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  0.5365  0.0046  0.0846  0.0858  0.0560  0.06
Anderszewski 2003   68  0.3774  0.0049  0.0457  0.0440  0.1955  0.09
Ashkenazy 1981   37  0.5047  0.0032  0.1026  0.3353  0.0545  0.13
Bacha 2000   76  0.3058  0.0080  0.0378  0.0360  0.0480  0.03
Badura 1965   49  0.4469  0.0041  0.0540  0.1327  0.2834  0.19
Barbosa 1983   35  0.5122  0.0023  0.0636  0.1537  0.2632  0.20
Biret 1990   77  0.3087  0.0086  0.0383  0.0387  0.0290  0.02
Blet 2003   8  0.5923  0.0022  0.0717  0.4620  0.4015  0.43
Block 1995   6  0.625  0.065  0.163  0.672  0.701  0.68
Blumental 1952   67  0.3733  0.0054  0.0549  0.0549  0.0567  0.05
Boshniakovich 1969   22  0.5663  0.0024  0.0620  0.4315  0.5310  0.48
Brailowsky 1960   50  0.4441  0.0064  0.0452  0.0478  0.0382  0.03
Bunin 1987   29  0.5370  0.0036  0.0831  0.2428  0.3228  0.28
Bunin 1987b   30  0.5366  0.0037  0.0932  0.2428  0.3227  0.28
Chiu 1999   48  0.4579  0.0053  0.0551  0.0550  0.0563  0.05
Cohen 1997   83  0.2549  0.0082  0.0381  0.0372  0.0385  0.03
Cortot 1951   69  0.3767  0.0073  0.0379  0.0350  0.0678  0.04
Csalog 1996   80  0.2935  0.0081  0.0285  0.0261  0.0583  0.03
Czerny 1949   58  0.4182  0.0069  0.0456  0.0460  0.0474  0.04
Czerny 1990   14  0.5775  0.0019  0.1114  0.4926  0.2519  0.35
Duchoud 2007   59  0.4088  0.0065  0.0460  0.0456  0.0575  0.04
Ezaki 2006   23  0.5542  0.0034  0.0630  0.2752  0.0546  0.12
Falvay 1989   27  0.5359  0.0045  0.0643  0.1244  0.0851  0.10
Farrell 1958   72  0.3371  0.0067  0.0470  0.0427  0.2948  0.11
Ferenczy 1958   66  0.3889  0.0074  0.0375  0.0356  0.0573  0.04
Fliere 1977   3  0.662  0.123  0.175  0.6511  0.574  0.61
Fou 1978   26  0.5431  0.0027  0.0628  0.3133  0.2826  0.29
Francois 1956   31  0.5380  0.0035  0.0633  0.2139  0.1636  0.18
Friedman 1923   82  0.2628  0.0072  0.0382  0.0323  0.3354  0.10
Friedman 1923b   81  0.2727  0.0071  0.0384  0.0322  0.3353  0.10
Friedman 1930   79  0.2950  0.0070  0.0465  0.0443  0.1059  0.06
Garcia 2007   73  0.3355  0.0058  0.0376  0.0311  0.5743  0.13
Garcia 2007b   84  0.2356  0.0085  0.0288  0.0245  0.0979  0.04
Gierzod 1998   56  0.4173  0.0052  0.0647  0.0657  0.0566  0.05
Gornostaeva 1994   24  0.5417  0.0113  0.1021  0.4127  0.2822  0.34
Groot 1988   2  0.6613  0.012  0.152  0.713  0.602  0.65
Harasiewicz 1955   5  0.6312  0.017  0.246  0.629  0.428  0.51
Hatto 1993   85  0.2246  0.0083  0.0380  0.0386  0.0387  0.03
Hatto 1997   87  0.2083  0.0087  0.0373  0.0385  0.0384  0.03
Horowitz 1949   46  0.4621  0.0039  0.0542  0.1232  0.2137  0.16
Indjic 1988   86  0.2272  0.0084  0.0286  0.0285  0.0289  0.02
Kapell 1951   60  0.4090  0.0068  0.0467  0.0451  0.0571  0.04
Kissin 1993   18  0.5616  0.0126  0.0729  0.3037  0.2129  0.25
Kushner 1989   19  0.5614  0.0120  0.0723  0.3925  0.3020  0.34
Luisada 1991   42  0.4819  0.0155  0.0550  0.0547  0.0662  0.05
Lushtak 2004   33  0.5232  0.0030  0.0727  0.3237  0.1730  0.23
Malcuzynski 1961   16  0.5739  0.0018  0.0819  0.4433  0.2621  0.34
Magaloff 1978   10  0.5825  0.0011  0.1210  0.5521  0.3016  0.41
Magin 1975   41  0.4940  0.0040  0.0641  0.1327  0.2535  0.18
Michalowski 1933   65  0.3857  0.0021  0.0639  0.1433  0.2733  0.19
Milkina 1970   62  0.4077  0.0062  0.0463  0.0475  0.0472  0.04
Mohovich 1999   4  0.6520  0.016  0.154  0.666  0.623  0.64
Moravec 1969   64  0.3964  0.0079  0.0468  0.0452  0.0568  0.04
Morozova 2008   15  0.576  0.0512  0.118  0.5611  0.4012  0.47
Neighaus 1950   17  0.574  0.074  0.147  0.6117  0.495  0.55
Niedzielski 1931   70  0.3626  0.0066  0.0469  0.0422  0.2652  0.10
Ohlsson 1999   51  0.438  0.0348  0.0454  0.0448  0.0664  0.05
Osinska 1989   44  0.4730  0.0057  0.0459  0.0464  0.0469  0.04
Pachmann 1927   47  0.4543  0.0047  0.0648  0.0628  0.3242  0.14
Paderewski 1930   45  0.4638  0.0042  0.0645  0.1245  0.1149  0.11
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   53  0.4252  0.0060  0.0472  0.0457  0.0470  0.04
Poblocka 1999   32  0.5211  0.0125  0.0625  0.3326  0.2625  0.29
Rabcewiczowa 1932   55  0.4284  0.0063  0.0455  0.0445  0.1358  0.07
Rachmaninoff 1923   34  0.527  0.038  0.1716  0.4711  0.499  0.48
Rangell 2001   71  0.3660  0.0078  0.0471  0.0461  0.0477  0.04
Richter 1976   7  0.603  0.089  0.1712  0.494  0.4611  0.47
Rosen 1989   38  0.5045  0.0038  0.0635  0.1537  0.1838  0.16
Rosenthal 1930   54  0.4261  0.0050  0.0458  0.0427  0.4044  0.13
Rosenthal 1931   74  0.3276  0.0075  0.0374  0.0335  0.1956  0.08
Rosenthal 1931b   78  0.2985  0.0076  0.0461  0.0435  0.1857  0.08
Rosenthal 1931c   63  0.4091  0.0051  0.0453  0.0428  0.3150  0.11
Rosenthal 1931d   75  0.3162  0.0077  0.0377  0.0355  0.0486  0.03
Rossi 2007   57  0.4129  0.0061  0.0462  0.045  0.4940  0.14
Rubinstein 1939   88  0.1651  0.0088  0.0287  0.0276  0.0388  0.02
Rubinstein 1952   43  0.4710  0.0129  0.0738  0.1436  0.1839  0.16
Rubinstein 1966   52  0.4368  0.0056  0.0466  0.0457  0.0665  0.05
Schilhawsky 1960   39  0.4953  0.0044  0.0644  0.1220  0.3831  0.21
Shebanova 2002   40  0.499  0.0228  0.0634  0.1948  0.0747  0.12
Smith 1975   12  0.5881  0.0017  0.1018  0.4434  0.2323  0.32
Sokolov 2002   21  0.5618  0.0114  0.1113  0.4924  0.3714  0.43
Sztompka 1959   9  0.5924  0.0016  0.099  0.566  0.516  0.53
Tomsic 1995   11  0.5836  0.0010  0.1115  0.4722  0.2917  0.37
Uninsky 1932   20  0.5648  0.0031  0.0922  0.3921  0.3118  0.35
Uninsky 1971   13  0.5815  0.0115  0.1411  0.539  0.527  0.52
Wasowski 1980   61  0.4078  0.0059  0.0464  0.0479  0.0381  0.03
Zak 1937   36  0.5044  0.0043  0.0537  0.1542  0.1441  0.14
Zak 1951   25  0.5437  0.0033  0.0824  0.3833  0.2624  0.31
Average   1  0.691  0.371  0.361  0.7230  0.2713  0.44
Random 1   90  -0.0154  0.0090  0.0290  0.0244  0.0876  0.04
Random 2   91  -0.1486  0.0091  0.0191  0.0191  0.0191  0.01
Random 3   89  0.0034  0.0089  0.0289  0.0235  0.2161  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).