0018  0.1122  0.368  0.6017  0.46
Clidat 1994   21  0.7411  0.0113  0.1612  0.575  0.679  0.62
Cohen 1997   62  0.5523  0.0062  0.0456  0.0418  0.3440  0.12
Cortot 1951   63  0.5149  0.0063  0.0651  0.0621  0.1845  0.10
Csalog 1996   15  0.7522  0.0028  0.0727  0.199  0.5426  0.32
Czerny 1989   45  0.6757  0.0047  0.0745  0.0754  0.0558  0.06
Ezaki 2006   34  0.7025  0.0045  0.0648  0.0635  0.0953  0.07
Falvay 1989   3  0.793  0.054  0.193  0.6914  0.4614  0.56
Fiorentino 1962   22  0.7420  0.0133  0.0840  0.0841  0.0849  0.08
Fliere 1977   18  0.7455  0.0031  0.0631  0.1427  0.2033  0.17
Fou 1978   42  0.6964  0.0036  0.0839  0.0841  0.0847  0.08
Francois 1956   31  0.729  0.0124  0.0924  0.261  0.7519  0.44
Goldenweiser 1946   60  0.5844  0.0060  0.0462  0.0439  0.0763  0.05
Gornostaeva 1994   58  0.5937  0.0055  0.0552  0.0536  0.0762  0.06
Groot 1988   14  0.7528  0.0021  0.1218  0.4117  0.3922  0.40
Hatto 1993   6  0.7845  0.006  0.124  0.698  0.645  0.66
Hatto 1997   4  0.7912  0.013  0.232  0.735  0.692  0.71
Horszowski 1983   59  0.5932  0.0061  0.0461  0.0449  0.0565  0.04
Indjic 2001   7  0.7838  0.007  0.196  0.678  0.636  0.65
Katin 1996   5  0.784  0.045  0.169  0.637  0.657  0.64
Kiepura 1999   61  0.5731  0.0059  0.0363  0.0353  0.0564  0.04
Korecka 1992   55  0.6221  0.0157  0.0460  0.0423  0.2841  0.11
Kushner 1990   54  0.6341  0.0027  0.0730  0.1628  0.2331  0.19
Lilamand 2001   57  0.6246  0.0051  0.0457  0.045  0.5337  0.15
Luisada 1990   35  0.7051  0.0034  0.0836  0.0824  0.4032  0.18
Luisada 2008   36  0.7048  0.0038  0.1033  0.1019  0.5328  0.23
Lushtak 2004   26  0.7234  0.0029  0.0729  0.1623  0.3429  0.23
Malcuzynski 1951   40  0.6914  0.0122  0.1223  0.2917  0.4023  0.34
Malcuzynski 1961   32  0.7027  0.0016  0.1516  0.5127  0.2025  0.32
Magaloff 1977   46  0.6736  0.0044  0.0746  0.0734  0.1048  0.08
Magin 1975   19  0.7416  0.0123  0.1421  0.3912  0.5018  0.44
Meguri 1997   51  0.6639  0.0056  0.0458  0.0430  0.1356  0.07
Milkina 1970   13  0.767  0.019  0.1910  0.622  0.743  0.68
Mohovich 1999   29  0.7250  0.0030  0.0728  0.1731  0.1635  0.16
Nezu 2005   27  0.7210  0.0119  0.1119  0.4123  0.2127  0.29
Ohlsson 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Olejniczak 1990   39  0.6962  0.0043  0.0835  0.0833  0.0952  0.08
Osinska 1989   23  0.7330  0.0032  0.0732  0.1450  0.0646  0.09
Perlemuter 1992   48  0.6652  0.0053  0.0459  0.042  0.5536  0.15
Poblocka 1999   12  0.766  0.0215  0.2014  0.5521  0.4316  0.49
Rangell 2001   47  0.6765  0.0052  0.0553  0.0532  0.1350  0.08
Richter 1960   52  0.6618  0.0150  0.0647  0.0631  0.1743  0.10
Richter 1961   56  0.6224  0.0058  0.0554  0.0533  0.0954  0.07
Rosen 1989   33  0.7013  0.0139  0.0650  0.0625  0.3638  0.15
Rubinstein 1939   8  0.775  0.0310  0.178  0.644  0.694  0.66
Rubinstein 1952   17  0.7535  0.0014  0.2013  0.566  0.5813  0.57
Rubinstein 1966   11  0.7626  0.0017  0.1117  0.4522  0.3621  0.40
Rudanovskaya 2007   44  0.6859  0.0054  0.0455  0.0413  0.4039  0.13
Shebanova 2002   9  0.7719  0.018  0.1411  0.586  0.6211  0.60
Smith 1975   10  0.778  0.0112  0.1515  0.543  0.718  0.62
Sztompka 1959   20  0.7415  0.0125  0.0825  0.252  0.7220  0.42
Tanyel 1992   43  0.6854  0.0048  0.0649  0.0639  0.0759  0.06
Tsujii 2005   2  0.812  0.152  0.225  0.6812  0.4812  0.57
Uninsky 1959   1  0.821  0.531  0.521  0.821  0.831  0.82
Vardi 1988   50  0.6629  0.0049  0.0744  0.0741  0.0755  0.07
Wasowski 1980   37  0.6940  0.0037  0.0837  0.0814  0.5130  0.20
Zimerman 1975   30  0.7233  0.0040  0.0741  0.0759  0.0560  0.06
Random 1   66  -0.0556  0.0066  0.0166  0.0162  0.0266  0.01
Random 2   65  0.0166  0.0065  0.0265  0.024  0.4844  0.10
Random 3   64  0.0263  0.0064  0.0264  0.0221  0.2557  0.07

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).