Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   31  0.5419  0.0039  0.0634  0.2072  0.0337  0.08
Anderszewski 2003   11  0.5832  0.0018  0.0810  0.4730  0.196  0.30
Ashkenazy 1981   9  0.5885  0.0016  0.0619  0.3752  0.0523  0.14
Bacha 2000   42  0.5141  0.0050  0.0552  0.0546  0.0742  0.06
Badura 1965   83  0.3576  0.0080  0.0385  0.0359  0.0483  0.03
Barbosa 1983   85  0.3467  0.0082  0.0381  0.0364  0.0479  0.03
Biret 1990   3  0.627  0.019  0.114  0.5541  0.158  0.29
Blet 2003   26  0.555  0.0225  0.0633  0.2655  0.0533  0.11
Block 1995   40  0.5115  0.016  0.1927  0.3134  0.1811  0.24
Blumental 1952   37  0.536  0.0114  0.0836  0.2040  0.1316  0.16
Boshniakovich 1969   12  0.5811  0.0119  0.0828  0.3151  0.0530  0.12
Brailowsky 1960   39  0.5248  0.0058  0.0372  0.0348  0.0556  0.04
Bunin 1987   64  0.4644  0.0069  0.0558  0.0573  0.0466  0.04
Bunin 1987b   65  0.4561  0.0068  0.0459  0.0474  0.0461  0.04
Chiu 1999   62  0.4633  0.0070  0.0374  0.0386  0.0373  0.03
Cohen 1997   87  0.3020  0.0081  0.0377  0.0376  0.0384  0.03
Cortot 1951   15  0.5688  0.0033  0.1020  0.3737  0.1810  0.26
Csalog 1996   88  0.2853  0.0084  0.0384  0.0383  0.0381  0.03
Czerny 1949   60  0.4782  0.0051  0.0647  0.0647  0.0644  0.06
Czerny 1990   34  0.5349  0.0048  0.0648  0.0685  0.0367  0.04
Duchoud 2007   19  0.5523  0.0029  0.0625  0.3336  0.239  0.28
Ezaki 2006   35  0.5374  0.0054  0.0551  0.0572  0.0354  0.04
Falvay 1989   81  0.3770  0.0086  0.0386  0.0380  0.0474  0.03
Farrell 1958   7  0.6110  0.015  0.165  0.5416  0.343  0.43
Ferenczy 1958   50  0.5045  0.0046  0.0461  0.0450  0.0651  0.05
Fliere 1977   5  0.6125  0.0011  0.098  0.4965  0.0420  0.14
Fou 1978   33  0.5368  0.0049  0.0557  0.0556  0.0548  0.05
Francois 1956   77  0.3978  0.0067  0.0553  0.0580  0.0370  0.04
Friedman 1923   72  0.4160  0.0077  0.0378  0.0368  0.0571  0.04
Friedman 1923b   71  0.4238  0.0075  0.0382  0.0376  0.0485  0.03
Friedman 1930   78  0.3950  0.0076  0.0383  0.0352  0.0564  0.04
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.721  0.731  0.721  0.841  0.811  0.82
Gierzod 1998   21  0.5575  0.0031  0.0722  0.3651  0.0527  0.13
Gornostaeva 1994   53  0.4965  0.0062  0.0464  0.0488  0.0286  0.03
Groot 1988   63  0.4671  0.0037  0.0741  0.1486  0.0346  0.06
Harasiewicz 1955   29  0.5416  0.0012  0.099  0.4755  0.0424  0.14
Hatto 1993   51  0.4990  0.0043  0.0540  0.1671  0.0438  0.08
Hatto 1997   49  0.5079  0.0045  0.0543  0.1055  0.0541  0.07
Horowitz 1949   52  0.4966  0.0041  0.0544  0.1058  0.0443  0.06
Indjic 1988   48  0.5083  0.0044  0.0442  0.1166  0.0440  0.07
Kapell 1951   30  0.5427  0.0010  0.1011  0.4646  0.0714  0.18
Kissin 1993   45  0.5080  0.0060  0.0556  0.0585  0.0363  0.04
Kushner 1989   14  0.5612  0.0117  0.0713  0.4352  0.0518  0.15
Luisada 1991   6  0.614  0.0215  0.0821  0.3652  0.0525  0.13
Lushtak 2004   23  0.5522  0.0035  0.1026  0.3150  0.0622  0.14
Malcuzynski 1961   58  0.4763  0.0065  0.0471  0.0457  0.0462  0.04
Magaloff 1978   59  0.4742  0.0066  0.0554  0.0562  0.0458  0.04
Magin 1975   13  0.5724  0.0023  0.0624  0.3342  0.1112  0.19
Michalowski 1933   47  0.5031  0.0021  0.0723  0.3436  0.285  0.31
Milkina 1970   54  0.4946  0.0053  0.0550  0.0583  0.0460  0.04
Mohovich 1999   24  0.5543  0.0038  0.0535  0.2088  0.0245  0.06
Moravec 1969   79  0.3854  0.0071  0.0466  0.0468  0.0372  0.03
Morozova 2008   17  0.5664  0.0030  0.0629  0.3060  0.0434  0.11
Neighaus 1950   16  0.5626  0.0028  0.0514  0.4380  0.0428  0.13
Niedzielski 1931   44  0.512  0.044  0.2317  0.4117  0.364  0.38
Ohlsson 1999   27  0.5447  0.0022  0.0631  0.2968  0.0432  0.11
Osinska 1989   43  0.5113  0.0152  0.0549  0.0587  0.0355  0.04
Pachmann 1927   84  0.3572  0.0088  0.0468  0.0482  0.0378  0.03
Paderewski 1930   57  0.4837  0.0055  0.0646  0.0662  0.0450  0.05
Perlemuter 1992   4  0.613  0.032  0.232  0.6424  0.302  0.44
Pierdomenico 2008   66  0.4521  0.0063  0.0463  0.0453  0.0647  0.05
Poblocka 1999   20  0.5518  0.0020  0.0912  0.4353  0.0517  0.15
Rabcewiczowa 1932   56  0.4840  0.0059  0.0462  0.0459  0.0459  0.04
Rachmaninoff 1923   22  0.5534  0.0013  0.0815  0.4263  0.0426  0.13
Rangell 2001   76  0.3956  0.0073  0.0379  0.0379  0.0387  0.03
Richter 1976   61  0.4629  0.0057  0.0470  0.0448  0.0649  0.05
Rosen 1989   38  0.5214  0.0142  0.0545  0.0973  0.0352  0.05
Rosenthal 1930   69  0.4236  0.0078  0.0555  0.0566  0.0365  0.04
Rosenthal 1931   74  0.4058  0.0072  0.0375  0.0365  0.0380  0.03
Rosenthal 1931b   67  0.4328  0.0056  0.0467  0.0454  0.0569  0.04
Rosenthal 1931c   80  0.3891  0.0079  0.0380  0.0376  0.0388  0.03
Rosenthal 1931d   68  0.4357  0.0064  0.0469  0.0468  0.0468  0.04
Rossi 2007   75  0.409  0.0161  0.0460  0.0459  0.0557  0.04
Rubinstein 1939   82  0.3684  0.0085  0.0288  0.0273  0.0476  0.03
Rubinstein 1952   86  0.3286  0.0087  0.0373  0.0367  0.0489  0.03
Rubinstein 1966   73  0.4035  0.0083  0.0376  0.0382  0.0382  0.03
Schilhawsky 1960   25  0.5517  0.007  0.186  0.5342  0.177  0.30
Shebanova 2002   32  0.5351  0.0040  0.0839  0.1755  0.0536  0.09
Smith 1975   36  0.5373  0.0047  0.0465  0.0479  0.0375  0.03
Sokolov 2002   28  0.5452  0.0032  0.0830  0.3063  0.0431  0.11
Sztompka 1959   8  0.5939  0.008  0.197  0.5249  0.0713  0.19
Tomsic 1995   70  0.4259  0.0074  0.0387  0.0375  0.0377  0.03
Uninsky 1932   10  0.5855  0.0024  0.0618  0.4156  0.0615  0.16
Uninsky 1971   18  0.5630  0.0026  0.0716  0.4164  0.0521  0.14
Wasowski 1980   41  0.5187  0.0034  0.1032  0.2762  0.0529  0.12
Zak 1937   46  0.5081  0.0027  0.0637  0.1977  0.0435  0.09
Zak 1951   55  0.4877  0.0036  0.0538  0.1783  0.0339  0.07
Average   2  0.668  0.013  0.263  0.5776  0.0419  0.15
Random 1   90  -0.1269  0.0089  0.0190  0.0134  0.2653  0.05
Random 2   91  -0.1562  0.0090  0.0189  0.0172  0.0390  0.02
Random 3   89  -0.0889  0.0091  0.0191  0.0164  0.0491  0.02

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).