Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   15  0.7925  0.0014  0.1410  0.5035  0.0922  0.21
Ax 1995   28  0.7614  0.0124  0.0724  0.2633  0.1425  0.19
Bacha 1998   35  0.7426  0.0043  0.0746  0.0742  0.0549  0.06
Barbosa 1983   46  0.7237  0.009  0.1714  0.4410  0.516  0.47
BenOr 1989   36  0.7432  0.0028  0.0828  0.2222  0.2621  0.24
Biret 1990   29  0.7536  0.0036  0.0649  0.0643  0.0653  0.06
Brailowsky 1960   55  0.6846  0.0057  0.0556  0.0544  0.0654  0.05
Chiu 1999   4  0.844  0.093  0.265  0.664  0.671  0.66
Clidat 1994   34  0.7448  0.0037  0.0745  0.0735  0.0841  0.07
Cohen 1997   62  0.5749  0.0063  0.0464  0.0462  0.0463  0.04
Cortot 1951   64  0.5252  0.0064  0.0554  0.0553  0.0464  0.04
Csalog 1996   44  0.7254  0.0053  0.0651  0.0642  0.0651  0.06
Czerny 1989   31  0.7547  0.0025  0.0920  0.3010  0.4615  0.37
Ezaki 2006   14  0.7918  0.0119  0.0719  0.3518  0.4014  0.37
Falvay 1989   22  0.7719  0.0135  0.1034  0.1039  0.0639  0.08
Fiorentino 1962   7  0.8211  0.0211  0.1413  0.4822  0.3413  0.40
Fliere 1977   11  0.8022  0.0020  0.0725  0.2553  0.0534  0.11
Fou 1978   10  0.806  0.036  0.289  0.559  0.575  0.56
Francois 1956   27  0.7615  0.0122  0.0726  0.257  0.5616  0.37
Goldenweiser 1946   63  0.5356  0.0062  0.0559  0.0538  0.0745  0.06
Gornostaeva 1994   33  0.7440  0.0017  0.1115  0.389  0.539  0.45
Groot 1988   21  0.7724  0.0034  0.1036  0.1035  0.0838  0.09
Hatto 1993   24  0.7664  0.0031  0.1022  0.2637  0.0828  0.14
Hatto 1997   26  0.7665  0.0032  0.0727  0.2239  0.0732  0.12
Horszowski 1983   52  0.6957  0.0042  0.0558  0.0535  0.0844  0.06
Indjic 2001   25  0.7660  0.0033  0.1129  0.2135  0.0830  0.13
Katin 1996   9  0.8131  0.0015  0.1411  0.4924  0.447  0.46
Kiepura 1999   60  0.6228  0.0054  0.0652  0.0628  0.1933  0.11
Korecka 1992   61  0.6129  0.0061  0.0462  0.0450  0.0461  0.04
Kushner 1990   57  0.6539  0.0041  0.0744  0.0741  0.0550  0.06
Lilamand 2001   51  0.6920  0.0049  0.0648  0.0611  0.4926  0.17
Luisada 1990   45  0.7235  0.0039  0.0939  0.0957  0.0452  0.06
Luisada 2008   37  0.7343  0.0044  0.0650  0.0641  0.0556  0.05
Lushtak 2004   30  0.7544  0.0029  0.0933  0.1945  0.0536  0.10
Malcuzynski 1951   50  0.7012  0.0223  0.0721  0.2728  0.1723  0.21
Malcuzynski 1961   38  0.7327  0.0018  0.1016  0.3848  0.0527  0.14
Magaloff 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   40  0.7366  0.0045  0.0840  0.0857  0.0448  0.06
Meguri 1997   16  0.798  0.0210  0.1617  0.385  0.5211  0.44
Milkina 1970   5  0.8310  0.025  0.247  0.638  0.603  0.61
Mohovich 1999   47  0.7155  0.0050  0.0741  0.0758  0.0458  0.05
Nezu 2005   19  0.7823  0.0012  0.1112  0.4926  0.2317  0.34
Ohlsson 1999   12  0.7934  0.0021  0.0718  0.3626  0.2618  0.31
Olejniczak 1990   43  0.7250  0.0046  0.0560  0.0535  0.0660  0.05
Osinska 1989   42  0.7338  0.0026  0.0730  0.2043  0.0635  0.11
Perlemuter 1992   53  0.6951  0.0055  0.0743  0.0741  0.0546  0.06
Poblocka 1999   17  0.7833  0.0030  0.0932  0.2035  0.0929  0.13
Rangell 2001   32  0.7541  0.0047  0.0561  0.0537  0.0659  0.05
Richter 1960   58  0.6445  0.0058  0.0653  0.0635  0.0840  0.07
Richter 1961   59  0.6363  0.0060  0.0747  0.0749  0.0547  0.06
Rosen 1989   39  0.7316  0.0151  0.0937  0.0940  0.0543  0.07
Rubinstein 1939   13  0.799  0.0213  0.128  0.5616  0.3410  0.44
Rubinstein 1952   8  0.815  0.067  0.264  0.6711  0.554  0.61
Rubinstein 1966   3  0.852  0.222  0.293  0.6811  0.572  0.62
Rudanovskaya 2007   56  0.6859  0.0059  0.0557  0.0546  0.0557  0.05
Shebanova 2002   6  0.827  0.038  0.226  0.6425  0.328  0.45
Smith 1975   23  0.7613  0.0140  0.0742  0.0723  0.2231  0.12
Sztompka 1959   54  0.6961  0.0056  0.0463  0.0451  0.0562  0.04
Tanyel 1992   48  0.7121  0.0052  0.0938  0.0947  0.0542  0.07
Tsujii 2005   2  0.853  0.104  0.232  0.7222  0.2612  0.43
Uninsky 1959   20  0.7717  0.0116  0.1023  0.2627  0.2519  0.25
Vardi 1988   49  0.7053  0.0048  0.0555  0.0550  0.0555  0.05
Wasowski 1980   41  0.7342  0.0027  0.0731  0.2027  0.1924  0.19
Zimerman 1975   18  0.7830  0.0038  0.1035  0.1034  0.0837  0.09
Average   1  0.861  0.271  0.261  0.7937  0.0820  0.25
Random 1   67  -0.1158  0.0067  0.0167  0.0138  0.0466  0.02
Random 2   66  0.0067  0.0066  0.0266  0.0237  0.0665  0.03
Random 3   65  0.0162  0.0065  0.0265  0.0250  0.0367  0.02

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).