Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.2828  0.0031  0.0731  0.1424  0.3731  0.23
Ax 1995   62  0.3740  0.0058  0.0457  0.0451  0.0466  0.04
Bacha 1998   49  0.4849  0.0038  0.0736  0.0710  0.4336  0.17
Barbosa 1983   46  0.502  0.202  0.2713  0.5011  0.5910  0.54
BenOr 1989   15  0.606  0.047  0.177  0.5512  0.5412  0.54
Biret 1990   42  0.5365  0.0045  0.0643  0.0634  0.0951  0.07
Brailowsky 1960   61  0.4133  0.0057  0.0458  0.0436  0.0854  0.06
Chiu 1999   14  0.6019  0.0115  0.1714  0.506  0.589  0.54
Clidat 1994   54  0.4658  0.0054  0.0550  0.0534  0.0858  0.06
Cohen 1997   60  0.4245  0.0051  0.0552  0.058  0.6038  0.17
Cortot 1951   33  0.5551  0.0047  0.0739  0.0715  0.2741  0.14
Csalog 1996   1  0.661  0.221  0.223  0.586  0.557  0.56
Czerny 1989   23  0.597  0.0411  0.2110  0.5214  0.5114  0.51
Ezaki 2006   38  0.5342  0.0032  0.0632  0.1229  0.2139  0.16
Falvay 1989   6  0.6213  0.0117  0.1020  0.4430  0.1728  0.27
Fiorentino 1962   31  0.5827  0.0036  0.0741  0.0744  0.0750  0.07
Fliere 1977   37  0.5362  0.0046  0.0737  0.0737  0.0747  0.07
Fou 1978   7  0.628  0.033  0.155  0.585  0.623  0.60
Francois 1956   57  0.4448  0.0061  0.0360  0.0335  0.0862  0.05
Goldenweiser 1946   21  0.6032  0.0021  0.1016  0.4710  0.4818  0.47
Gornostaeva 1994   56  0.4438  0.0037  0.0644  0.0611  0.5335  0.18
Groot 1988   2  0.645  0.0410  0.171  0.597  0.575  0.58
Hatto 1993   9  0.6131  0.0022  0.1119  0.4419  0.4321  0.43
Hatto 1997   16  0.6036  0.0023  0.1717  0.4616  0.4319  0.44
Horszowski 1983   24  0.5912  0.016  0.188  0.542  0.672  0.60
Indjic 2001   17  0.6046  0.0027  0.0725  0.3021  0.3824  0.34
Katin 1996   8  0.6159  0.0020  0.0922  0.4323  0.3623  0.39
Kiepura 1999   50  0.4850  0.0050  0.0740  0.0732  0.1144  0.09
Korecka 1992   52  0.4760  0.0062  0.0363  0.0349  0.0563  0.04
Kushner 1990   43  0.5320  0.0135  0.0738  0.0712  0.4533  0.18
Lilamand 2001   3  0.6321  0.014  0.232  0.593  0.731  0.66
Luisada 1990   30  0.5830  0.008  0.1311  0.5114  0.5115  0.51
Luisada 2008   48  0.4916  0.0140  0.0934  0.0917  0.3734  0.18
Lushtak 2004   27  0.5815  0.0125  0.1126  0.2423  0.2830  0.26
Malcuzynski 1951   19  0.6018  0.0112  0.1912  0.513  0.646  0.57
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1977   20  0.6041  0.0018  0.1018  0.465  0.6311  0.54
Magin 1975   12  0.614  0.0713  0.209  0.537  0.5113  0.52
Meguri 1997   40  0.5317  0.0155  0.0454  0.0435  0.0857  0.06
Milkina 1970   10  0.6114  0.0128  0.0827  0.2117  0.3827  0.28
Mohovich 1999   26  0.5843  0.0014  0.1615  0.4918  0.4917  0.49
Nezu 2005   41  0.5364  0.0056  0.0455  0.0449  0.0565  0.04
Ohlsson 1999   44  0.5047  0.0042  0.0835  0.0837  0.0749  0.07
Olejniczak 1990   25  0.5822  0.0026  0.0630  0.169  0.4529  0.27
Osinska 1989   5  0.6225  0.0029  0.0928  0.1922  0.4026  0.28
Perlemuter 1992   53  0.4623  0.0063  0.0361  0.0332  0.1253  0.06
Poblocka 1999   32  0.5735  0.0041  0.0645  0.0637  0.0755  0.06
Rangell 2001   45  0.5054  0.0053  0.0453  0.0432  0.1646  0.08
Richter 1960   4  0.6311  0.019  0.156  0.568  0.644  0.60
Richter 1961   47  0.5029  0.0048  0.0646  0.0640  0.0756  0.06
Rosen 1989   35  0.5461  0.0049  0.0742  0.0726  0.4137  0.17
Rubinstein 1939   36  0.5434  0.0034  0.0551  0.0522  0.3542  0.13
Rubinstein 1952   29  0.5824  0.0016  0.1021  0.434  0.6116  0.51
Rubinstein 1966   13  0.603  0.125  0.174  0.5811  0.548  0.56
Rudanovskaya 2007   22  0.599  0.0233  0.0648  0.0615  0.4140  0.16
Shebanova 2002   18  0.6010  0.0219  0.1024  0.3719  0.4322  0.40
Smith 1975   34  0.5555  0.0039  0.0933  0.0917  0.4232  0.19
Sztompka 1959   39  0.5352  0.0030  0.0929  0.1713  0.4825  0.29
Tanyel 1992   59  0.4356  0.0059  0.0362  0.0344  0.0761  0.05
Tsujii 2005   28  0.5826  0.0043  0.0649  0.0646  0.0659  0.06
Uninsky 1959   11  0.6137  0.0024  0.1523  0.4111  0.4620  0.43
Vardi 1988   51  0.4839  0.0044  0.0647  0.0638  0.0848  0.07
Wasowski 1980   58  0.4453  0.0060  0.0359  0.0332  0.1352  0.06
Zimerman 1975   55  0.4644  0.0052  0.0456  0.0436  0.0960  0.06
Random 1   64  0.0857  0.0065  0.0265  0.0212  0.2945  0.08
Random 2   65  0.0566  0.0066  0.0166  0.0127  0.1764  0.04
Random 3   66  0.0463  0.0064  0.0364  0.033  0.5443  0.13

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).