Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   53  0.2927  0.0058  0.0457  0.0482  0.0379  0.03
Anderszewski 2003   86  0.1282  0.0080  0.0475  0.0488  0.0277  0.03
Ashkenazy 1981   26  0.3566  0.0052  0.0462  0.0470  0.0563  0.04
Bacha 2000   64  0.2663  0.0071  0.0466  0.0464  0.0451  0.04
Badura 1965   82  0.1786  0.0081  0.0471  0.0468  0.0381  0.03
Barbosa 1983   83  0.1779  0.0079  0.0474  0.0482  0.0376  0.03
Biret 1990   51  0.3019  0.0044  0.0543  0.1248  0.0738  0.09
Blet 2003   62  0.2713  0.0154  0.0469  0.0468  0.0458  0.04
Block 1995   66  0.2641  0.0059  0.0456  0.0481  0.0382  0.03
Blumental 1952   81  0.1783  0.0073  0.0382  0.0387  0.0288  0.02
Boshniakovich 1969   18  0.3856  0.0023  0.0823  0.3953  0.0628  0.15
Brailowsky 1960   88  0.0890  0.0088  0.0288  0.0287  0.0286  0.02
Bunin 1987   63  0.2667  0.0057  0.0548  0.0570  0.0464  0.04
Bunin 1987b   68  0.2654  0.0056  0.0468  0.0472  0.0374  0.03
Chiu 1999   15  0.3832  0.0022  0.1122  0.4055  0.0529  0.14
Cohen 1997   34  0.3349  0.0035  0.0733  0.2042  0.2214  0.21
Cortot 1951   72  0.2446  0.0065  0.0454  0.0448  0.0749  0.05
Csalog 1996   21  0.3726  0.0027  0.0726  0.3756  0.0626  0.15
Czerny 1949   70  0.2576  0.0066  0.0453  0.0462  0.0560  0.04
Czerny 1990   42  0.3280  0.0046  0.0550  0.0577  0.0465  0.04
Duchoud 2007   10  0.4014  0.0111  0.125  0.5812  0.545  0.56
Ezaki 2006   78  0.2245  0.0078  0.0381  0.0384  0.0367  0.03
Falvay 1989   33  0.3353  0.0040  0.0541  0.1370  0.0443  0.07
Farrell 1958   55  0.2969  0.0037  0.0537  0.1867  0.0440  0.08
Ferenczy 1958   80  0.1862  0.0083  0.0378  0.0368  0.0478  0.03
Fliere 1977   8  0.429  0.0212  0.1512  0.5477  0.0424  0.15
Fou 1978   37  0.3238  0.0049  0.0552  0.0582  0.0354  0.04
Francois 1956   54  0.2934  0.0033  0.0732  0.2433  0.2013  0.22
Friedman 1923   59  0.2739  0.0063  0.0547  0.0565  0.0550  0.05
Friedman 1923b   56  0.2837  0.0062  0.0455  0.0455  0.0648  0.05
Friedman 1930   35  0.3322  0.0032  0.0736  0.1964  0.0535  0.10
Garcia 2007   6  0.423  0.133  0.314  0.696  0.652  0.67
Garcia 2007b   5  0.432  0.232  0.382  0.717  0.671  0.69
Gierzod 1998   49  0.3012  0.0142  0.0540  0.1375  0.0445  0.07
Gornostaeva 1994   57  0.2855  0.0064  0.0464  0.0478  0.0384  0.03
Groot 1988   41  0.3252  0.0036  0.0735  0.1979  0.0342  0.08
Harasiewicz 1955   11  0.3960  0.0015  0.1511  0.5475  0.0522  0.16
Hatto 1993   19  0.3723  0.0010  0.167  0.5848  0.0812  0.22
Hatto 1997   27  0.3561  0.0021  0.1119  0.4665  0.0430  0.14
Horowitz 1949   52  0.2957  0.0070  0.0473  0.0467  0.0457  0.04
Indjic 1988   24  0.3672  0.0014  0.1214  0.5464  0.0521  0.16
Kapell 1951   20  0.3750  0.0017  0.1017  0.5061  0.0518  0.16
Kissin 1993   29  0.3487  0.0024  0.0927  0.3448  0.0820  0.16
Kushner 1989   17  0.388  0.039  0.126  0.5854  0.0616  0.19
Luisada 1991   65  0.2673  0.0077  0.0383  0.0380  0.0368  0.03
Lushtak 2004   58  0.2835  0.0069  0.0646  0.0680  0.0361  0.04
Malcuzynski 1961   12  0.3910  0.0216  0.1615  0.5352  0.0617  0.18
Magaloff 1978   25  0.3520  0.0025  0.0824  0.3964  0.0431  0.12
Magin 1975   36  0.3233  0.0043  0.0639  0.1463  0.0539  0.08
Michalowski 1933   45  0.3151  0.0048  0.0461  0.0437  0.2136  0.09
Milkina 1970   61  0.277  0.037  0.1121  0.4446  0.0915  0.20
Mohovich 1999   71  0.2477  0.0053  0.0465  0.0489  0.0283  0.03
Moravec 1969   48  0.3070  0.0060  0.0549  0.0570  0.0452  0.04
Morozova 2008   46  0.3036  0.0031  0.0829  0.3271  0.0433  0.11
Neighaus 1950   28  0.3429  0.0039  0.0542  0.1371  0.0446  0.07
Niedzielski 1931   75  0.2244  0.0076  0.0377  0.0378  0.0372  0.03
Ohlsson 1999   23  0.3616  0.008  0.1116  0.5253  0.0519  0.16
Osinska 1989   9  0.4140  0.0018  0.1213  0.5444  0.129  0.25
Pachmann 1927   3  0.454  0.065  0.158  0.5810  0.603  0.59
Paderewski 1930   16  0.385  0.0413  0.139  0.5513  0.594  0.57
Perlemuter 1992   32  0.3471  0.0051  0.0463  0.0465  0.0553  0.04
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   77  0.2291  0.0072  0.0380  0.0387  0.0369  0.03
Rabcewiczowa 1932   50  0.3047  0.0067  0.0472  0.0482  0.0373  0.03
Rachmaninoff 1923   73  0.2324  0.0041  0.0545  0.1084  0.0347  0.05
Rangell 2001   44  0.3174  0.0068  0.0551  0.0577  0.0366  0.04
Richter 1976   7  0.4217  0.0020  0.1120  0.4545  0.1310  0.24
Rosen 1989   2  0.466  0.036  0.1710  0.5543  0.138  0.27
Rosenthal 1930   76  0.2275  0.0084  0.0386  0.0383  0.0380  0.03
Rosenthal 1931   87  0.1088  0.0087  0.0387  0.0388  0.0287  0.02
Rosenthal 1931b   85  0.1685  0.0086  0.0470  0.0483  0.0385  0.03
Rosenthal 1931c   79  0.2278  0.0082  0.0384  0.0384  0.0290  0.02
Rosenthal 1931d   84  0.1781  0.0085  0.0385  0.0386  0.0289  0.02
Rossi 2007   38  0.3221  0.0038  0.0638  0.1714  0.477  0.28
Rubinstein 1939   74  0.2325  0.0047  0.0458  0.0481  0.0371  0.03
Rubinstein 1952   39  0.3243  0.0029  0.0730  0.2963  0.0434  0.11
Rubinstein 1966   30  0.3448  0.0034  0.0831  0.2483  0.0341  0.08
Schilhawsky 1960   60  0.2758  0.0055  0.0460  0.0470  0.0459  0.04
Shebanova 2002   4  0.4411  0.024  0.143  0.6943  0.176  0.34
Smith 1975   67  0.2665  0.0075  0.0379  0.0385  0.0370  0.03
Sokolov 2002   47  0.3018  0.0026  0.0834  0.2050  0.0632  0.11
Sztompka 1959   14  0.3942  0.0028  0.0725  0.3754  0.0625  0.15
Tomsic 1995   40  0.3231  0.0050  0.0467  0.0468  0.0456  0.04
Uninsky 1932   22  0.3730  0.0030  0.0728  0.3441  0.1411  0.22
Uninsky 1971   69  0.2589  0.0074  0.0376  0.0375  0.0475  0.03
Wasowski 1980   13  0.3915  0.0019  0.1118  0.4872  0.0523  0.15
Zak 1937   31  0.3428  0.0045  0.0544  0.1167  0.0444  0.07
Zak 1951   43  0.3259  0.0061  0.0459  0.0463  0.0455  0.04
Average   1  0.531  0.291  0.291  0.8088  0.0327  0.15
Random 1   90  -0.0364  0.0090  0.0290  0.0244  0.0862  0.04
Random 2   91  -0.0684  0.0091  0.0191  0.0181  0.0291  0.01
Random 3   89  0.0068  0.0089  0.0289  0.0213  0.4237  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).