Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.4434  0.0012  0.1123  0.295  0.5415  0.40
Anderszewski 2003   35  0.4235  0.0028  0.0531  0.2046  0.0844  0.13
Ashkenazy 1981   65  0.3648  0.0069  0.0466  0.0444  0.1264  0.07
Bacha 2000   40  0.4279  0.0044  0.0544  0.1013  0.4635  0.21
Badura 1965   60  0.3829  0.0067  0.0647  0.0643  0.1063  0.08
Barbosa 1983   12  0.4850  0.0018  0.0816  0.3844  0.1334  0.22
Biret 1990   2  0.549  0.026  0.132  0.5716  0.487  0.52
Blet 2003   29  0.4321  0.0037  0.0638  0.148  0.4727  0.26
Block 1995   63  0.3626  0.0062  0.0651  0.0643  0.1457  0.09
Blumental 1952   8  0.532  0.183  0.187  0.5414  0.583  0.56
Boshniakovich 1969   50  0.4020  0.0143  0.0543  0.1046  0.0858  0.09
Brailowsky 1960   3  0.547  0.037  0.158  0.5310  0.631  0.58
Bunin 1987   37  0.4236  0.0050  0.0559  0.0519  0.3345  0.13
Bunin 1987b   34  0.4260  0.0041  0.0640  0.1119  0.4036  0.21
Chiu 1999   59  0.3815  0.0135  0.0632  0.197  0.4823  0.30
Cohen 1997   54  0.3912  0.0232  0.0529  0.223  0.5721  0.35
Cortot 1951   73  0.2954  0.0077  0.0381  0.0332  0.3154  0.10
Csalog 1996   16  0.4845  0.0033  0.0628  0.2430  0.2332  0.23
Czerny 1949   71  0.3228  0.0072  0.0563  0.0565  0.0478  0.04
Czerny 1990   36  0.4210  0.0224  0.0617  0.3642  0.1928  0.26
Duchoud 2007   74  0.2874  0.0075  0.0379  0.0335  0.3353  0.10
Ezaki 2006   41  0.4285  0.0056  0.0565  0.0563  0.0565  0.05
Falvay 1989   19  0.4522  0.0034  0.0724  0.2857  0.0547  0.12
Farrell 1958   49  0.4037  0.0053  0.0469  0.0434  0.2948  0.11
Ferenczy 1958   44  0.415  0.0536  0.0639  0.1421  0.5125  0.27
Fliere 1977   1  0.543  0.112  0.2310  0.5221  0.4410  0.48
Fou 1978   23  0.4442  0.0022  0.0830  0.2139  0.1737  0.19
Francois 1956   67  0.3656  0.0066  0.0746  0.0722  0.3740  0.16
Friedman 1923   80  0.2643  0.0073  0.0477  0.0458  0.0582  0.04
Friedman 1923b   82  0.2551  0.0074  0.0478  0.0472  0.0479  0.04
Friedman 1930   64  0.3647  0.0051  0.0476  0.0416  0.4643  0.14
Garcia 2007   77  0.2763  0.0079  0.0385  0.0366  0.0488  0.03
Garcia 2007b   48  0.4049  0.0026  0.0827  0.2625  0.3822  0.31
Gierzod 1998   30  0.4368  0.0038  0.0537  0.1656  0.0556  0.09
Gornostaeva 1994   69  0.3486  0.0064  0.0650  0.0654  0.0572  0.05
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   56  0.3875  0.0063  0.0553  0.0554  0.0573  0.05
Hatto 1993   9  0.5355  0.008  0.154  0.5618  0.498  0.52
Hatto 1997   6  0.538  0.035  0.141  0.6016  0.514  0.55
Horowitz 1949   45  0.4114  0.0145  0.0560  0.055  0.5638  0.17
Indjic 1988   10  0.5224  0.009  0.155  0.5519  0.496  0.52
Kapell 1951   43  0.4252  0.0059  0.0557  0.0566  0.0568  0.05
Kissin 1993   75  0.2881  0.0081  0.0564  0.0561  0.0570  0.05
Kushner 1989   32  0.4272  0.0029  0.0536  0.1657  0.0555  0.09
Luisada 1991   53  0.3941  0.0046  0.0556  0.0536  0.2049  0.10
Lushtak 2004   24  0.4446  0.0017  0.0812  0.4225  0.4212  0.42
Malcuzynski 1961   47  0.4153  0.0030  0.0641  0.1157  0.0659  0.08
Magaloff 1978   15  0.4832  0.0014  0.1115  0.3922  0.4114  0.40
Magin 1975   14  0.4827  0.0013  0.0914  0.3925  0.3816  0.38
Michalowski 1933   86  0.1825  0.0086  0.0387  0.0351  0.0486  0.03
Milkina 1970   7  0.5316  0.0110  0.186  0.5440  0.2319  0.35
Mohovich 1999   5  0.544  0.064  0.163  0.5717  0.515  0.54
Moravec 1969   27  0.4459  0.0058  0.0468  0.0454  0.0666  0.05
Morozova 2008   62  0.3713  0.0149  0.0648  0.0643  0.1062  0.08
Neighaus 1950   76  0.2780  0.0078  0.0382  0.0346  0.0681  0.04
Niedzielski 1931   68  0.3423  0.0047  0.0558  0.0515  0.4142  0.14
Ohlsson 1999   70  0.3318  0.0165  0.0552  0.0543  0.1361  0.08
Osinska 1989   38  0.4231  0.0039  0.0634  0.1754  0.0650  0.10
Pachmann 1927   87  0.1582  0.0087  0.0386  0.0373  0.0384  0.03
Paderewski 1930   85  0.1864  0.0085  0.0475  0.0464  0.0477  0.04
Perlemuter 1992   79  0.2661  0.0082  0.0474  0.0465  0.0474  0.04
Pierdomenico 2008   78  0.2773  0.0071  0.0472  0.0450  0.0575  0.04
Poblocka 1999   21  0.4487  0.0020  0.0620  0.3434  0.2524  0.29
Rabcewiczowa 1932   52  0.3938  0.0025  0.0725  0.2832  0.2426  0.26
Rachmaninoff 1923   4  0.541  0.281  0.279  0.535  0.622  0.57
Rangell 2001   83  0.2476  0.0083  0.0471  0.0471  0.0580  0.04
Richter 1976   51  0.3939  0.0052  0.0473  0.0436  0.2652  0.10
Rosen 1989   31  0.4319  0.0119  0.0818  0.3516  0.4713  0.41
Rosenthal 1930   13  0.4844  0.0021  0.0622  0.308  0.6711  0.45
Rosenthal 1931   57  0.3858  0.0061  0.0649  0.0615  0.4739  0.17
Rosenthal 1931b   25  0.4483  0.0054  0.0470  0.049  0.5641  0.15
Rosenthal 1931c   39  0.4267  0.0055  0.0562  0.0524  0.3646  0.13
Rosenthal 1931d   22  0.4417  0.0142  0.0542  0.108  0.5930  0.24
Rossi 2007   84  0.2288  0.0084  0.0384  0.0374  0.0383  0.03
Rubinstein 1939   58  0.3862  0.0060  0.0554  0.0537  0.2051  0.10
Rubinstein 1952   18  0.456  0.0316  0.0819  0.3538  0.2029  0.26
Rubinstein 1966   17  0.4771  0.0015  0.0913  0.4036  0.3120  0.35
Schilhawsky 1960   20  0.4533  0.0023  0.0726  0.2717  0.5017  0.37
Shebanova 2002   28  0.4357  0.0027  0.0921  0.3217  0.4318  0.37
Smith 1975   33  0.4265  0.0040  0.0635  0.1629  0.3431  0.23
Sokolov 2002   66  0.3666  0.0070  0.0561  0.0555  0.0567  0.05
Sztompka 1959   81  0.2570  0.0080  0.0380  0.0372  0.0485  0.03
Tomsic 1995   61  0.3877  0.0068  0.0845  0.0846  0.0860  0.08
Uninsky 1932   72  0.3169  0.0076  0.0383  0.0359  0.0487  0.03
Uninsky 1971   11  0.5040  0.0011  0.1411  0.5015  0.539  0.51
Wasowski 1980   46  0.4111  0.0231  0.0533  0.1835  0.2833  0.22
Zak 1937   55  0.3889  0.0057  0.0467  0.0459  0.0476  0.04
Zak 1951   42  0.4230  0.0048  0.0555  0.0559  0.0569  0.05
Random 1   90  -0.1490  0.0089  0.0189  0.0164  0.0390  0.02
Random 2   89  -0.0784  0.0090  0.0190  0.0177  0.0389  0.02
Random 3   88  -0.0178  0.0088  0.0288  0.0237  0.1571  0.05

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).