Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   22  0.5924  0.0126  0.0426  0.2986  0.0346  0.09
Anderszewski 2003   51  0.4873  0.0065  0.0457  0.0484  0.0382  0.03
Ashkenazy 1981   17  0.627  0.0416  0.1312  0.4840  0.1818  0.29
Bacha 2000   18  0.6115  0.0111  0.119  0.515  0.524  0.51
Badura 1965   43  0.5117  0.0159  0.0373  0.0358  0.0567  0.04
Barbosa 1983   1  0.721  0.241  0.242  0.661  0.721  0.69
Biret 1990   12  0.6312  0.018  0.1110  0.5023  0.319  0.39
Blet 2003   29  0.5672  0.0048  0.0746  0.0767  0.0458  0.05
Block 1995   60  0.4611  0.0230  0.0545  0.0936  0.1734  0.12
Blumental 1952   32  0.5629  0.0046  0.0648  0.0622  0.2238  0.11
Boshniakovich 1969   48  0.4927  0.0055  0.0460  0.0459  0.0568  0.04
Brailowsky 1960   7  0.6668  0.0014  0.108  0.517  0.542  0.52
Bunin 1987   69  0.4279  0.0071  0.0378  0.0357  0.0569  0.04
Bunin 1987b   71  0.4158  0.0070  0.0376  0.0356  0.0560  0.04
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   47  0.4914  0.0161  0.0372  0.0317  0.3142  0.10
Cortot 1951   72  0.4139  0.0083  0.0465  0.0480  0.0471  0.04
Csalog 1996   81  0.3618  0.0127  0.0442  0.1525  0.2924  0.21
Czerny 1949   63  0.4587  0.0075  0.0387  0.0373  0.0484  0.03
Czerny 1990   21  0.5934  0.0032  0.0524  0.3173  0.0343  0.10
Duchoud 2007   45  0.5035  0.0043  0.0738  0.1838  0.1627  0.17
Ezaki 2006   6  0.6730  0.0019  0.1116  0.4648  0.0625  0.17
Falvay 1989   13  0.6356  0.0022  0.0623  0.3117  0.4310  0.37
Farrell 1958   23  0.5928  0.0034  0.0534  0.2038  0.1228  0.15
Ferenczy 1958   77  0.4051  0.0072  0.0379  0.0386  0.0383  0.03
Fliere 1977   14  0.636  0.046  0.133  0.6140  0.1717  0.32
Fou 1978   9  0.6523  0.0115  0.1113  0.4830  0.2711  0.36
Francois 1956   55  0.4761  0.0051  0.0455  0.0470  0.0390  0.03
Friedman 1923   76  0.4038  0.0085  0.0380  0.0359  0.0574  0.04
Friedman 1923b   75  0.4065  0.0084  0.0383  0.0353  0.0670  0.04
Friedman 1930   58  0.4619  0.0169  0.0374  0.0362  0.0565  0.04
Garcia 2007   59  0.4677  0.0074  0.0386  0.0374  0.0385  0.03
Garcia 2007b   67  0.4370  0.0080  0.0375  0.0350  0.0573  0.04
Gierzod 1998   54  0.4774  0.0054  0.0552  0.0571  0.0466  0.04
Gornostaeva 1994   57  0.4755  0.0058  0.0456  0.0479  0.0387  0.03
Groot 1988   27  0.5763  0.0029  0.0620  0.3832  0.3115  0.34
Harasiewicz 1955   19  0.6120  0.0131  0.0639  0.1772  0.0352  0.07
Hatto 1993   40  0.5331  0.0041  0.0735  0.1962  0.0448  0.09
Hatto 1997   35  0.5569  0.0040  0.0533  0.2173  0.0445  0.09
Horowitz 1949   41  0.5240  0.0053  0.0454  0.0439  0.1850  0.08
Indjic 1988   38  0.5432  0.0025  0.0531  0.2259  0.0541  0.10
Kapell 1951   73  0.4181  0.0052  0.0649  0.0668  0.0456  0.05
Kissin 1993   37  0.5544  0.0023  0.0530  0.2555  0.0537  0.11
Kushner 1989   31  0.5649  0.0035  0.0529  0.2663  0.0440  0.10
Luisada 1991   3  0.6960  0.009  0.136  0.5725  0.415  0.48
Lushtak 2004   5  0.6743  0.0021  0.1118  0.4255  0.0530  0.14
Malcuzynski 1961   80  0.3766  0.0076  0.0377  0.0367  0.0478  0.03
Magaloff 1978   42  0.5275  0.0042  0.0637  0.1847  0.0832  0.12
Magin 1975   56  0.4745  0.0044  0.0740  0.1748  0.0544  0.09
Michalowski 1933   83  0.3467  0.0079  0.0381  0.0371  0.0481  0.03
Milkina 1970   39  0.5336  0.0018  0.1121  0.3735  0.1920  0.27
Mohovich 1999   16  0.628  0.0320  0.1119  0.4240  0.1522  0.25
Moravec 1969   61  0.4526  0.0047  0.0747  0.0735  0.2431  0.13
Morozova 2008   10  0.6513  0.0112  0.1111  0.4926  0.2413  0.34
Neighaus 1950   20  0.599  0.0313  0.1015  0.4762  0.0529  0.15
Niedzielski 1931   78  0.3937  0.0057  0.0458  0.0465  0.0377  0.03
Ohlsson 1999   28  0.565  0.0510  0.1114  0.4730  0.2612  0.35
Osinska 1989   34  0.5542  0.0045  0.0644  0.1279  0.0353  0.06
Pachmann 1927   24  0.5841  0.0028  0.0425  0.305  0.538  0.40
Paderewski 1930   66  0.4359  0.0068  0.0461  0.0477  0.0380  0.03
Perlemuter 1992   15  0.6257  0.0033  0.0543  0.1353  0.0549  0.08
Pierdomenico 2008   53  0.4853  0.0049  0.0551  0.0535  0.2335  0.11
Poblocka 1999   74  0.4152  0.0056  0.0553  0.0562  0.0554  0.05
Rabcewiczowa 1932   44  0.5116  0.0150  0.0650  0.0652  0.0455  0.05
Rachmaninoff 1923   33  0.5547  0.0038  0.0528  0.2753  0.0533  0.12
Rangell 2001   79  0.3725  0.0037  0.0541  0.1618  0.3823  0.25
Richter 1976   82  0.3646  0.0067  0.0463  0.0453  0.0657  0.05
Rosen 1989   26  0.5810  0.0317  0.1117  0.4528  0.2614  0.34
Rosenthal 1930   87  0.2386  0.0088  0.0466  0.0481  0.0286  0.03
Rosenthal 1931   86  0.2784  0.0086  0.0459  0.0458  0.0463  0.04
Rosenthal 1931b   85  0.2888  0.0078  0.0384  0.0349  0.0572  0.04
Rosenthal 1931c   88  0.2164  0.0087  0.0382  0.0382  0.0389  0.03
Rosenthal 1931d   84  0.2985  0.0077  0.0388  0.0370  0.0488  0.03
Rossi 2007   50  0.4876  0.0082  0.0385  0.0367  0.0476  0.03
Rubinstein 1939   64  0.4533  0.0062  0.0464  0.0431  0.2836  0.11
Rubinstein 1952   49  0.4989  0.0039  0.0536  0.1924  0.3821  0.27
Rubinstein 1966   25  0.5854  0.0024  0.0527  0.2722  0.4116  0.33
Schilhawsky 1960   65  0.4462  0.0060  0.0368  0.0350  0.0664  0.04
Shebanova 2002   11  0.6421  0.017  0.097  0.5518  0.426  0.48
Smith 1975   30  0.5671  0.0036  0.0632  0.2251  0.0539  0.10
Sokolov 2002   68  0.4283  0.0064  0.0370  0.0375  0.0375  0.03
Sztompka 1959   62  0.4578  0.0081  0.0369  0.0362  0.0561  0.04
Tomsic 1995   52  0.4890  0.0063  0.0462  0.0474  0.0379  0.03
Uninsky 1932   46  0.5048  0.0066  0.0467  0.0448  0.0759  0.05
Uninsky 1971   70  0.4222  0.0173  0.0371  0.0368  0.0562  0.04
Wasowski 1980   36  0.553  0.095  0.1422  0.3325  0.2319  0.28
Zak 1937   4  0.684  0.093  0.234  0.6116  0.453  0.52
Zak 1951   8  0.6650  0.004  0.175  0.6120  0.347  0.46
Average   2  0.692  0.152  0.181  0.6960  0.0426  0.17
Random 1   91  -0.1291  0.0091  0.0191  0.0162  0.0491  0.02
Random 2   90  -0.0682  0.0090  0.0289  0.0219  0.2351  0.07
Random 3   89  -0.0380  0.0089  0.0290  0.0212  0.4247  0.09

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).