Malcuzynski 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   29  0.6133  0.0029  0.0727  0.1643  0.0630  0.10
Ax 1995   54  0.5243  0.0054  0.0553  0.0548  0.0458  0.04
Bacha 1998   50  0.5445  0.0056  0.0555  0.0561  0.0452  0.04
Barbosa 1983   46  0.5560  0.0041  0.0542  0.0553  0.0547  0.05
BenOr 1989   35  0.5934  0.0024  0.0632  0.1250  0.0539  0.08
Biret 1990   43  0.5647  0.0053  0.0554  0.0560  0.0460  0.04
Brailowsky 1960   51  0.5439  0.0043  0.0547  0.0528  0.1633  0.09
Chiu 1999   60  0.4830  0.0038  0.0640  0.0645  0.0641  0.06
Clidat 1994   55  0.5229  0.0055  0.0459  0.0460  0.0363  0.03
Cohen 1997   63  0.2554  0.0064  0.0363  0.0357  0.0465  0.03
Cortot 1951   48  0.5427  0.0052  0.0458  0.0421  0.2631  0.10
Csalog 1996   25  0.6212  0.0132  0.0731  0.1355  0.0538  0.08
Czerny 1989   34  0.5958  0.0034  0.0639  0.0631  0.1829  0.10
Ezaki 2006   52  0.5319  0.0139  0.0541  0.0550  0.0645  0.05
Falvay 1989   42  0.5624  0.0046  0.0456  0.0463  0.0451  0.04
Fiorentino 1962   49  0.5465  0.0058  0.0552  0.0558  0.0457  0.04
Fliere 1977   21  0.6316  0.0130  0.0923  0.2026  0.1914  0.19
Fou 1978   41  0.5748  0.0033  0.0735  0.0749  0.0642  0.06
Francois 1956   20  0.6313  0.0121  0.0620  0.2210  0.3611  0.28
Goldenweiser 1946   6  0.7021  0.014  0.217  0.487  0.463  0.47
Gornostaeva 1994   10  0.6617  0.0119  0.0816  0.2726  0.339  0.30
Groot 1988   18  0.6428  0.0018  0.0811  0.3546  0.0621  0.14
Hatto 1993   24  0.6215  0.0116  0.1022  0.2140  0.0727  0.12
Hatto 1997   16  0.656  0.0311  0.1015  0.2932  0.1215  0.19
Horszowski 1983   45  0.5642  0.0025  0.0625  0.1741  0.0532  0.09
Indjic 2001   26  0.6246  0.0015  0.1021  0.2139  0.0726  0.12
Katin 1996   36  0.5863  0.0047  0.0546  0.0562  0.0353  0.04
Kiepura 1999   56  0.5252  0.0057  0.0460  0.0458  0.0450  0.04
Korecka 1992   19  0.6410  0.0222  0.0626  0.1729  0.1818  0.17
Kushner 1990   17  0.6432  0.0031  0.0730  0.1432  0.1322  0.13
Lilamand 2001   40  0.5714  0.0127  0.0824  0.1825  0.2213  0.20
Luisada 1990   9  0.6741  0.0010  0.1314  0.3240  0.0620  0.14
Luisada 2008   31  0.6036  0.0040  0.0543  0.0530  0.1536  0.09
Lushtak 2004   28  0.6161  0.0037  0.0638  0.0661  0.0448  0.05
Malcuzynski 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   3  0.722  0.123  0.212  0.6814  0.382  0.51
Magaloff 1977   15  0.655  0.046  0.114  0.5213  0.414  0.46
Magin 1975   11  0.6622  0.0123  0.0619  0.2235  0.0724  0.12
Meguri 1997   57  0.5156  0.0048  0.0461  0.0453  0.0554  0.04
Milkina 1970   32  0.5962  0.0028  0.0728  0.1645  0.0534  0.09
Mohovich 1999   47  0.5566  0.0051  0.0550  0.0552  0.0456  0.04
Nezu 2005   37  0.5835  0.0044  0.0833  0.0848  0.0543  0.06
Ohlsson 1999   8  0.679  0.0217  0.129  0.4033  0.1112  0.21
Olejniczak 1990   44  0.5626  0.0045  0.0549  0.0557  0.0461  0.04
Osinska 1989   2  0.743  0.092  0.323  0.6016  0.276  0.40
Perlemuter 1992   27  0.6264  0.0042  0.0544  0.0523  0.2128  0.10
Poblocka 1999   22  0.6337  0.0036  0.0637  0.0633  0.0840  0.07
Rangell 2001   58  0.5023  0.0049  0.0545  0.0553  0.0459  0.04
Richter 1960   30  0.6125  0.0035  0.0734  0.0731  0.1135  0.09
Richter 1961   62  0.3953  0.0062  0.0457  0.0461  0.0362  0.03
Rosen 1989   33  0.5957  0.0026  0.0629  0.1432  0.1323  0.13
Rubinstein 1939   5  0.718  0.025  0.265  0.5022  0.365  0.42
Rubinstein 1952   1  0.751  0.391  0.391  0.707  0.471  0.57
Rubinstein 1966   14  0.6540  0.009  0.1110  0.3852  0.0519  0.14
Rudanovskaya 2007   61  0.4651  0.0061  0.0362  0.0349  0.0464  0.03
Shebanova 2002   7  0.6718  0.018  0.126  0.4844  0.0717  0.18
Smith 1975   39  0.574  0.0713  0.0917  0.2623  0.368  0.31
Sztompka 1959   23  0.6211  0.0214  0.0913  0.3222  0.2410  0.28
Tanyel 1992   38  0.5759  0.0050  0.0551  0.0557  0.0455  0.04
Tsujii 2005   13  0.6520  0.0120  0.0818  0.2537  0.0625  0.12
Uninsky 1959   12  0.657  0.0212  0.128  0.4133  0.0816  0.18
Vardi 1988   53  0.5344  0.0059  0.0548  0.0546  0.0546  0.05
Wasowski 1980   4  0.7131  0.007  0.1312  0.3427  0.287  0.31
Zimerman 1975   59  0.4950  0.0060  0.0736  0.0758  0.0449  0.05
Random 1   66  -0.0238  0.0065  0.0265  0.0226  0.1944  0.06
Random 2   65  -0.0149  0.0066  0.0166  0.0154  0.0366  0.02
Random 3   64  0.0955  0.0063  0.0364  0.0323  0.2637  0.09

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).