Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.6812  0.0127  0.0621  0.3831  0.3029  0.34
Anderszewski 2003   63  0.5188  0.0074  0.0557  0.0580  0.0374  0.04
Ashkenazy 1981   25  0.665  0.0231  0.0732  0.2435  0.2138  0.22
Bacha 2000   31  0.6431  0.0037  0.0538  0.139  0.4534  0.24
Badura 1965   46  0.5735  0.0047  0.0550  0.0531  0.3250  0.13
Barbosa 1983   64  0.5166  0.0038  0.0442  0.1120  0.3043  0.18
Biret 1990   26  0.6658  0.0034  0.0729  0.3028  0.2732  0.28
Blet 2003   32  0.6464  0.0040  0.0636  0.1617  0.3535  0.24
Block 1995   41  0.5941  0.0043  0.0439  0.1216  0.3539  0.20
Blumental 1952   69  0.4924  0.0068  0.0473  0.0470  0.0389  0.03
Boshniakovich 1969   21  0.6640  0.008  0.1214  0.4113  0.5310  0.47
Brailowsky 1960   24  0.6630  0.0041  0.0440  0.1214  0.4336  0.23
Bunin 1987   75  0.4877  0.0082  0.0466  0.0467  0.0479  0.04
Bunin 1987b   77  0.4755  0.0081  0.0468  0.0466  0.0470  0.04
Chiu 1999   28  0.6557  0.0029  0.0630  0.2713  0.4823  0.36
Cohen 1997   59  0.5378  0.0063  0.0477  0.044  0.5148  0.14
Cortot 1951   80  0.4565  0.0084  0.0479  0.0474  0.0481  0.04
Csalog 1996   72  0.4829  0.0053  0.0467  0.0422  0.3551  0.12
Czerny 1949   76  0.4786  0.0071  0.0480  0.0461  0.0576  0.04
Czerny 1990   40  0.5943  0.0046  0.0552  0.0544  0.0962  0.07
Duchoud 2007   61  0.5238  0.0070  0.0381  0.0355  0.0577  0.04
Ezaki 2006   11  0.7010  0.0120  0.0926  0.3231  0.2931  0.30
Falvay 1989   4  0.737  0.0215  0.0919  0.384  0.647  0.49
Farrell 1958   34  0.6270  0.0048  0.0554  0.0521  0.2653  0.11
Ferenczy 1958   71  0.4859  0.0083  0.0475  0.0485  0.0387  0.03
Fliere 1977   5  0.722  0.193  0.274  0.656  0.543  0.59
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   38  0.6023  0.0019  0.0725  0.3317  0.4321  0.38
Friedman 1923   88  0.2683  0.0088  0.0386  0.0374  0.0583  0.04
Friedman 1923b   87  0.2689  0.0087  0.0388  0.0371  0.0580  0.04
Friedman 1930   85  0.3476  0.0086  0.0558  0.0547  0.0763  0.06
Garcia 2007   55  0.5387  0.0065  0.0556  0.0557  0.0565  0.05
Garcia 2007b   78  0.4671  0.0067  0.0472  0.0451  0.0582  0.04
Gierzod 1998   44  0.5834  0.0032  0.0735  0.1641  0.1546  0.15
Gornostaeva 1994   35  0.6142  0.0022  0.0624  0.3312  0.5018  0.41
Groot 1988   15  0.6845  0.0023  0.0916  0.406  0.5511  0.47
Harasiewicz 1955   29  0.6511  0.019  0.1011  0.4430  0.2828  0.35
Hatto 1993   67  0.5084  0.0051  0.0465  0.0426  0.2256  0.09
Hatto 1997   58  0.5372  0.0049  0.0463  0.0433  0.1759  0.08
Horowitz 1949   39  0.6032  0.0044  0.0544  0.0927  0.3842  0.18
Indjic 1988   62  0.5263  0.0050  0.0649  0.0629  0.2054  0.11
Kapell 1951   68  0.5051  0.0072  0.0471  0.0483  0.0386  0.03
Kissin 1993   1  0.791  0.261  0.262  0.665  0.691  0.67
Kushner 1989   14  0.6928  0.005  0.115  0.5211  0.486  0.50
Luisada 1991   13  0.6944  0.0017  0.0813  0.4220  0.4415  0.43
Lushtak 2004   10  0.7013  0.0125  0.1023  0.3618  0.3426  0.35
Malcuzynski 1961   42  0.5933  0.0055  0.0460  0.0433  0.1758  0.08
Magaloff 1978   30  0.6575  0.0026  0.0628  0.3014  0.4225  0.35
Magin 1975   37  0.608  0.0230  0.0731  0.2520  0.3033  0.27
Michalowski 1933   86  0.3261  0.0085  0.0470  0.0468  0.0472  0.04
Milkina 1970   3  0.764  0.132  0.273  0.653  0.642  0.64
Mohovich 1999   6  0.7267  0.006  0.1010  0.4512  0.529  0.48
Moravec 1969   73  0.4873  0.0077  0.0478  0.0467  0.0384  0.03
Morozova 2008   18  0.6880  0.0014  0.0917  0.3913  0.3424  0.36
Neighaus 1950   22  0.6649  0.0024  0.0920  0.3822  0.3227  0.35
Niedzielski 1931   84  0.3582  0.0078  0.0382  0.0370  0.0385  0.03
Ohlsson 1999   45  0.5747  0.0039  0.0537  0.1441  0.1447  0.14
Osinska 1989   33  0.6414  0.0118  0.0818  0.3924  0.3522  0.37
Pachmann 1927   27  0.6652  0.0033  0.0633  0.211  0.6720  0.38
Paderewski 1930   43  0.5874  0.0054  0.0476  0.0431  0.1955  0.09
Perlemuter 1992   7  0.7256  0.0012  0.0922  0.3712  0.4319  0.40
Pierdomenico 2008   49  0.5690  0.0045  0.0445  0.0812  0.4540  0.19
Poblocka 1999   50  0.5516  0.0161  0.0462  0.0454  0.0567  0.04
Rabcewiczowa 1932   57  0.5322  0.0052  0.0555  0.0541  0.1357  0.08
Rachmaninoff 1923   47  0.5718  0.0056  0.0464  0.0462  0.0469  0.04
Rangell 2001   53  0.5426  0.0035  0.0634  0.195  0.5030  0.31
Richter 1976   56  0.5362  0.0064  0.0469  0.0440  0.1361  0.07
Rosen 1989   8  0.7015  0.0113  0.088  0.4914  0.498  0.49
Rosenthal 1930   81  0.4520  0.0075  0.0474  0.0453  0.0578  0.04
Rosenthal 1931   66  0.5021  0.0057  0.0553  0.0513  0.5145  0.16
Rosenthal 1931b   65  0.519  0.0158  0.0747  0.0714  0.4744  0.18
Rosenthal 1931c   74  0.4846  0.0060  0.0648  0.0626  0.3149  0.14
Rosenthal 1931d   60  0.5317  0.0159  0.0746  0.0711  0.4941  0.19
Rossi 2007   82  0.4479  0.0066  0.0383  0.0336  0.1860  0.07
Rubinstein 1939   54  0.5425  0.0036  0.0543  0.114  0.5037  0.23
Rubinstein 1952   23  0.666  0.027  0.109  0.474  0.625  0.54
Rubinstein 1966   19  0.6837  0.0011  0.106  0.515  0.654  0.58
Schilhawsky 1960   70  0.4969  0.0076  0.0551  0.0577  0.0375  0.04
Shebanova 2002   16  0.6850  0.0021  0.0715  0.4115  0.4714  0.44
Smith 1975   36  0.6036  0.0042  0.0541  0.1143  0.1152  0.11
Sokolov 2002   52  0.5460  0.0073  0.0461  0.0456  0.0468  0.04
Sztompka 1959   48  0.5654  0.0069  0.0384  0.0367  0.0571  0.04
Tomsic 1995   20  0.6753  0.0028  0.0727  0.309  0.6017  0.42
Uninsky 1932   79  0.4568  0.0080  0.0385  0.0371  0.0488  0.03
Uninsky 1971   83  0.4319  0.0079  0.0387  0.0372  0.0573  0.04
Wasowski 1980   51  0.5439  0.0062  0.0559  0.0556  0.0564  0.05
Zak 1937   12  0.7048  0.0016  0.1012  0.4218  0.4216  0.42
Zak 1951   9  0.7027  0.0010  0.107  0.5016  0.4212  0.46
Average   2  0.783  0.154  0.371  0.6629  0.3113  0.45
Random 1   91  -0.1281  0.0091  0.0191  0.0128  0.2966  0.05
Random 2   90  -0.1285  0.0089  0.0189  0.0164  0.0391  0.02
Random 3   89  -0.0391  0.0090  0.0190  0.0140  0.1190  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).