Magaloff 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.2317  0.0115  0.0919  0.2933  0.0923  0.16
Ax 1995   61  0.3538  0.0054  0.0451  0.0438  0.0652  0.05
Bacha 1998   54  0.4158  0.0056  0.0549  0.0551  0.0548  0.05
Barbosa 1983   62  0.2966  0.0055  0.0457  0.0453  0.0650  0.05
BenOr 1989   3  0.625  0.054  0.273  0.675  0.592  0.63
Biret 1990   24  0.5515  0.0124  0.0726  0.2133  0.0927  0.14
Brailowsky 1960   49  0.4534  0.0040  0.0546  0.0520  0.3430  0.13
Chiu 1999   35  0.5155  0.0026  0.0622  0.2335  0.0824  0.14
Clidat 1994   53  0.4151  0.0053  0.0453  0.0452  0.0561  0.04
Cohen 1997   58  0.3956  0.0052  0.0452  0.0420  0.4725  0.14
Cortot 1951   12  0.5818  0.0120  0.0727  0.1931  0.1028  0.14
Csalog 1996   11  0.5913  0.0111  0.1110  0.4744  0.0618  0.17
Czerny 1989   45  0.4757  0.0044  0.0450  0.0449  0.0557  0.04
Ezaki 2006   37  0.5040  0.0034  0.0639  0.0646  0.0545  0.05
Falvay 1989   7  0.6112  0.0110  0.129  0.5246  0.0519  0.16
Fiorentino 1962   27  0.5447  0.0027  0.0823  0.2334  0.0926  0.14
Fliere 1977   41  0.4821  0.0041  0.0640  0.0635  0.0840  0.07
Fou 1978   22  0.5544  0.0019  0.0821  0.2834  0.0920  0.16
Francois 1956   32  0.537  0.0230  0.0828  0.186  0.6214  0.33
Goldenweiser 1946   23  0.5528  0.0032  0.0731  0.1430  0.1229  0.13
Gornostaeva 1994   52  0.4314  0.0151  0.0458  0.0432  0.1539  0.08
Groot 1988   10  0.5916  0.015  0.276  0.6113  0.487  0.54
Hatto 1993   20  0.5527  0.0038  0.0548  0.0540  0.0653  0.05
Hatto 1997   29  0.5452  0.0043  0.0454  0.0459  0.0460  0.04
Horszowski 1983   57  0.4045  0.0037  0.0637  0.0652  0.0546  0.05
Indjic 2001   16  0.5663  0.0042  0.0643  0.0641  0.0644  0.06
Katin 1996   9  0.5946  0.0014  0.0914  0.3943  0.0717  0.17
Kiepura 1999   60  0.3660  0.0060  0.0459  0.0456  0.0454  0.04
Korecka 1992   47  0.4753  0.0061  0.0362  0.0347  0.0556  0.04
Kushner 1990   38  0.5041  0.0036  0.0638  0.0633  0.1238  0.08
Lilamand 2001   43  0.4833  0.0028  0.0729  0.1645  0.0635  0.10
Luisada 1990   2  0.631  0.291  0.291  0.717  0.641  0.67
Luisada 2008   48  0.4736  0.0029  0.0630  0.1629  0.1722  0.16
Lushtak 2004   42  0.4862  0.0048  0.0636  0.0649  0.0551  0.05
Malcuzynski 1951   14  0.5622  0.0013  0.1111  0.462  0.648  0.54
Malcuzynski 1961   8  0.6023  0.006  0.245  0.6318  0.466  0.54
Magaloff 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   33  0.538  0.0223  0.0624  0.2348  0.0532  0.11
Meguri 1997   40  0.5048  0.0057  0.0456  0.0442  0.0649  0.05
Milkina 1970   17  0.5637  0.0039  0.0544  0.0542  0.0742  0.06
Mohovich 1999   34  0.5165  0.0035  0.0547  0.0552  0.0462  0.04
Nezu 2005   25  0.5442  0.0046  0.0642  0.0641  0.0743  0.06
Ohlsson 1999   44  0.4735  0.0045  0.0545  0.0557  0.0459  0.04
Olejniczak 1990   19  0.5550  0.0022  0.0720  0.2815  0.3813  0.33
Osinska 1989   26  0.5443  0.0047  0.0735  0.0756  0.0541  0.06
Perlemuter 1992   50  0.4559  0.0062  0.0455  0.0447  0.0555  0.04
Poblocka 1999   21  0.5530  0.0033  0.0933  0.0940  0.0737  0.08
Rangell 2001   6  0.614  0.117  0.277  0.6012  0.634  0.61
Richter 1960   4  0.622  0.212  0.394  0.6612  0.593  0.62
Richter 1961   56  0.4029  0.0059  0.0360  0.0358  0.0463  0.03
Rosen 1989   13  0.5719  0.008  0.218  0.5315  0.585  0.55
Rubinstein 1939   39  0.5020  0.0050  0.0734  0.0753  0.0447  0.05
Rubinstein 1952   46  0.4749  0.0031  0.0632  0.1446  0.0636  0.09
Rubinstein 1966   28  0.5424  0.0012  0.1112  0.4142  0.0621  0.16
Rudanovskaya 2007   5  0.616  0.029  0.0913  0.4117  0.3812  0.39
Shebanova 2002   31  0.539  0.0225  0.0625  0.2337  0.0731  0.13
Smith 1975   18  0.5526  0.0017  0.0815  0.3515  0.4411  0.39
Sztompka 1959   55  0.4025  0.0063  0.0363  0.0347  0.0658  0.04
Tanyel 1992   51  0.4454  0.0049  0.0641  0.0629  0.1933  0.11
Tsujii 2005   1  0.653  0.123  0.232  0.6817  0.379  0.50
Uninsky 1959   15  0.5610  0.0221  0.0816  0.3328  0.1816  0.24
Vardi 1988   36  0.5111  0.0216  0.0717  0.3327  0.1915  0.25
Wasowski 1980   30  0.5339  0.0018  0.0818  0.307  0.5910  0.42
Zimerman 1975   59  0.3831  0.0058  0.0361  0.0359  0.0465  0.03
Random 1   65  0.0564  0.0064  0.0364  0.039  0.3834  0.11
Random 2   64  0.0932  0.0065  0.0265  0.0240  0.0664  0.03
Random 3   66  0.0061  0.0066  0.0166  0.0142  0.0466  0.02

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).