Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   54  0.3822  0.0015  0.1020  0.4441  0.0622  0.16
Ax 1995   42  0.4461  0.0035  0.0842  0.0849  0.0839  0.08
Bacha 1998   49  0.4235  0.0045  0.0748  0.0741  0.0740  0.07
Barbosa 1983   60  0.3466  0.0056  0.0650  0.0659  0.0553  0.05
BenOr 1989   13  0.538  0.0118  0.1018  0.4443  0.0623  0.16
Biret 1990   50  0.4142  0.0050  0.0654  0.0658  0.0556  0.05
Brailowsky 1960   12  0.5320  0.0016  0.1110  0.5830  0.204  0.34
Chiu 1999   46  0.4353  0.0042  0.0747  0.0758  0.0452  0.05
Clidat 1994   38  0.4633  0.0021  0.0923  0.3449  0.0626  0.14
Cohen 1997   61  0.3250  0.0058  0.0460  0.0449  0.0563  0.04
Cortot 1951   57  0.3621  0.0062  0.0364  0.0364  0.0366  0.03
Csalog 1996   28  0.4929  0.0037  0.1039  0.1034  0.0736  0.08
Czerny 1989   40  0.4558  0.0041  0.1235  0.1262  0.0347  0.06
Ezaki 2006   24  0.4940  0.0038  0.1334  0.1339  0.0732  0.10
Falvay 1989   6  0.567  0.015  0.186  0.7451  0.0611  0.21
Fiorentino 1962   31  0.4960  0.0034  0.0746  0.0756  0.0551  0.06
Fliere 1977   48  0.4359  0.0051  0.0652  0.0651  0.0645  0.06
Fou 1978   26  0.4916  0.0026  0.0926  0.2663  0.0335  0.09
Francois 1956   52  0.4154  0.0049  0.0558  0.0556  0.0557  0.05
Goldenweiser 1946   58  0.3438  0.0059  0.0461  0.0450  0.0559  0.04
Gornostaeva 1994   62  0.3248  0.0063  0.0462  0.0450  0.0564  0.04
Groot 1988   17  0.5223  0.009  0.1411  0.5837  0.0810  0.22
Hatto 1993   19  0.5232  0.0010  0.1416  0.4542  0.0624  0.16
Hatto 1997   20  0.5236  0.0012  0.0919  0.4441  0.0714  0.18
Horszowski 1983   64  0.2934  0.0060  0.0363  0.0345  0.0558  0.04
Indjic 2001   15  0.5225  0.0013  0.1314  0.4740  0.0715  0.18
Katin 1996   16  0.5230  0.0025  0.1125  0.3254  0.0527  0.13
Kiepura 1999   53  0.3941  0.0055  0.0749  0.0754  0.0544  0.06
Korecka 1992   47  0.4343  0.0052  0.0651  0.0651  0.0646  0.06
Kushner 1990   18  0.5211  0.0120  0.1017  0.4550  0.0621  0.16
Lilamand 2001   55  0.3847  0.0054  0.0653  0.0650  0.0554  0.05
Luisada 1990   5  0.572  0.033  0.323  0.7826  0.292  0.48
Luisada 2008   35  0.476  0.0228  0.0829  0.2339  0.0925  0.14
Lushtak 2004   34  0.4749  0.0043  0.0844  0.0859  0.0450  0.06
Malcuzynski 1951   10  0.533  0.0314  0.1012  0.5150  0.0618  0.17
Malcuzynski 1961   14  0.529  0.0119  0.1115  0.4751  0.0617  0.17
Magaloff 1977   25  0.4919  0.0032  0.1131  0.2224  0.306  0.26
Magin 1975   23  0.5045  0.0023  0.1024  0.3441  0.0820  0.16
Meguri 1997   51  0.4127  0.0053  0.0845  0.0855  0.0549  0.06
Milkina 1970   22  0.5046  0.0017  0.1213  0.5149  0.0713  0.19
Mohovich 1999   45  0.4465  0.0046  0.0843  0.0864  0.0355  0.05
Nezu 2005   2  0.595  0.022  0.522  0.8122  0.381  0.55
Ohlsson 1999   8  0.5414  0.008  0.287  0.6934  0.115  0.28
Olejniczak 1990   9  0.5418  0.007  0.218  0.6436  0.097  0.24
Osinska 1989   7  0.5617  0.0011  0.129  0.6351  0.0612  0.19
Perlemuter 1992   59  0.3455  0.0064  0.0556  0.0564  0.0360  0.04
Poblocka 1999   4  0.5812  0.014  0.284  0.7731  0.223  0.41
Rangell 2001   27  0.4944  0.0040  0.1236  0.1234  0.1231  0.12
Richter 1960   41  0.4528  0.0044  0.0940  0.0938  0.0642  0.07
Richter 1961   63  0.3167  0.0061  0.0559  0.0563  0.0461  0.04
Rosen 1989   30  0.4926  0.0039  0.1137  0.1142  0.0638  0.08
Rubinstein 1939   33  0.4857  0.0027  0.0728  0.2448  0.0629  0.12
Rubinstein 1952   43  0.4437  0.0033  0.0733  0.1444  0.0734  0.10
Rubinstein 1966   32  0.4856  0.0029  0.0827  0.2561  0.0433  0.10
Rudanovskaya 2007   39  0.4624  0.0048  0.0557  0.0562  0.0462  0.04
Shebanova 2002   29  0.4939  0.0036  0.1038  0.1045  0.0637  0.08
Smith 1975   21  0.5015  0.0022  0.1121  0.3648  0.0719  0.16
Sztompka 1959   44  0.4463  0.0047  0.0655  0.0644  0.0748  0.06
Tanyel 1992   37  0.4610  0.0131  0.0930  0.2344  0.0728  0.13
Tsujii 2005   3  0.5813  0.016  0.225  0.7545  0.079  0.23
Uninsky 1959   11  0.5331  0.0024  0.0922  0.3636  0.0816  0.17
Vardi 1988   56  0.3751  0.0057  0.0941  0.0960  0.0541  0.07
Wasowski 1980   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Zimerman 1975   36  0.464  0.0230  0.0732  0.2148  0.0730  0.12
Average   1  0.671  0.791  0.771  0.9052  0.068  0.23
Random 1   67  -0.0464  0.0067  0.0167  0.0164  0.0267  0.01
Random 2   65  0.0252  0.0065  0.0266  0.0227  0.2543  0.07
Random 3   66  0.0062  0.0066  0.0265  0.0248  0.0465  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).