Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   29  0.3863  0.0038  0.0636  0.2444  0.1115  0.16
Anderszewski 2003   70  0.2579  0.0075  0.0469  0.0486  0.0274  0.03
Ashkenazy 1981   44  0.3576  0.0053  0.0460  0.0448  0.0655  0.05
Bacha 2000   86  0.1760  0.0087  0.0288  0.0286  0.0281  0.02
Badura 1965   65  0.2880  0.0056  0.0458  0.0474  0.0377  0.03
Barbosa 1983   63  0.2939  0.0062  0.0463  0.0485  0.0373  0.03
Biret 1990   20  0.4071  0.0012  0.107  0.5059  0.0516  0.16
Blet 2003   42  0.3615  0.0136  0.0831  0.2757  0.0530  0.12
Block 1995   84  0.1826  0.0167  0.0457  0.0473  0.0464  0.04
Blumental 1952   72  0.2421  0.0165  0.0552  0.0586  0.0365  0.04
Boshniakovich 1969   25  0.3837  0.0027  0.0924  0.3783  0.0333  0.11
Brailowsky 1960   67  0.2653  0.0070  0.0376  0.0348  0.0751  0.05
Bunin 1987   21  0.3934  0.0026  0.1026  0.3532  0.1910  0.26
Bunin 1987b   28  0.3831  0.0028  0.0928  0.3234  0.238  0.27
Chiu 1999   51  0.3332  0.0048  0.0555  0.0558  0.0552  0.05
Cohen 1997   55  0.3191  0.0042  0.0642  0.1443  0.0834  0.11
Cortot 1951   88  0.1087  0.0088  0.0287  0.0289  0.0289  0.02
Csalog 1996   22  0.3944  0.0024  0.0723  0.3867  0.0429  0.12
Czerny 1949   48  0.3325  0.0173  0.0470  0.0482  0.0376  0.03
Czerny 1990   50  0.3385  0.0059  0.0553  0.0588  0.0278  0.03
Duchoud 2007   81  0.2272  0.0077  0.0378  0.0363  0.0563  0.04
Ezaki 2006   64  0.2930  0.0168  0.0467  0.0476  0.0457  0.04
Falvay 1989   3  0.4511  0.028  0.126  0.5355  0.0513  0.16
Farrell 1958   66  0.2761  0.0069  0.0373  0.0380  0.0471  0.03
Ferenczy 1958   54  0.3222  0.0145  0.0545  0.1045  0.1137  0.10
Fliere 1977   10  0.437  0.036  0.115  0.5761  0.0512  0.17
Fou 1978   39  0.3610  0.0240  0.0741  0.1485  0.0350  0.06
Francois 1956   8  0.441  0.231  0.232  0.603  0.581  0.59
Friedman 1923   73  0.2458  0.0060  0.0471  0.0456  0.0569  0.04
Friedman 1923b   80  0.2313  0.0161  0.0462  0.0453  0.0566  0.04
Friedman 1930   32  0.3724  0.019  0.098  0.5015  0.482  0.49
Garcia 2007   33  0.3747  0.0034  0.0629  0.3233  0.306  0.31
Garcia 2007b   17  0.4048  0.0025  0.0815  0.4237  0.237  0.31
Gierzod 1998   5  0.4551  0.0021  0.0721  0.4081  0.0332  0.11
Gornostaeva 1994   11  0.4377  0.0022  0.0716  0.4264  0.0425  0.13
Groot 1988   68  0.2655  0.0066  0.0466  0.0475  0.0468  0.04
Harasiewicz 1955   19  0.4073  0.0035  0.0734  0.2575  0.0439  0.10
Hatto 1993   47  0.3438  0.0019  0.0818  0.4263  0.0426  0.13
Hatto 1997   46  0.3454  0.0018  0.0613  0.4348  0.0518  0.15
Horowitz 1949   52  0.3328  0.0154  0.0468  0.0441  0.1447  0.07
Indjic 1988   45  0.3552  0.0020  0.0819  0.4154  0.0521  0.14
Kapell 1951   38  0.3646  0.0052  0.0650  0.0680  0.0362  0.04
Kissin 1993   43  0.3662  0.0046  0.0647  0.0669  0.0454  0.05
Kushner 1989   7  0.4516  0.0116  0.0811  0.4551  0.0614  0.16
Luisada 1991   26  0.3819  0.0129  0.0730  0.3060  0.0431  0.11
Lushtak 2004   58  0.3040  0.0023  0.0735  0.2567  0.0438  0.10
Malcuzynski 1961   60  0.3036  0.0050  0.0649  0.0686  0.0272  0.03
Magaloff 1978   71  0.2568  0.0074  0.0375  0.0388  0.0283  0.02
Magin 1975   4  0.4517  0.0114  0.1012  0.4540  0.159  0.26
Michalowski 1933   79  0.2314  0.0179  0.0381  0.0332  0.2143  0.08
Milkina 1970   9  0.4341  0.0015  0.0914  0.4362  0.0517  0.15
Mohovich 1999   40  0.3649  0.0039  0.0937  0.2280  0.0346  0.08
Moravec 1969   30  0.3727  0.0149  0.0648  0.0679  0.0358  0.04
Morozova 2008   57  0.3174  0.0072  0.0374  0.0381  0.0375  0.03
Neighaus 1950   49  0.3320  0.0147  0.0746  0.0763  0.0456  0.05
Niedzielski 1931   85  0.1745  0.0064  0.0464  0.0462  0.0561  0.04
Ohlsson 1999   34  0.3723  0.0117  0.0617  0.4259  0.0520  0.14
Osinska 1989   2  0.484  0.073  0.263  0.5958  0.0611  0.19
Pachmann 1927   56  0.3164  0.0058  0.0459  0.0449  0.0653  0.05
Paderewski 1930   62  0.2933  0.0055  0.0465  0.0436  0.1742  0.08
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   27  0.3869  0.0051  0.0551  0.0543  0.1241  0.08
Poblocka 1999   78  0.2378  0.0086  0.0286  0.0285  0.0282  0.02
Rabcewiczowa 1932   36  0.3712  0.0113  0.0920  0.4162  0.0423  0.13
Rachmaninoff 1923   87  0.1284  0.0085  0.0289  0.0286  0.0284  0.02
Rangell 2001   35  0.3765  0.0044  0.0544  0.1066  0.0548  0.07
Richter 1976   69  0.2589  0.0084  0.0282  0.0283  0.0385  0.02
Rosen 1989   12  0.433  0.114  0.1310  0.4750  0.0519  0.15
Rosenthal 1930   82  0.2167  0.0083  0.0285  0.0280  0.0388  0.02
Rosenthal 1931   76  0.2435  0.0082  0.0284  0.0279  0.0386  0.02
Rosenthal 1931b   74  0.2456  0.0081  0.0377  0.0364  0.0479  0.03
Rosenthal 1931c   83  0.2188  0.0080  0.0379  0.0384  0.0380  0.03
Rosenthal 1931d   75  0.2466  0.0078  0.0380  0.0355  0.0567  0.04
Rossi 2007   13  0.429  0.0211  0.0822  0.4017  0.443  0.42
Rubinstein 1939   59  0.3090  0.0076  0.0554  0.0577  0.0360  0.04
Rubinstein 1952   18  0.406  0.0431  0.0538  0.2287  0.0249  0.07
Rubinstein 1966   15  0.4143  0.0037  0.0633  0.2673  0.0436  0.10
Schilhawsky 1960   37  0.3657  0.0041  0.0640  0.1658  0.0445  0.08
Shebanova 2002   16  0.408  0.025  0.109  0.5038  0.205  0.32
Smith 1975   53  0.3281  0.0057  0.0556  0.0571  0.0459  0.04
Sokolov 2002   61  0.2982  0.0063  0.0461  0.0484  0.0270  0.03
Sztompka 1959   14  0.4150  0.0030  0.0632  0.2758  0.0528  0.12
Tomsic 1995   41  0.365  0.0510  0.0839  0.1951  0.0727  0.12
Uninsky 1932   77  0.2483  0.0071  0.0372  0.0383  0.0287  0.02
Uninsky 1971   31  0.3770  0.0043  0.0543  0.1364  0.0544  0.08
Wasowski 1980   6  0.4518  0.017  0.124  0.5741  0.184  0.32
Zak 1937   23  0.3959  0.0033  0.0727  0.3381  0.0335  0.10
Zak 1951   24  0.3886  0.0032  0.0525  0.3559  0.0524  0.13
Average   1  0.512  0.172  0.261  0.6578  0.0322  0.14
Random 1   91  -0.0775  0.0090  0.0190  0.0182  0.0291  0.01
Random 2   90  -0.0742  0.0091  0.0191  0.0186  0.0290  0.01
Random 3   89  -0.0329  0.0189  0.0283  0.0212  0.3740  0.09

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).