Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.5858  0.0046  0.0846  0.0853  0.0455  0.06
Anderszewski 2003   75  0.3367  0.0074  0.0563  0.0582  0.0274  0.03
Ashkenazy 1981   40  0.577  0.0348  0.0748  0.0741  0.1250  0.09
Bacha 2000   31  0.6011  0.0250  0.0653  0.0616  0.4044  0.15
Badura 1965   60  0.4457  0.0045  0.0644  0.1234  0.2243  0.16
Barbosa 1983   54  0.4915  0.0140  0.0739  0.1933  0.2838  0.23
Biret 1990   50  0.5389  0.0051  0.0649  0.0647  0.0557  0.05
Blet 2003   33  0.5953  0.0053  0.0562  0.0562  0.0462  0.04
Block 1995   29  0.6118  0.0137  0.0732  0.3110  0.3627  0.33
Blumental 1952   82  0.2438  0.0084  0.0283  0.0282  0.0287  0.02
Boshniakovich 1969   21  0.6712  0.025  0.118  0.513  0.588  0.54
Brailowsky 1960   10  0.7248  0.0018  0.0816  0.446  0.4713  0.45
Bunin 1987   48  0.5327  0.0059  0.0555  0.0567  0.0467  0.04
Bunin 1987b   49  0.5339  0.0060  0.0847  0.0865  0.0454  0.06
Chiu 1999   23  0.6430  0.0021  0.0515  0.447  0.5310  0.48
Cohen 1997   61  0.4461  0.0062  0.0554  0.0519  0.3347  0.13
Cortot 1951   78  0.3063  0.0086  0.0379  0.0385  0.0289  0.02
Csalog 1996   57  0.4642  0.0052  0.0566  0.0525  0.3446  0.13
Czerny 1949   72  0.3654  0.0068  0.0473  0.0460  0.0564  0.04
Czerny 1990   53  0.5031  0.0054  0.0557  0.0547  0.0556  0.05
Duchoud 2007   65  0.4276  0.0067  0.0471  0.0469  0.0377  0.03
Ezaki 2006   20  0.6722  0.0132  0.0729  0.3329  0.2134  0.26
Falvay 1989   2  0.8129  0.004  0.233  0.574  0.612  0.59
Farrell 1958   46  0.5343  0.0057  0.0467  0.0445  0.0953  0.06
Ferenczy 1958   71  0.3628  0.0082  0.0284  0.0284  0.0283  0.02
Fliere 1977   5  0.742  0.102  0.212  0.582  0.584  0.58
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   47  0.5332  0.0034  0.0738  0.2029  0.1940  0.19
Friedman 1923   90  -0.0577  0.0091  0.0191  0.0178  0.0491  0.02
Friedman 1923b   89  -0.0490  0.0090  0.0290  0.0278  0.0388  0.02
Friedman 1930   85  0.1151  0.0076  0.0375  0.0381  0.0376  0.03
Garcia 2007   79  0.3083  0.0083  0.0285  0.0283  0.0286  0.02
Garcia 2007b   84  0.1885  0.0081  0.0282  0.0275  0.0390  0.02
Gierzod 1998   55  0.4962  0.0049  0.0651  0.0665  0.0365  0.04
Gornostaeva 1994   27  0.6223  0.0015  0.0719  0.3918  0.3622  0.37
Groot 1988   7  0.7352  0.0012  0.0813  0.4610  0.4612  0.46
Harasiewicz 1955   41  0.5614  0.0125  0.0824  0.3629  0.2532  0.30
Hatto 1993   73  0.3587  0.0066  0.0561  0.0565  0.0368  0.04
Hatto 1997   68  0.3964  0.0064  0.0469  0.0447  0.0463  0.04
Horowitz 1949   42  0.5555  0.0028  0.0735  0.3018  0.3329  0.31
Indjic 1988   69  0.3780  0.0065  0.0470  0.0470  0.0373  0.03
Kapell 1951   70  0.3668  0.0075  0.0378  0.0388  0.0280  0.02
Kissin 1993   1  0.831  0.341  0.341  0.601  0.711  0.65
Kushner 1989   25  0.6337  0.0023  0.0620  0.3931  0.2428  0.31
Luisada 1991   24  0.6347  0.0036  0.0626  0.3518  0.3823  0.36
Lushtak 2004   19  0.689  0.0320  0.0631  0.3226  0.2533  0.28
Malcuzynski 1961   16  0.6917  0.0124  0.0725  0.3528  0.2630  0.30
Magaloff 1978   15  0.7020  0.016  0.1112  0.4710  0.4414  0.45
Magin 1975   45  0.5521  0.0143  0.0742  0.1835  0.1942  0.18
Michalowski 1933   87  0.0372  0.0079  0.0286  0.0286  0.0281  0.02
Milkina 1970   4  0.754  0.073  0.194  0.553  0.595  0.57
Mohovich 1999   12  0.7146  0.0022  0.0623  0.3623  0.3425  0.35
Moravec 1969   62  0.4441  0.0069  0.0565  0.0558  0.0458  0.04
Morozova 2008   30  0.6133  0.0031  0.0721  0.3828  0.1737  0.25
Neighaus 1950   11  0.713  0.079  0.0810  0.4920  0.4215  0.45
Niedzielski 1931   83  0.2040  0.0078  0.0380  0.0372  0.0279  0.02
Ohlsson 1999   52  0.5225  0.0047  0.0650  0.0636  0.1749  0.10
Osinska 1989   43  0.558  0.0341  0.0737  0.2239  0.1541  0.18
Pachmann 1927   8  0.7265  0.0016  0.109  0.491  0.666  0.57
Paderewski 1930   59  0.4570  0.0072  0.0560  0.0583  0.0271  0.03
Perlemuter 1992   26  0.6344  0.0038  0.0733  0.3130  0.2135  0.26
Pierdomenico 2008   38  0.5781  0.0026  0.0628  0.3311  0.3924  0.36
Poblocka 1999   51  0.5226  0.0063  0.0468  0.0469  0.0369  0.03
Rabcewiczowa 1932   76  0.3271  0.0073  0.0474  0.0473  0.0370  0.03
Rachmaninoff 1923   58  0.4534  0.0056  0.0558  0.0559  0.0461  0.04
Rangell 2001   32  0.6059  0.0011  0.0817  0.424  0.4717  0.44
Richter 1976   36  0.5849  0.0044  0.0643  0.1330  0.1545  0.14
Rosen 1989   22  0.6624  0.0035  0.0636  0.2818  0.4226  0.34
Rosenthal 1930   64  0.4256  0.0061  0.0652  0.0673  0.0366  0.04
Rosenthal 1931   35  0.5874  0.0027  0.0730  0.3212  0.4520  0.38
Rosenthal 1931b   39  0.5766  0.0029  0.0634  0.318  0.4621  0.38
Rosenthal 1931c   44  0.5578  0.0042  0.0641  0.1829  0.2239  0.20
Rosenthal 1931d   28  0.6150  0.0030  0.1127  0.347  0.4619  0.40
Rossi 2007   80  0.2588  0.0055  0.0559  0.0534  0.1251  0.08
Rubinstein 1939   63  0.4316  0.0119  0.0645  0.125  0.5136  0.25
Rubinstein 1952   6  0.746  0.047  0.125  0.524  0.627  0.57
Rubinstein 1966   14  0.7119  0.0114  0.116  0.521  0.663  0.59
Schilhawsky 1960   66  0.4145  0.0070  0.0472  0.0481  0.0375  0.03
Shebanova 2002   17  0.6910  0.0233  0.0722  0.3614  0.4818  0.42
Smith 1975   37  0.5835  0.0039  0.0740  0.1855  0.0452  0.08
Sokolov 2002   56  0.4773  0.0071  0.0564  0.0575  0.0360  0.04
Sztompka 1959   74  0.3460  0.0077  0.0376  0.0378  0.0372  0.03
Tomsic 1995   3  0.7836  0.008  0.127  0.518  0.539  0.52
Uninsky 1932   81  0.2482  0.0085  0.0377  0.0383  0.0284  0.02
Uninsky 1971   77  0.3279  0.0080  0.0287  0.0275  0.0382  0.02
Wasowski 1980   67  0.4084  0.0058  0.0556  0.0566  0.0459  0.04
Zak 1937   18  0.6869  0.0017  0.1018  0.429  0.4716  0.44
Zak 1951   13  0.7113  0.0213  0.1114  0.455  0.5111  0.48
Average   9  0.725  0.0610  0.0811  0.4834  0.1931  0.30
Random 1   88  0.0075  0.0087  0.0381  0.0313  0.3948  0.11
Random 2   91  -0.2091  0.0089  0.0289  0.0266  0.0385  0.02
Random 3   86  0.0486  0.0088  0.0288  0.0261  0.0478  0.03

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).