Kushner 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   56  0.5742  0.0033  0.0732  0.1451  0.0541  0.08
Ax 1995   50  0.5938  0.0032  0.0831  0.1530  0.1625  0.15
Bacha 1998   23  0.6517  0.0120  0.1019  0.3327  0.2512  0.29
Barbosa 1983   49  0.6049  0.0027  0.0725  0.2626  0.2815  0.27
BenOr 1989   13  0.692  0.088  0.1913  0.5427  0.298  0.40
Biret 1990   18  0.6751  0.0022  0.0817  0.4251  0.0526  0.14
Brailowsky 1960   43  0.6153  0.0045  0.0453  0.0431  0.1538  0.08
Chiu 1999   55  0.5828  0.0041  0.0737  0.0742  0.0649  0.06
Clidat 1994   47  0.6032  0.0034  0.0935  0.0935  0.1037  0.09
Cohen 1997   63  0.4852  0.0063  0.0548  0.0530  0.2135  0.10
Cortot 1951   51  0.5947  0.0050  0.0460  0.0419  0.2832  0.11
Csalog 1996   44  0.6160  0.0051  0.0547  0.0543  0.0751  0.06
Czerny 1989   16  0.683  0.077  0.178  0.5610  0.522  0.54
Ezaki 2006   38  0.6324  0.0040  0.0641  0.0630  0.1633  0.10
Falvay 1989   12  0.704  0.049  0.162  0.7127  0.237  0.40
Fiorentino 1962   41  0.6234  0.0046  0.0451  0.0450  0.0565  0.04
Fliere 1977   36  0.6346  0.0043  0.0644  0.0652  0.0554  0.05
Fou 1978   34  0.6329  0.0031  0.0729  0.1647  0.0634  0.10
Francois 1956   61  0.5641  0.0056  0.0461  0.0429  0.1844  0.08
Goldenweiser 1946   39  0.6257  0.0035  0.0934  0.0958  0.0448  0.06
Gornostaeva 1994   40  0.6236  0.0048  0.0449  0.0438  0.0757  0.05
Groot 1988   25  0.6540  0.0036  0.0738  0.0746  0.0653  0.06
Hatto 1993   31  0.6364  0.0039  0.0643  0.0636  0.0947  0.07
Hatto 1997   32  0.6348  0.0037  0.0640  0.0651  0.0652  0.06
Horszowski 1983   33  0.6316  0.0125  0.0626  0.2532  0.1819  0.21
Indjic 2001   35  0.6356  0.0038  0.0836  0.0842  0.0746  0.07
Katin 1996   21  0.6544  0.0042  0.0642  0.0647  0.0650  0.06
Kiepura 1999   62  0.5659  0.0061  0.0364  0.0363  0.0467  0.03
Korecka 1992   27  0.6454  0.0044  0.0639  0.0631  0.1436  0.09
Kushner 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lilamand 2001   58  0.5735  0.0053  0.0462  0.0445  0.0656  0.05
Luisada 1990   6  0.7114  0.016  0.247  0.5832  0.1711  0.31
Luisada 2008   20  0.6625  0.0015  0.1515  0.5223  0.269  0.37
Lushtak 2004   22  0.6520  0.0123  0.0720  0.3230  0.1816  0.24
Malcuzynski 1951   28  0.6410  0.0126  0.0633  0.1331  0.1428  0.13
Malcuzynski 1961   10  0.7043  0.0012  0.129  0.5544  0.0623  0.18
Magaloff 1977   19  0.6737  0.0028  0.0721  0.3229  0.2713  0.29
Magin 1975   14  0.6955  0.0029  0.0727  0.2344  0.0629  0.12
Meguri 1997   53  0.5865  0.0059  0.0454  0.0450  0.0561  0.04
Milkina 1970   3  0.7213  0.015  0.206  0.608  0.511  0.55
Mohovich 1999   26  0.6431  0.0021  0.0822  0.3033  0.1124  0.18
Nezu 2005   24  0.659  0.0217  0.1324  0.2843  0.0627  0.13
Ohlsson 1999   29  0.647  0.0218  0.1023  0.3031  0.1420  0.20
Olejniczak 1990   37  0.638  0.0224  0.0730  0.1559  0.0443  0.08
Osinska 1989   2  0.746  0.032  0.293  0.6911  0.353  0.49
Perlemuter 1992   42  0.6150  0.0057  0.0457  0.0435  0.0655  0.05
Poblocka 1999   4  0.7123  0.0013  0.1112  0.5436  0.0721  0.19
Rangell 2001   57  0.5718  0.0158  0.0458  0.0430  0.1742  0.08
Richter 1960   46  0.6126  0.0047  0.0455  0.0440  0.0562  0.04
Richter 1961   64  0.4666  0.0064  0.0545  0.0554  0.0458  0.04
Rosen 1989   30  0.6461  0.0030  0.0628  0.1945  0.0630  0.11
Rubinstein 1939   11  0.7011  0.0111  0.1314  0.5426  0.315  0.41
Rubinstein 1952   8  0.705  0.043  0.214  0.6116  0.324  0.44
Rubinstein 1966   9  0.7027  0.004  0.145  0.6125  0.1910  0.34
Rudanovskaya 2007   59  0.5739  0.0060  0.0459  0.0428  0.1640  0.08
Shebanova 2002   15  0.6812  0.0114  0.1411  0.5536  0.0918  0.22
Smith 1975   52  0.5922  0.0054  0.0450  0.0432  0.1739  0.08
Sztompka 1959   45  0.6119  0.0155  0.0456  0.0448  0.0560  0.04
Tanyel 1992   54  0.5867  0.0062  0.0546  0.0556  0.0464  0.04
Tsujii 2005   5  0.7163  0.0010  0.1310  0.5521  0.316  0.41
Uninsky 1959   17  0.6833  0.0019  0.1016  0.4537  0.0722  0.18
Vardi 1988   48  0.6021  0.0052  0.0463  0.0445  0.0559  0.04
Wasowski 1980   7  0.7015  0.0116  0.1318  0.3731  0.2114  0.28
Zimerman 1975   60  0.5730  0.0049  0.0452  0.0458  0.0466  0.04
Average   1  0.761  0.531  0.521  0.8045  0.0617  0.22
Random 1   67  0.0058  0.0066  0.0266  0.0219  0.2345  0.07
Random 2   66  0.0345  0.0067  0.0167  0.0131  0.1463  0.04
Random 3   65  0.1162  0.0065  0.0365  0.0311  0.4331  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).