Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.4642  0.0055  0.0746  0.0718  0.4245  0.17
Anderszewski 2003   20  0.5345  0.0020  0.0918  0.4428  0.4419  0.44
Ashkenazy 1981   22  0.5324  0.0044  0.0742  0.134  0.5738  0.27
Bacha 2000   64  0.4054  0.0052  0.0561  0.0527  0.3252  0.13
Badura 1965   57  0.4267  0.0063  0.0464  0.0428  0.2862  0.11
Barbosa 1983   14  0.5632  0.0021  0.0923  0.3933  0.2929  0.34
Biret 1990   21  0.5310  0.0117  0.0720  0.4129  0.3626  0.38
Blet 2003   40  0.4748  0.0050  0.0650  0.068  0.4744  0.17
Block 1995   28  0.5127  0.0019  0.0817  0.447  0.668  0.54
Blumental 1952   19  0.5431  0.0025  0.0727  0.3224  0.4722  0.39
Boshniakovich 1969   31  0.5029  0.0024  0.1021  0.4031  0.2731  0.33
Brailowsky 1960   24  0.5225  0.0030  0.0726  0.3323  0.4921  0.40
Bunin 1987   86  0.2484  0.0087  0.0288  0.0288  0.0291  0.02
Bunin 1987b   85  0.2587  0.0088  0.0383  0.0383  0.0386  0.03
Chiu 1999   61  0.4122  0.0061  0.0562  0.0529  0.2560  0.11
Cohen 1997   80  0.3470  0.0082  0.0556  0.0550  0.0577  0.05
Cortot 1951   77  0.3685  0.0069  0.0381  0.0322  0.4558  0.12
Csalog 1996   46  0.4633  0.0031  0.0828  0.2821  0.3532  0.31
Czerny 1949   45  0.4677  0.0026  0.0736  0.2237  0.3535  0.28
Czerny 1990   11  0.5726  0.008  0.1210  0.5227  0.585  0.55
Duchoud 2007   82  0.2981  0.0085  0.0475  0.0447  0.0776  0.05
Ezaki 2006   5  0.6038  0.0010  0.129  0.5424  0.4910  0.51
Falvay 1989   9  0.5855  0.0018  0.0822  0.4038  0.3624  0.38
Farrell 1958   65  0.4088  0.0054  0.0651  0.0645  0.1367  0.09
Ferenczy 1958   48  0.4528  0.0040  0.0644  0.1119  0.5240  0.24
Fliere 1977   4  0.624  0.024  0.243  0.6510  0.563  0.60
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   69  0.3968  0.0073  0.0471  0.0443  0.1472  0.07
Friedman 1923   72  0.3778  0.0064  0.0560  0.0519  0.4946  0.16
Friedman 1923b   67  0.3960  0.0059  0.0466  0.0414  0.5347  0.15
Friedman 1930   84  0.2886  0.0083  0.0384  0.0370  0.0487  0.03
Garcia 2007   79  0.3451  0.0078  0.0386  0.0360  0.0583  0.04
Garcia 2007b   71  0.3769  0.0067  0.0474  0.0455  0.0585  0.04
Gierzod 1998   3  0.6218  0.013  0.186  0.5719  0.517  0.54
Gornostaeva 1994   29  0.5137  0.0036  0.0634  0.2430  0.3634  0.29
Groot 1988   52  0.4452  0.0037  0.0540  0.1731  0.2143  0.19
Harasiewicz 1955   2  0.633  0.022  0.342  0.708  0.661  0.68
Hatto 1993   54  0.4457  0.0057  0.0467  0.0475  0.0484  0.04
Hatto 1997   47  0.4558  0.0051  0.0652  0.0649  0.0575  0.05
Horowitz 1949   81  0.3056  0.0076  0.0473  0.0430  0.2764  0.10
Indjic 1988   51  0.4482  0.0058  0.0554  0.0555  0.0574  0.05
Kapell 1951   16  0.555  0.0211  0.1411  0.5023  0.5113  0.50
Kissin 1993   13  0.5730  0.0014  0.0614  0.4814  0.589  0.53
Kushner 1989   15  0.5546  0.0015  0.0815  0.4637  0.3225  0.38
Luisada 1991   36  0.4875  0.0056  0.0559  0.0532  0.2659  0.11
Lushtak 2004   56  0.4389  0.0038  0.0637  0.1946  0.0757  0.12
Malcuzynski 1961   49  0.4583  0.0045  0.0545  0.1061  0.0570  0.07
Magaloff 1978   35  0.4820  0.0049  0.0553  0.0544  0.1566  0.09
Magin 1975   26  0.5219  0.0141  0.0638  0.1832  0.3041  0.23
Michalowski 1933   88  0.2172  0.0086  0.0287  0.0263  0.0389  0.02
Milkina 1970   6  0.602  0.045  0.158  0.5526  0.4215  0.48
Mohovich 1999   17  0.5539  0.0013  0.1112  0.4923  0.4816  0.48
Moravec 1969   38  0.4743  0.0047  0.0648  0.0644  0.1465  0.09
Morozova 2008   43  0.4617  0.0129  0.0729  0.2824  0.4030  0.33
Neighaus 1950   73  0.3779  0.0068  0.0463  0.0415  0.4554  0.13
Niedzielski 1931   83  0.2861  0.0084  0.0379  0.0356  0.0580  0.04
Ohlsson 1999   66  0.4064  0.0070  0.0472  0.0462  0.0481  0.04
Osinska 1989   7  0.5923  0.0012  0.187  0.5631  0.4512  0.50
Pachmann 1927   74  0.3736  0.0077  0.0378  0.0320  0.4656  0.12
Paderewski 1930   87  0.2249  0.0072  0.0468  0.0425  0.3361  0.11
Perlemuter 1992   76  0.3647  0.0079  0.0385  0.0341  0.1473  0.06
Pierdomenico 2008   78  0.3559  0.0081  0.0377  0.0347  0.0579  0.04
Poblocka 1999   12  0.576  0.029  0.1313  0.4916  0.5014  0.49
Rabcewiczowa 1932   55  0.4340  0.0028  0.0730  0.2731  0.2837  0.27
Rachmaninoff 1923   50  0.4535  0.0032  0.0833  0.2516  0.4927  0.35
Rangell 2001   68  0.3944  0.0071  0.0469  0.0451  0.0678  0.05
Richter 1976   25  0.5213  0.0133  0.0535  0.2421  0.5128  0.35
Rosen 1989   23  0.5215  0.0143  0.0643  0.1232  0.3142  0.19
Rosenthal 1930   59  0.4221  0.0065  0.0557  0.0527  0.3950  0.14
Rosenthal 1931   53  0.4434  0.0062  0.0465  0.0415  0.4749  0.14
Rosenthal 1931b   75  0.3762  0.0074  0.0382  0.0339  0.2069  0.08
Rosenthal 1931c   58  0.4253  0.0066  0.0647  0.0634  0.2163  0.11
Rosenthal 1931d   60  0.4163  0.0060  0.0470  0.0415  0.5051  0.14
Rossi 2007   63  0.4111  0.0153  0.0558  0.0524  0.3553  0.13
Rubinstein 1939   33  0.499  0.0116  0.0719  0.4216  0.4918  0.45
Rubinstein 1952   8  0.5812  0.016  0.124  0.6220  0.534  0.57
Rubinstein 1966   10  0.577  0.017  0.125  0.6026  0.486  0.54
Schilhawsky 1960   62  0.4166  0.0080  0.0476  0.0449  0.0582  0.04
Shebanova 2002   70  0.3890  0.0075  0.0380  0.0379  0.0488  0.03
Smith 1975   30  0.508  0.0139  0.0641  0.1622  0.4536  0.27
Sokolov 2002   37  0.4873  0.0035  0.0631  0.267  0.5723  0.38
Sztompka 1959   32  0.4941  0.0023  0.1016  0.4517  0.5711  0.51
Tomsic 1995   39  0.4716  0.0146  0.0649  0.0623  0.3548  0.14
Uninsky 1932   42  0.4650  0.0022  0.0825  0.3410  0.6517  0.47
Uninsky 1971   34  0.4814  0.0134  0.0632  0.2530  0.3733  0.30
Wasowski 1980   41  0.4780  0.0048  0.0555  0.0535  0.2955  0.12
Zak 1937   18  0.5474  0.0027  0.0724  0.3520  0.4720  0.41
Zak 1951   27  0.5265  0.0042  0.0739  0.1728  0.3439  0.24
Average   1  0.721  0.691  0.681  0.8625  0.462  0.63
Random 1   89  -0.0176  0.0090  0.0289  0.0232  0.2271  0.07
Random 2   91  -0.0691  0.0091  0.0191  0.0176  0.0390  0.02
Random 3   90  -0.0271  0.0089  0.0290  0.0217  0.3268  0.08

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).