Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   15  0.5569  0.0031  0.0927  0.4147  0.0720  0.17
Anderszewski 2003   30  0.5214  0.0033  0.0731  0.3669  0.0436  0.12
Ashkenazy 1981   52  0.4753  0.0056  0.0468  0.0467  0.0468  0.04
Bacha 2000   70  0.4229  0.0073  0.0559  0.0570  0.0459  0.04
Badura 1965   74  0.4154  0.0070  0.0386  0.0368  0.0484  0.03
Barbosa 1983   83  0.3677  0.0065  0.0479  0.0469  0.0464  0.04
Biret 1990   16  0.5440  0.0019  0.1213  0.5154  0.0526  0.16
Blet 2003   47  0.4861  0.0051  0.0465  0.0446  0.0849  0.06
Block 1995   71  0.4147  0.0043  0.0842  0.1964  0.0443  0.09
Blumental 1952   27  0.5255  0.0036  0.0936  0.2783  0.0344  0.09
Boshniakovich 1969   21  0.544  0.0111  0.1126  0.4159  0.0530  0.14
Brailowsky 1960   87  0.3257  0.0088  0.0381  0.0382  0.0375  0.03
Bunin 1987   79  0.3871  0.0075  0.0475  0.0476  0.0385  0.03
Bunin 1987b   80  0.3858  0.0074  0.0474  0.0477  0.0380  0.03
Chiu 1999   54  0.4663  0.0058  0.0466  0.0480  0.0376  0.03
Cohen 1997   77  0.3936  0.0071  0.0470  0.0452  0.0569  0.04
Cortot 1951   44  0.4985  0.0039  0.0643  0.1426  0.4112  0.24
Csalog 1996   64  0.4317  0.0048  0.0746  0.0747  0.0648  0.06
Czerny 1949   20  0.5418  0.0032  0.1024  0.4158  0.0529  0.14
Czerny 1990   42  0.4980  0.0053  0.0553  0.0578  0.0471  0.04
Duchoud 2007   50  0.4837  0.0045  0.0645  0.1321  0.3215  0.20
Ezaki 2006   45  0.4983  0.0055  0.0463  0.0480  0.0372  0.03
Falvay 1989   65  0.4327  0.0066  0.0472  0.0470  0.0562  0.04
Farrell 1958   10  0.575  0.016  0.136  0.5918  0.465  0.52
Ferenczy 1958   67  0.4272  0.0068  0.0385  0.0375  0.0383  0.03
Fliere 1977   4  0.6119  0.005  0.233  0.6156  0.0518  0.17
Fou 1978   11  0.5712  0.0018  0.1316  0.5061  0.0523  0.16
Francois 1956   57  0.4662  0.0052  0.0555  0.0552  0.0558  0.05
Friedman 1923   69  0.4248  0.0080  0.0462  0.0481  0.0389  0.03
Friedman 1923b   72  0.4145  0.0081  0.0560  0.0577  0.0470  0.04
Friedman 1930   58  0.4621  0.0077  0.0471  0.0474  0.0465  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   5  0.5825  0.0015  0.0810  0.5358  0.0524  0.16
Gornostaeva 1994   22  0.5328  0.0026  0.0632  0.3184  0.0341  0.10
Groot 1988   66  0.4235  0.0042  0.0641  0.1955  0.0542  0.10
Harasiewicz 1955   19  0.5422  0.0012  0.0828  0.4083  0.0340  0.11
Hatto 1993   31  0.5273  0.0024  0.0729  0.3968  0.0438  0.12
Hatto 1997   24  0.5384  0.0014  0.0822  0.4549  0.0717  0.18
Horowitz 1949   63  0.4350  0.0078  0.0551  0.0560  0.0651  0.05
Indjic 1988   28  0.5278  0.0022  0.1123  0.4156  0.0528  0.14
Kapell 1951   9  0.5711  0.004  0.204  0.6031  0.247  0.38
Kissin 1993   34  0.5186  0.0046  0.0747  0.0773  0.0454  0.05
Kushner 1989   13  0.5641  0.0010  0.119  0.5346  0.1013  0.23
Luisada 1991   55  0.4687  0.0064  0.0469  0.0479  0.0374  0.03
Lushtak 2004   39  0.5059  0.0047  0.0648  0.0660  0.0555  0.05
Malcuzynski 1961   33  0.5116  0.0027  0.0720  0.4538  0.1311  0.24
Magaloff 1978   75  0.4167  0.0079  0.0556  0.0579  0.0361  0.04
Magin 1975   6  0.5826  0.0016  0.108  0.5576  0.0331  0.13
Michalowski 1933   78  0.3920  0.0072  0.0557  0.0556  0.0553  0.05
Milkina 1970   32  0.5130  0.0041  0.1035  0.2769  0.0534  0.12
Mohovich 1999   35  0.5156  0.0023  0.0630  0.3749  0.0821  0.17
Moravec 1969   59  0.4570  0.0076  0.0480  0.0471  0.0373  0.03
Morozova 2008   25  0.5360  0.0035  0.0733  0.3053  0.0537  0.12
Neighaus 1950   51  0.4881  0.0062  0.0649  0.0647  0.0650  0.06
Niedzielski 1931   43  0.493  0.0138  0.0739  0.2246  0.0733  0.12
Ohlsson 1999   23  0.5379  0.0013  0.0911  0.5266  0.0427  0.14
Osinska 1989   7  0.5824  0.007  0.147  0.5843  0.1410  0.28
Pachmann 1927   81  0.3834  0.0082  0.0476  0.0468  0.0381  0.03
Paderewski 1930   37  0.507  0.0034  0.0737  0.2710  0.538  0.38
Perlemuter 1992   12  0.5743  0.009  0.1312  0.5212  0.523  0.52
Pierdomenico 2008   36  0.512  0.018  0.1315  0.505  0.592  0.54
Poblocka 1999   41  0.4974  0.0040  0.0840  0.2180  0.0345  0.08
Rabcewiczowa 1932   14  0.5649  0.0021  0.0914  0.5153  0.0522  0.16
Rachmaninoff 1923   38  0.506  0.0128  0.0734  0.3074  0.0439  0.11
Rangell 2001   73  0.4144  0.0063  0.0464  0.0446  0.0756  0.05
Richter 1976   61  0.4438  0.0067  0.0473  0.0453  0.0652  0.05
Rosen 1989   18  0.5446  0.0029  0.0625  0.4151  0.0625  0.16
Rosenthal 1930   82  0.3688  0.0083  0.0477  0.0456  0.0467  0.04
Rosenthal 1931   88  0.3182  0.0087  0.0388  0.0379  0.0382  0.03
Rosenthal 1931b   86  0.3331  0.0086  0.0383  0.0377  0.0387  0.03
Rosenthal 1931c   85  0.3364  0.0085  0.0382  0.0377  0.0388  0.03
Rosenthal 1931d   84  0.3475  0.0084  0.0387  0.0363  0.0486  0.03
Rossi 2007   17  0.549  0.0025  0.0718  0.495  0.564  0.52
Rubinstein 1939   56  0.4651  0.0057  0.0478  0.0481  0.0378  0.03
Rubinstein 1952   76  0.4032  0.0061  0.0550  0.0562  0.0557  0.05
Rubinstein 1966   46  0.4876  0.0044  0.0744  0.1369  0.0546  0.08
Schilhawsky 1960   29  0.528  0.0030  0.0721  0.4546  0.1014  0.21
Shebanova 2002   26  0.5252  0.0020  0.1119  0.4849  0.0619  0.17
Smith 1975   68  0.4210  0.0069  0.0384  0.0377  0.0377  0.03
Sokolov 2002   62  0.4313  0.0060  0.0552  0.0578  0.0360  0.04
Sztompka 1959   3  0.6123  0.003  0.175  0.6035  0.366  0.46
Tomsic 1995   60  0.4442  0.0050  0.0461  0.0429  0.3635  0.12
Uninsky 1932   48  0.4889  0.0049  0.0554  0.0577  0.0466  0.04
Uninsky 1971   40  0.4939  0.0037  0.0738  0.2550  0.0732  0.13
Wasowski 1980   8  0.5790  0.0017  0.1117  0.4940  0.209  0.31
Zak 1937   53  0.4768  0.0059  0.0467  0.0484  0.0379  0.03
Zak 1951   49  0.4865  0.0054  0.0558  0.0584  0.0463  0.04
Average   2  0.6815  0.002  0.422  0.7663  0.0516  0.19
Random 1   91  -0.1566  0.0090  0.0190  0.0170  0.0391  0.02
Random 2   90  -0.0891  0.0091  0.0191  0.0154  0.0490  0.02
Random 3   89  -0.0233  0.0089  0.0289  0.0227  0.2447  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).