Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   71  0.2722  0.0176  0.0283  0.0282  0.0284  0.02
Anderszewski 2003   4  0.493  0.055  0.154  0.5130  0.224  0.33
Ashkenazy 1981   8  0.485  0.057  0.126  0.4842  0.116  0.23
Bacha 2000   21  0.4354  0.0040  0.0735  0.2059  0.0430  0.09
Badura 1965   86  0.1377  0.0081  0.0374  0.0385  0.0285  0.02
Barbosa 1983   74  0.2425  0.0149  0.0549  0.0580  0.0268  0.03
Biret 1990   3  0.518  0.0215  0.0724  0.2957  0.0423  0.11
Blet 2003   29  0.399  0.0234  0.0639  0.1673  0.0340  0.07
Block 1995   7  0.484  0.053  0.173  0.5232  0.215  0.33
Blumental 1952   49  0.3521  0.0122  0.0731  0.2245  0.0622  0.11
Boshniakovich 1969   9  0.4716  0.0111  0.0713  0.3947  0.0612  0.15
Brailowsky 1960   6  0.4920  0.0123  0.0627  0.2559  0.0424  0.10
Bunin 1987   13  0.4655  0.0025  0.0618  0.3472  0.0329  0.10
Bunin 1987b   12  0.4663  0.0026  0.0719  0.3472  0.0326  0.10
Chiu 1999   56  0.3223  0.0142  0.0642  0.1253  0.0535  0.08
Cohen 1997   84  0.1534  0.0083  0.0376  0.0381  0.0287  0.02
Cortot 1951   41  0.3729  0.0024  0.0634  0.2145  0.0815  0.13
Csalog 1996   87  0.1253  0.0086  0.0188  0.0165  0.0382  0.02
Czerny 1949   75  0.2374  0.0074  0.0377  0.0379  0.0370  0.03
Czerny 1990   45  0.3681  0.0056  0.0453  0.0465  0.0456  0.04
Duchoud 2007   16  0.4544  0.0027  0.0617  0.3461  0.0417  0.12
Ezaki 2006   34  0.3845  0.0061  0.0457  0.0479  0.0359  0.03
Falvay 1989   70  0.2713  0.0158  0.0452  0.0477  0.0360  0.03
Farrell 1958   5  0.4975  0.0014  0.078  0.4646  0.068  0.17
Ferenczy 1958   28  0.4014  0.0144  0.0544  0.1145  0.0637  0.08
Fliere 1977   18  0.4448  0.0045  0.0546  0.0566  0.0449  0.04
Fou 1978   64  0.3083  0.0079  0.0282  0.0284  0.0280  0.02
Francois 1956   82  0.1678  0.0077  0.0379  0.0385  0.0288  0.02
Friedman 1923   79  0.2049  0.0071  0.0459  0.0470  0.0558  0.04
Friedman 1923b   77  0.2241  0.0069  0.0367  0.0356  0.0555  0.04
Friedman 1930   83  0.1664  0.0063  0.0378  0.0350  0.0553  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   48  0.3682  0.0054  0.0460  0.0467  0.0371  0.03
Gornostaeva 1994   46  0.3685  0.0064  0.0375  0.0377  0.0374  0.03
Groot 1988   53  0.3327  0.0055  0.0455  0.0462  0.0457  0.04
Harasiewicz 1955   43  0.3719  0.0110  0.087  0.4774  0.0318  0.12
Hatto 1993   57  0.3266  0.0050  0.0461  0.0442  0.0947  0.06
Hatto 1997   59  0.3258  0.0057  0.0551  0.0576  0.0354  0.04
Horowitz 1949   60  0.3167  0.0038  0.0633  0.2166  0.0432  0.09
Indjic 1988   58  0.3250  0.0051  0.0369  0.0352  0.0467  0.03
Kapell 1951   33  0.3847  0.0035  0.0528  0.2561  0.0425  0.10
Kissin 1993   67  0.2879  0.0080  0.0372  0.0372  0.0366  0.03
Kushner 1989   20  0.4310  0.029  0.1032  0.2168  0.0336  0.08
Luisada 1991   2  0.5215  0.0112  0.0814  0.3844  0.117  0.20
Lushtak 2004   23  0.4284  0.0032  0.0629  0.2584  0.0241  0.07
Malcuzynski 1961   38  0.3780  0.0066  0.0464  0.0479  0.0363  0.03
Magaloff 1978   42  0.3718  0.0147  0.0548  0.0554  0.0450  0.04
Magin 1975   26  0.4090  0.0046  0.0845  0.0848  0.0543  0.06
Michalowski 1933   40  0.3736  0.006  0.122  0.5333  0.292  0.39
Milkina 1970   63  0.3042  0.0075  0.0466  0.0483  0.0362  0.03
Mohovich 1999   17  0.4433  0.0031  0.0536  0.1987  0.0246  0.06
Moravec 1969   78  0.2189  0.0052  0.0371  0.0389  0.0277  0.02
Morozova 2008   25  0.4146  0.0030  0.0621  0.3069  0.0333  0.09
Neighaus 1950   24  0.4276  0.0039  0.0730  0.2483  0.0242  0.07
Niedzielski 1931   52  0.342  0.152  0.2111  0.4013  0.353  0.37
Ohlsson 1999   32  0.3865  0.0060  0.0462  0.0481  0.0365  0.03
Osinska 1989   72  0.2660  0.0082  0.0280  0.0285  0.0278  0.02
Pachmann 1927   81  0.1756  0.0078  0.0281  0.0272  0.0381  0.02
Paderewski 1930   68  0.2851  0.0073  0.0454  0.0479  0.0264  0.03
Perlemuter 1992   11  0.466  0.034  0.165  0.5050  0.059  0.16
Pierdomenico 2008   47  0.3631  0.0062  0.0550  0.0576  0.0351  0.04
Poblocka 1999   22  0.4311  0.0233  0.0638  0.1776  0.0339  0.07
Rabcewiczowa 1932   66  0.2972  0.0072  0.0458  0.0467  0.0361  0.03
Rachmaninoff 1923   44  0.3726  0.0028  0.0623  0.2957  0.0419  0.11
Rangell 2001   35  0.3843  0.0065  0.0370  0.0377  0.0375  0.03
Richter 1976   36  0.3824  0.0129  0.0826  0.2659  0.0427  0.10
Rosen 1989   54  0.3332  0.0067  0.0368  0.0381  0.0373  0.03
Rosenthal 1930   61  0.3170  0.0068  0.0373  0.0370  0.0372  0.03
Rosenthal 1931   55  0.3386  0.0053  0.0463  0.0457  0.0452  0.04
Rosenthal 1931b   31  0.3959  0.0037  0.0537  0.1847  0.0534  0.09
Rosenthal 1931c   65  0.2971  0.0070  0.0465  0.0473  0.0376  0.03
Rosenthal 1931d   37  0.3838  0.0048  0.0547  0.0553  0.0548  0.05
Rossi 2007   76  0.2369  0.0017  0.0840  0.1336  0.1216  0.12
Rubinstein 1939   85  0.1437  0.0085  0.0285  0.0276  0.0379  0.02
Rubinstein 1952   80  0.1939  0.0087  0.0187  0.0184  0.0290  0.01
Rubinstein 1966   73  0.2517  0.0184  0.0284  0.0285  0.0283  0.02
Schilhawsky 1960   27  0.407  0.028  0.119  0.4454  0.0511  0.15
Shebanova 2002   51  0.3412  0.0159  0.0456  0.0481  0.0369  0.03
Smith 1975   15  0.4587  0.0016  0.0810  0.4070  0.0320  0.11
Sokolov 2002   10  0.4768  0.0013  0.0712  0.4054  0.0413  0.13
Sztompka 1959   39  0.3740  0.0036  0.0625  0.2769  0.0428  0.10
Tomsic 1995   30  0.3935  0.0041  0.0641  0.1382  0.0344  0.06
Uninsky 1932   19  0.4330  0.0021  0.0815  0.3645  0.0710  0.16
Uninsky 1971   14  0.4528  0.0020  0.0616  0.3548  0.0514  0.13
Wasowski 1980   69  0.2862  0.0043  0.0543  0.1160  0.0438  0.07
Zak 1937   50  0.3473  0.0018  0.0620  0.3167  0.0421  0.11
Zak 1951   62  0.3161  0.0019  0.0622  0.2973  0.0331  0.09
Random 1   88  0.0288  0.0088  0.0186  0.0119  0.3245  0.06
Random 2   90  -0.2057  0.0089  0.0189  0.0180  0.0289  0.01
Random 3   89  0.0152  0.0090  0.0190  0.0149  0.0586  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).