Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   28  0.7939  0.0027  0.0726  0.2060  0.0332  0.08
Ax 1995   39  0.784  0.0615  0.0822  0.2317  0.2711  0.25
Bacha 1998   47  0.7525  0.0047  0.0935  0.0949  0.0535  0.07
Barbosa 1983   45  0.766  0.034  0.198  0.4911  0.514  0.50
BenOr 1989   21  0.8159  0.0033  0.0534  0.0947  0.0636  0.07
Biret 1990   26  0.8021  0.0143  0.0547  0.0551  0.0549  0.05
Brailowsky 1960   46  0.7533  0.0046  0.1032  0.1052  0.0534  0.07
Chiu 1999   31  0.7944  0.0041  0.0739  0.0757  0.0442  0.05
Clidat 1994   58  0.6912  0.0153  0.0555  0.0562  0.0355  0.04
Cohen 1997   64  0.5465  0.0065  0.0265  0.0261  0.0367  0.02
Cortot 1951   55  0.7155  0.0051  0.0545  0.0553  0.0460  0.04
Csalog 1996   34  0.7924  0.0036  0.0546  0.0557  0.0453  0.04
Czerny 1989   48  0.7461  0.0042  0.0736  0.0740  0.0537  0.06
Ezaki 2006   13  0.8234  0.0035  0.0552  0.0524  0.2325  0.11
Falvay 1989   15  0.828  0.0238  0.0643  0.0663  0.0352  0.04
Fiorentino 1962   40  0.7856  0.0057  0.0641  0.0663  0.0358  0.04
Fliere 1977   8  0.8558  0.0011  0.0910  0.4133  0.1215  0.22
Fou 1978   32  0.795  0.0510  0.0916  0.3124  0.238  0.27
Francois 1956   54  0.7219  0.0152  0.0553  0.0537  0.0741  0.06
Goldenweiser 1946   53  0.7211  0.0119  0.0917  0.3145  0.0621  0.14
Gornostaeva 1994   30  0.7941  0.0039  0.0642  0.0650  0.0448  0.05
Groot 1988   11  0.8360  0.0025  0.0625  0.2155  0.0429  0.09
Hatto 1993   3  0.8816  0.013  0.203  0.6411  0.473  0.55
Hatto 1997   4  0.872  0.122  0.252  0.6611  0.462  0.55
Horszowski 1983   42  0.7722  0.0112  0.1118  0.3047  0.0623  0.13
Indjic 2001   5  0.8747  0.005  0.234  0.6214  0.415  0.50
Katin 1996   14  0.8245  0.0037  0.0548  0.0545  0.0644  0.05
Kiepura 1999   63  0.6252  0.0059  0.0461  0.0444  0.0550  0.04
Korecka 1992   33  0.7926  0.0028  0.1024  0.2230  0.1616  0.19
Kushner 1990   61  0.6740  0.0048  0.0550  0.0541  0.0645  0.05
Lilamand 2001   56  0.7110  0.0231  0.0529  0.129  0.4514  0.23
Luisada 1990   22  0.8054  0.0024  0.0627  0.2045  0.0528  0.10
Luisada 2008   23  0.8064  0.0026  0.0628  0.1555  0.0430  0.08
Lushtak 2004   37  0.7851  0.0050  0.0644  0.0647  0.0546  0.05
Malcuzynski 1951   59  0.689  0.0223  0.0821  0.2515  0.2412  0.24
Malcuzynski 1961   38  0.7818  0.019  0.0911  0.4038  0.0619  0.15
Magaloff 1977   7  0.8514  0.018  0.227  0.4929  0.159  0.27
Magin 1975   1  0.891  0.411  0.401  0.712  0.561  0.63
Meguri 1997   43  0.7648  0.0055  0.0456  0.0459  0.0363  0.03
Milkina 1970   17  0.8213  0.0113  0.139  0.4130  0.1610  0.26
Mohovich 1999   50  0.7338  0.0056  0.0554  0.0564  0.0357  0.04
Nezu 2005   29  0.7917  0.0130  0.0531  0.1050  0.0439  0.06
Ohlsson 1999   6  0.863  0.076  0.236  0.5220  0.386  0.44
Olejniczak 1990   10  0.8430  0.0018  0.0920  0.2649  0.0527  0.11
Osinska 1989   16  0.8229  0.0029  0.0530  0.1157  0.0433  0.07
Perlemuter 1992   18  0.8242  0.0022  0.1023  0.236  0.367  0.29
Poblocka 1999   19  0.8115  0.0134  0.0549  0.0560  0.0451  0.04
Rangell 2001   44  0.7643  0.0054  0.0458  0.0455  0.0459  0.04
Richter 1960   57  0.7066  0.0060  0.0460  0.0447  0.0554  0.04
Richter 1961   62  0.6657  0.0062  0.0459  0.0462  0.0361  0.03
Rosen 1989   36  0.7862  0.0032  0.0533  0.1044  0.0631  0.08
Rubinstein 1939   49  0.7436  0.0045  0.0640  0.0658  0.0443  0.05
Rubinstein 1952   41  0.7720  0.0120  0.0915  0.3236  0.0917  0.17
Rubinstein 1966   27  0.8031  0.0040  0.0737  0.0748  0.0538  0.06
Rudanovskaya 2007   51  0.7335  0.0063  0.0363  0.0364  0.0266  0.02
Shebanova 2002   20  0.8163  0.0021  0.1012  0.3839  0.0718  0.16
Smith 1975   9  0.8427  0.0017  0.1013  0.3832  0.1413  0.23
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tanyel 1992   52  0.7267  0.0058  0.0457  0.0464  0.0364  0.03
Tsujii 2005   25  0.8050  0.0049  0.0551  0.0565  0.0356  0.04
Uninsky 1959   12  0.8246  0.0016  0.0719  0.2934  0.0722  0.14
Vardi 1988   60  0.6823  0.0161  0.0362  0.0363  0.0362  0.03
Wasowski 1980   35  0.7937  0.0014  0.0914  0.3553  0.0524  0.13
Zimerman 1975   24  0.8028  0.0044  0.0738  0.0760  0.0447  0.05
Average   2  0.897  0.037  0.245  0.5557  0.0420  0.15
Random 1   67  -0.1053  0.0067  0.0167  0.0127  0.1065  0.03
Random 2   66  0.1232  0.0066  0.0266  0.021  0.6026  0.11
Random 3   65  0.1649  0.0064  0.0264  0.0224  0.1940  0.06

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).