Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   41  0.5752  0.0043  0.0650  0.0659  0.0558  0.05
Ax 1995   19  0.6443  0.0014  0.1018  0.3947  0.0719  0.17
Bacha 1998   57  0.5019  0.0053  0.0646  0.0636  0.0645  0.06
Barbosa 1983   55  0.529  0.0119  0.0828  0.1847  0.0635  0.10
BenOr 1989   38  0.593  0.075  0.286  0.5824  0.413  0.49
Biret 1990   18  0.6418  0.0016  0.0913  0.4559  0.0524  0.15
Brailowsky 1960   17  0.6415  0.0113  0.0914  0.4535  0.1110  0.22
Chiu 1999   58  0.4859  0.0058  0.0461  0.0453  0.0651  0.05
Clidat 1994   54  0.5354  0.0054  0.0460  0.0459  0.0564  0.04
Cohen 1997   59  0.4860  0.0057  0.0557  0.0548  0.0559  0.05
Cortot 1951   62  0.4144  0.0061  0.0462  0.0420  0.3133  0.11
Csalog 1996   10  0.6537  0.0024  0.1121  0.3639  0.0721  0.16
Czerny 1989   21  0.638  0.0139  0.0647  0.0656  0.0552  0.05
Ezaki 2006   33  0.6155  0.0048  0.0740  0.0758  0.0543  0.06
Falvay 1989   6  0.6912  0.018  0.185  0.5838  0.0713  0.20
Fiorentino 1962   44  0.5734  0.0045  0.0653  0.0650  0.0749  0.06
Fliere 1977   50  0.5553  0.0046  0.0651  0.0660  0.0550  0.05
Fou 1978   42  0.5735  0.0042  0.0643  0.0651  0.0644  0.06
Francois 1956   52  0.5426  0.0050  0.0644  0.0653  0.0560  0.05
Goldenweiser 1946   31  0.6127  0.0028  0.0826  0.229  0.526  0.34
Gornostaeva 1994   64  0.3958  0.0059  0.0559  0.0561  0.0465  0.04
Groot 1988   8  0.6731  0.0011  0.1010  0.5345  0.0616  0.18
Hatto 1993   16  0.6445  0.0018  0.0823  0.3545  0.0627  0.14
Hatto 1997   12  0.6521  0.0017  0.0922  0.3660  0.0528  0.13
Horszowski 1983   56  0.5225  0.0062  0.0558  0.0561  0.0461  0.04
Indjic 2001   14  0.6441  0.0020  0.0824  0.3250  0.0625  0.14
Katin 1996   27  0.6130  0.0041  0.0649  0.0658  0.0553  0.05
Kiepura 1999   53  0.5333  0.0031  0.0729  0.1742  0.0829  0.12
Korecka 1992   5  0.695  0.053  0.283  0.623  0.741  0.68
Kushner 1990   40  0.5839  0.0034  0.0836  0.0838  0.0839  0.08
Lilamand 2001   22  0.6338  0.0026  0.0825  0.284  0.565  0.40
Luisada 1990   35  0.5923  0.0030  0.0732  0.1631  0.2315  0.19
Luisada 2008   49  0.5549  0.0044  0.0645  0.0630  0.2032  0.11
Lushtak 2004   45  0.5662  0.0047  0.0648  0.0652  0.0648  0.06
Malcuzynski 1951   23  0.6310  0.0112  0.1311  0.4634  0.1111  0.22
Malcuzynski 1961   29  0.6114  0.0110  0.1012  0.4559  0.0523  0.15
Magaloff 1977   60  0.4561  0.0060  0.0464  0.0450  0.0655  0.05
Magin 1975   3  0.721  0.381  0.374  0.6112  0.582  0.59
Meguri 1997   48  0.5550  0.0052  0.0652  0.0626  0.2031  0.11
Milkina 1970   26  0.6229  0.0033  0.0733  0.1460  0.0538  0.08
Mohovich 1999   20  0.6363  0.0023  0.0819  0.3844  0.0722  0.16
Nezu 2005   46  0.5622  0.0038  0.0642  0.0644  0.0840  0.07
Ohlsson 1999   4  0.7017  0.017  0.138  0.5743  0.0714  0.20
Olejniczak 1990   24  0.6340  0.0021  0.0815  0.4238  0.0817  0.18
Osinska 1989   7  0.6911  0.019  0.147  0.5734  0.108  0.24
Perlemuter 1992   28  0.6156  0.0037  0.0738  0.073  0.5812  0.20
Poblocka 1999   13  0.6542  0.0022  0.0816  0.4241  0.0718  0.17
Rangell 2001   34  0.6024  0.0049  0.0737  0.0745  0.0742  0.07
Richter 1960   61  0.4220  0.0063  0.0463  0.0455  0.0563  0.04
Richter 1961   63  0.3946  0.0064  0.0554  0.0564  0.0462  0.04
Rosen 1989   37  0.5932  0.0035  0.0934  0.0955  0.0541  0.07
Rubinstein 1939   36  0.5936  0.0029  0.0730  0.1755  0.0536  0.09
Rubinstein 1952   30  0.616  0.0215  0.1117  0.4038  0.0720  0.17
Rubinstein 1966   39  0.5928  0.0036  0.0739  0.0748  0.0647  0.06
Rudanovskaya 2007   43  0.5766  0.0056  0.0556  0.0537  0.0656  0.05
Shebanova 2002   47  0.5548  0.0055  0.0555  0.0558  0.0554  0.05
Smith 1975   9  0.677  0.016  0.229  0.5525  0.344  0.43
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tanyel 1992   25  0.6347  0.0032  0.0831  0.1756  0.0537  0.09
Tsujii 2005   11  0.6564  0.0027  0.0827  0.2039  0.0730  0.12
Uninsky 1959   2  0.734  0.074  0.222  0.6729  0.167  0.33
Vardi 1988   32  0.6113  0.0140  0.0835  0.0856  0.0546  0.06
Wasowski 1980   51  0.5457  0.0051  0.0741  0.0733  0.1434  0.10
Zimerman 1975   15  0.6416  0.0125  0.1120  0.3752  0.0526  0.14
Average   1  0.742  0.252  0.301  0.8244  0.079  0.24
Random 1   67  -0.0465  0.0066  0.0266  0.0230  0.1157  0.05
Random 2   65  -0.0267  0.0065  0.0265  0.0257  0.0466  0.03
Random 3   66  -0.0451  0.0067  0.0167  0.0148  0.0467  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).