Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   43  0.4645  0.0054  0.0745  0.0717  0.4244  0.17
Anderszewski 2003   19  0.5348  0.0019  0.0917  0.4427  0.4418  0.44
Ashkenazy 1981   21  0.5317  0.0143  0.0741  0.133  0.5737  0.27
Bacha 2000   63  0.4054  0.0051  0.0560  0.0526  0.3251  0.13
Badura 1965   56  0.4267  0.0062  0.0463  0.0427  0.2862  0.11
Barbosa 1983   13  0.5627  0.0120  0.0922  0.3932  0.2928  0.34
Biret 1990   20  0.5316  0.0116  0.0719  0.4128  0.3625  0.38
Blet 2003   39  0.4749  0.0049  0.0649  0.067  0.4743  0.17
Block 1995   27  0.5136  0.0018  0.0816  0.446  0.667  0.54
Blumental 1952   18  0.5434  0.0024  0.0726  0.3223  0.4721  0.39
Boshniakovich 1969   30  0.5019  0.0123  0.1020  0.4030  0.2730  0.33
Brailowsky 1960   23  0.528  0.0229  0.0725  0.3322  0.4920  0.40
Bunin 1987   85  0.2484  0.0086  0.0287  0.0287  0.0290  0.02
Bunin 1987b   84  0.2586  0.0087  0.0382  0.0382  0.0385  0.03
Chiu 1999   60  0.4132  0.0060  0.0561  0.0528  0.2560  0.11
Cohen 1997   79  0.3469  0.0081  0.0555  0.0549  0.0576  0.05
Cortot 1951   76  0.3685  0.0068  0.0380  0.0321  0.4557  0.12
Csalog 1996   45  0.4614  0.0130  0.0827  0.2820  0.3531  0.31
Czerny 1949   44  0.4676  0.0025  0.0735  0.2236  0.3534  0.28
Czerny 1990   10  0.5723  0.017  0.129  0.5226  0.584  0.55
Duchoud 2007   81  0.2981  0.0084  0.0474  0.0446  0.0775  0.05
Ezaki 2006   4  0.6012  0.019  0.128  0.5423  0.499  0.51
Falvay 1989   8  0.5850  0.0017  0.0821  0.4037  0.3623  0.38
Farrell 1958   64  0.4087  0.0053  0.0650  0.0644  0.1466  0.09
Ferenczy 1958   47  0.4535  0.0039  0.0643  0.1118  0.5239  0.24
Fliere 1977   3  0.624  0.063  0.242  0.659  0.562  0.60
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   68  0.3965  0.0072  0.0470  0.0442  0.1470  0.07
Friedman 1923   71  0.3777  0.0063  0.0559  0.0518  0.4945  0.16
Friedman 1923b   66  0.3959  0.0058  0.0465  0.0413  0.5346  0.15
Friedman 1930   83  0.2878  0.0082  0.0383  0.0369  0.0486  0.03
Garcia 2007   78  0.3452  0.0077  0.0385  0.0359  0.0582  0.04
Garcia 2007b   70  0.3768  0.0066  0.0473  0.0454  0.0584  0.04
Gierzod 1998   2  0.623  0.092  0.185  0.5718  0.516  0.54
Gornostaeva 1994   28  0.5131  0.0035  0.0633  0.2429  0.3633  0.29
Groot 1988   51  0.4443  0.0036  0.0539  0.1730  0.2142  0.19
Harasiewicz 1955   1  0.631  0.351  0.341  0.707  0.661  0.68
Hatto 1993   53  0.4456  0.0056  0.0466  0.0474  0.0483  0.04
Hatto 1997   46  0.4557  0.0050  0.0651  0.0648  0.0574  0.05
Horowitz 1949   80  0.3055  0.0075  0.0472  0.0429  0.2763  0.10
Indjic 1988   50  0.4482  0.0057  0.0553  0.0554  0.0573  0.05
Kapell 1951   15  0.557  0.0410  0.1410  0.5022  0.5112  0.50
Kissin 1993   12  0.5737  0.0013  0.0613  0.4813  0.588  0.53
Kushner 1989   14  0.5544  0.0014  0.0814  0.4636  0.3224  0.38
Luisada 1991   35  0.4874  0.0055  0.0558  0.0531  0.2659  0.11
Lushtak 2004   55  0.4388  0.0037  0.0636  0.1945  0.0756  0.12
Malcuzynski 1961   48  0.4583  0.0044  0.0544  0.1060  0.0569  0.07
Magaloff 1978   34  0.4829  0.0048  0.0552  0.0543  0.1565  0.09
Magin 1975   25  0.5228  0.0140  0.0637  0.1831  0.3040  0.23
Michalowski 1933   87  0.2171  0.0085  0.0286  0.0262  0.0388  0.02
Milkina 1970   5  0.602  0.104  0.157  0.5525  0.4214  0.48
Mohovich 1999   16  0.5533  0.0012  0.1111  0.4922  0.4815  0.48
Moravec 1969   37  0.4720  0.0146  0.0647  0.0643  0.1464  0.09
Morozova 2008   42  0.4626  0.0128  0.0728  0.2823  0.4029  0.33
Neighaus 1950   72  0.3779  0.0067  0.0462  0.0414  0.4553  0.13
Niedzielski 1931   82  0.2860  0.0083  0.0378  0.0355  0.0579  0.04
Ohlsson 1999   65  0.4063  0.0069  0.0471  0.0461  0.0580  0.04
Osinska 1989   6  0.5925  0.0111  0.186  0.5630  0.4511  0.50
Pachmann 1927   73  0.3741  0.0076  0.0377  0.0319  0.4655  0.12
Paderewski 1930   86  0.2246  0.0071  0.0467  0.0424  0.3361  0.11
Perlemuter 1992   75  0.3651  0.0078  0.0384  0.0340  0.1471  0.06
Pierdomenico 2008   77  0.3558  0.0080  0.0476  0.0446  0.0578  0.04
Poblocka 1999   11  0.575  0.058  0.1312  0.4915  0.5013  0.49
Rabcewiczowa 1932   54  0.4342  0.0027  0.0729  0.2730  0.2836  0.27
Rachmaninoff 1923   49  0.4539  0.0031  0.0932  0.2515  0.4926  0.35
Rangell 2001   67  0.3947  0.0070  0.0468  0.0450  0.0677  0.05
Richter 1976   24  0.5224  0.0132  0.0634  0.2420  0.5127  0.35
Rosen 1989   22  0.5221  0.0142  0.0642  0.1231  0.3141  0.19
Rosenthal 1930   58  0.4230  0.0064  0.0556  0.0526  0.3949  0.14
Rosenthal 1931   52  0.4438  0.0061  0.0464  0.0414  0.4748  0.14
Rosenthal 1931b   74  0.3761  0.0073  0.0381  0.0338  0.2068  0.08
Rosenthal 1931c   57  0.4253  0.0065  0.0746  0.0733  0.2158  0.12
Rosenthal 1931d   59  0.4162  0.0059  0.0469  0.0414  0.5050  0.14
Rossi 2007   62  0.4111  0.0152  0.0557  0.0523  0.3552  0.13
Rubinstein 1939   32  0.4913  0.0115  0.0718  0.4215  0.4917  0.45
Rubinstein 1952   7  0.589  0.015  0.133  0.6219  0.533  0.57
Rubinstein 1966   9  0.576  0.046  0.134  0.6025  0.485  0.54
Schilhawsky 1960   61  0.4166  0.0079  0.0475  0.0448  0.0581  0.04
Shebanova 2002   69  0.3889  0.0074  0.0379  0.0378  0.0487  0.03
Smith 1975   29  0.5010  0.0138  0.0640  0.1621  0.4535  0.27
Sokolov 2002   36  0.4872  0.0034  0.0630  0.266  0.5722  0.38
Sztompka 1959   31  0.4918  0.0122  0.1015  0.4516  0.5710  0.51
Tomsic 1995   38  0.4715  0.0145  0.0648  0.0622  0.3547  0.14
Uninsky 1932   41  0.4640  0.0021  0.0824  0.349  0.6516  0.47
Uninsky 1971   33  0.4822  0.0133  0.0631  0.2529  0.3732  0.30
Wasowski 1980   40  0.4780  0.0047  0.0554  0.0534  0.2954  0.12
Zak 1937   17  0.5473  0.0026  0.0723  0.3519  0.4719  0.41
Zak 1951   26  0.5264  0.0041  0.0738  0.1727  0.3438  0.24
Random 1   88  -0.0175  0.0089  0.0288  0.0232  0.2172  0.06
Random 2   90  -0.0690  0.0090  0.0190  0.0175  0.0389  0.02
Random 3   89  -0.0270  0.0088  0.0289  0.0217  0.3167  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).