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  0.7332  0.0016  0.0811  0.4533  0.2722  0.35
Anderszewski 2003   57  0.5854  0.0034  0.0637  0.1333  0.1738  0.15
Ashkenazy 1981   54  0.5951  0.0050  0.0463  0.0459  0.0480  0.04
Bacha 2000   69  0.5020  0.0175  0.0375  0.0354  0.0674  0.04
Badura 1965   40  0.6157  0.0043  0.0441  0.1135  0.2636  0.17
Barbosa 1983   46  0.6034  0.0056  0.0549  0.0516  0.3643  0.13
Biret 1990   44  0.6183  0.0040  0.0445  0.0852  0.0664  0.07
Blet 2003   6  0.7321  0.018  0.108  0.514  0.543  0.52
Block 1995   34  0.629  0.0213  0.0928  0.253  0.5116  0.36
Blumental 1952   62  0.5539  0.0060  0.0470  0.0445  0.0970  0.06
Boshniakovich 1969   28  0.6430  0.0046  0.0455  0.0429  0.2651  0.10
Brailowsky 1960   42  0.6135  0.0074  0.0461  0.0461  0.0576  0.04
Bunin 1987   49  0.6041  0.0058  0.0846  0.0825  0.3537  0.17
Bunin 1987b   56  0.5850  0.0057  0.0454  0.0423  0.3845  0.12
Chiu 1999   37  0.6270  0.0051  0.0553  0.0543  0.1355  0.08
Cohen 1997   86  0.3878  0.0080  0.0288  0.0251  0.0587  0.03
Cortot 1951   48  0.6079  0.0061  0.0468  0.0442  0.1559  0.08
Csalog 1996   83  0.4042  0.0066  0.0471  0.0443  0.1068  0.06
Czerny 1949   30  0.6343  0.0054  0.0647  0.0665  0.0572  0.05
Czerny 1990   9  0.7172  0.0020  0.0914  0.4123  0.3117  0.36
Duchoud 2007   66  0.5484  0.0067  0.0465  0.0446  0.0673  0.05
Ezaki 2006   11  0.7176  0.0028  0.0726  0.2637  0.1733  0.21
Falvay 1989   19  0.675  0.0539  0.0633  0.1625  0.3830  0.25
Farrell 1958   51  0.596  0.0512  0.0827  0.2611  0.4124  0.33
Ferenczy 1958   33  0.6244  0.0048  0.0648  0.0617  0.3242  0.14
Fliere 1977   12  0.7013  0.019  0.125  0.5236  0.2418  0.35
Fou 1978   7  0.7222  0.0115  0.0712  0.4322  0.3710  0.40
Francois 1956   20  0.6736  0.0023  0.0823  0.3018  0.4223  0.35
Friedman 1923   87  0.3785  0.0087  0.0376  0.0342  0.1566  0.07
Friedman 1923b   88  0.3788  0.0086  0.0378  0.0341  0.1663  0.07
Friedman 1930   81  0.4358  0.0083  0.0385  0.0379  0.0485  0.03
Garcia 2007   41  0.6125  0.0017  0.0724  0.302  0.648  0.44
Garcia 2007b   77  0.4562  0.0055  0.0550  0.0511  0.3244  0.13
Gierzod 1998   50  0.5966  0.0053  0.0456  0.0481  0.0386  0.03
Gornostaeva 1994   43  0.6115  0.0133  0.0631  0.1734  0.2435  0.20
Groot 1988   8  0.7119  0.017  0.107  0.514  0.562  0.53
Harasiewicz 1955   2  0.738  0.033  0.113  0.587  0.474  0.52
Hatto 1993   82  0.4181  0.0084  0.0384  0.0352  0.0681  0.04
Hatto 1997   74  0.4591  0.0079  0.0377  0.0358  0.0579  0.04
Horowitz 1949   58  0.5873  0.0062  0.0469  0.0438  0.2053  0.09
Indjic 1988   79  0.4386  0.0085  0.0459  0.0463  0.0578  0.04
Kapell 1951   53  0.5959  0.0026  0.0925  0.2738  0.1534  0.20
Kissin 1993   10  0.7114  0.0118  0.0719  0.3525  0.3026  0.32
Kushner 1989   14  0.694  0.065  0.129  0.4821  0.437  0.45
Luisada 1991   29  0.6418  0.0132  0.0530  0.1941  0.1140  0.14
Lushtak 2004   5  0.7310  0.024  0.144  0.536  0.465  0.49
Malcuzynski 1961   64  0.5480  0.0064  0.0372  0.0372  0.0483  0.03
Magaloff 1978   47  0.6068  0.0035  0.0638  0.1240  0.1641  0.14
Magin 1975   63  0.5516  0.0136  0.0642  0.1043  0.1149  0.10
Michalowski 1933   75  0.4589  0.0063  0.0457  0.0456  0.0671  0.05
Milkina 1970   32  0.6323  0.0141  0.0440  0.1163  0.0562  0.07
Mohovich 1999   3  0.733  0.062  0.162  0.606  0.571  0.58
Moravec 1969   70  0.5075  0.0082  0.0383  0.0378  0.0382  0.03
Morozova 2008   16  0.6828  0.0019  0.0816  0.3817  0.3321  0.35
Neighaus 1950   18  0.6749  0.006  0.1110  0.4723  0.3212  0.39
Niedzielski 1931   72  0.4852  0.0070  0.0379  0.0334  0.1761  0.07
Ohlsson 1999   65  0.5467  0.0065  0.0373  0.0375  0.0384  0.03
Osinska 1989   25  0.6556  0.0052  0.0458  0.0463  0.0475  0.04
Pachmann 1927   60  0.5638  0.0072  0.0381  0.0328  0.2156  0.08
Paderewski 1930   45  0.6027  0.0059  0.0552  0.0534  0.1754  0.09
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   68  0.5155  0.0068  0.0374  0.0343  0.1367  0.06
Poblocka 1999   52  0.5947  0.0045  0.0444  0.0956  0.0560  0.07
Rabcewiczowa 1932   36  0.6269  0.0031  0.0536  0.1416  0.4131  0.24
Rachmaninoff 1923   22  0.6617  0.0110  0.0817  0.3717  0.3814  0.37
Rangell 2001   84  0.3971  0.0081  0.0287  0.0254  0.0488  0.03
Richter 1976   39  0.6211  0.0138  0.0634  0.1617  0.4229  0.26
Rosen 1989   55  0.5865  0.0049  0.0467  0.0438  0.1558  0.08
Rosenthal 1930   71  0.4963  0.0069  0.0382  0.0331  0.2357  0.08
Rosenthal 1931   76  0.4582  0.0076  0.0380  0.0327  0.3150  0.10
Rosenthal 1931b   80  0.4361  0.0077  0.0466  0.0425  0.3248  0.11
Rosenthal 1931c   73  0.4629  0.0071  0.0464  0.0423  0.3546  0.12
Rosenthal 1931d   78  0.4426  0.0078  0.0460  0.0440  0.1365  0.07
Rossi 2007   61  0.5637  0.0073  0.0386  0.0317  0.3747  0.11
Rubinstein 1939   85  0.3960  0.0088  0.0462  0.0457  0.0577  0.04
Rubinstein 1952   67  0.537  0.0337  0.0632  0.1728  0.3132  0.23
Rubinstein 1966   59  0.572  0.0630  0.0639  0.1139  0.2039  0.15
Schilhawsky 1960   23  0.6612  0.0114  0.0913  0.4132  0.3315  0.37
Shebanova 2002   31  0.6331  0.0044  0.0543  0.1078  0.0469  0.06
Smith 1975   21  0.6724  0.0122  0.0718  0.3620  0.3519  0.35
Sokolov 2002   35  0.6253  0.0021  0.0821  0.3419  0.4113  0.37
Sztompka 1959   17  0.6840  0.0025  0.0915  0.4021  0.4011  0.40
Tomsic 1995   27  0.6477  0.0042  0.0435  0.1516  0.4828  0.27
Uninsky 1932   24  0.6645  0.0029  0.0729  0.2121  0.4327  0.30
Uninsky 1971   26  0.6448  0.0027  0.1122  0.3120  0.3920  0.35
Wasowski 1980   38  0.6264  0.0047  0.0551  0.0530  0.1752  0.09
Zak 1937   15  0.6833  0.0024  0.0820  0.3525  0.3125  0.33
Zak 1951   13  0.7046  0.0011  0.096  0.5219  0.349  0.42
Average   1  0.801  0.421  0.421  0.7227  0.326  0.48
Random 1   89  -0.1190  0.0090  0.0189  0.0151  0.0490  0.02
Random 2   91  -0.1674  0.0089  0.0190  0.0167  0.0389  0.02
Random 3   90  -0.1587  0.0091  0.0191  0.0174  0.0291  0.01

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).