Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.3862  0.0037  0.0735  0.2443  0.1115  0.16
Anderszewski 2003   69  0.2578  0.0074  0.0468  0.0485  0.0274  0.03
Ashkenazy 1981   43  0.3575  0.0052  0.0459  0.0447  0.0654  0.05
Bacha 2000   85  0.1759  0.0086  0.0287  0.0285  0.0281  0.02
Badura 1965   64  0.2879  0.0055  0.0557  0.0573  0.0364  0.04
Barbosa 1983   62  0.2938  0.0061  0.0462  0.0484  0.0373  0.03
Biret 1990   19  0.4070  0.0011  0.106  0.5058  0.0516  0.16
Blet 2003   41  0.3616  0.0135  0.0830  0.2756  0.0529  0.12
Block 1995   83  0.1825  0.0166  0.0556  0.0572  0.0465  0.04
Blumental 1952   71  0.2420  0.0164  0.0551  0.0585  0.0366  0.04
Boshniakovich 1969   24  0.3836  0.0026  0.0923  0.3782  0.0332  0.11
Brailowsky 1960   66  0.2652  0.0069  0.0375  0.0347  0.0750  0.05
Bunin 1987   20  0.3933  0.0025  0.1025  0.3531  0.1910  0.26
Bunin 1987b   27  0.3830  0.0027  0.0927  0.3233  0.238  0.27
Chiu 1999   50  0.3331  0.0047  0.0554  0.0557  0.0551  0.05
Cohen 1997   54  0.3190  0.0041  0.0741  0.1442  0.0833  0.11
Cortot 1951   87  0.1086  0.0087  0.0286  0.0288  0.0288  0.02
Csalog 1996   21  0.3944  0.0023  0.0722  0.3866  0.0428  0.12
Czerny 1949   47  0.3324  0.0172  0.0469  0.0481  0.0377  0.03
Czerny 1990   49  0.3384  0.0058  0.0552  0.0587  0.0278  0.03
Duchoud 2007   80  0.2271  0.0076  0.0377  0.0362  0.0563  0.04
Ezaki 2006   63  0.2929  0.0167  0.0466  0.0475  0.0457  0.04
Falvay 1989   2  0.4510  0.027  0.125  0.5354  0.0513  0.16
Farrell 1958   65  0.2760  0.0068  0.0372  0.0379  0.0471  0.03
Ferenczy 1958   53  0.3221  0.0144  0.0544  0.1044  0.1136  0.10
Fliere 1977   9  0.437  0.035  0.114  0.5760  0.0512  0.17
Fou 1978   38  0.369  0.0239  0.0740  0.1484  0.0349  0.06
Francois 1956   7  0.441  0.251  0.251  0.602  0.581  0.59
Friedman 1923   72  0.2457  0.0059  0.0470  0.0455  0.0569  0.04
Friedman 1923b   79  0.2314  0.0160  0.0461  0.0452  0.0655  0.05
Friedman 1930   31  0.3722  0.018  0.097  0.5014  0.482  0.49
Garcia 2007   32  0.3747  0.0033  0.0628  0.3232  0.306  0.31
Garcia 2007b   16  0.4048  0.0024  0.0814  0.4236  0.237  0.31
Gierzod 1998   4  0.4539  0.0020  0.0720  0.4080  0.0331  0.11
Gornostaeva 1994   10  0.4376  0.0021  0.0715  0.4263  0.0424  0.13
Groot 1988   67  0.2654  0.0065  0.0465  0.0474  0.0468  0.04
Harasiewicz 1955   18  0.4072  0.0034  0.0733  0.2574  0.0438  0.10
Hatto 1993   46  0.3437  0.0018  0.0817  0.4262  0.0425  0.13
Hatto 1997   45  0.3453  0.0017  0.0612  0.4347  0.0518  0.15
Horowitz 1949   51  0.3327  0.0153  0.0467  0.0440  0.1446  0.07
Indjic 1988   44  0.3551  0.0019  0.0818  0.4153  0.0521  0.14
Kapell 1951   37  0.3646  0.0051  0.0649  0.0679  0.0362  0.04
Kissin 1993   42  0.3661  0.0045  0.0646  0.0668  0.0453  0.05
Kushner 1989   6  0.4513  0.0115  0.0910  0.4550  0.0614  0.16
Luisada 1991   25  0.3818  0.0128  0.0729  0.3059  0.0430  0.11
Lushtak 2004   57  0.3040  0.0022  0.0734  0.2566  0.0437  0.10
Malcuzynski 1961   59  0.3035  0.0049  0.0648  0.0685  0.0272  0.03
Magaloff 1978   70  0.2567  0.0073  0.0374  0.0387  0.0283  0.02
Magin 1975   3  0.4511  0.0113  0.1111  0.4539  0.159  0.26
Michalowski 1933   78  0.2315  0.0178  0.0380  0.0331  0.2141  0.08
Milkina 1970   8  0.4341  0.0014  0.0913  0.4361  0.0517  0.15
Mohovich 1999   39  0.3649  0.0038  0.0936  0.2279  0.0344  0.08
Moravec 1969   29  0.3726  0.0148  0.0647  0.0678  0.0358  0.04
Morozova 2008   56  0.3173  0.0071  0.0373  0.0380  0.0375  0.03
Neighaus 1950   48  0.3319  0.0146  0.0745  0.0762  0.0456  0.05
Niedzielski 1931   84  0.1745  0.0063  0.0463  0.0461  0.0561  0.04
Ohlsson 1999   33  0.3723  0.0116  0.0616  0.4258  0.0520  0.14
Osinska 1989   1  0.482  0.202  0.272  0.5957  0.0611  0.19
Pachmann 1927   55  0.3163  0.0057  0.0458  0.0448  0.0652  0.05
Paderewski 1930   61  0.2932  0.0054  0.0464  0.0435  0.1740  0.08
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   26  0.3868  0.0050  0.0650  0.0642  0.1239  0.08
Poblocka 1999   77  0.2377  0.0085  0.0285  0.0284  0.0282  0.02
Rabcewiczowa 1932   35  0.3712  0.0112  0.0919  0.4161  0.0422  0.13
Rachmaninoff 1923   86  0.1283  0.0084  0.0288  0.0285  0.0284  0.02
Rangell 2001   34  0.3764  0.0043  0.0543  0.1065  0.0547  0.07
Richter 1976   68  0.2588  0.0083  0.0281  0.0282  0.0385  0.02
Rosen 1989   11  0.433  0.123  0.139  0.4749  0.0519  0.15
Rosenthal 1930   81  0.2165  0.0082  0.0284  0.0279  0.0387  0.02
Rosenthal 1931   75  0.2434  0.0081  0.0283  0.0278  0.0386  0.02
Rosenthal 1931b   73  0.2455  0.0080  0.0376  0.0363  0.0479  0.03
Rosenthal 1931c   82  0.2187  0.0079  0.0378  0.0383  0.0380  0.03
Rosenthal 1931d   74  0.2466  0.0077  0.0379  0.0354  0.0567  0.04
Rossi 2007   12  0.428  0.0210  0.0821  0.4016  0.443  0.42
Rubinstein 1939   58  0.3089  0.0075  0.0553  0.0576  0.0360  0.04
Rubinstein 1952   17  0.405  0.0430  0.0537  0.2286  0.0248  0.07
Rubinstein 1966   14  0.4143  0.0036  0.0732  0.2672  0.0435  0.10
Schilhawsky 1960   36  0.3656  0.0040  0.0739  0.1657  0.0443  0.08
Shebanova 2002   15  0.406  0.034  0.108  0.5037  0.205  0.32
Smith 1975   52  0.3280  0.0056  0.0555  0.0570  0.0459  0.04
Sokolov 2002   60  0.2981  0.0062  0.0460  0.0483  0.0270  0.03
Sztompka 1959   13  0.4150  0.0029  0.0631  0.2757  0.0527  0.12
Tomsic 1995   40  0.364  0.059  0.0838  0.1950  0.0726  0.12
Uninsky 1932   76  0.2482  0.0070  0.0471  0.0482  0.0376  0.03
Uninsky 1971   30  0.3769  0.0042  0.0542  0.1363  0.0542  0.08
Wasowski 1980   5  0.4517  0.016  0.123  0.5740  0.184  0.32
Zak 1937   22  0.3958  0.0032  0.0726  0.3380  0.0334  0.10
Zak 1951   23  0.3885  0.0031  0.0524  0.3558  0.0523  0.13
Random 1   90  -0.0774  0.0089  0.0189  0.0181  0.0290  0.01
Random 2   89  -0.0742  0.0090  0.0190  0.0185  0.0289  0.01
Random 3   88  -0.0328  0.0188  0.0282  0.0212  0.3645  0.08

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).