Nezu 2005

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   38  0.5725  0.0044  0.0846  0.0831  0.2145  0.13
Ax 1995   28  0.6141  0.0033  0.0941  0.0937  0.1150  0.10
Bacha 1998   37  0.5751  0.0039  0.1039  0.1013  0.4932  0.22
Barbosa 1983   27  0.6221  0.0029  0.0928  0.278  0.4625  0.35
BenOr 1989   7  0.7112  0.018  0.196  0.762  0.684  0.72
Biret 1990   36  0.5743  0.0035  0.1037  0.1023  0.3137  0.18
Brailowsky 1960   41  0.5662  0.0041  0.0847  0.0853  0.0655  0.07
Chiu 1999   46  0.5320  0.0042  0.0754  0.073  0.6534  0.21
Clidat 1994   45  0.5427  0.0032  0.0932  0.1618  0.4031  0.25
Cohen 1997   59  0.3761  0.0058  0.0462  0.0413  0.4446  0.13
Cortot 1951   63  0.3346  0.0063  0.0656  0.0651  0.0464  0.05
Csalog 1996   49  0.5137  0.0047  0.0751  0.0727  0.2741  0.14
Czerny 1989   33  0.5814  0.0030  0.0830  0.1936  0.0943  0.13
Ezaki 2006   24  0.6442  0.0025  0.1223  0.4313  0.4917  0.46
Falvay 1989   4  0.747  0.033  0.242  0.8110  0.569  0.67
Fiorentino 1962   25  0.6328  0.0026  0.1024  0.4132  0.1729  0.26
Fliere 1977   52  0.4556  0.0052  0.0750  0.0736  0.0854  0.07
Fou 1978   14  0.684  0.0510  0.1913  0.6012  0.5513  0.57
Francois 1956   47  0.5352  0.0049  0.1234  0.1231  0.1447  0.13
Goldenweiser 1946   60  0.3763  0.0062  0.0557  0.0554  0.0560  0.05
Gornostaeva 1994   56  0.4257  0.0054  0.0849  0.0854  0.0557  0.06
Groot 1988   39  0.5618  0.0040  0.0752  0.0754  0.0558  0.06
Hatto 1993   5  0.729  0.026  0.258  0.7411  0.658  0.69
Hatto 1997   2  0.742  0.184  0.314  0.786  0.692  0.73
Horszowski 1983   61  0.3560  0.0061  0.0463  0.0436  0.0659  0.05
Indjic 2001   3  0.745  0.045  0.325  0.778  0.665  0.71
Katin 1996   21  0.6523  0.0021  0.1721  0.4923  0.3720  0.43
Kiepura 1999   32  0.6035  0.0037  0.0845  0.0838  0.1349  0.10
Korecka 1992   44  0.5434  0.0043  0.0843  0.0823  0.4536  0.19
Kushner 1990   26  0.6240  0.0023  0.1426  0.3716  0.4522  0.41
Lilamand 2001   54  0.4332  0.0056  0.0559  0.0513  0.4042  0.14
Luisada 1990   12  0.6910  0.0116  0.1214  0.603  0.7210  0.66
Luisada 2008   13  0.688  0.0215  0.1116  0.578  0.7112  0.64
Lushtak 2004   20  0.6511  0.0122  0.1425  0.3922  0.2926  0.34
Malcuzynski 1951   16  0.6730  0.0018  0.1917  0.5631  0.2027  0.33
Malcuzynski 1961   23  0.6419  0.0014  0.1420  0.5129  0.2924  0.38
Magaloff 1977   53  0.4315  0.0053  0.0942  0.0939  0.0853  0.08
Magin 1975   19  0.6547  0.0024  0.1022  0.4320  0.3921  0.41
Meguri 1997   51  0.4650  0.0051  0.0940  0.0928  0.2739  0.16
Milkina 1970   6  0.723  0.082  0.253  0.815  0.616  0.70
Mohovich 1999   43  0.5465  0.0048  0.0844  0.0845  0.0656  0.07
Nezu 2005   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   11  0.6913  0.0111  0.189  0.745  0.713  0.72
Olejniczak 1990   9  0.706  0.047  0.2111  0.686  0.6311  0.65
Osinska 1989   15  0.6726  0.0017  0.1312  0.6127  0.3019  0.43
Perlemuter 1992   55  0.4258  0.0055  0.0755  0.0712  0.3440  0.15
Poblocka 1999   1  0.761  0.451  0.451  0.841  0.841  0.84
Rangell 2001   42  0.5545  0.0045  0.0848  0.089  0.6033  0.22
Richter 1960   57  0.4253  0.0057  0.0558  0.0539  0.0562  0.05
Richter 1961   62  0.3564  0.0060  0.0560  0.0543  0.0661  0.05
Rosen 1989   34  0.5829  0.0027  0.0931  0.1632  0.1938  0.17
Rubinstein 1939   35  0.5822  0.0036  0.1135  0.1127  0.3735  0.20
Rubinstein 1952   30  0.6048  0.0028  0.1027  0.3022  0.3728  0.33
Rubinstein 1966   18  0.6639  0.0013  0.1615  0.6016  0.4516  0.52
Rudanovskaya 2007   58  0.3854  0.0059  0.0461  0.0436  0.0763  0.05
Shebanova 2002   48  0.5131  0.0050  0.1333  0.1316  0.4730  0.25
Smith 1975   40  0.5638  0.0038  0.1038  0.1045  0.0851  0.09
Sztompka 1959   50  0.5055  0.0046  0.0753  0.0730  0.2148  0.12
Tanyel 1992   22  0.6524  0.0019  0.1218  0.5627  0.3418  0.44
Tsujii 2005   10  0.6933  0.0012  0.1610  0.7017  0.4515  0.56
Uninsky 1959   31  0.6049  0.0034  0.1136  0.1142  0.0752  0.09
Vardi 1988   17  0.6617  0.0020  0.1519  0.5511  0.6014  0.57
Wasowski 1980   29  0.6116  0.0031  0.1129  0.224  0.7323  0.40
Zimerman 1975   8  0.7136  0.009  0.237  0.759  0.637  0.69
Random 1   66  -0.1166  0.0066  0.0166  0.0164  0.0266  0.01
Random 2   64  0.0544  0.0064  0.0364  0.038  0.5344  0.13
Random 3   65  0.0059  0.0065  0.0365  0.0334  0.0665  0.04

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).