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  0.1952  0.0065  0.0464  0.0485  0.0274  0.03
Anderszewski 2003   27  0.3011  0.0116  0.1116  0.4474  0.0323  0.11
Ashkenazy 1981   10  0.3641  0.0018  0.1013  0.4882  0.0321  0.12
Bacha 2000   33  0.2943  0.0046  0.0555  0.0559  0.0449  0.04
Badura 1965   84  0.1055  0.0083  0.0372  0.0385  0.0286  0.02
Barbosa 1983   37  0.286  0.0317  0.1025  0.3350  0.0520  0.13
Biret 1990   44  0.2738  0.0057  0.0554  0.0588  0.0278  0.03
Blet 2003   46  0.2640  0.0043  0.0541  0.1378  0.0438  0.07
Block 1995   2  0.442  0.183  0.331  0.7822  0.333  0.51
Blumental 1952   51  0.2516  0.0124  0.0934  0.1958  0.0431  0.09
Boshniakovich 1969   1  0.443  0.142  0.362  0.7627  0.362  0.52
Brailowsky 1960   21  0.3331  0.0031  0.0731  0.2380  0.0333  0.08
Bunin 1987   35  0.2963  0.0051  0.0558  0.0570  0.0454  0.04
Bunin 1987b   34  0.2986  0.0052  0.0846  0.0871  0.0345  0.05
Chiu 1999   32  0.2923  0.0033  0.0533  0.2078  0.0334  0.08
Cohen 1997   80  0.1539  0.0081  0.0284  0.0277  0.0387  0.02
Cortot 1951   53  0.2580  0.0058  0.0553  0.0569  0.0456  0.04
Csalog 1996   83  0.1381  0.0085  0.0283  0.0278  0.0384  0.02
Czerny 1949   87  0.0783  0.0087  0.0376  0.0390  0.0285  0.02
Czerny 1990   30  0.2984  0.0038  0.0532  0.2185  0.0337  0.08
Duchoud 2007   23  0.3161  0.0034  0.0629  0.2783  0.0329  0.09
Ezaki 2006   77  0.1842  0.0059  0.0465  0.0485  0.0257  0.03
Falvay 1989   72  0.2025  0.0066  0.0462  0.0486  0.0362  0.03
Farrell 1958   55  0.2453  0.0061  0.0461  0.0480  0.0365  0.03
Ferenczy 1958   66  0.2148  0.0076  0.0375  0.0379  0.0372  0.03
Fliere 1977   4  0.4020  0.005  0.205  0.6470  0.049  0.16
Fou 1978   57  0.2474  0.0070  0.0368  0.0385  0.0366  0.03
Francois 1956   86  0.0987  0.0086  0.0282  0.0287  0.0290  0.02
Friedman 1923   39  0.2836  0.0027  0.0626  0.3130  0.246  0.27
Friedman 1923b   29  0.3045  0.0026  0.0622  0.3525  0.295  0.32
Friedman 1930   59  0.2465  0.0041  0.0540  0.1347  0.0628  0.09
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   3  0.431  0.371  0.363  0.742  0.731  0.73
Gierzod 1998   63  0.2149  0.0053  0.0649  0.0688  0.0275  0.03
Gornostaeva 1994   62  0.2275  0.0075  0.0380  0.0383  0.0377  0.03
Groot 1988   36  0.2915  0.0132  0.0637  0.1781  0.0244  0.06
Harasiewicz 1955   14  0.348  0.029  0.137  0.6471  0.0317  0.14
Hatto 1993   42  0.2859  0.0047  0.0652  0.0673  0.0355  0.04
Hatto 1997   76  0.1924  0.0072  0.0370  0.0387  0.0371  0.03
Horowitz 1949   43  0.2835  0.0045  0.0545  0.1081  0.0346  0.05
Indjic 1988   47  0.2666  0.0048  0.0648  0.0672  0.0353  0.04
Kapell 1951   26  0.3033  0.0036  0.0735  0.1972  0.0427  0.09
Kissin 1993   65  0.2188  0.0071  0.0373  0.0375  0.0470  0.03
Kushner 1989   22  0.3250  0.0019  0.1221  0.4076  0.0322  0.11
Luisada 1991   8  0.3760  0.0022  0.0817  0.4364  0.0513  0.15
Lushtak 2004   31  0.2989  0.0037  0.0638  0.1781  0.0339  0.07
Malcuzynski 1961   50  0.2656  0.0056  0.0556  0.0584  0.0351  0.04
Magaloff 1978   41  0.2817  0.0130  0.0830  0.2473  0.0335  0.08
Magin 1975   67  0.2176  0.0068  0.0367  0.0377  0.0364  0.03
Michalowski 1933   17  0.3357  0.0012  0.089  0.6360  0.0410  0.16
Milkina 1970   82  0.1418  0.0167  0.0378  0.0383  0.0367  0.03
Mohovich 1999   6  0.394  0.047  0.134  0.6761  0.0412  0.16
Moravec 1969   78  0.1791  0.0064  0.0459  0.0485  0.0258  0.03
Morozova 2008   40  0.2826  0.0025  0.1024  0.3378  0.0326  0.10
Neighaus 1950   13  0.3432  0.0023  0.1118  0.4387  0.0232  0.09
Niedzielski 1931   28  0.307  0.024  0.2614  0.4715  0.354  0.41
Ohlsson 1999   61  0.2337  0.0039  0.0542  0.1386  0.0341  0.06
Osinska 1989   56  0.2469  0.0074  0.0379  0.0382  0.0360  0.03
Pachmann 1927   71  0.2051  0.0063  0.0366  0.0380  0.0369  0.03
Paderewski 1930   52  0.2558  0.0054  0.0650  0.0659  0.0447  0.05
Perlemuter 1992   20  0.3312  0.0115  0.1011  0.5776  0.0318  0.13
Pierdomenico 2008   15  0.3429  0.0035  0.0636  0.1983  0.0336  0.08
Poblocka 1999   19  0.3321  0.0020  0.0919  0.4278  0.0419  0.13
Rabcewiczowa 1932   74  0.1970  0.0079  0.0381  0.0380  0.0282  0.02
Rachmaninoff 1923   45  0.2777  0.0040  0.0539  0.1479  0.0340  0.06
Rangell 2001   18  0.3319  0.0029  0.0727  0.3164  0.0424  0.11
Richter 1976   9  0.3714  0.018  0.1210  0.6246  0.077  0.21
Rosen 1989   16  0.3330  0.0028  0.0628  0.2973  0.0330  0.09
Rosenthal 1930   73  0.2071  0.0080  0.0377  0.0377  0.0376  0.03
Rosenthal 1931   79  0.1590  0.0077  0.0285  0.0286  0.0283  0.02
Rosenthal 1931b   60  0.2362  0.0062  0.0463  0.0468  0.0379  0.03
Rosenthal 1931c   70  0.2034  0.0073  0.0374  0.0374  0.0380  0.03
Rosenthal 1931d   69  0.2044  0.0078  0.0286  0.0276  0.0388  0.02
Rossi 2007   85  0.1072  0.0082  0.0371  0.0362  0.0361  0.03
Rubinstein 1939   88  0.0767  0.0088  0.0288  0.0273  0.0381  0.02
Rubinstein 1952   81  0.1478  0.0084  0.0287  0.0281  0.0389  0.02
Rubinstein 1966   38  0.2810  0.0144  0.0643  0.1178  0.0342  0.06
Schilhawsky 1960   58  0.2428  0.0042  0.0644  0.1181  0.0343  0.06
Shebanova 2002   12  0.359  0.0221  0.0815  0.4557  0.0611  0.16
Smith 1975   64  0.2168  0.0069  0.0460  0.0483  0.0363  0.03
Sokolov 2002   54  0.2546  0.0050  0.0557  0.0581  0.0350  0.04
Sztompka 1959   25  0.3113  0.0111  0.0812  0.5063  0.0415  0.14
Tomsic 1995   48  0.2685  0.0049  0.0651  0.0686  0.0268  0.03
Uninsky 1932   7  0.3822  0.0013  0.106  0.6458  0.058  0.18
Uninsky 1971   49  0.2673  0.0055  0.0647  0.0681  0.0352  0.04
Wasowski 1980   68  0.2147  0.0060  0.0369  0.0374  0.0459  0.03
Zak 1937   11  0.3527  0.0010  0.1520  0.4150  0.0514  0.14
Zak 1951   24  0.3154  0.0014  0.1023  0.3483  0.0325  0.10
Average   5  0.405  0.036  0.168  0.6385  0.0316  0.14
Random 1   89  -0.0582  0.0089  0.0289  0.0236  0.1348  0.05
Random 2   90  -0.0764  0.0090  0.0290  0.0261  0.0473  0.03
Random 3   91  -0.1279  0.0091  0.0191  0.0186  0.0291  0.01

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).