Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   75  0.2062  0.0077  0.0380  0.0377  0.0378  0.03
Anderszewski 2003   34  0.3478  0.0031  0.0632  0.3354  0.0626  0.14
Ashkenazy 1981   77  0.1882  0.0081  0.0379  0.0382  0.0379  0.03
Bacha 2000   69  0.2254  0.0074  0.0473  0.0471  0.0370  0.03
Badura 1965   64  0.2545  0.0039  0.0643  0.1489  0.0253  0.05
Barbosa 1983   58  0.2836  0.0044  0.0842  0.1668  0.0541  0.09
Biret 1990   39  0.3340  0.0042  0.0740  0.2077  0.0345  0.08
Blet 2003   48  0.3043  0.0062  0.0552  0.0563  0.0462  0.04
Block 1995   67  0.2412  0.0025  0.0844  0.1183  0.0347  0.06
Blumental 1952   57  0.2883  0.0063  0.0551  0.0576  0.0466  0.04
Boshniakovich 1969   16  0.402  0.0312  0.2218  0.4948  0.0716  0.19
Brailowsky 1960   87  0.1467  0.0088  0.0286  0.0283  0.0384  0.02
Bunin 1987   30  0.3537  0.0041  0.0838  0.2461  0.0440  0.10
Bunin 1987b   29  0.3633  0.0040  0.0735  0.2757  0.0533  0.12
Chiu 1999   55  0.2968  0.0047  0.0554  0.0555  0.0650  0.05
Cohen 1997   43  0.3127  0.0045  0.0645  0.1146  0.0644  0.08
Cortot 1951   73  0.2179  0.0068  0.0557  0.0546  0.0848  0.06
Csalog 1996   12  0.4316  0.009  0.166  0.6329  0.307  0.43
Czerny 1949   24  0.3822  0.0024  0.1225  0.4259  0.0622  0.16
Czerny 1990   52  0.2947  0.0060  0.0561  0.0574  0.0367  0.04
Duchoud 2007   46  0.3125  0.0048  0.0556  0.0532  0.4027  0.14
Ezaki 2006   33  0.3457  0.0033  0.0536  0.2561  0.0537  0.11
Falvay 1989   20  0.3834  0.0020  0.1024  0.4271  0.0430  0.13
Farrell 1958   19  0.399  0.0119  0.0914  0.5141  0.2210  0.33
Ferenczy 1958   61  0.2773  0.0070  0.0548  0.0571  0.0464  0.04
Fliere 1977   15  0.428  0.0113  0.1316  0.5058  0.0519  0.16
Fou 1978   36  0.3428  0.0046  0.0560  0.0586  0.0359  0.04
Francois 1956   56  0.2963  0.0059  0.0562  0.0567  0.0469  0.04
Friedman 1923   80  0.1769  0.0080  0.0476  0.0486  0.0383  0.03
Friedman 1923b   86  0.1558  0.0084  0.0284  0.0283  0.0390  0.02
Friedman 1930   53  0.297  0.0151  0.0463  0.0478  0.0376  0.03
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.691  0.821  0.811  0.881  0.861  0.87
Gierzod 1998   13  0.4331  0.0018  0.0822  0.4459  0.0523  0.15
Gornostaeva 1994   4  0.4623  0.0011  0.1711  0.5437  0.248  0.36
Groot 1988   60  0.2749  0.0055  0.0467  0.0486  0.0380  0.03
Harasiewicz 1955   31  0.3532  0.0030  0.0631  0.3470  0.0436  0.12
Hatto 1993   38  0.3348  0.0037  0.0734  0.2971  0.0438  0.11
Hatto 1997   35  0.3446  0.0027  0.0821  0.4568  0.0432  0.13
Horowitz 1949   84  0.1771  0.0083  0.0285  0.0279  0.0385  0.02
Indjic 1988   40  0.3280  0.0032  0.0629  0.3665  0.0434  0.12
Kapell 1951   6  0.4614  0.007  0.188  0.6332  0.385  0.49
Kissin 1993   65  0.2484  0.0065  0.0469  0.0478  0.0460  0.04
Kushner 1989   9  0.4435  0.0010  0.1910  0.5546  0.1013  0.23
Luisada 1991   72  0.2185  0.0078  0.0474  0.0476  0.0455  0.04
Lushtak 2004   44  0.3174  0.0056  0.0465  0.0460  0.0565  0.04
Malcuzynski 1961   7  0.463  0.025  0.174  0.6839  0.276  0.43
Magaloff 1978   70  0.2272  0.0071  0.0381  0.0376  0.0371  0.03
Magin 1975   14  0.4221  0.0017  0.0815  0.5147  0.0815  0.20
Michalowski 1933   88  0.1120  0.0079  0.0471  0.0474  0.0375  0.03
Milkina 1970   22  0.3855  0.0023  0.1417  0.4977  0.0425  0.14
Mohovich 1999   11  0.4313  0.004  0.127  0.6339  0.189  0.34
Moravec 1969   32  0.3559  0.0054  0.0550  0.0568  0.0454  0.04
Morozova 2008   28  0.3664  0.0026  0.0723  0.4443  0.1114  0.22
Neighaus 1950   83  0.1724  0.0082  0.0283  0.0279  0.0391  0.02
Niedzielski 1931   66  0.246  0.0152  0.0559  0.0569  0.0458  0.04
Ohlsson 1999   50  0.3075  0.0036  0.0637  0.2472  0.0439  0.10
Osinska 1989   18  0.3942  0.0015  0.0812  0.5252  0.0617  0.18
Pachmann 1927   54  0.2941  0.0061  0.0468  0.0444  0.1346  0.07
Paderewski 1930   45  0.314  0.0138  0.0639  0.2219  0.3712  0.29
Perlemuter 1992   25  0.3718  0.0035  0.0733  0.3029  0.3211  0.31
Pierdomenico 2008   5  0.465  0.012  0.215  0.642  0.733  0.68
Poblocka 1999   62  0.2686  0.0064  0.0553  0.0564  0.0649  0.05
Rabcewiczowa 1932   10  0.4438  0.0014  0.1413  0.5152  0.0520  0.16
Rachmaninoff 1923   79  0.1726  0.0075  0.0378  0.0381  0.0372  0.03
Rangell 2001   23  0.3839  0.0034  0.0727  0.3858  0.0624  0.15
Richter 1976   47  0.3160  0.0053  0.0466  0.0473  0.0374  0.03
Rosen 1989   21  0.3850  0.0016  0.0730  0.3560  0.0435  0.12
Rosenthal 1930   78  0.1887  0.0087  0.0287  0.0286  0.0288  0.02
Rosenthal 1931   85  0.1688  0.0086  0.0288  0.0288  0.0286  0.02
Rosenthal 1931b   81  0.1756  0.0085  0.0382  0.0381  0.0381  0.03
Rosenthal 1931c   76  0.1951  0.0076  0.0464  0.0481  0.0382  0.03
Rosenthal 1931d   68  0.2365  0.0073  0.0377  0.0354  0.0568  0.04
Rossi 2007   3  0.5011  0.003  0.222  0.741  0.712  0.72
Rubinstein 1939   37  0.3453  0.0028  0.1026  0.4162  0.0431  0.13
Rubinstein 1952   27  0.3629  0.0021  0.0920  0.4766  0.0428  0.14
Rubinstein 1966   17  0.3961  0.0022  0.1019  0.4858  0.0618  0.17
Schilhawsky 1960   49  0.3019  0.0058  0.0470  0.0464  0.0463  0.04
Shebanova 2002   51  0.2976  0.0049  0.0646  0.0667  0.0452  0.05
Smith 1975   74  0.2110  0.0169  0.0549  0.0577  0.0357  0.04
Sokolov 2002   71  0.2217  0.0066  0.0558  0.0574  0.0356  0.04
Sztompka 1959   42  0.3289  0.0043  0.0641  0.1766  0.0443  0.08
Tomsic 1995   8  0.4444  0.008  0.169  0.5814  0.524  0.55
Uninsky 1932   82  0.1790  0.0072  0.0475  0.0478  0.0377  0.03
Uninsky 1971   63  0.2615  0.0067  0.0555  0.0581  0.0361  0.04
Wasowski 1980   26  0.3781  0.0029  0.0728  0.3665  0.0529  0.13
Zak 1937   59  0.2766  0.0057  0.0472  0.0482  0.0373  0.03
Zak 1951   41  0.3270  0.0050  0.0647  0.0655  0.0551  0.05
Average   2  0.5052  0.006  0.213  0.6868  0.0421  0.16
Random 1   91  -0.1077  0.0091  0.0191  0.0149  0.0489  0.02
Random 2   90  -0.0391  0.0090  0.0190  0.0152  0.0487  0.02
Random 3   89  0.0430  0.0089  0.0289  0.0213  0.3742  0.09

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).