Garcia 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   77  0.2035  0.0064  0.0382  0.0361  0.0482  0.03
Anderszewski 2003   43  0.3050  0.0021  0.0619  0.4141  0.2113  0.29
Ashkenazy 1981   53  0.2769  0.0058  0.0558  0.0571  0.0556  0.05
Bacha 2000   67  0.2364  0.0075  0.0565  0.0565  0.0461  0.04
Badura 1965   72  0.2158  0.0070  0.0563  0.0582  0.0370  0.04
Barbosa 1983   18  0.3420  0.0012  0.0913  0.5346  0.0924  0.22
Biret 1990   68  0.2354  0.0072  0.0649  0.0665  0.0458  0.05
Blet 2003   59  0.2637  0.0063  0.0380  0.0372  0.0380  0.03
Block 1995   17  0.365  0.0213  0.0820  0.4043  0.1225  0.22
Blumental 1952   55  0.279  0.0152  0.0471  0.0462  0.0571  0.04
Boshniakovich 1969   2  0.462  0.092  0.402  0.7615  0.553  0.65
Brailowsky 1960   74  0.2163  0.0081  0.0475  0.0478  0.0463  0.04
Bunin 1987   33  0.3176  0.0039  0.0537  0.1652  0.0638  0.10
Bunin 1987b   29  0.3273  0.0040  0.0536  0.1644  0.1331  0.14
Chiu 1999   34  0.3140  0.0030  0.0828  0.3057  0.0534  0.12
Cohen 1997   60  0.2623  0.0044  0.0543  0.1051  0.0641  0.08
Cortot 1951   73  0.2177  0.0079  0.0379  0.0360  0.0672  0.04
Csalog 1996   28  0.3218  0.0029  0.0829  0.3039  0.1226  0.19
Czerny 1949   85  0.1678  0.0077  0.0476  0.0466  0.0469  0.04
Czerny 1990   35  0.3180  0.0043  0.0444  0.0969  0.0448  0.06
Duchoud 2007   46  0.2946  0.0053  0.0553  0.0549  0.0747  0.06
Ezaki 2006   71  0.2252  0.0071  0.0555  0.0568  0.0549  0.05
Falvay 1989   45  0.2948  0.0033  0.1033  0.2161  0.0536  0.10
Farrell 1958   62  0.2553  0.0051  0.0566  0.0557  0.0651  0.05
Ferenczy 1958   82  0.1784  0.0083  0.0287  0.0266  0.0581  0.03
Fliere 1977   5  0.4314  0.004  0.203  0.6943  0.1712  0.34
Fou 1978   32  0.3125  0.0042  0.0442  0.1062  0.0446  0.06
Francois 1956   79  0.1979  0.0080  0.0556  0.0575  0.0373  0.04
Friedman 1923   50  0.2927  0.0055  0.0554  0.0557  0.0660  0.05
Friedman 1923b   51  0.2868  0.0060  0.0551  0.0549  0.0657  0.05
Friedman 1930   23  0.3310  0.0131  0.0931  0.2456  0.0535  0.11
Garcia 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Garcia 2007b   1  0.551  0.741  0.731  0.881  0.871  0.87
Gierzod 1998   42  0.3012  0.0022  0.0824  0.3557  0.0633  0.14
Gornostaeva 1994   40  0.3045  0.0047  0.0560  0.0542  0.0944  0.07
Groot 1988   38  0.3059  0.0035  0.0735  0.1767  0.0442  0.08
Harasiewicz 1955   11  0.386  0.017  0.1510  0.5743  0.1220  0.26
Hatto 1993   21  0.3417  0.0027  0.0917  0.4249  0.0728  0.17
Hatto 1997   57  0.2749  0.0038  0.0641  0.1049  0.0543  0.07
Horowitz 1949   49  0.2936  0.0059  0.0550  0.0556  0.0552  0.05
Indjic 1988   24  0.3355  0.0026  0.0718  0.4168  0.0532  0.14
Kapell 1951   4  0.437  0.019  0.189  0.5926  0.317  0.43
Kissin 1993   61  0.2566  0.0067  0.0477  0.0450  0.0753  0.05
Kushner 1989   12  0.3728  0.005  0.178  0.6133  0.299  0.42
Luisada 1991   48  0.2985  0.0061  0.0746  0.0759  0.0645  0.06
Lushtak 2004   47  0.2972  0.0054  0.0647  0.0654  0.0555  0.05
Malcuzynski 1961   13  0.3722  0.008  0.167  0.6331  0.336  0.46
Magaloff 1978   52  0.2865  0.0050  0.0469  0.0478  0.0374  0.03
Magin 1975   54  0.2771  0.0056  0.0552  0.0576  0.0465  0.04
Michalowski 1933   69  0.2334  0.0074  0.0472  0.0469  0.0567  0.04
Milkina 1970   70  0.2333  0.0034  0.0739  0.1454  0.0540  0.08
Mohovich 1999   3  0.443  0.033  0.374  0.6815  0.584  0.63
Moravec 1969   39  0.3021  0.0062  0.0567  0.0574  0.0362  0.04
Morozova 2008   36  0.3024  0.0017  0.1021  0.3941  0.1718  0.26
Neighaus 1950   56  0.2713  0.0073  0.0557  0.0588  0.0285  0.03
Niedzielski 1931   44  0.2911  0.0132  0.1032  0.2136  0.2422  0.22
Ohlsson 1999   64  0.2589  0.0046  0.0559  0.0570  0.0466  0.04
Osinska 1989   19  0.3461  0.0025  0.0722  0.3859  0.0530  0.14
Pachmann 1927   25  0.3339  0.0036  0.0534  0.1826  0.3717  0.26
Paderewski 1930   22  0.3315  0.0028  0.0927  0.3115  0.5510  0.41
Perlemuter 1992   26  0.3347  0.0020  0.0730  0.2632  0.2421  0.25
Pierdomenico 2008   6  0.428  0.016  0.165  0.653  0.692  0.67
Poblocka 1999   37  0.3031  0.0041  0.0540  0.1267  0.0539  0.08
Rabcewiczowa 1932   30  0.3144  0.0037  0.0538  0.1657  0.0637  0.10
Rachmaninoff 1923   66  0.2486  0.0065  0.0378  0.0375  0.0375  0.03
Rangell 2001   7  0.4226  0.0011  0.1411  0.5611  0.555  0.55
Richter 1976   10  0.3856  0.0015  0.1212  0.5531  0.348  0.43
Rosen 1989   9  0.394  0.0214  0.1015  0.4741  0.1419  0.26
Rosenthal 1930   81  0.1860  0.0087  0.0383  0.0384  0.0383  0.03
Rosenthal 1931   87  0.1181  0.0086  0.0385  0.0380  0.0379  0.03
Rosenthal 1931b   84  0.1788  0.0082  0.0386  0.0365  0.0486  0.03
Rosenthal 1931c   75  0.2043  0.0078  0.0473  0.0478  0.0387  0.03
Rosenthal 1931d   80  0.1887  0.0084  0.0381  0.0370  0.0484  0.03
Rossi 2007   63  0.2551  0.0045  0.0564  0.057  0.5927  0.17
Rubinstein 1939   78  0.2070  0.0068  0.0468  0.0482  0.0377  0.03
Rubinstein 1952   58  0.2757  0.0057  0.0745  0.0775  0.0359  0.05
Rubinstein 1966   8  0.4129  0.0010  0.186  0.6439  0.1314  0.29
Schilhawsky 1960   65  0.2441  0.0069  0.0470  0.0453  0.0568  0.04
Shebanova 2002   16  0.3619  0.0016  0.1014  0.4943  0.1615  0.28
Smith 1975   86  0.1242  0.0085  0.0384  0.0381  0.0376  0.03
Sokolov 2002   83  0.1762  0.0066  0.0474  0.0467  0.0464  0.04
Sztompka 1959   27  0.3267  0.0019  0.0825  0.3348  0.0729  0.15
Tomsic 1995   20  0.3438  0.0018  0.1016  0.4625  0.3011  0.37
Uninsky 1932   31  0.3190  0.0048  0.0648  0.0659  0.0554  0.05
Uninsky 1971   76  0.2082  0.0076  0.0562  0.0587  0.0278  0.03
Wasowski 1980   41  0.3032  0.0049  0.0561  0.0568  0.0550  0.05
Zak 1937   14  0.3730  0.0024  0.0926  0.3342  0.1523  0.22
Zak 1951   15  0.3716  0.0023  0.0723  0.3533  0.2016  0.26
Random 1   90  -0.0774  0.0088  0.0188  0.0148  0.0589  0.02
Random 2   88  -0.0283  0.0089  0.0189  0.0168  0.0388  0.02
Random 3   89  -0.0575  0.0090  0.0190  0.0164  0.0390  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).