Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.4830  0.0016  0.0724  0.4074  0.0427  0.13
Anderszewski 2003   57  0.3785  0.0050  0.0563  0.0578  0.0365  0.04
Ashkenazy 1981   33  0.4527  0.0141  0.0642  0.2071  0.0343  0.08
Bacha 2000   49  0.4063  0.0060  0.0649  0.0676  0.0357  0.04
Badura 1965   81  0.2888  0.0079  0.0560  0.0585  0.0368  0.04
Barbosa 1983   87  0.2448  0.0070  0.0380  0.0376  0.0478  0.03
Biret 1990   28  0.4583  0.0018  0.079  0.5155  0.0518  0.16
Blet 2003   65  0.3550  0.0072  0.0564  0.0576  0.0366  0.04
Block 1995   70  0.3284  0.0055  0.0562  0.0566  0.0469  0.04
Blumental 1952   66  0.3438  0.0049  0.0565  0.0585  0.0370  0.04
Boshniakovich 1969   10  0.5119  0.0115  0.0729  0.3454  0.0528  0.13
Brailowsky 1960   88  0.2389  0.0085  0.0385  0.0384  0.0374  0.03
Bunin 1987   82  0.2786  0.0083  0.0478  0.0486  0.0384  0.03
Bunin 1987b   84  0.2790  0.0082  0.0386  0.0385  0.0375  0.03
Chiu 1999   61  0.3679  0.0056  0.0652  0.0655  0.0551  0.05
Cohen 1997   76  0.3044  0.0069  0.0472  0.0479  0.0383  0.03
Cortot 1951   77  0.2940  0.0071  0.0569  0.0580  0.0372  0.04
Csalog 1996   47  0.4015  0.0139  0.0646  0.1057  0.0547  0.07
Czerny 1949   48  0.4075  0.0044  0.0739  0.2359  0.0538  0.11
Czerny 1990   29  0.4580  0.0034  0.0735  0.2884  0.0340  0.09
Duchoud 2007   41  0.4318  0.0113  0.0733  0.2935  0.1915  0.23
Ezaki 2006   46  0.4268  0.0052  0.0568  0.0585  0.0356  0.04
Falvay 1989   7  0.5147  0.0020  0.0717  0.4432  0.316  0.37
Farrell 1958   24  0.481  0.141  0.142  0.6822  0.442  0.55
Ferenczy 1958   72  0.3146  0.0073  0.0476  0.0488  0.0281  0.03
Fliere 1977   35  0.4476  0.0043  0.0740  0.2388  0.0244  0.07
Fou 1978   22  0.4851  0.0031  0.0827  0.3782  0.0335  0.11
Francois 1956   8  0.514  0.095  0.166  0.5811  0.581  0.58
Friedman 1923   79  0.2849  0.0077  0.0381  0.0387  0.0290  0.02
Friedman 1923b   78  0.2887  0.0076  0.0383  0.0383  0.0385  0.03
Friedman 1930   74  0.3052  0.0075  0.0474  0.0484  0.0380  0.03
Garcia 2007   9  0.512  0.136  0.215  0.5915  0.504  0.54
Garcia 2007b   6  0.526  0.067  0.227  0.5537  0.238  0.36
Gierzod 1998   2  0.5616  0.0111  0.108  0.5259  0.0423  0.14
Gornostaeva 1994   50  0.3972  0.0063  0.0561  0.0553  0.0471  0.04
Groot 1988   31  0.4570  0.0010  0.1011  0.4929  0.259  0.35
Harasiewicz 1955   27  0.4635  0.0025  0.0726  0.3876  0.0432  0.12
Hatto 1993   59  0.3739  0.0059  0.1047  0.1063  0.0450  0.06
Hatto 1997   56  0.3758  0.0057  0.0656  0.0658  0.0554  0.05
Horowitz 1949   67  0.3454  0.0074  0.0382  0.0371  0.0477  0.03
Indjic 1988   54  0.3855  0.0058  0.1045  0.1061  0.0546  0.07
Kapell 1951   36  0.4420  0.0128  0.0838  0.2559  0.0536  0.11
Kissin 1993   12  0.5013  0.0223  0.0628  0.3463  0.0430  0.12
Kushner 1989   4  0.5410  0.024  0.163  0.6249  0.0717  0.21
Luisada 1991   58  0.3753  0.0065  0.0567  0.0580  0.0358  0.04
Lushtak 2004   39  0.4337  0.0019  0.0916  0.4544  0.1216  0.23
Malcuzynski 1961   44  0.4234  0.0054  0.0653  0.0687  0.0276  0.03
Magaloff 1978   52  0.3828  0.0048  0.0651  0.0645  0.0945  0.07
Magin 1975   16  0.4922  0.0130  0.0821  0.4077  0.0334  0.11
Michalowski 1933   64  0.3561  0.0067  0.0655  0.0670  0.0453  0.05
Milkina 1970   19  0.4977  0.0026  0.0820  0.4280  0.0426  0.13
Mohovich 1999   40  0.4360  0.0035  0.0832  0.2963  0.0531  0.12
Moravec 1969   69  0.3264  0.0078  0.0473  0.0486  0.0273  0.03
Morozova 2008   38  0.4321  0.0137  0.0736  0.2869  0.0437  0.11
Neighaus 1950   34  0.4523  0.0132  0.0837  0.2579  0.0439  0.10
Niedzielski 1931   73  0.3136  0.0062  0.0566  0.0567  0.0463  0.04
Ohlsson 1999   17  0.497  0.058  0.1910  0.5041  0.1313  0.25
Osinska 1989   3  0.555  0.073  0.184  0.6045  0.1311  0.28
Pachmann 1927   32  0.4517  0.0140  0.0544  0.1715  0.4612  0.28
Paderewski 1930   20  0.499  0.0212  0.0912  0.486  0.603  0.54
Perlemuter 1992   30  0.4565  0.0036  0.0834  0.2867  0.0433  0.11
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   60  0.3773  0.0061  0.0559  0.0583  0.0360  0.04
Rabcewiczowa 1932   55  0.3881  0.0045  0.0943  0.1858  0.0442  0.08
Rachmaninoff 1923   63  0.3512  0.0238  0.0831  0.3060  0.0529  0.12
Rangell 2001   18  0.4966  0.0027  0.0922  0.4031  0.337  0.36
Richter 1976   68  0.3356  0.0080  0.0654  0.0669  0.0452  0.05
Rosen 1989   5  0.5425  0.0129  0.0723  0.4066  0.0524  0.14
Rosenthal 1930   85  0.2691  0.0087  0.0288  0.0266  0.0389  0.02
Rosenthal 1931   83  0.2778  0.0086  0.0387  0.0366  0.0479  0.03
Rosenthal 1931b   75  0.3074  0.0081  0.0477  0.0486  0.0287  0.03
Rosenthal 1931c   86  0.2662  0.0088  0.0379  0.0370  0.0388  0.03
Rosenthal 1931d   80  0.2841  0.0084  0.0384  0.0378  0.0386  0.03
Rossi 2007   25  0.4711  0.0214  0.0715  0.4518  0.405  0.42
Rubinstein 1939   51  0.3869  0.0064  0.0471  0.0463  0.0462  0.04
Rubinstein 1952   42  0.4259  0.0047  0.0650  0.0664  0.0455  0.05
Rubinstein 1966   26  0.4614  0.0122  0.0625  0.3942  0.1514  0.24
Schilhawsky 1960   53  0.3826  0.0146  0.0648  0.0686  0.0367  0.04
Shebanova 2002   11  0.5024  0.019  0.1014  0.4768  0.0519  0.15
Smith 1975   37  0.4331  0.0051  0.0557  0.0582  0.0361  0.04
Sokolov 2002   45  0.4233  0.0042  0.0741  0.2184  0.0341  0.08
Sztompka 1959   14  0.4945  0.0017  0.0719  0.4263  0.0521  0.14
Tomsic 1995   21  0.4829  0.0033  0.0830  0.3230  0.3610  0.34
Uninsky 1932   71  0.3171  0.0068  0.0475  0.0486  0.0382  0.03
Uninsky 1971   62  0.3632  0.0066  0.0470  0.0481  0.0464  0.04
Wasowski 1980   43  0.4243  0.0053  0.0558  0.0588  0.0359  0.04
Zak 1937   15  0.4942  0.0024  0.0618  0.4376  0.0425  0.13
Zak 1951   13  0.508  0.0421  0.0713  0.4873  0.0420  0.14
Average   1  0.563  0.132  0.141  0.7081  0.0322  0.14
Random 1   91  -0.1657  0.0091  0.0191  0.0189  0.0191  0.01
Random 2   90  -0.0682  0.0090  0.0290  0.0229  0.2348  0.07
Random 3   89  -0.0667  0.0089  0.0289  0.0224  0.2549  0.07

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).