Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   44  0.6739  0.0021  0.0921  0.2715  0.3823  0.32
Ax 1995   53  0.6240  0.0052  0.0651  0.0637  0.0660  0.06
Bacha 1998   18  0.7255  0.0031  0.0731  0.1312  0.4827  0.25
Barbosa 1983   46  0.665  0.0613  0.1118  0.358  0.5715  0.45
BenOr 1989   20  0.7216  0.0125  0.0722  0.2611  0.5520  0.38
Biret 1990   19  0.7234  0.0028  0.0626  0.1826  0.2331  0.20
Brailowsky 1960   51  0.6359  0.0050  0.0553  0.0525  0.2154  0.10
Chiu 1999   39  0.6918  0.0141  0.0738  0.073  0.4834  0.18
Clidat 1994   45  0.6741  0.0046  0.0835  0.0830  0.2642  0.14
Cohen 1997   63  0.5053  0.0063  0.0557  0.0532  0.1758  0.09
Cortot 1951   57  0.6062  0.0057  0.0461  0.0415  0.3153  0.11
Csalog 1996   28  0.7122  0.0030  0.0828  0.1517  0.4228  0.25
Czerny 1989   16  0.7319  0.0116  0.0817  0.355  0.5617  0.44
Ezaki 2006   56  0.6157  0.0051  0.0554  0.0518  0.2946  0.12
Falvay 1989   12  0.769  0.037  0.117  0.5218  0.3816  0.44
Fiorentino 1962   41  0.6848  0.0048  0.0836  0.0831  0.1552  0.11
Fliere 1977   30  0.7158  0.0029  0.0729  0.1413  0.4129  0.24
Fou 1978   29  0.7126  0.0020  0.1020  0.3312  0.4221  0.37
Francois 1956   59  0.5960  0.0056  0.0560  0.0523  0.2157  0.10
Goldenweiser 1946   38  0.6933  0.0032  0.0730  0.142  0.5125  0.27
Gornostaeva 1994   40  0.6831  0.0044  0.0934  0.0913  0.4730  0.21
Groot 1988   11  0.7610  0.035  0.185  0.537  0.4910  0.51
Hatto 1993   6  0.7715  0.0211  0.1511  0.508  0.594  0.54
Hatto 1997   7  0.776  0.059  0.116  0.538  0.563  0.54
Horszowski 1983   23  0.7217  0.0114  0.0913  0.433  0.617  0.51
Indjic 2001   9  0.7630  0.0012  0.1612  0.4913  0.5212  0.50
Katin 1996   22  0.7256  0.0038  0.0933  0.0919  0.3535  0.18
Kiepura 1999   62  0.5551  0.0062  0.0559  0.0553  0.0465  0.04
Korecka 1992   32  0.7121  0.0123  0.0732  0.1226  0.2538  0.17
Kushner 1990   35  0.7052  0.0033  0.0643  0.068  0.5536  0.18
Lilamand 2001   54  0.6229  0.0045  0.0742  0.075  0.5433  0.19
Luisada 1990   13  0.763  0.113  0.173  0.5511  0.479  0.51
Luisada 2008   21  0.7232  0.0018  0.1019  0.3410  0.4819  0.40
Lushtak 2004   24  0.7225  0.0037  0.0740  0.0720  0.3841  0.16
Malcuzynski 1951   26  0.7213  0.0219  0.0914  0.382  0.6811  0.51
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1977   17  0.7328  0.0015  0.0916  0.373  0.5714  0.46
Magin 1975   5  0.774  0.086  0.129  0.516  0.545  0.52
Meguri 1997   52  0.6338  0.0053  0.0552  0.0522  0.3047  0.12
Milkina 1970   27  0.7142  0.0024  0.0725  0.198  0.4524  0.29
Mohovich 1999   33  0.7120  0.0122  0.0823  0.2414  0.4622  0.33
Nezu 2005   31  0.7161  0.0035  0.0646  0.0630  0.1656  0.10
Ohlsson 1999   15  0.7365  0.0026  0.0724  0.2121  0.3226  0.26
Olejniczak 1990   25  0.7247  0.0036  0.0741  0.0717  0.4339  0.17
Osinska 1989   1  0.787  0.0410  0.1210  0.5013  0.3318  0.41
Perlemuter 1992   49  0.6414  0.0255  0.0558  0.0520  0.2450  0.11
Poblocka 1999   14  0.7337  0.0027  0.0627  0.1828  0.2032  0.19
Rangell 2001   61  0.5746  0.0061  0.0463  0.0434  0.0764  0.05
Richter 1960   42  0.6824  0.0047  0.0739  0.0726  0.2048  0.12
Richter 1961   60  0.5727  0.0060  0.0462  0.0439  0.0761  0.05
Rosen 1989   47  0.6649  0.0042  0.0645  0.0621  0.3244  0.14
Rubinstein 1939   34  0.7023  0.0039  0.0837  0.0828  0.2245  0.13
Rubinstein 1952   3  0.771  0.241  0.231  0.634  0.621  0.62
Rubinstein 1966   4  0.772  0.132  0.272  0.569  0.478  0.51
Rudanovskaya 2007   55  0.6236  0.0058  0.0647  0.0615  0.3543  0.14
Shebanova 2002   8  0.778  0.034  0.134  0.548  0.572  0.55
Smith 1975   43  0.6863  0.0040  0.0649  0.0610  0.4937  0.17
Sztompka 1959   36  0.7035  0.0034  0.0650  0.0610  0.4540  0.16
Tanyel 1992   50  0.6345  0.0054  0.0555  0.0530  0.2055  0.10
Tsujii 2005   37  0.7043  0.0043  0.0648  0.0634  0.0759  0.06
Uninsky 1959   2  0.7712  0.028  0.118  0.516  0.536  0.52
Vardi 1988   58  0.6054  0.0059  0.0556  0.0551  0.0562  0.05
Wasowski 1980   10  0.7611  0.0217  0.0915  0.375  0.5913  0.47
Zimerman 1975   48  0.6544  0.0049  0.0644  0.0640  0.0563  0.05
Random 1   65  0.0750  0.0065  0.0265  0.021  0.5851  0.11
Random 2   66  0.0266  0.0066  0.0166  0.0134  0.0766  0.03
Random 3   64  0.0864  0.0064  0.0364  0.039  0.4549  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).