Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   50  0.4559  0.0036  0.0842  0.0820  0.4434  0.19
Ax 1995   32  0.5318  0.0032  0.1131  0.2039  0.0943  0.13
Bacha 1998   55  0.4361  0.0050  0.0553  0.0529  0.2045  0.10
Barbosa 1983   16  0.563  0.056  0.1221  0.474  0.6712  0.56
BenOr 1989   14  0.5727  0.0017  0.1316  0.5425  0.4019  0.46
Biret 1990   11  0.5913  0.018  0.1210  0.718  0.664  0.68
Brailowsky 1960   48  0.4731  0.0043  0.0841  0.0843  0.0758  0.07
Chiu 1999   58  0.4255  0.0057  0.0562  0.0537  0.0762  0.06
Clidat 1994   47  0.4739  0.0042  0.0746  0.0733  0.0860  0.07
Cohen 1997   63  0.3049  0.0063  0.0649  0.0634  0.0961  0.07
Cortot 1951   45  0.4712  0.0158  0.0556  0.0514  0.4537  0.15
Csalog 1996   13  0.5720  0.0018  0.1513  0.6018  0.5013  0.55
Czerny 1989   27  0.5344  0.0025  0.0732  0.1935  0.0941  0.13
Ezaki 2006   36  0.5238  0.0044  0.1134  0.1143  0.0651  0.08
Falvay 1989   1  0.671  0.561  0.551  0.879  0.652  0.75
Fiorentino 1962   15  0.575  0.034  0.1512  0.6019  0.5114  0.55
Fliere 1977   41  0.5035  0.0040  0.0840  0.0838  0.0757  0.07
Fou 1978   9  0.606  0.0213  0.2311  0.6014  0.5211  0.56
Francois 1956   54  0.4436  0.0048  0.0552  0.0529  0.1455  0.08
Goldenweiser 1946   42  0.4923  0.0041  0.0743  0.0710  0.5133  0.19
Gornostaeva 1994   46  0.4719  0.0047  0.0648  0.0616  0.5136  0.17
Groot 1988   24  0.548  0.0214  0.1815  0.5519  0.4117  0.47
Hatto 1993   4  0.6328  0.0010  0.135  0.7316  0.537  0.62
Hatto 1997   5  0.6210  0.0111  0.218  0.7216  0.528  0.61
Horszowski 1983   56  0.4352  0.0054  0.0463  0.0411  0.4538  0.13
Indjic 2001   6  0.6225  0.0012  0.309  0.7121  0.509  0.60
Katin 1996   12  0.5811  0.015  0.194  0.748  0.566  0.64
Kiepura 1999   35  0.527  0.0215  0.1222  0.4613  0.6415  0.54
Korecka 1992   40  0.5015  0.0145  0.1036  0.1017  0.4830  0.22
Kushner 1990   22  0.5437  0.0030  0.1326  0.3215  0.4523  0.38
Lilamand 2001   59  0.4063  0.0060  0.0558  0.0534  0.0763  0.06
Luisada 1990   30  0.5340  0.0037  0.0839  0.0842  0.0953  0.08
Luisada 2008   23  0.5434  0.0033  0.1233  0.1220  0.5029  0.24
Lushtak 2004   19  0.559  0.0120  0.2119  0.4722  0.3422  0.40
Malcuzynski 1951   21  0.5432  0.0031  0.1229  0.2515  0.4825  0.35
Malcuzynski 1961   17  0.5657  0.0022  0.0918  0.5132  0.1627  0.29
Magaloff 1977   60  0.4045  0.0056  0.0554  0.0530  0.1749  0.09
Magin 1975   10  0.5914  0.0116  0.1614  0.5826  0.3618  0.46
Meguri 1997   49  0.4664  0.0053  0.0560  0.0528  0.1848  0.09
Milkina 1970   31  0.5348  0.0027  0.0827  0.3035  0.1135  0.18
Mohovich 1999   38  0.5133  0.0029  0.0930  0.2327  0.1832  0.20
Nezu 2005   7  0.6116  0.017  0.136  0.7313  0.585  0.65
Ohlsson 1999   39  0.5154  0.0039  0.0744  0.0739  0.0859  0.07
Olejniczak 1990   33  0.5356  0.0034  0.1037  0.1036  0.0950  0.09
Osinska 1989   8  0.6126  0.009  0.147  0.7217  0.4810  0.59
Perlemuter 1992   61  0.3860  0.0061  0.0550  0.0517  0.3539  0.13
Poblocka 1999   20  0.5517  0.0035  0.1035  0.1040  0.0947  0.09
Rangell 2001   57  0.4362  0.0059  0.0555  0.0549  0.0565  0.05
Richter 1960   52  0.4450  0.0055  0.0647  0.0631  0.1846  0.10
Richter 1961   51  0.4551  0.0051  0.0557  0.0519  0.3540  0.13
Rosen 1989   53  0.4465  0.0052  0.0551  0.0555  0.0564  0.05
Rubinstein 1939   18  0.5524  0.0019  0.1517  0.5119  0.5016  0.50
Rubinstein 1952   28  0.5346  0.0023  0.0823  0.4323  0.4021  0.41
Rubinstein 1966   25  0.5422  0.0021  0.0920  0.4728  0.2924  0.37
Rudanovskaya 2007   44  0.4821  0.0049  0.0561  0.0518  0.3542  0.13
Shebanova 2002   29  0.5330  0.0038  0.0938  0.0923  0.4331  0.20
Smith 1975   37  0.5129  0.0024  0.0928  0.2924  0.3926  0.34
Sztompka 1959   43  0.4953  0.0046  0.0745  0.0735  0.1052  0.08
Tanyel 1992   34  0.5241  0.0026  0.0724  0.3924  0.4720  0.43
Tsujii 2005   2  0.652  0.132  0.502  0.839  0.643  0.73
Uninsky 1959   26  0.5342  0.0028  0.1025  0.3529  0.1728  0.24
Vardi 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   62  0.3743  0.0062  0.0559  0.0540  0.0956  0.07
Zimerman 1975   3  0.644  0.053  0.323  0.792  0.731  0.76
Random 1   65  0.0358  0.0065  0.0265  0.0210  0.3654  0.08
Random 2   66  0.0266  0.0066  0.0166  0.0148  0.0466  0.02
Random 3   64  0.0447  0.0064  0.0364  0.039  0.4244  0.11

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).