Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   30  0.5418  0.0038  0.0633  0.2071  0.0336  0.08
Anderszewski 2003   10  0.5831  0.0017  0.089  0.4729  0.196  0.30
Ashkenazy 1981   8  0.5877  0.0015  0.0618  0.3751  0.0523  0.14
Bacha 2000   41  0.5142  0.0049  0.0551  0.0545  0.0741  0.06
Badura 1965   82  0.3576  0.0079  0.0384  0.0358  0.0482  0.03
Barbosa 1983   84  0.3467  0.0081  0.0380  0.0363  0.0478  0.03
Biret 1990   2  0.627  0.018  0.113  0.5540  0.158  0.29
Blet 2003   25  0.555  0.0224  0.0632  0.2654  0.0532  0.11
Block 1995   39  0.5115  0.015  0.1926  0.3133  0.1811  0.24
Blumental 1952   36  0.536  0.0113  0.0835  0.2039  0.1316  0.16
Boshniakovich 1969   11  0.588  0.0118  0.0927  0.3150  0.0622  0.14
Brailowsky 1960   38  0.5248  0.0057  0.0371  0.0347  0.0555  0.04
Bunin 1987   63  0.4645  0.0068  0.0557  0.0572  0.0465  0.04
Bunin 1987b   64  0.4560  0.0067  0.0458  0.0473  0.0460  0.04
Chiu 1999   61  0.4632  0.0069  0.0373  0.0385  0.0372  0.03
Cohen 1997   86  0.3020  0.0080  0.0376  0.0375  0.0383  0.03
Cortot 1951   14  0.5687  0.0032  0.1019  0.3736  0.1810  0.26
Csalog 1996   87  0.2853  0.0083  0.0383  0.0382  0.0380  0.03
Czerny 1949   59  0.4782  0.0050  0.0646  0.0646  0.0643  0.06
Czerny 1990   33  0.5349  0.0047  0.0647  0.0684  0.0366  0.04
Duchoud 2007   18  0.5522  0.0028  0.0624  0.3335  0.239  0.28
Ezaki 2006   34  0.5374  0.0053  0.0550  0.0571  0.0353  0.04
Falvay 1989   80  0.3770  0.0085  0.0385  0.0379  0.0473  0.03
Farrell 1958   6  0.6110  0.014  0.174  0.5415  0.343  0.43
Ferenczy 1958   49  0.5035  0.0045  0.0460  0.0449  0.0650  0.05
Fliere 1977   4  0.6126  0.0010  0.097  0.4964  0.0419  0.14
Fou 1978   32  0.5365  0.0048  0.0556  0.0555  0.0547  0.05
Francois 1956   76  0.3979  0.0066  0.0552  0.0579  0.0369  0.04
Friedman 1923   71  0.4159  0.0076  0.0377  0.0367  0.0570  0.04
Friedman 1923b   70  0.4239  0.0074  0.0381  0.0375  0.0484  0.03
Friedman 1930   77  0.3950  0.0075  0.0382  0.0351  0.0563  0.04
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.721  0.731  0.721  0.841  0.811  0.82
Gierzod 1998   20  0.5575  0.0030  0.0721  0.3650  0.0527  0.13
Gornostaeva 1994   52  0.4964  0.0061  0.0463  0.0487  0.0285  0.03
Groot 1988   62  0.4671  0.0036  0.0740  0.1485  0.0345  0.06
Harasiewicz 1955   28  0.5414  0.0111  0.098  0.4754  0.0424  0.14
Hatto 1993   50  0.4989  0.0042  0.0539  0.1670  0.0437  0.08
Hatto 1997   48  0.5080  0.0044  0.0542  0.1054  0.0540  0.07
Horowitz 1949   51  0.4966  0.0040  0.0543  0.1057  0.0442  0.06
Indjic 1988   47  0.5083  0.0043  0.0441  0.1165  0.0439  0.07
Kapell 1951   29  0.5425  0.009  0.1010  0.4645  0.0714  0.18
Kissin 1993   44  0.5081  0.0059  0.0555  0.0584  0.0362  0.04
Kushner 1989   13  0.5611  0.0116  0.0712  0.4351  0.0518  0.15
Luisada 1991   5  0.614  0.0214  0.0820  0.3651  0.0525  0.13
Lushtak 2004   22  0.5519  0.0034  0.1025  0.3149  0.0621  0.14
Malcuzynski 1961   57  0.4762  0.0064  0.0470  0.0456  0.0461  0.04
Magaloff 1978   58  0.4743  0.0065  0.0553  0.0561  0.0457  0.04
Magin 1975   12  0.5723  0.0022  0.0623  0.3341  0.1112  0.19
Michalowski 1933   46  0.5030  0.0020  0.0722  0.3435  0.285  0.31
Milkina 1970   53  0.4946  0.0052  0.0549  0.0582  0.0459  0.04
Mohovich 1999   23  0.5544  0.0037  0.0534  0.2087  0.0244  0.06
Moravec 1969   78  0.3854  0.0070  0.0465  0.0467  0.0371  0.03
Morozova 2008   16  0.5663  0.0029  0.0628  0.3059  0.0433  0.11
Neighaus 1950   15  0.5624  0.0027  0.0513  0.4379  0.0428  0.13
Niedzielski 1931   43  0.512  0.043  0.2316  0.4116  0.364  0.38
Ohlsson 1999   26  0.5447  0.0021  0.0630  0.2967  0.0431  0.11
Osinska 1989   42  0.5112  0.0151  0.0648  0.0686  0.0354  0.04
Pachmann 1927   83  0.3572  0.0087  0.0467  0.0481  0.0377  0.03
Paderewski 1930   56  0.4838  0.0054  0.0645  0.0661  0.0449  0.05
Perlemuter 1992   3  0.613  0.032  0.312  0.6423  0.302  0.44
Pierdomenico 2008   65  0.4521  0.0062  0.0462  0.0452  0.0646  0.05
Poblocka 1999   19  0.5516  0.0019  0.0911  0.4352  0.0517  0.15
Rabcewiczowa 1932   55  0.4841  0.0058  0.0461  0.0458  0.0458  0.04
Rachmaninoff 1923   21  0.5533  0.0012  0.0814  0.4262  0.0426  0.13
Rangell 2001   75  0.3955  0.0072  0.0378  0.0378  0.0386  0.03
Richter 1976   60  0.4628  0.0056  0.0469  0.0447  0.0648  0.05
Rosen 1989   37  0.5213  0.0141  0.0544  0.0972  0.0351  0.05
Rosenthal 1930   68  0.4237  0.0077  0.0554  0.0565  0.0464  0.04
Rosenthal 1931   73  0.4057  0.0071  0.0374  0.0364  0.0379  0.03
Rosenthal 1931b   66  0.4327  0.0055  0.0466  0.0453  0.0568  0.04
Rosenthal 1931c   79  0.3890  0.0078  0.0379  0.0375  0.0387  0.03
Rosenthal 1931d   67  0.4356  0.0063  0.0468  0.0467  0.0467  0.04
Rossi 2007   74  0.409  0.0160  0.0459  0.0458  0.0556  0.04
Rubinstein 1939   81  0.3684  0.0084  0.0387  0.0372  0.0475  0.03
Rubinstein 1952   85  0.3285  0.0086  0.0372  0.0366  0.0488  0.03
Rubinstein 1966   72  0.4034  0.0082  0.0375  0.0381  0.0381  0.03
Schilhawsky 1960   24  0.5517  0.006  0.185  0.5341  0.177  0.30
Shebanova 2002   31  0.5336  0.0039  0.0838  0.1754  0.0535  0.09
Smith 1975   35  0.5373  0.0046  0.0464  0.0478  0.0374  0.03
Sokolov 2002   27  0.5451  0.0031  0.0829  0.3062  0.0430  0.11
Sztompka 1959   7  0.5940  0.007  0.196  0.5248  0.0713  0.19
Tomsic 1995   69  0.4258  0.0073  0.0386  0.0374  0.0376  0.03
Uninsky 1932   9  0.5852  0.0023  0.0617  0.4155  0.0615  0.16
Uninsky 1971   17  0.5629  0.0025  0.0715  0.4163  0.0520  0.14
Wasowski 1980   40  0.5186  0.0033  0.1031  0.2761  0.0529  0.12
Zak 1937   45  0.5069  0.0026  0.0636  0.1976  0.0434  0.09
Zak 1951   54  0.4878  0.0035  0.0537  0.1782  0.0338  0.07
Random 1   89  -0.1268  0.0088  0.0189  0.0135  0.2352  0.05
Random 2   90  -0.1561  0.0089  0.0188  0.0172  0.0389  0.02
Random 3   88  -0.0888  0.0090  0.0190  0.0165  0.0490  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).