Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   61  0.3946  0.0038  0.0839  0.0829  0.2836  0.15
Ax 1995   29  0.5413  0.0013  0.1316  0.4919  0.4217  0.45
Bacha 1998   36  0.5121  0.0037  0.0936  0.0913  0.5628  0.22
Barbosa 1983   48  0.4612  0.0036  0.0840  0.0829  0.2438  0.14
BenOr 1989   39  0.5040  0.0041  0.1035  0.1039  0.0852  0.09
Biret 1990   35  0.5151  0.0034  0.0938  0.0932  0.1745  0.12
Brailowsky 1960   22  0.554  0.0111  0.1612  0.608  0.666  0.63
Chiu 1999   37  0.5129  0.0044  0.0937  0.0915  0.5227  0.22
Clidat 1994   53  0.4539  0.0042  0.0743  0.0725  0.2044  0.12
Cohen 1997   64  0.3035  0.0064  0.0556  0.0545  0.0565  0.05
Cortot 1951   55  0.4510  0.0060  0.0560  0.0524  0.2746  0.12
Csalog 1996   13  0.5824  0.0017  0.1715  0.5315  0.5314  0.53
Czerny 1989   28  0.5420  0.0018  0.1421  0.4322  0.4020  0.41
Ezaki 2006   46  0.4762  0.0049  0.0649  0.0640  0.0756  0.06
Falvay 1989   3  0.6423  0.003  0.343  0.8217  0.524  0.65
Fiorentino 1962   34  0.5118  0.0035  0.1034  0.1043  0.0951  0.09
Fliere 1977   21  0.5515  0.0022  0.0925  0.3616  0.4719  0.41
Fou 1978   26  0.5436  0.0029  0.1027  0.3443  0.0735  0.15
Francois 1956   15  0.5728  0.0019  0.1320  0.445  0.6811  0.55
Goldenweiser 1946   47  0.468  0.0145  0.0747  0.0722  0.2339  0.13
Gornostaeva 1994   62  0.3867  0.0059  0.0555  0.0540  0.0759  0.06
Groot 1988   10  0.5922  0.007  0.239  0.6212  0.5510  0.58
Hatto 1993   25  0.5549  0.0031  0.1231  0.2641  0.0743  0.13
Hatto 1997   18  0.5652  0.0028  0.1228  0.3335  0.1033  0.18
Horszowski 1983   59  0.4141  0.0058  0.0464  0.0434  0.1453  0.07
Indjic 2001   14  0.5754  0.0025  0.1019  0.4437  0.0929  0.20
Katin 1996   27  0.5453  0.0030  0.1329  0.3135  0.1032  0.18
Kiepura 1999   49  0.4657  0.0052  0.0562  0.0545  0.0757  0.06
Korecka 1992   42  0.4948  0.0046  0.0648  0.0627  0.3237  0.14
Kushner 1990   16  0.579  0.0110  0.1213  0.586  0.648  0.61
Lilamand 2001   51  0.4525  0.0054  0.0653  0.0614  0.4534  0.16
Luisada 1990   33  0.5234  0.0033  0.1032  0.1940  0.0941  0.13
Luisada 2008   23  0.553  0.0214  0.1617  0.4515  0.6215  0.53
Lushtak 2004   40  0.5047  0.0023  0.1030  0.2929  0.2226  0.25
Malcuzynski 1951   19  0.5631  0.0020  0.1222  0.4111  0.5416  0.47
Malcuzynski 1961   7  0.606  0.019  0.127  0.6720  0.4413  0.54
Magaloff 1977   54  0.4545  0.0050  0.0561  0.0521  0.3440  0.13
Magin 1975   24  0.5514  0.0021  0.0918  0.4425  0.4018  0.42
Meguri 1997   58  0.4159  0.0061  0.0652  0.0657  0.0461  0.05
Milkina 1970   6  0.6127  0.004  0.256  0.7112  0.575  0.64
Mohovich 1999   38  0.5066  0.0040  0.0841  0.0841  0.0654  0.07
Nezu 2005   17  0.5617  0.0026  0.1123  0.4131  0.1925  0.28
Ohlsson 1999   20  0.5511  0.0027  0.1226  0.3428  0.3324  0.33
Olejniczak 1990   41  0.5064  0.0043  0.0745  0.0741  0.0755  0.07
Osinska 1989   11  0.5843  0.0016  0.1314  0.5830  0.2622  0.39
Perlemuter 1992   52  0.4526  0.0056  0.0746  0.077  0.5030  0.19
Poblocka 1999   8  0.607  0.0112  0.178  0.6611  0.617  0.63
Rangell 2001   60  0.4060  0.0062  0.0650  0.0660  0.0466  0.05
Richter 1960   57  0.4437  0.0057  0.0558  0.0551  0.0562  0.05
Richter 1961   63  0.3450  0.0063  0.0554  0.0551  0.0560  0.05
Rosen 1989   44  0.4742  0.0051  0.0559  0.0552  0.0563  0.05
Rubinstein 1939   4  0.625  0.016  0.344  0.793  0.772  0.78
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   2  0.692  0.102  0.742  0.892  0.821  0.85
Rudanovskaya 2007   45  0.4732  0.0053  0.0563  0.0524  0.2647  0.11
Shebanova 2002   43  0.4838  0.0047  0.0651  0.0632  0.1449  0.09
Smith 1975   5  0.6116  0.005  0.235  0.725  0.753  0.73
Sztompka 1959   32  0.5233  0.0039  0.0742  0.0714  0.5231  0.19
Tanyel 1992   50  0.4563  0.0048  0.0557  0.0542  0.0858  0.06
Tsujii 2005   9  0.6030  0.008  0.1410  0.6129  0.2423  0.38
Uninsky 1959   12  0.5819  0.0015  0.1411  0.6113  0.4712  0.54
Vardi 1988   30  0.5344  0.0024  0.1124  0.4024  0.4321  0.41
Wasowski 1980   56  0.4455  0.0055  0.0744  0.0733  0.1448  0.10
Zimerman 1975   31  0.5261  0.0032  0.0833  0.1838  0.0942  0.13
Average   1  0.721  0.761  0.751  0.9225  0.399  0.60
Random 1   66  0.0165  0.0067  0.0167  0.0118  0.2364  0.05
Random 2   65  0.0658  0.0065  0.0265  0.0210  0.4250  0.09
Random 3   67  0.0056  0.0066  0.0266  0.0253  0.0467  0.03

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).