Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.3719  0.0045  0.0558  0.0575  0.0362  0.04
Anderszewski 2003   71  0.2384  0.0059  0.0645  0.0682  0.0359  0.04
Ashkenazy 1981   48  0.3330  0.0068  0.0376  0.0382  0.0377  0.03
Bacha 2000   42  0.3564  0.0061  0.0552  0.0572  0.0350  0.04
Badura 1965   78  0.1966  0.0071  0.0373  0.0381  0.0375  0.03
Barbosa 1983   81  0.1844  0.0073  0.0374  0.0382  0.0372  0.03
Biret 1990   45  0.3367  0.0031  0.0825  0.3782  0.0335  0.11
Blet 2003   65  0.2632  0.0072  0.0380  0.0382  0.0373  0.03
Block 1995   86  0.0777  0.0087  0.0286  0.0287  0.0286  0.02
Blumental 1952   73  0.2373  0.0067  0.0371  0.0381  0.0376  0.03
Boshniakovich 1969   9  0.4218  0.0014  0.0912  0.5449  0.0616  0.18
Brailowsky 1960   87  0.0685  0.0089  0.0188  0.0188  0.0189  0.01
Bunin 1987   67  0.2586  0.0066  0.0549  0.0580  0.0363  0.04
Bunin 1987b   72  0.2378  0.0065  0.0372  0.0381  0.0371  0.03
Chiu 1999   52  0.3053  0.0062  0.0561  0.0580  0.0269  0.03
Cohen 1997   15  0.4027  0.0024  0.0921  0.4814  0.328  0.39
Cortot 1951   80  0.1817  0.0058  0.0554  0.0548  0.0746  0.06
Csalog 1996   19  0.397  0.0313  0.0822  0.4836  0.1911  0.30
Czerny 1949   17  0.4057  0.0022  0.1219  0.4950  0.0713  0.19
Czerny 1990   46  0.3387  0.0043  0.0643  0.1183  0.0345  0.06
Duchoud 2007   14  0.4112  0.0111  0.1215  0.527  0.575  0.54
Ezaki 2006   54  0.3070  0.0057  0.0551  0.0585  0.0349  0.04
Falvay 1989   22  0.3988  0.0028  0.0838  0.2274  0.0438  0.09
Farrell 1958   41  0.3522  0.003  0.187  0.6031  0.336  0.44
Ferenczy 1958   61  0.2756  0.0076  0.0465  0.0466  0.0561  0.04
Fliere 1977   39  0.3510  0.0235  0.0736  0.2783  0.0337  0.09
Fou 1978   40  0.3541  0.0052  0.0546  0.0576  0.0454  0.04
Francois 1956   23  0.384  0.064  0.1516  0.5121  0.377  0.43
Friedman 1923   84  0.1689  0.0081  0.0370  0.0378  0.0479  0.03
Friedman 1923b   83  0.1674  0.0080  0.0284  0.0284  0.0387  0.02
Friedman 1930   60  0.2720  0.0047  0.0557  0.0565  0.0460  0.04
Garcia 2007   5  0.461  0.311  0.301  0.734  0.641  0.68
Garcia 2007b   4  0.482  0.212  0.452  0.7213  0.582  0.65
Gierzod 1998   1  0.523  0.127  0.1514  0.5450  0.0615  0.18
Gornostaeva 1994   50  0.3279  0.0040  0.0740  0.2081  0.0343  0.08
Groot 1988   63  0.2761  0.0053  0.0550  0.0572  0.0465  0.04
Harasiewicz 1955   12  0.4250  0.0015  0.0911  0.5461  0.0521  0.16
Hatto 1993   36  0.3625  0.0021  0.1720  0.4959  0.0428  0.14
Hatto 1997   29  0.3738  0.0019  0.1118  0.5064  0.0427  0.14
Horowitz 1949   76  0.1958  0.0086  0.0283  0.0281  0.0382  0.02
Indjic 1988   24  0.3814  0.0120  0.1617  0.5052  0.0520  0.16
Kapell 1951   26  0.3823  0.0012  0.099  0.5541  0.1710  0.31
Kissin 1993   49  0.3368  0.0049  0.0467  0.0467  0.0457  0.04
Kushner 1989   10  0.4216  0.009  0.135  0.6161  0.0517  0.17
Luisada 1991   79  0.1880  0.0085  0.0287  0.0286  0.0280  0.02
Lushtak 2004   53  0.3039  0.0030  0.0828  0.3687  0.0336  0.10
Malcuzynski 1961   16  0.4015  0.0110  0.128  0.5749  0.0712  0.20
Magaloff 1978   58  0.2890  0.0055  0.0556  0.0581  0.0352  0.04
Magin 1975   33  0.3642  0.0048  0.0548  0.0560  0.0453  0.04
Michalowski 1933   57  0.2949  0.0056  0.0553  0.0514  0.4524  0.15
Milkina 1970   11  0.4271  0.0018  0.0910  0.5567  0.0518  0.17
Mohovich 1999   64  0.2643  0.0041  0.0641  0.1676  0.0442  0.08
Moravec 1969   55  0.3081  0.0077  0.0560  0.0584  0.0267  0.03
Morozova 2008   44  0.3446  0.0038  0.0932  0.3362  0.0531  0.13
Neighaus 1950   62  0.2729  0.0070  0.0378  0.0375  0.0378  0.03
Niedzielski 1931   85  0.1540  0.0079  0.0377  0.0384  0.0281  0.02
Ohlsson 1999   37  0.3665  0.0032  0.0831  0.3351  0.0530  0.13
Osinska 1989   3  0.496  0.048  0.174  0.6364  0.0514  0.18
Pachmann 1927   8  0.439  0.0225  0.0934  0.2918  0.479  0.37
Paderewski 1930   6  0.458  0.036  0.136  0.611  0.673  0.64
Perlemuter 1992   25  0.3869  0.0042  0.0642  0.1250  0.0641  0.08
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   77  0.1972  0.0074  0.0468  0.0483  0.0268  0.03
Rabcewiczowa 1932   38  0.3575  0.0036  0.0835  0.2878  0.0339  0.09
Rachmaninoff 1923   82  0.1724  0.0044  0.0544  0.0981  0.0348  0.05
Rangell 2001   34  0.3654  0.0037  0.0737  0.2663  0.0534  0.11
Richter 1976   35  0.3659  0.0051  0.0463  0.0458  0.0455  0.04
Rosen 1989   7  0.4411  0.0126  0.0930  0.3467  0.0433  0.12
Rosenthal 1930   75  0.2176  0.0083  0.0381  0.0384  0.0285  0.02
Rosenthal 1931   74  0.2182  0.0082  0.0285  0.0283  0.0283  0.02
Rosenthal 1931b   59  0.2837  0.0064  0.0464  0.0469  0.0466  0.04
Rosenthal 1931c   70  0.2462  0.0078  0.0379  0.0385  0.0288  0.02
Rosenthal 1931d   68  0.2531  0.0063  0.0466  0.0470  0.0464  0.04
Rossi 2007   2  0.495  0.055  0.153  0.653  0.554  0.60
Rubinstein 1939   32  0.3721  0.0034  0.0733  0.3249  0.0529  0.13
Rubinstein 1952   21  0.3934  0.0017  0.0923  0.4653  0.0619  0.17
Rubinstein 1966   18  0.4026  0.0016  0.0813  0.5471  0.0425  0.15
Schilhawsky 1960   13  0.4133  0.0027  0.0726  0.3747  0.0626  0.15
Shebanova 2002   28  0.3751  0.0039  0.0639  0.2069  0.0440  0.09
Smith 1975   66  0.2560  0.0075  0.0469  0.0483  0.0370  0.03
Sokolov 2002   56  0.3028  0.0046  0.0555  0.0569  0.0351  0.04
Sztompka 1959   47  0.3383  0.0060  0.0559  0.0567  0.0456  0.04
Tomsic 1995   20  0.3936  0.0029  0.0927  0.3654  0.0623  0.15
Uninsky 1932   69  0.2445  0.0069  0.0375  0.0375  0.0374  0.03
Uninsky 1971   43  0.3535  0.0050  0.0462  0.0467  0.0458  0.04
Wasowski 1980   51  0.3155  0.0054  0.0547  0.0554  0.0647  0.05
Zak 1937   31  0.3747  0.0033  0.0729  0.3565  0.0432  0.12
Zak 1951   30  0.3713  0.0123  0.0924  0.4453  0.0522  0.15
Random 1   89  -0.0952  0.0090  0.0190  0.0175  0.0290  0.01
Random 2   88  -0.0363  0.0088  0.0189  0.0153  0.0484  0.02
Random 3   90  -0.0948  0.0084  0.0282  0.0228  0.2244  0.07

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).