Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.5568  0.0030  0.0926  0.4146  0.0719  0.17
Anderszewski 2003   29  0.5215  0.0032  0.0730  0.3668  0.0435  0.12
Ashkenazy 1981   51  0.4754  0.0055  0.0467  0.0466  0.0468  0.04
Bacha 2000   69  0.4229  0.0072  0.0558  0.0569  0.0458  0.04
Badura 1965   73  0.4155  0.0069  0.0385  0.0367  0.0567  0.04
Barbosa 1983   82  0.3676  0.0064  0.0478  0.0468  0.0463  0.04
Biret 1990   15  0.5439  0.0018  0.1212  0.5153  0.0525  0.16
Blet 2003   46  0.4860  0.0050  0.0464  0.0445  0.0848  0.06
Block 1995   70  0.4146  0.0042  0.0841  0.1963  0.0442  0.09
Blumental 1952   26  0.5252  0.0035  0.1035  0.2782  0.0343  0.09
Boshniakovich 1969   20  0.544  0.0110  0.1125  0.4158  0.0529  0.14
Brailowsky 1960   86  0.3257  0.0087  0.0480  0.0481  0.0375  0.03
Bunin 1987   78  0.3870  0.0074  0.0474  0.0475  0.0384  0.03
Bunin 1987b   79  0.3858  0.0073  0.0473  0.0476  0.0380  0.03
Chiu 1999   53  0.4661  0.0057  0.0465  0.0479  0.0376  0.03
Cohen 1997   76  0.3935  0.0070  0.0469  0.0451  0.0569  0.04
Cortot 1951   43  0.4985  0.0038  0.0642  0.1425  0.4112  0.24
Csalog 1996   63  0.4317  0.0047  0.0745  0.0746  0.0647  0.06
Czerny 1949   19  0.5412  0.0031  0.1023  0.4157  0.0528  0.14
Czerny 1990   41  0.4980  0.0052  0.0552  0.0577  0.0471  0.04
Duchoud 2007   49  0.4836  0.0044  0.0644  0.1320  0.3215  0.20
Ezaki 2006   44  0.4982  0.0054  0.0462  0.0479  0.0372  0.03
Falvay 1989   64  0.4324  0.0065  0.0471  0.0469  0.0561  0.04
Farrell 1958   9  0.575  0.015  0.145  0.5917  0.465  0.52
Ferenczy 1958   66  0.4271  0.0067  0.0384  0.0374  0.0383  0.03
Fliere 1977   3  0.6118  0.004  0.232  0.6155  0.0517  0.17
Fou 1978   10  0.5713  0.0017  0.1315  0.5060  0.0522  0.16
Francois 1956   56  0.4662  0.0051  0.0554  0.0551  0.0557  0.05
Friedman 1923   68  0.4247  0.0079  0.0461  0.0480  0.0388  0.03
Friedman 1923b   71  0.4144  0.0080  0.0559  0.0576  0.0470  0.04
Friedman 1930   57  0.4619  0.0076  0.0470  0.0473  0.0464  0.04
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.811  0.881  0.871  0.931  0.881  0.90
Gierzod 1998   4  0.5825  0.0014  0.089  0.5357  0.0523  0.16
Gornostaeva 1994   21  0.5328  0.0025  0.0631  0.3183  0.0340  0.10
Groot 1988   65  0.4234  0.0041  0.0640  0.1954  0.0541  0.10
Harasiewicz 1955   18  0.5421  0.0011  0.0827  0.4082  0.0339  0.11
Hatto 1993   30  0.5272  0.0023  0.0728  0.3967  0.0437  0.12
Hatto 1997   23  0.5383  0.0013  0.0821  0.4548  0.0716  0.18
Horowitz 1949   62  0.4349  0.0077  0.0550  0.0559  0.0650  0.05
Indjic 1988   27  0.5277  0.0021  0.1122  0.4155  0.0527  0.14
Kapell 1951   8  0.5711  0.003  0.203  0.6030  0.247  0.38
Kissin 1993   33  0.5186  0.0045  0.0746  0.0772  0.0453  0.05
Kushner 1989   12  0.5640  0.009  0.118  0.5345  0.1013  0.23
Luisada 1991   54  0.4684  0.0063  0.0468  0.0478  0.0374  0.03
Lushtak 2004   38  0.5059  0.0046  0.0647  0.0659  0.0554  0.05
Malcuzynski 1961   32  0.5116  0.0026  0.0819  0.4537  0.1311  0.24
Magaloff 1978   74  0.4163  0.0078  0.0555  0.0578  0.0360  0.04
Magin 1975   5  0.5826  0.0015  0.107  0.5575  0.0330  0.13
Michalowski 1933   77  0.3920  0.0071  0.0556  0.0555  0.0552  0.05
Milkina 1970   31  0.5130  0.0040  0.1034  0.2768  0.0534  0.12
Mohovich 1999   34  0.5156  0.0022  0.0629  0.3748  0.0820  0.17
Moravec 1969   58  0.4569  0.0075  0.0479  0.0470  0.0373  0.03
Morozova 2008   24  0.5353  0.0034  0.0732  0.3052  0.0536  0.12
Neighaus 1950   50  0.4878  0.0061  0.0648  0.0646  0.0649  0.06
Niedzielski 1931   42  0.493  0.0137  0.0738  0.2245  0.0733  0.12
Ohlsson 1999   22  0.5379  0.0012  0.1010  0.5265  0.0426  0.14
Osinska 1989   6  0.5823  0.006  0.146  0.5842  0.1410  0.28
Pachmann 1927   80  0.3833  0.0081  0.0475  0.0467  0.0381  0.03
Paderewski 1930   36  0.507  0.0033  0.0736  0.279  0.538  0.38
Perlemuter 1992   11  0.5742  0.008  0.1311  0.5211  0.523  0.52
Pierdomenico 2008   35  0.512  0.017  0.1314  0.504  0.592  0.54
Poblocka 1999   40  0.4973  0.0039  0.0839  0.2179  0.0344  0.08
Rabcewiczowa 1932   13  0.5648  0.0020  0.0913  0.5152  0.0521  0.16
Rachmaninoff 1923   37  0.506  0.0127  0.0833  0.3073  0.0438  0.11
Rangell 2001   72  0.4143  0.0062  0.0463  0.0445  0.0755  0.05
Richter 1976   60  0.4437  0.0066  0.0472  0.0452  0.0651  0.05
Rosen 1989   17  0.5445  0.0028  0.0624  0.4150  0.0624  0.16
Rosenthal 1930   81  0.3687  0.0082  0.0476  0.0455  0.0466  0.04
Rosenthal 1931   87  0.3181  0.0086  0.0387  0.0378  0.0382  0.03
Rosenthal 1931b   85  0.3331  0.0085  0.0382  0.0376  0.0386  0.03
Rosenthal 1931c   84  0.3364  0.0084  0.0381  0.0376  0.0387  0.03
Rosenthal 1931d   83  0.3474  0.0083  0.0386  0.0362  0.0485  0.03
Rossi 2007   16  0.549  0.0024  0.0717  0.494  0.564  0.52
Rubinstein 1939   55  0.4650  0.0056  0.0477  0.0480  0.0378  0.03
Rubinstein 1952   75  0.4027  0.0060  0.0549  0.0561  0.0556  0.05
Rubinstein 1966   45  0.4875  0.0043  0.0743  0.1368  0.0545  0.08
Schilhawsky 1960   28  0.528  0.0029  0.0720  0.4544  0.1014  0.21
Shebanova 2002   25  0.5251  0.0019  0.1118  0.4848  0.0618  0.17
Smith 1975   67  0.4210  0.0068  0.0383  0.0376  0.0477  0.03
Sokolov 2002   61  0.4314  0.0059  0.0551  0.0577  0.0359  0.04
Sztompka 1959   2  0.6122  0.002  0.184  0.6034  0.366  0.46
Tomsic 1995   59  0.4441  0.0049  0.0560  0.0528  0.3631  0.13
Uninsky 1932   47  0.4888  0.0048  0.0553  0.0576  0.0465  0.04
Uninsky 1971   39  0.4938  0.0036  0.0737  0.2549  0.0732  0.13
Wasowski 1980   7  0.5789  0.0016  0.1216  0.4939  0.209  0.31
Zak 1937   52  0.4767  0.0058  0.0466  0.0483  0.0379  0.03
Zak 1951   48  0.4865  0.0053  0.0557  0.0583  0.0462  0.04
Random 1   90  -0.1566  0.0089  0.0189  0.0169  0.0390  0.02
Random 2   89  -0.0890  0.0090  0.0190  0.0153  0.0489  0.02
Random 3   88  -0.0232  0.0088  0.0288  0.0228  0.2346  0.07

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).