Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.6235  0.009  0.128  0.5741  0.1513  0.29
Anderszewski 2003   45  0.5178  0.0065  0.0375  0.0374  0.0386  0.03
Ashkenazy 1981   37  0.5265  0.0049  0.0647  0.0651  0.0656  0.06
Bacha 2000   82  0.4071  0.0081  0.0469  0.0473  0.0379  0.03
Badura 1965   55  0.4979  0.0059  0.0461  0.0467  0.0470  0.04
Barbosa 1983   68  0.4489  0.0055  0.0462  0.0471  0.0467  0.04
Biret 1990   10  0.6024  0.007  0.106  0.5826  0.336  0.44
Blet 2003   35  0.5328  0.0040  0.0734  0.2117  0.3912  0.29
Block 1995   75  0.4347  0.0061  0.0379  0.0354  0.0571  0.04
Blumental 1952   41  0.5111  0.0126  0.0636  0.2050  0.0539  0.10
Boshniakovich 1969   27  0.5432  0.0031  0.0527  0.3267  0.0437  0.11
Brailowsky 1960   70  0.4433  0.0082  0.0464  0.0462  0.0562  0.04
Bunin 1987   66  0.4566  0.0070  0.0468  0.0440  0.2046  0.09
Bunin 1987b   73  0.4358  0.0071  0.0649  0.0639  0.2331  0.12
Chiu 1999   33  0.5351  0.0053  0.0457  0.0482  0.0381  0.03
Cohen 1997   72  0.4474  0.0069  0.0376  0.0330  0.2250  0.08
Cortot 1951   78  0.4064  0.0074  0.0383  0.0357  0.0575  0.04
Csalog 1996   59  0.4734  0.0037  0.0635  0.2131  0.2416  0.22
Czerny 1949   46  0.5122  0.0154  0.0460  0.0477  0.0387  0.03
Czerny 1990   28  0.5461  0.0051  0.0555  0.0573  0.0472  0.04
Duchoud 2007   80  0.4072  0.0075  0.0466  0.0460  0.0569  0.04
Ezaki 2006   47  0.5082  0.0068  0.0463  0.0484  0.0378  0.03
Falvay 1989   24  0.563  0.0548  0.0846  0.0840  0.2127  0.13
Farrell 1958   49  0.5041  0.0043  0.0543  0.1362  0.0644  0.09
Ferenczy 1958   43  0.5130  0.0038  0.0642  0.1534  0.2717  0.20
Fliere 1977   8  0.6126  0.008  0.145  0.5968  0.0423  0.15
Fou 1978   7  0.6116  0.0113  0.0914  0.4953  0.0519  0.16
Francois 1956   15  0.578  0.0215  0.1113  0.514  0.631  0.57
Friedman 1923   69  0.4481  0.0077  0.0373  0.0352  0.0677  0.04
Friedman 1923b   74  0.4336  0.0078  0.0459  0.0452  0.0661  0.05
Friedman 1930   56  0.4942  0.0066  0.0377  0.0358  0.0568  0.04
Garcia 2007   20  0.579  0.0112  0.0912  0.5212  0.522  0.52
Garcia 2007b   17  0.5727  0.0010  0.0810  0.5419  0.484  0.51
Gierzod 1998   13  0.5849  0.0022  0.0818  0.4566  0.0430  0.13
Gornostaeva 1994   36  0.5210  0.0130  0.0638  0.1751  0.0451  0.08
Groot 1988   53  0.4940  0.0042  0.0540  0.1749  0.0640  0.10
Harasiewicz 1955   12  0.5975  0.0033  0.0628  0.3162  0.0533  0.12
Hatto 1993   40  0.5253  0.0036  0.0930  0.2961  0.0532  0.12
Hatto 1997   34  0.5383  0.0032  0.0629  0.3068  0.0436  0.11
Horowitz 1949   54  0.4967  0.0067  0.0374  0.0350  0.0758  0.05
Indjic 1988   31  0.5337  0.0035  0.0531  0.2976  0.0345  0.09
Kapell 1951   30  0.5344  0.0023  0.0625  0.3481  0.0338  0.10
Kissin 1993   11  0.6054  0.0018  0.0921  0.4250  0.0621  0.16
Kushner 1989   5  0.627  0.024  0.139  0.5737  0.259  0.38
Luisada 1991   14  0.5746  0.0027  0.0623  0.3750  0.0622  0.15
Lushtak 2004   26  0.554  0.0217  0.1322  0.4136  0.2210  0.30
Malcuzynski 1961   81  0.4013  0.0129  0.0641  0.1567  0.0449  0.08
Magaloff 1978   76  0.4280  0.0079  0.0381  0.0372  0.0482  0.03
Magin 1975   44  0.5129  0.0041  0.0639  0.1747  0.0543  0.09
Michalowski 1933   77  0.4139  0.0072  0.0382  0.0361  0.0566  0.04
Milkina 1970   18  0.5750  0.0024  0.0724  0.3567  0.0528  0.13
Mohovich 1999   42  0.5152  0.0045  0.0545  0.1074  0.0454  0.06
Moravec 1969   67  0.4462  0.0080  0.0372  0.0362  0.0480  0.03
Morozova 2008   32  0.5338  0.0047  0.0648  0.0673  0.0459  0.05
Neighaus 1950   29  0.5421  0.0139  0.0833  0.2251  0.0541  0.10
Niedzielski 1931   79  0.4048  0.0056  0.0552  0.0556  0.0557  0.05
Ohlsson 1999   38  0.5225  0.0016  0.0920  0.4468  0.0429  0.13
Osinska 1989   2  0.636  0.023  0.133  0.6234  0.257  0.39
Pachmann 1927   62  0.4656  0.0083  0.0458  0.0451  0.0565  0.04
Paderewski 1930   52  0.4920  0.0157  0.0553  0.0524  0.3725  0.14
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   65  0.4559  0.0060  0.0467  0.0434  0.2834  0.11
Poblocka 1999   60  0.4776  0.0050  0.0554  0.0567  0.0463  0.04
Rabcewiczowa 1932   21  0.565  0.0211  0.0911  0.5222  0.308  0.39
Rachmaninoff 1923   63  0.4618  0.0125  0.0637  0.1976  0.0442  0.09
Rangell 2001   83  0.3973  0.0064  0.0380  0.0350  0.0573  0.04
Richter 1976   71  0.4486  0.0073  0.0386  0.0374  0.0484  0.03
Rosen 1989   25  0.5517  0.0114  0.0919  0.4441  0.1614  0.27
Rosenthal 1930   85  0.3457  0.0085  0.0470  0.0487  0.0288  0.03
Rosenthal 1931   86  0.3331  0.0088  0.0465  0.0472  0.0385  0.03
Rosenthal 1931b   84  0.3490  0.0084  0.0384  0.0353  0.0576  0.04
Rosenthal 1931c   88  0.3187  0.0086  0.0385  0.0365  0.0489  0.03
Rosenthal 1931d   87  0.3384  0.0087  0.0387  0.0348  0.0574  0.04
Rossi 2007   51  0.5055  0.0062  0.0378  0.0341  0.1852  0.07
Rubinstein 1939   58  0.4791  0.0076  0.0388  0.0383  0.0383  0.03
Rubinstein 1952   48  0.5015  0.0146  0.0550  0.0543  0.1547  0.09
Rubinstein 1966   19  0.5719  0.0128  0.0632  0.2468  0.0535  0.11
Schilhawsky 1960   22  0.5614  0.0120  0.0716  0.4642  0.1215  0.23
Shebanova 2002   6  0.612  0.172  0.342  0.6526  0.345  0.47
Smith 1975   57  0.4877  0.0058  0.0551  0.0564  0.0464  0.04
Sokolov 2002   61  0.4745  0.0044  0.0644  0.1252  0.0548  0.08
Sztompka 1959   9  0.6012  0.015  0.097  0.5843  0.1511  0.29
Tomsic 1995   64  0.4668  0.0063  0.0471  0.0444  0.1253  0.07
Uninsky 1932   50  0.5070  0.0052  0.0556  0.0553  0.0560  0.05
Uninsky 1971   39  0.5288  0.0034  0.0726  0.3258  0.0626  0.14
Wasowski 1980   3  0.6323  0.016  0.124  0.6124  0.433  0.51
Zak 1937   16  0.5769  0.0021  0.0817  0.4556  0.0620  0.16
Zak 1951   23  0.5663  0.0019  0.0715  0.4665  0.0524  0.15
Average   1  0.701  0.451  0.451  0.7558  0.0518  0.19
Random 1   91  -0.1085  0.0091  0.0191  0.0177  0.0291  0.01
Random 2   89  -0.0743  0.0090  0.0190  0.0164  0.0490  0.02
Random 3   90  -0.0960  0.0089  0.0289  0.0231  0.1955  0.06

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).