Magaloff 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   23  0.5933  0.0030  0.1122  0.2657  0.0627  0.12
Ax 1995   9  0.6438  0.0013  0.138  0.5743  0.0811  0.21
Bacha 1998   39  0.5530  0.0044  0.0559  0.0558  0.0549  0.05
Barbosa 1983   19  0.6010  0.018  0.199  0.5530  0.283  0.39
BenOr 1989   47  0.5351  0.0045  0.0561  0.0550  0.0660  0.05
Biret 1990   38  0.5648  0.0036  0.0934  0.0960  0.0539  0.07
Brailowsky 1960   20  0.604  0.0321  0.0928  0.2349  0.0723  0.13
Chiu 1999   8  0.6434  0.0010  0.1912  0.4918  0.481  0.48
Clidat 1994   14  0.6214  0.0112  0.1513  0.4644  0.0814  0.19
Cohen 1997   63  0.3366  0.0064  0.0556  0.0562  0.0464  0.04
Cortot 1951   64  0.3347  0.0063  0.0463  0.0450  0.0466  0.04
Csalog 1996   44  0.5353  0.0053  0.0557  0.0542  0.0654  0.05
Czerny 1989   26  0.5832  0.0027  0.0723  0.2548  0.0529  0.11
Ezaki 2006   12  0.6215  0.0118  0.1017  0.3938  0.0815  0.18
Falvay 1989   24  0.5926  0.0017  0.0818  0.3653  0.0524  0.13
Fiorentino 1962   2  0.669  0.016  0.205  0.6335  0.125  0.27
Fliere 1977   15  0.6124  0.0026  0.0625  0.2438  0.0722  0.13
Fou 1978   3  0.663  0.042  0.273  0.7028  0.272  0.43
Francois 1956   13  0.6217  0.0114  0.1214  0.4433  0.147  0.25
Goldenweiser 1946   62  0.3713  0.0159  0.0462  0.0426  0.2331  0.10
Gornostaeva 1994   35  0.5712  0.0128  0.0726  0.2423  0.324  0.28
Groot 1988   21  0.597  0.0220  0.0821  0.2754  0.0528  0.12
Hatto 1993   27  0.5857  0.0019  0.0719  0.3252  0.0621  0.14
Hatto 1997   33  0.5735  0.0033  0.0832  0.1647  0.0634  0.10
Horszowski 1983   58  0.4745  0.0058  0.0746  0.0740  0.0540  0.06
Indjic 2001   31  0.5736  0.0032  0.0931  0.1944  0.0726  0.12
Katin 1996   29  0.5839  0.0025  0.0830  0.2063  0.0533  0.10
Kiepura 1999   37  0.566  0.0238  0.0935  0.0941  0.0835  0.08
Korecka 1992   60  0.4420  0.0061  0.0648  0.0659  0.0450  0.05
Kushner 1990   54  0.5055  0.0049  0.0651  0.0648  0.0553  0.05
Lilamand 2001   57  0.4837  0.0056  0.0560  0.0549  0.0555  0.05
Luisada 1990   50  0.5219  0.0146  0.0649  0.0655  0.0557  0.05
Luisada 2008   55  0.4827  0.0055  0.0464  0.0451  0.0562  0.04
Lushtak 2004   25  0.5911  0.0123  0.0820  0.3150  0.0719  0.15
Malcuzynski 1951   10  0.638  0.0211  0.177  0.6155  0.0516  0.17
Malcuzynski 1961   11  0.632  0.073  0.212  0.7256  0.0513  0.19
Magaloff 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magin 1975   43  0.5443  0.0047  0.0653  0.0661  0.0548  0.05
Meguri 1997   28  0.5829  0.0024  0.0729  0.2225  0.2210  0.22
Milkina 1970   17  0.6050  0.0029  0.0724  0.2449  0.0625  0.12
Mohovich 1999   53  0.5163  0.0050  0.0839  0.0846  0.0638  0.07
Nezu 2005   18  0.6059  0.0015  0.1216  0.4256  0.0617  0.16
Ohlsson 1999   22  0.5960  0.0034  0.0741  0.0750  0.0643  0.06
Olejniczak 1990   46  0.5356  0.0043  0.0555  0.0560  0.0561  0.05
Osinska 1989   48  0.5249  0.0048  0.0743  0.0761  0.0447  0.05
Perlemuter 1992   61  0.4464  0.0062  0.0652  0.0654  0.0446  0.05
Poblocka 1999   32  0.5742  0.0035  0.0936  0.0950  0.0636  0.07
Rangell 2001   49  0.5228  0.0054  0.0558  0.0560  0.0465  0.04
Richter 1960   52  0.5121  0.0041  0.0740  0.0754  0.0544  0.06
Richter 1961   42  0.5423  0.0037  0.0937  0.0948  0.0537  0.07
Rosen 1989   41  0.5440  0.0052  0.0654  0.0659  0.0559  0.05
Rubinstein 1939   4  0.6618  0.014  0.216  0.6334  0.106  0.25
Rubinstein 1952   7  0.6416  0.019  0.1511  0.5455  0.0518  0.16
Rubinstein 1966   6  0.6522  0.007  0.1610  0.5434  0.109  0.23
Rudanovskaya 2007   56  0.4858  0.0057  0.0744  0.0759  0.0458  0.05
Shebanova 2002   30  0.5862  0.0031  0.1127  0.2454  0.0530  0.11
Smith 1975   34  0.575  0.0222  0.0933  0.1544  0.0732  0.10
Sztompka 1959   59  0.4554  0.0060  0.0650  0.0664  0.0452  0.05
Tanyel 1992   45  0.5331  0.0051  0.0745  0.0757  0.0545  0.06
Tsujii 2005   5  0.6625  0.005  0.204  0.6552  0.0612  0.20
Uninsky 1959   36  0.5752  0.0040  0.0742  0.0761  0.0451  0.05
Vardi 1988   51  0.5144  0.0039  0.0838  0.0861  0.0542  0.06
Wasowski 1980   40  0.5546  0.0042  0.0647  0.0647  0.0641  0.06
Zimerman 1975   16  0.6041  0.0016  0.0715  0.4259  0.0520  0.14
Average   1  0.711  0.611  0.601  0.8245  0.078  0.24
Random 1   67  -0.0561  0.0067  0.0167  0.0122  0.1763  0.04
Random 2   66  -0.0367  0.0065  0.0265  0.0228  0.1556  0.05
Random 3   65  -0.0365  0.0066  0.0266  0.0234  0.0667  0.03

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).