Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.7333  0.0015  0.0810  0.4532  0.2721  0.35
Anderszewski 2003   56  0.5854  0.0033  0.0636  0.1332  0.1737  0.15
Ashkenazy 1981   53  0.5951  0.0049  0.0462  0.0458  0.0479  0.04
Bacha 2000   68  0.5019  0.0174  0.0374  0.0353  0.0673  0.04
Badura 1965   39  0.6158  0.0042  0.0440  0.1134  0.2635  0.17
Barbosa 1983   45  0.6035  0.0055  0.0548  0.0515  0.3643  0.13
Biret 1990   43  0.6182  0.0039  0.0444  0.0851  0.0663  0.07
Blet 2003   5  0.7321  0.017  0.107  0.513  0.543  0.52
Block 1995   33  0.6210  0.0412  0.0927  0.252  0.5115  0.36
Blumental 1952   61  0.5541  0.0059  0.0469  0.0444  0.0969  0.06
Boshniakovich 1969   27  0.6430  0.0045  0.0554  0.0528  0.2647  0.11
Brailowsky 1960   41  0.6137  0.0073  0.0460  0.0460  0.0575  0.04
Bunin 1987   48  0.6044  0.0057  0.0845  0.0824  0.3536  0.17
Bunin 1987b   55  0.5850  0.0056  0.0553  0.0522  0.3841  0.14
Chiu 1999   36  0.6268  0.0050  0.0552  0.0542  0.1354  0.08
Cohen 1997   85  0.3877  0.0079  0.0287  0.0250  0.0586  0.03
Cortot 1951   47  0.6078  0.0060  0.0467  0.0441  0.1558  0.08
Csalog 1996   82  0.4045  0.0065  0.0470  0.0442  0.1067  0.06
Czerny 1949   29  0.6346  0.0053  0.0646  0.0664  0.0571  0.05
Czerny 1990   8  0.7171  0.0019  0.0913  0.4122  0.3116  0.36
Duchoud 2007   65  0.5483  0.0066  0.0464  0.0445  0.0672  0.05
Ezaki 2006   10  0.7175  0.0027  0.0725  0.2636  0.1732  0.21
Falvay 1989   18  0.677  0.0538  0.0632  0.1624  0.3829  0.25
Farrell 1958   50  0.596  0.0611  0.0926  0.2610  0.4123  0.33
Ferenczy 1958   32  0.6242  0.0047  0.0647  0.0616  0.3242  0.14
Fliere 1977   11  0.7011  0.048  0.124  0.5235  0.2417  0.35
Fou 1978   6  0.7222  0.0114  0.0811  0.4321  0.379  0.40
Francois 1956   19  0.6738  0.0022  0.0822  0.3017  0.4222  0.35
Friedman 1923   86  0.3784  0.0086  0.0375  0.0341  0.1565  0.07
Friedman 1923b   87  0.3787  0.0085  0.0377  0.0340  0.1662  0.07
Friedman 1930   80  0.4359  0.0082  0.0384  0.0378  0.0484  0.03
Garcia 2007   40  0.6123  0.0116  0.0723  0.302  0.647  0.44
Garcia 2007b   76  0.4562  0.0054  0.0549  0.0510  0.3244  0.13
Gierzod 1998   49  0.5967  0.0052  0.0455  0.0480  0.0385  0.03
Gornostaeva 1994   42  0.6118  0.0132  0.0630  0.1733  0.2434  0.20
Groot 1988   7  0.712  0.086  0.106  0.513  0.562  0.53
Harasiewicz 1955   1  0.733  0.082  0.112  0.586  0.474  0.52
Hatto 1993   81  0.4180  0.0083  0.0383  0.0351  0.0680  0.04
Hatto 1997   73  0.4590  0.0078  0.0376  0.0357  0.0578  0.04
Horowitz 1949   57  0.5872  0.0061  0.0468  0.0437  0.2052  0.09
Indjic 1988   78  0.4385  0.0084  0.0458  0.0462  0.0577  0.04
Kapell 1951   52  0.5960  0.0025  0.0924  0.2737  0.1533  0.20
Kissin 1993   9  0.7117  0.0117  0.0718  0.3524  0.3025  0.32
Kushner 1989   13  0.695  0.074  0.128  0.4820  0.436  0.45
Luisada 1991   28  0.6416  0.0131  0.0529  0.1940  0.1139  0.14
Lushtak 2004   4  0.739  0.043  0.143  0.535  0.465  0.49
Malcuzynski 1961   63  0.5479  0.0063  0.0371  0.0371  0.0482  0.03
Magaloff 1978   46  0.6034  0.0034  0.0637  0.1239  0.1640  0.14
Magin 1975   62  0.5520  0.0135  0.0641  0.1042  0.1149  0.10
Michalowski 1933   74  0.4588  0.0062  0.0456  0.0455  0.0670  0.05
Milkina 1970   31  0.6324  0.0140  0.0439  0.1162  0.0561  0.07
Mohovich 1999   2  0.731  0.161  0.161  0.605  0.571  0.58
Moravec 1969   69  0.5074  0.0081  0.0382  0.0377  0.0381  0.03
Morozova 2008   15  0.6828  0.0018  0.0815  0.3816  0.3320  0.35
Neighaus 1950   17  0.678  0.055  0.119  0.4722  0.3211  0.39
Niedzielski 1931   71  0.4852  0.0069  0.0378  0.0333  0.1760  0.07
Ohlsson 1999   64  0.5466  0.0064  0.0372  0.0374  0.0383  0.03
Osinska 1989   24  0.6557  0.0051  0.0457  0.0462  0.0474  0.04
Pachmann 1927   59  0.5640  0.0071  0.0380  0.0327  0.2155  0.08
Paderewski 1930   44  0.6027  0.0058  0.0551  0.0533  0.1753  0.09
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   67  0.5155  0.0067  0.0373  0.0342  0.1366  0.06
Poblocka 1999   51  0.5948  0.0044  0.0443  0.0955  0.0559  0.07
Rabcewiczowa 1932   35  0.6269  0.0030  0.0635  0.1415  0.4130  0.24
Rachmaninoff 1923   21  0.6612  0.039  0.0816  0.3716  0.3813  0.37
Rangell 2001   83  0.3970  0.0080  0.0286  0.0253  0.0487  0.03
Richter 1976   38  0.6215  0.0137  0.0633  0.1616  0.4228  0.26
Rosen 1989   54  0.5865  0.0048  0.0466  0.0437  0.1557  0.08
Rosenthal 1930   70  0.4963  0.0068  0.0381  0.0330  0.2356  0.08
Rosenthal 1931   75  0.4581  0.0075  0.0379  0.0326  0.3150  0.10
Rosenthal 1931b   79  0.4356  0.0076  0.0465  0.0424  0.3248  0.11
Rosenthal 1931c   72  0.4629  0.0070  0.0463  0.0422  0.3545  0.12
Rosenthal 1931d   77  0.4426  0.0077  0.0459  0.0439  0.1364  0.07
Rossi 2007   60  0.5639  0.0072  0.0385  0.0316  0.3746  0.11
Rubinstein 1939   84  0.3961  0.0087  0.0461  0.0456  0.0576  0.04
Rubinstein 1952   66  0.5313  0.0336  0.0631  0.1727  0.3131  0.23
Rubinstein 1966   58  0.574  0.0729  0.0638  0.1138  0.2038  0.15
Schilhawsky 1960   22  0.6614  0.0213  0.0912  0.4131  0.3314  0.37
Shebanova 2002   30  0.6332  0.0043  0.0542  0.1077  0.0468  0.06
Smith 1975   20  0.6725  0.0121  0.0717  0.3619  0.3518  0.35
Sokolov 2002   34  0.6253  0.0020  0.0820  0.3418  0.4112  0.37
Sztompka 1959   16  0.6843  0.0024  0.0914  0.4020  0.4010  0.40
Tomsic 1995   26  0.6476  0.0041  0.0434  0.1515  0.4827  0.27
Uninsky 1932   23  0.6647  0.0028  0.0728  0.2120  0.4326  0.30
Uninsky 1971   25  0.6449  0.0026  0.1121  0.3119  0.3919  0.35
Wasowski 1980   37  0.6264  0.0046  0.0550  0.0529  0.1751  0.09
Zak 1937   14  0.6836  0.0023  0.0819  0.3524  0.3124  0.33
Zak 1951   12  0.7031  0.0010  0.095  0.5218  0.348  0.42
Random 1   88  -0.1189  0.0089  0.0188  0.0151  0.0489  0.02
Random 2   90  -0.1673  0.0088  0.0189  0.0166  0.0388  0.02
Random 3   89  -0.1586  0.0090  0.0190  0.0173  0.0290  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).