Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.3217  0.0010  0.149  0.546  0.629  0.58
Ax 1995   58  0.448  0.0045  0.0547  0.0528  0.2839  0.12
Bacha 1998   51  0.5124  0.0029  0.0931  0.1510  0.5229  0.28
Barbosa 1983   57  0.4518  0.0012  0.1514  0.478  0.6111  0.54
BenOr 1989   14  0.6151  0.0021  0.0918  0.4323  0.4119  0.42
Biret 1990   43  0.549  0.0052  0.0638  0.0643  0.0650  0.06
Brailowsky 1960   62  0.3738  0.0061  0.0553  0.0542  0.0746  0.06
Chiu 1999   30  0.573  0.0027  0.0927  0.2521  0.3627  0.30
Clidat 1994   52  0.5139  0.0034  0.0543  0.0520  0.3733  0.14
Cohen 1997   64  0.266  0.0064  0.0365  0.0349  0.0465  0.03
Cortot 1951   15  0.6111  0.0039  0.0546  0.0537  0.0656  0.05
Csalog 1996   4  0.7023  0.004  0.314  0.7110  0.537  0.61
Czerny 1989   28  0.5821  0.0016  0.0915  0.4717  0.4716  0.47
Ezaki 2006   34  0.5658  0.0026  0.0824  0.2823  0.3526  0.31
Falvay 1989   5  0.7012  0.007  0.195  0.6814  0.4213  0.53
Fiorentino 1962   37  0.5532  0.0044  0.0637  0.0647  0.0649  0.06
Fliere 1977   9  0.6614  0.005  0.177  0.666  0.664  0.66
Fou 1978   12  0.6252  0.0011  0.1211  0.5312  0.5014  0.51
Francois 1956   54  0.4620  0.0062  0.0362  0.0356  0.0466  0.03
Goldenweiser 1946   16  0.6125  0.0023  0.0922  0.3713  0.4520  0.41
Gornostaeva 1994   56  0.4533  0.0048  0.0457  0.0421  0.4336  0.13
Groot 1988   32  0.5759  0.0028  0.1028  0.2436  0.0834  0.14
Hatto 1993   2  0.942  0.072  0.952  0.992  0.992  0.99
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horszowski 1983   27  0.5929  0.009  0.1213  0.508  0.6210  0.56
Indjic 2001   1  0.961  0.921  0.901  0.992  0.991  0.99
Katin 1996   23  0.5960  0.0037  0.0639  0.0641  0.0747  0.06
Kiepura 1999   60  0.4316  0.0056  0.0456  0.0449  0.0651  0.05
Korecka 1992   11  0.6226  0.0038  0.0548  0.059  0.6631  0.18
Kushner 1990   59  0.4361  0.0059  0.0551  0.0555  0.0458  0.04
Lilamand 2001   20  0.605  0.0015  0.0916  0.4613  0.6312  0.54
Luisada 1990   10  0.6640  0.006  0.196  0.676  0.673  0.67
Luisada 2008   38  0.5530  0.0025  0.0925  0.2814  0.4123  0.34
Lushtak 2004   18  0.6110  0.0022  0.1220  0.4025  0.2824  0.33
Malcuzynski 1951   39  0.5453  0.0032  0.0532  0.1011  0.5230  0.23
Malcuzynski 1961   21  0.604  0.0017  0.1117  0.4318  0.4618  0.44
Magaloff 1977   44  0.5422  0.0050  0.0460  0.0455  0.0460  0.04
Magin 1975   36  0.5562  0.0036  0.0542  0.0543  0.0652  0.05
Meguri 1997   24  0.5954  0.0046  0.0459  0.0429  0.2841  0.11
Milkina 1970   46  0.5363  0.0057  0.0454  0.0457  0.0457  0.04
Mohovich 1999   41  0.5436  0.0054  0.0734  0.0763  0.0354  0.05
Nezu 2005   7  0.6734  0.0018  0.0926  0.2720  0.3725  0.32
Ohlsson 1999   48  0.5255  0.0049  0.0458  0.0437  0.0753  0.05
Olejniczak 1990   25  0.5941  0.0042  0.0544  0.0518  0.3140  0.12
Osinska 1989   13  0.6264  0.0047  0.0636  0.0647  0.0645  0.06
Perlemuter 1992   61  0.4256  0.0063  0.0363  0.0354  0.0363  0.03
Poblocka 1999   6  0.6913  0.008  0.228  0.614  0.676  0.64
Rangell 2001   47  0.5244  0.0051  0.0549  0.0546  0.0655  0.05
Richter 1960   26  0.5942  0.0035  0.0641  0.0632  0.2142  0.11
Richter 1961   45  0.5345  0.0043  0.0552  0.0528  0.2837  0.12
Rosen 1989   49  0.5235  0.0058  0.0361  0.0348  0.0662  0.04
Rubinstein 1939   17  0.6131  0.0013  0.1410  0.536  0.638  0.58
Rubinstein 1952   35  0.5646  0.0033  0.0533  0.0923  0.2732  0.16
Rubinstein 1966   40  0.5447  0.0040  0.0455  0.0448  0.0559  0.04
Rudanovskaya 2007   22  0.6065  0.0060  0.0545  0.0560  0.0361  0.04
Shebanova 2002   42  0.5443  0.0031  0.0829  0.1741  0.0643  0.10
Smith 1975   33  0.5666  0.0041  0.0550  0.0523  0.3235  0.13
Sztompka 1959   53  0.4819  0.0055  0.0640  0.0652  0.0648  0.06
Tanyel 1992   55  0.4627  0.0053  0.0635  0.0623  0.2538  0.12
Tsujii 2005   8  0.6728  0.0014  0.1012  0.5123  0.2722  0.37
Uninsky 1959   19  0.6048  0.0024  0.1023  0.3414  0.4421  0.39
Vardi 1988   29  0.5815  0.0020  0.1119  0.4212  0.5715  0.49
Wasowski 1980   50  0.5257  0.0030  0.0630  0.1716  0.5128  0.29
Zimerman 1975   31  0.5737  0.0019  0.0921  0.3712  0.5717  0.46
Average   3  0.817  0.003  0.693  0.8912  0.475  0.65
Random 1   66  0.0549  0.0065  0.0364  0.0311  0.2944  0.09
Random 2   65  0.0667  0.0066  0.0266  0.0238  0.0664  0.03
Random 3   67  -0.0550  0.0067  0.0167  0.0164  0.0267  0.01

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).