Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   74  0.2061  0.0076  0.0379  0.0376  0.0377  0.03
Anderszewski 2003   33  0.3477  0.0030  0.0631  0.3353  0.0625  0.14
Ashkenazy 1981   76  0.1881  0.0080  0.0378  0.0381  0.0378  0.03
Bacha 2000   68  0.2254  0.0073  0.0472  0.0470  0.0369  0.03
Badura 1965   63  0.2545  0.0038  0.0642  0.1488  0.0253  0.05
Barbosa 1983   57  0.2837  0.0043  0.0841  0.1667  0.0540  0.09
Biret 1990   38  0.3340  0.0041  0.0739  0.2076  0.0344  0.08
Blet 2003   47  0.3043  0.0061  0.0551  0.0562  0.0462  0.04
Block 1995   66  0.2412  0.0024  0.0843  0.1182  0.0346  0.06
Blumental 1952   56  0.2882  0.0062  0.0550  0.0575  0.0465  0.04
Boshniakovich 1969   15  0.402  0.0311  0.2217  0.4947  0.0716  0.19
Brailowsky 1960   86  0.1466  0.0087  0.0285  0.0282  0.0383  0.02
Bunin 1987   29  0.3538  0.0040  0.0837  0.2460  0.0439  0.10
Bunin 1987b   28  0.3633  0.0039  0.0734  0.2756  0.0532  0.12
Chiu 1999   54  0.2967  0.0046  0.0553  0.0554  0.0649  0.05
Cohen 1997   42  0.3127  0.0044  0.0644  0.1145  0.0643  0.08
Cortot 1951   72  0.2178  0.0067  0.0556  0.0545  0.0847  0.06
Csalog 1996   11  0.4316  0.008  0.165  0.6328  0.307  0.43
Czerny 1949   23  0.3822  0.0023  0.1224  0.4258  0.0621  0.16
Czerny 1990   51  0.2947  0.0059  0.0560  0.0573  0.0366  0.04
Duchoud 2007   45  0.3125  0.0047  0.0555  0.0531  0.4026  0.14
Ezaki 2006   32  0.3457  0.0032  0.0635  0.2560  0.0536  0.11
Falvay 1989   19  0.3834  0.0019  0.1023  0.4270  0.0429  0.13
Farrell 1958   18  0.399  0.0118  0.0913  0.5140  0.2210  0.33
Ferenczy 1958   60  0.2772  0.0069  0.0647  0.0670  0.0451  0.05
Fliere 1977   14  0.428  0.0112  0.1415  0.5057  0.0519  0.16
Fou 1978   35  0.3428  0.0045  0.0559  0.0585  0.0359  0.04
Francois 1956   55  0.2962  0.0058  0.0561  0.0566  0.0468  0.04
Friedman 1923   79  0.1768  0.0079  0.0475  0.0485  0.0382  0.03
Friedman 1923b   85  0.1558  0.0083  0.0283  0.0282  0.0389  0.02
Friedman 1930   52  0.297  0.0150  0.0462  0.0477  0.0375  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   12  0.4331  0.0017  0.0821  0.4458  0.0522  0.15
Gornostaeva 1994   3  0.4623  0.0010  0.1710  0.5436  0.248  0.36
Groot 1988   59  0.2750  0.0054  0.0466  0.0485  0.0379  0.03
Harasiewicz 1955   30  0.3532  0.0029  0.0730  0.3469  0.0435  0.12
Hatto 1993   37  0.3348  0.0036  0.0733  0.2970  0.0437  0.11
Hatto 1997   34  0.3446  0.0026  0.0920  0.4567  0.0431  0.13
Horowitz 1949   83  0.1770  0.0082  0.0284  0.0278  0.0384  0.02
Indjic 1988   39  0.3279  0.0031  0.0628  0.3664  0.0433  0.12
Kapell 1951   5  0.4614  0.006  0.197  0.6331  0.385  0.49
Kissin 1993   64  0.2483  0.0064  0.0468  0.0477  0.0460  0.04
Kushner 1989   8  0.4435  0.009  0.199  0.5545  0.1013  0.23
Luisada 1991   71  0.2184  0.0077  0.0473  0.0475  0.0455  0.04
Lushtak 2004   43  0.3173  0.0055  0.0464  0.0459  0.0564  0.04
Malcuzynski 1961   6  0.463  0.024  0.173  0.6838  0.276  0.43
Magaloff 1978   69  0.2271  0.0070  0.0380  0.0375  0.0370  0.03
Magin 1975   13  0.4221  0.0016  0.0814  0.5146  0.0815  0.20
Michalowski 1933   87  0.1120  0.0078  0.0470  0.0473  0.0374  0.03
Milkina 1970   21  0.3855  0.0022  0.1516  0.4976  0.0424  0.14
Mohovich 1999   10  0.4313  0.005  0.196  0.6338  0.189  0.34
Moravec 1969   31  0.3559  0.0053  0.0549  0.0567  0.0454  0.04
Morozova 2008   27  0.3663  0.0025  0.0822  0.4442  0.1114  0.22
Neighaus 1950   82  0.1724  0.0081  0.0282  0.0278  0.0390  0.02
Niedzielski 1931   65  0.246  0.0151  0.0558  0.0568  0.0458  0.04
Ohlsson 1999   49  0.3074  0.0035  0.0636  0.2471  0.0438  0.10
Osinska 1989   17  0.3942  0.0014  0.0811  0.5251  0.0617  0.18
Pachmann 1927   53  0.2941  0.0060  0.0467  0.0443  0.1345  0.07
Paderewski 1930   44  0.314  0.0137  0.0638  0.2218  0.3712  0.29
Perlemuter 1992   24  0.3719  0.0034  0.0732  0.3028  0.3211  0.31
Pierdomenico 2008   4  0.465  0.012  0.214  0.641  0.733  0.68
Poblocka 1999   61  0.2685  0.0063  0.0552  0.0563  0.0648  0.05
Rabcewiczowa 1932   9  0.4436  0.0013  0.1412  0.5151  0.0520  0.16
Rachmaninoff 1923   78  0.1726  0.0074  0.0377  0.0380  0.0371  0.03
Rangell 2001   22  0.3839  0.0033  0.0726  0.3857  0.0623  0.15
Richter 1976   46  0.3160  0.0052  0.0465  0.0472  0.0373  0.03
Rosen 1989   20  0.3851  0.0015  0.0729  0.3559  0.0434  0.12
Rosenthal 1930   77  0.1886  0.0086  0.0286  0.0285  0.0287  0.02
Rosenthal 1931   84  0.1687  0.0085  0.0287  0.0287  0.0285  0.02
Rosenthal 1931b   80  0.1756  0.0084  0.0381  0.0380  0.0380  0.03
Rosenthal 1931c   75  0.1952  0.0075  0.0463  0.0480  0.0381  0.03
Rosenthal 1931d   67  0.2364  0.0072  0.0476  0.0453  0.0567  0.04
Rossi 2007   2  0.5011  0.003  0.232  0.741  0.712  0.72
Rubinstein 1939   36  0.3453  0.0027  0.1025  0.4161  0.0430  0.13
Rubinstein 1952   26  0.3629  0.0020  0.0919  0.4765  0.0427  0.14
Rubinstein 1966   16  0.3949  0.0021  0.1118  0.4857  0.0618  0.17
Schilhawsky 1960   48  0.3018  0.0057  0.0469  0.0463  0.0463  0.04
Shebanova 2002   50  0.2975  0.0048  0.0645  0.0666  0.0452  0.05
Smith 1975   73  0.2110  0.0168  0.0648  0.0676  0.0357  0.04
Sokolov 2002   70  0.2217  0.0065  0.0557  0.0573  0.0356  0.04
Sztompka 1959   41  0.3288  0.0042  0.0640  0.1765  0.0441  0.08
Tomsic 1995   7  0.4444  0.007  0.168  0.5813  0.524  0.55
Uninsky 1932   81  0.1789  0.0071  0.0474  0.0477  0.0376  0.03
Uninsky 1971   62  0.2615  0.0066  0.0554  0.0580  0.0361  0.04
Wasowski 1980   25  0.3780  0.0028  0.0827  0.3664  0.0528  0.13
Zak 1937   58  0.2765  0.0056  0.0471  0.0481  0.0372  0.03
Zak 1951   40  0.3269  0.0049  0.0646  0.0654  0.0550  0.05
Random 1   90  -0.1076  0.0090  0.0190  0.0149  0.0488  0.02
Random 2   89  -0.0390  0.0089  0.0189  0.0154  0.0486  0.02
Random 3   88  0.0430  0.0088  0.0288  0.0213  0.3542  0.08

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).