Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   45  0.6738  0.0022  0.0822  0.2716  0.3824  0.32
Ax 1995   54  0.6239  0.0053  0.0552  0.0538  0.0664  0.05
Bacha 1998   19  0.7252  0.0032  0.0732  0.1313  0.4828  0.25
Barbosa 1983   47  0.663  0.0414  0.1019  0.359  0.5716  0.45
BenOr 1989   21  0.7253  0.0026  0.0723  0.2612  0.5521  0.38
Biret 1990   20  0.7229  0.0029  0.0627  0.1827  0.2331  0.20
Brailowsky 1960   52  0.6358  0.0051  0.0554  0.0526  0.2155  0.10
Chiu 1999   40  0.6917  0.0042  0.0739  0.074  0.4834  0.18
Clidat 1994   46  0.6740  0.0047  0.0836  0.0831  0.2643  0.14
Cohen 1997   64  0.5056  0.0064  0.0558  0.0533  0.1758  0.09
Cortot 1951   58  0.6063  0.0058  0.0462  0.0416  0.3154  0.11
Csalog 1996   29  0.7134  0.0031  0.0729  0.1518  0.4229  0.25
Czerny 1989   17  0.7313  0.0117  0.0818  0.356  0.5618  0.44
Ezaki 2006   57  0.6157  0.0052  0.0555  0.0519  0.2947  0.12
Falvay 1989   13  0.769  0.018  0.118  0.5219  0.3817  0.44
Fiorentino 1962   42  0.6849  0.0049  0.0837  0.0832  0.1553  0.11
Fliere 1977   31  0.7159  0.0030  0.0730  0.1414  0.4130  0.24
Fou 1978   30  0.7132  0.0021  0.1021  0.3313  0.4222  0.37
Francois 1956   60  0.5961  0.0057  0.0461  0.0424  0.2159  0.09
Goldenweiser 1946   39  0.6927  0.0033  0.0731  0.143  0.5126  0.27
Gornostaeva 1994   41  0.6824  0.0045  0.0835  0.0814  0.4733  0.19
Groot 1988   12  0.7610  0.016  0.186  0.538  0.4911  0.51
Hatto 1993   7  0.777  0.0212  0.1512  0.509  0.595  0.54
Hatto 1997   8  0.7716  0.0010  0.107  0.539  0.564  0.54
Horszowski 1983   24  0.7219  0.0015  0.0914  0.434  0.618  0.51
Indjic 2001   10  0.7623  0.0013  0.1613  0.4914  0.5213  0.50
Katin 1996   23  0.7254  0.0039  0.0934  0.0920  0.3535  0.18
Kiepura 1999   63  0.5550  0.0063  0.0560  0.0554  0.0466  0.04
Korecka 1992   33  0.7114  0.0124  0.0733  0.1227  0.2539  0.17
Kushner 1990   36  0.7051  0.0034  0.0644  0.069  0.5536  0.18
Lilamand 2001   55  0.6235  0.0046  0.0643  0.066  0.5437  0.18
Luisada 1990   14  0.7637  0.004  0.174  0.5512  0.4710  0.51
Luisada 2008   22  0.7226  0.0019  0.1020  0.3411  0.4820  0.40
Lushtak 2004   25  0.7220  0.0038  0.0741  0.0721  0.3842  0.16
Malcuzynski 1951   27  0.726  0.0220  0.0915  0.383  0.6812  0.51
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1977   18  0.7325  0.0016  0.0817  0.374  0.5715  0.46
Magin 1975   6  0.772  0.047  0.1210  0.517  0.546  0.52
Meguri 1997   53  0.6333  0.0054  0.0553  0.0523  0.3048  0.12
Milkina 1970   28  0.7141  0.0025  0.0726  0.199  0.4525  0.29
Mohovich 1999   34  0.7131  0.0023  0.0824  0.2415  0.4623  0.33
Nezu 2005   32  0.7160  0.0036  0.0647  0.0631  0.1657  0.10
Ohlsson 1999   16  0.7366  0.0027  0.0725  0.2122  0.3227  0.26
Olejniczak 1990   26  0.7245  0.0037  0.0742  0.0718  0.4340  0.17
Osinska 1989   2  0.788  0.0111  0.1211  0.5014  0.3319  0.41
Perlemuter 1992   50  0.6415  0.0156  0.0559  0.0521  0.2451  0.11
Poblocka 1999   15  0.7336  0.0028  0.0628  0.1829  0.2032  0.19
Rangell 2001   62  0.5743  0.0062  0.0464  0.0435  0.0765  0.05
Richter 1960   43  0.6821  0.0048  0.0740  0.0727  0.2049  0.12
Richter 1961   61  0.5722  0.0061  0.0463  0.0440  0.0761  0.05
Rosen 1989   48  0.6662  0.0043  0.0646  0.0622  0.3245  0.14
Rubinstein 1939   35  0.7018  0.0040  0.0838  0.0829  0.2246  0.13
Rubinstein 1952   4  0.7712  0.012  0.232  0.635  0.622  0.62
Rubinstein 1966   5  0.7711  0.013  0.273  0.5610  0.479  0.51
Rudanovskaya 2007   56  0.6246  0.0059  0.0648  0.0616  0.3544  0.14
Shebanova 2002   9  0.774  0.025  0.135  0.549  0.573  0.55
Smith 1975   44  0.6864  0.0041  0.0650  0.0611  0.4938  0.17
Sztompka 1959   37  0.7030  0.0035  0.0651  0.0611  0.4541  0.16
Tanyel 1992   51  0.6348  0.0055  0.0556  0.0531  0.2056  0.10
Tsujii 2005   38  0.7042  0.0044  0.0649  0.0635  0.0760  0.06
Uninsky 1959   3  0.7728  0.009  0.109  0.517  0.537  0.52
Vardi 1988   59  0.6055  0.0060  0.0557  0.0552  0.0562  0.05
Wasowski 1980   11  0.765  0.0218  0.0916  0.376  0.5914  0.47
Zimerman 1975   49  0.6544  0.0050  0.0645  0.0641  0.0563  0.05
Average   1  0.841  0.691  0.681  0.8910  0.561  0.71
Random 1   66  0.0747  0.0066  0.0266  0.021  0.5952  0.11
Random 2   67  0.0267  0.0067  0.0167  0.0135  0.0867  0.03
Random 3   65  0.0865  0.0065  0.0365  0.039  0.4550  0.12

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).