Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   78  0.2036  0.0065  0.0383  0.0362  0.0482  0.03
Anderszewski 2003   44  0.3051  0.0022  0.0620  0.4142  0.2113  0.29
Ashkenazy 1981   54  0.2770  0.0059  0.0559  0.0572  0.0557  0.05
Bacha 2000   68  0.2365  0.0076  0.0566  0.0566  0.0461  0.04
Badura 1965   73  0.2158  0.0071  0.0564  0.0583  0.0369  0.04
Barbosa 1983   19  0.3420  0.0013  0.0914  0.5347  0.0924  0.22
Biret 1990   69  0.2361  0.0073  0.0550  0.0566  0.0471  0.04
Blet 2003   60  0.2637  0.0064  0.0381  0.0373  0.0380  0.03
Block 1995   18  0.366  0.0114  0.0821  0.4044  0.1226  0.22
Blumental 1952   56  0.2711  0.0153  0.0472  0.0463  0.0570  0.04
Boshniakovich 1969   3  0.462  0.093  0.393  0.7616  0.553  0.65
Brailowsky 1960   75  0.2164  0.0082  0.0476  0.0479  0.0462  0.04
Bunin 1987   34  0.3177  0.0040  0.0538  0.1653  0.0639  0.10
Bunin 1987b   30  0.3274  0.0041  0.0537  0.1645  0.1332  0.14
Chiu 1999   35  0.3143  0.0031  0.0829  0.3058  0.0535  0.12
Cohen 1997   61  0.2623  0.0045  0.0544  0.1052  0.0642  0.08
Cortot 1951   74  0.2178  0.0080  0.0380  0.0361  0.0672  0.04
Csalog 1996   29  0.3219  0.0030  0.0830  0.3040  0.1227  0.19
Czerny 1949   86  0.1679  0.0078  0.0477  0.0467  0.0468  0.04
Czerny 1990   36  0.3181  0.0044  0.0445  0.0970  0.0448  0.06
Duchoud 2007   47  0.2947  0.0054  0.0554  0.0550  0.0655  0.05
Ezaki 2006   72  0.2253  0.0072  0.0556  0.0569  0.0549  0.05
Falvay 1989   46  0.2949  0.0034  0.1034  0.2162  0.0537  0.10
Farrell 1958   63  0.2554  0.0052  0.0567  0.0558  0.0651  0.05
Ferenczy 1958   83  0.1785  0.0084  0.0288  0.0267  0.0481  0.03
Fliere 1977   6  0.4316  0.005  0.194  0.6944  0.1712  0.34
Fou 1978   33  0.3125  0.0043  0.0443  0.1063  0.0447  0.06
Francois 1956   80  0.1980  0.0081  0.0557  0.0576  0.0373  0.04
Friedman 1923   51  0.2927  0.0056  0.0555  0.0558  0.0560  0.05
Friedman 1923b   52  0.2868  0.0061  0.0552  0.0550  0.0658  0.05
Friedman 1930   24  0.3310  0.0132  0.0932  0.2457  0.0536  0.11
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.551  0.721  0.711  0.881  0.871  0.87
Gierzod 1998   43  0.3014  0.0023  0.0825  0.3558  0.0634  0.14
Gornostaeva 1994   41  0.3046  0.0048  0.0561  0.0543  0.0945  0.07
Groot 1988   39  0.3059  0.0036  0.0736  0.1768  0.0443  0.08
Harasiewicz 1955   12  0.387  0.018  0.1511  0.5744  0.1220  0.26
Hatto 1993   22  0.3417  0.0028  0.0818  0.4250  0.0729  0.17
Hatto 1997   58  0.2750  0.0039  0.0642  0.1050  0.0544  0.07
Horowitz 1949   50  0.2938  0.0060  0.0551  0.0557  0.0552  0.05
Indjic 1988   25  0.3355  0.0027  0.0719  0.4169  0.0533  0.14
Kapell 1951   5  0.438  0.0110  0.1810  0.5927  0.317  0.43
Kissin 1993   62  0.2567  0.0068  0.0478  0.0451  0.0753  0.05
Kushner 1989   13  0.3729  0.006  0.179  0.6134  0.299  0.42
Luisada 1991   49  0.2987  0.0062  0.0747  0.0760  0.0646  0.06
Lushtak 2004   48  0.2973  0.0055  0.0648  0.0655  0.0556  0.05
Malcuzynski 1961   14  0.3728  0.009  0.168  0.6332  0.336  0.46
Magaloff 1978   53  0.2866  0.0051  0.0470  0.0479  0.0375  0.03
Magin 1975   55  0.2771  0.0057  0.0553  0.0577  0.0464  0.04
Michalowski 1933   70  0.2335  0.0075  0.0473  0.0470  0.0566  0.04
Milkina 1970   71  0.2333  0.0035  0.0740  0.1455  0.0541  0.08
Mohovich 1999   4  0.445  0.024  0.365  0.6816  0.584  0.63
Moravec 1969   40  0.3022  0.0063  0.0468  0.0475  0.0374  0.03
Morozova 2008   37  0.3024  0.0018  0.0922  0.3942  0.1718  0.26
Neighaus 1950   57  0.2713  0.0074  0.0558  0.0589  0.0285  0.03
Niedzielski 1931   45  0.2912  0.0133  0.1033  0.2137  0.2422  0.22
Ohlsson 1999   65  0.2590  0.0047  0.0560  0.0571  0.0465  0.04
Osinska 1989   20  0.3462  0.0026  0.0723  0.3860  0.0531  0.14
Pachmann 1927   26  0.3340  0.0037  0.0535  0.1827  0.3717  0.26
Paderewski 1930   23  0.3318  0.0029  0.0928  0.3116  0.5510  0.41
Perlemuter 1992   27  0.3348  0.0021  0.0731  0.2633  0.2421  0.25
Pierdomenico 2008   7  0.429  0.017  0.166  0.654  0.692  0.67
Poblocka 1999   38  0.3034  0.0042  0.0541  0.1268  0.0540  0.08
Rabcewiczowa 1932   31  0.3145  0.0038  0.0539  0.1658  0.0638  0.10
Rachmaninoff 1923   67  0.2486  0.0066  0.0379  0.0376  0.0376  0.03
Rangell 2001   8  0.4226  0.0012  0.1412  0.5612  0.555  0.55
Richter 1976   11  0.3856  0.0016  0.1213  0.5532  0.348  0.43
Rosen 1989   10  0.394  0.0215  0.1016  0.4742  0.1419  0.26
Rosenthal 1930   82  0.1860  0.0088  0.0384  0.0385  0.0383  0.03
Rosenthal 1931   88  0.1182  0.0087  0.0286  0.0281  0.0388  0.02
Rosenthal 1931b   85  0.1789  0.0083  0.0287  0.0266  0.0486  0.03
Rosenthal 1931c   76  0.2044  0.0079  0.0474  0.0479  0.0387  0.03
Rosenthal 1931d   81  0.1888  0.0085  0.0382  0.0371  0.0484  0.03
Rossi 2007   64  0.2552  0.0046  0.0565  0.058  0.5928  0.17
Rubinstein 1939   79  0.2072  0.0069  0.0469  0.0483  0.0378  0.03
Rubinstein 1952   59  0.2757  0.0058  0.0746  0.0776  0.0359  0.05
Rubinstein 1966   9  0.4130  0.0011  0.177  0.6440  0.1314  0.29
Schilhawsky 1960   66  0.2441  0.0070  0.0471  0.0454  0.0567  0.04
Shebanova 2002   17  0.3621  0.0017  0.1015  0.4944  0.1615  0.28
Smith 1975   87  0.1242  0.0086  0.0385  0.0382  0.0377  0.03
Sokolov 2002   84  0.1763  0.0067  0.0475  0.0468  0.0463  0.04
Sztompka 1959   28  0.3269  0.0020  0.0826  0.3349  0.0730  0.15
Tomsic 1995   21  0.3439  0.0019  0.1017  0.4626  0.3011  0.37
Uninsky 1932   32  0.3191  0.0049  0.0649  0.0660  0.0554  0.05
Uninsky 1971   77  0.2083  0.0077  0.0563  0.0588  0.0279  0.03
Wasowski 1980   42  0.3032  0.0050  0.0562  0.0569  0.0550  0.05
Zak 1937   15  0.3731  0.0025  0.0927  0.3343  0.1523  0.22
Zak 1951   16  0.3715  0.0024  0.0724  0.3534  0.2016  0.26
Average   2  0.513  0.042  0.392  0.8356  0.0625  0.22
Random 1   91  -0.0775  0.0089  0.0189  0.0149  0.0590  0.02
Random 2   89  -0.0284  0.0090  0.0190  0.0169  0.0389  0.02
Random 3   90  -0.0576  0.0091  0.0191  0.0164  0.0391  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).