Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.3719  0.0046  0.0559  0.0576  0.0363  0.04
Anderszewski 2003   72  0.2385  0.0060  0.0646  0.0683  0.0360  0.04
Ashkenazy 1981   49  0.3331  0.0069  0.0377  0.0383  0.0378  0.03
Bacha 2000   43  0.3565  0.0062  0.0553  0.0573  0.0351  0.04
Badura 1965   79  0.1967  0.0072  0.0374  0.0382  0.0286  0.02
Barbosa 1983   82  0.1843  0.0074  0.0375  0.0383  0.0373  0.03
Biret 1990   46  0.3368  0.0032  0.0826  0.3783  0.0336  0.11
Blet 2003   66  0.2633  0.0073  0.0381  0.0383  0.0374  0.03
Block 1995   87  0.0778  0.0088  0.0287  0.0288  0.0287  0.02
Blumental 1952   74  0.2374  0.0068  0.0372  0.0382  0.0377  0.03
Boshniakovich 1969   10  0.4218  0.0015  0.0913  0.5450  0.0616  0.18
Brailowsky 1960   88  0.0686  0.0090  0.0189  0.0189  0.0190  0.01
Bunin 1987   68  0.2587  0.0067  0.0550  0.0581  0.0364  0.04
Bunin 1987b   73  0.2379  0.0066  0.0373  0.0382  0.0372  0.03
Chiu 1999   53  0.3054  0.0063  0.0462  0.0481  0.0270  0.03
Cohen 1997   16  0.4026  0.0025  0.0922  0.4815  0.328  0.39
Cortot 1951   81  0.1817  0.0059  0.0555  0.0549  0.0747  0.06
Csalog 1996   20  0.398  0.0214  0.0823  0.4837  0.1911  0.30
Czerny 1949   18  0.4058  0.0023  0.1120  0.4951  0.0713  0.19
Czerny 1990   47  0.3388  0.0044  0.0644  0.1184  0.0346  0.06
Duchoud 2007   15  0.4111  0.0112  0.1116  0.528  0.575  0.54
Ezaki 2006   55  0.3071  0.0058  0.0552  0.0586  0.0350  0.04
Falvay 1989   23  0.3989  0.0029  0.0739  0.2275  0.0439  0.09
Farrell 1958   42  0.3523  0.004  0.178  0.6032  0.336  0.44
Ferenczy 1958   62  0.2757  0.0077  0.0466  0.0467  0.0462  0.04
Fliere 1977   40  0.3510  0.0236  0.0737  0.2784  0.0338  0.09
Fou 1978   41  0.3541  0.0053  0.0547  0.0577  0.0355  0.04
Francois 1956   24  0.385  0.065  0.1517  0.5122  0.377  0.43
Friedman 1923   85  0.1690  0.0082  0.0371  0.0379  0.0480  0.03
Friedman 1923b   84  0.1675  0.0081  0.0285  0.0285  0.0388  0.02
Friedman 1930   61  0.2720  0.0048  0.0558  0.0566  0.0461  0.04
Garcia 2007   6  0.461  0.301  0.302  0.735  0.641  0.68
Garcia 2007b   5  0.483  0.152  0.383  0.7214  0.582  0.65
Gierzod 1998   1  0.524  0.098  0.1515  0.5451  0.0615  0.18
Gornostaeva 1994   51  0.3280  0.0041  0.0641  0.2082  0.0344  0.08
Groot 1988   64  0.2762  0.0054  0.0551  0.0573  0.0466  0.04
Harasiewicz 1955   13  0.4251  0.0016  0.0812  0.5462  0.0521  0.16
Hatto 1993   37  0.3625  0.0022  0.1621  0.4960  0.0429  0.14
Hatto 1997   30  0.3749  0.0020  0.1119  0.5065  0.0428  0.14
Horowitz 1949   77  0.1959  0.0087  0.0284  0.0282  0.0383  0.02
Indjic 1988   25  0.3827  0.0021  0.1618  0.5053  0.0520  0.16
Kapell 1951   27  0.3828  0.0013  0.0910  0.5542  0.1710  0.31
Kissin 1993   50  0.3369  0.0050  0.0468  0.0468  0.0458  0.04
Kushner 1989   11  0.4216  0.0010  0.136  0.6162  0.0517  0.17
Luisada 1991   80  0.1881  0.0086  0.0288  0.0287  0.0281  0.02
Lushtak 2004   54  0.3039  0.0031  0.0829  0.3688  0.0337  0.10
Malcuzynski 1961   17  0.4015  0.0111  0.119  0.5750  0.0712  0.20
Magaloff 1978   59  0.2891  0.0056  0.0557  0.0582  0.0353  0.04
Magin 1975   34  0.3645  0.0049  0.0549  0.0561  0.0454  0.04
Michalowski 1933   58  0.2950  0.0057  0.0554  0.0515  0.4524  0.15
Milkina 1970   12  0.4272  0.0019  0.0911  0.5568  0.0518  0.17
Mohovich 1999   65  0.2642  0.0042  0.0642  0.1677  0.0443  0.08
Moravec 1969   56  0.3082  0.0078  0.0561  0.0585  0.0268  0.03
Morozova 2008   45  0.3446  0.0039  0.0933  0.3363  0.0532  0.13
Neighaus 1950   63  0.2730  0.0071  0.0379  0.0376  0.0379  0.03
Niedzielski 1931   86  0.1540  0.0080  0.0378  0.0385  0.0282  0.02
Ohlsson 1999   38  0.3666  0.0033  0.0832  0.3352  0.0531  0.13
Osinska 1989   4  0.4914  0.019  0.175  0.6365  0.0514  0.18
Pachmann 1927   9  0.439  0.0226  0.0935  0.2919  0.479  0.37
Paderewski 1930   7  0.457  0.037  0.137  0.611  0.673  0.64
Perlemuter 1992   26  0.3870  0.0043  0.0643  0.1251  0.0542  0.08
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   78  0.1973  0.0075  0.0469  0.0484  0.0269  0.03
Rabcewiczowa 1932   39  0.3576  0.0037  0.0836  0.2879  0.0340  0.09
Rachmaninoff 1923   83  0.1722  0.0045  0.0545  0.0982  0.0349  0.05
Rangell 2001   35  0.3655  0.0038  0.0738  0.2664  0.0535  0.11
Richter 1976   36  0.3660  0.0052  0.0464  0.0459  0.0456  0.04
Rosen 1989   8  0.4412  0.0127  0.0931  0.3468  0.0434  0.12
Rosenthal 1930   76  0.2177  0.0084  0.0382  0.0385  0.0285  0.02
Rosenthal 1931   75  0.2183  0.0083  0.0286  0.0284  0.0284  0.02
Rosenthal 1931b   60  0.2838  0.0065  0.0465  0.0470  0.0467  0.04
Rosenthal 1931c   71  0.2463  0.0079  0.0380  0.0386  0.0289  0.02
Rosenthal 1931d   69  0.2532  0.0064  0.0467  0.0471  0.0465  0.04
Rossi 2007   3  0.496  0.056  0.154  0.654  0.554  0.60
Rubinstein 1939   33  0.3721  0.0035  0.0734  0.3250  0.0530  0.13
Rubinstein 1952   22  0.3935  0.0018  0.0924  0.4654  0.0619  0.17
Rubinstein 1966   19  0.4024  0.0017  0.0814  0.5472  0.0425  0.15
Schilhawsky 1960   14  0.4134  0.0028  0.0727  0.3748  0.0626  0.15
Shebanova 2002   29  0.3752  0.0040  0.0640  0.2070  0.0441  0.09
Smith 1975   67  0.2561  0.0076  0.0470  0.0484  0.0371  0.03
Sokolov 2002   57  0.3029  0.0047  0.0556  0.0570  0.0352  0.04
Sztompka 1959   48  0.3384  0.0061  0.0560  0.0568  0.0457  0.04
Tomsic 1995   21  0.3937  0.0030  0.0928  0.3655  0.0623  0.15
Uninsky 1932   70  0.2444  0.0070  0.0376  0.0376  0.0375  0.03
Uninsky 1971   44  0.3536  0.0051  0.0463  0.0468  0.0459  0.04
Wasowski 1980   52  0.3156  0.0055  0.0548  0.0555  0.0648  0.05
Zak 1937   32  0.3747  0.0034  0.0730  0.3566  0.0433  0.12
Zak 1951   31  0.3713  0.0124  0.0925  0.4454  0.0522  0.15
Average   2  0.512  0.153  0.201  0.7384  0.0327  0.15
Random 1   90  -0.0953  0.0091  0.0191  0.0175  0.0291  0.01
Random 2   89  -0.0364  0.0089  0.0190  0.0145  0.0876  0.03
Random 3   91  -0.0948  0.0085  0.0283  0.0228  0.2345  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).