Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   72  0.2723  0.0177  0.0284  0.0283  0.0284  0.02
Anderszewski 2003   4  0.493  0.055  0.154  0.5131  0.224  0.33
Ashkenazy 1981   9  0.485  0.047  0.116  0.4843  0.116  0.23
Bacha 2000   22  0.4354  0.0041  0.0736  0.2060  0.0431  0.09
Badura 1965   87  0.1378  0.0082  0.0375  0.0386  0.0285  0.02
Barbosa 1983   75  0.2426  0.0150  0.0550  0.0581  0.0269  0.03
Biret 1990   3  0.518  0.0216  0.0725  0.2958  0.0424  0.11
Blet 2003   30  0.399  0.0235  0.0640  0.1674  0.0341  0.07
Block 1995   8  0.484  0.053  0.173  0.5233  0.215  0.33
Blumental 1952   50  0.3522  0.0123  0.0732  0.2246  0.0623  0.11
Boshniakovich 1969   10  0.4715  0.0111  0.0714  0.3948  0.0612  0.15
Brailowsky 1960   6  0.4921  0.0124  0.0628  0.2560  0.0425  0.10
Bunin 1987   14  0.4669  0.0026  0.0619  0.3473  0.0330  0.10
Bunin 1987b   13  0.4663  0.0027  0.0720  0.3473  0.0327  0.10
Chiu 1999   57  0.3224  0.0143  0.0643  0.1254  0.0536  0.08
Cohen 1997   85  0.1533  0.0084  0.0377  0.0382  0.0288  0.02
Cortot 1951   42  0.3729  0.0025  0.0635  0.2146  0.0815  0.13
Csalog 1996   88  0.1255  0.0087  0.0189  0.0166  0.0382  0.02
Czerny 1949   76  0.2375  0.0075  0.0378  0.0380  0.0371  0.03
Czerny 1990   46  0.3682  0.0057  0.0454  0.0466  0.0457  0.04
Duchoud 2007   17  0.4543  0.0028  0.0618  0.3462  0.0417  0.12
Ezaki 2006   35  0.3846  0.0062  0.0458  0.0480  0.0360  0.03
Falvay 1989   71  0.2713  0.0159  0.0453  0.0478  0.0361  0.03
Farrell 1958   5  0.4976  0.0015  0.078  0.4647  0.068  0.17
Ferenczy 1958   29  0.4014  0.0145  0.0545  0.1146  0.0638  0.08
Fliere 1977   19  0.4449  0.0046  0.0547  0.0567  0.0450  0.04
Fou 1978   65  0.3084  0.0080  0.0283  0.0285  0.0280  0.02
Francois 1956   83  0.1679  0.0078  0.0380  0.0386  0.0289  0.02
Friedman 1923   80  0.2050  0.0072  0.0460  0.0471  0.0559  0.04
Friedman 1923b   78  0.2242  0.0070  0.0368  0.0357  0.0556  0.04
Friedman 1930   84  0.1664  0.0064  0.0379  0.0351  0.0554  0.04
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.531  0.361  0.361  0.681  0.621  0.65
Gierzod 1998   49  0.3683  0.0055  0.0461  0.0468  0.0372  0.03
Gornostaeva 1994   47  0.3686  0.0065  0.0376  0.0378  0.0374  0.03
Groot 1988   54  0.3327  0.0056  0.0456  0.0463  0.0458  0.04
Harasiewicz 1955   44  0.3720  0.0110  0.087  0.4775  0.0318  0.12
Hatto 1993   58  0.3266  0.0051  0.0462  0.0443  0.0948  0.06
Hatto 1997   60  0.3258  0.0058  0.0552  0.0577  0.0355  0.04
Horowitz 1949   61  0.3167  0.0039  0.0634  0.2167  0.0433  0.09
Indjic 1988   59  0.3251  0.0052  0.0370  0.0353  0.0468  0.03
Kapell 1951   34  0.3848  0.0036  0.0529  0.2562  0.0426  0.10
Kissin 1993   68  0.2880  0.0081  0.0373  0.0373  0.0367  0.03
Kushner 1989   21  0.4311  0.029  0.0933  0.2169  0.0337  0.08
Luisada 1991   2  0.5216  0.0112  0.0715  0.3845  0.117  0.20
Lushtak 2004   24  0.4285  0.0033  0.0630  0.2585  0.0242  0.07
Malcuzynski 1961   39  0.3781  0.0067  0.0465  0.0480  0.0364  0.03
Magaloff 1978   43  0.3719  0.0148  0.0549  0.0555  0.0451  0.04
Magin 1975   27  0.4091  0.0047  0.0846  0.0849  0.0544  0.06
Michalowski 1933   41  0.3734  0.006  0.122  0.5334  0.292  0.39
Milkina 1970   64  0.3044  0.0076  0.0467  0.0484  0.0363  0.03
Mohovich 1999   18  0.4437  0.0032  0.0537  0.1988  0.0247  0.06
Moravec 1969   79  0.2190  0.0053  0.0372  0.0390  0.0277  0.02
Morozova 2008   26  0.4147  0.0031  0.0622  0.3070  0.0334  0.09
Neighaus 1950   25  0.4277  0.0040  0.0731  0.2484  0.0243  0.07
Niedzielski 1931   53  0.342  0.152  0.2112  0.4014  0.353  0.37
Ohlsson 1999   33  0.3865  0.0061  0.0463  0.0482  0.0366  0.03
Osinska 1989   73  0.2660  0.0083  0.0281  0.0286  0.0278  0.02
Pachmann 1927   82  0.1756  0.0079  0.0282  0.0273  0.0381  0.02
Paderewski 1930   69  0.2852  0.0074  0.0455  0.0480  0.0265  0.03
Perlemuter 1992   12  0.466  0.034  0.165  0.5051  0.059  0.16
Pierdomenico 2008   48  0.3631  0.0063  0.0551  0.0577  0.0352  0.04
Poblocka 1999   23  0.4318  0.0134  0.0639  0.1777  0.0340  0.07
Rabcewiczowa 1932   67  0.2973  0.0073  0.0459  0.0468  0.0362  0.03
Rachmaninoff 1923   45  0.3738  0.0029  0.0624  0.2958  0.0419  0.11
Rangell 2001   36  0.3845  0.0066  0.0371  0.0378  0.0375  0.03
Richter 1976   37  0.3825  0.0130  0.0827  0.2660  0.0428  0.10
Rosen 1989   55  0.3332  0.0068  0.0369  0.0382  0.0286  0.02
Rosenthal 1930   62  0.3171  0.0069  0.0374  0.0371  0.0373  0.03
Rosenthal 1931   56  0.3387  0.0054  0.0464  0.0458  0.0453  0.04
Rosenthal 1931b   32  0.3959  0.0038  0.0538  0.1848  0.0535  0.09
Rosenthal 1931c   66  0.2972  0.0071  0.0466  0.0474  0.0376  0.03
Rosenthal 1931d   38  0.3839  0.0049  0.0548  0.0554  0.0549  0.05
Rossi 2007   77  0.2370  0.0018  0.0841  0.1337  0.1216  0.12
Rubinstein 1939   86  0.1436  0.0086  0.0286  0.0277  0.0379  0.02
Rubinstein 1952   81  0.1940  0.0088  0.0188  0.0185  0.0291  0.01
Rubinstein 1966   74  0.2517  0.0185  0.0285  0.0286  0.0283  0.02
Schilhawsky 1960   28  0.4010  0.028  0.109  0.4455  0.0511  0.15
Shebanova 2002   52  0.3412  0.0160  0.0457  0.0482  0.0370  0.03
Smith 1975   16  0.4588  0.0017  0.0711  0.4071  0.0320  0.11
Sokolov 2002   11  0.4768  0.0014  0.0713  0.4055  0.0413  0.13
Sztompka 1959   40  0.3741  0.0037  0.0626  0.2770  0.0429  0.10
Tomsic 1995   31  0.3935  0.0042  0.0642  0.1383  0.0345  0.06
Uninsky 1932   20  0.4330  0.0022  0.0816  0.3646  0.0710  0.16
Uninsky 1971   15  0.4528  0.0021  0.0617  0.3549  0.0514  0.13
Wasowski 1980   70  0.2862  0.0044  0.0544  0.1161  0.0439  0.07
Zak 1937   51  0.3474  0.0019  0.0621  0.3168  0.0421  0.11
Zak 1951   63  0.3161  0.0020  0.0623  0.2974  0.0332  0.09
Average   7  0.497  0.0213  0.0710  0.4384  0.0322  0.11
Random 1   89  0.0289  0.0089  0.0187  0.0119  0.3446  0.06
Random 2   91  -0.2057  0.0090  0.0190  0.0181  0.0290  0.01
Random 3   90  0.0153  0.0091  0.0191  0.0148  0.0587  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).