Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5357  0.0033  0.0722  0.3672  0.0431  0.12
Anderszewski 2003   44  0.4591  0.0043  0.0638  0.1974  0.0343  0.08
Ashkenazy 1981   28  0.5333  0.0037  0.0932  0.2570  0.0436  0.10
Bacha 2000   57  0.4173  0.0052  0.0654  0.0645  0.0845  0.07
Badura 1965   73  0.3290  0.0076  0.0470  0.0473  0.0468  0.04
Barbosa 1983   87  0.2359  0.0059  0.0565  0.0575  0.0364  0.04
Biret 1990   30  0.5110  0.0222  0.069  0.4546  0.0813  0.19
Blet 2003   61  0.3786  0.0064  0.0656  0.0680  0.0366  0.04
Block 1995   32  0.5114  0.016  0.1717  0.3919  0.268  0.32
Blumental 1952   59  0.3826  0.0046  0.0559  0.0575  0.0469  0.04
Boshniakovich 1969   22  0.5430  0.0040  0.0543  0.1370  0.0544  0.08
Brailowsky 1960   55  0.4187  0.0044  0.0641  0.1570  0.0442  0.08
Bunin 1987   85  0.2744  0.0086  0.0385  0.0379  0.0387  0.03
Bunin 1987b   84  0.2746  0.0085  0.0288  0.0275  0.0390  0.02
Chiu 1999   63  0.3677  0.0042  0.0544  0.1362  0.0348  0.06
Cohen 1997   88  0.1040  0.0088  0.0384  0.0367  0.0386  0.03
Cortot 1951   62  0.3760  0.0068  0.0475  0.0464  0.0473  0.04
Csalog 1996   71  0.3339  0.0066  0.0474  0.0470  0.0379  0.03
Czerny 1949   64  0.3684  0.0051  0.0655  0.0683  0.0367  0.04
Czerny 1990   31  0.5174  0.0030  0.0718  0.3975  0.0334  0.11
Duchoud 2007   49  0.4351  0.0036  0.0739  0.1736  0.1620  0.16
Ezaki 2006   34  0.4955  0.0041  0.0636  0.2475  0.0341  0.08
Falvay 1989   15  0.5513  0.0116  0.087  0.4616  0.502  0.48
Farrell 1958   11  0.578  0.025  0.161  0.6623  0.353  0.48
Ferenczy 1958   81  0.3061  0.0078  0.0469  0.0485  0.0283  0.03
Fliere 1977   39  0.4775  0.0050  0.0652  0.0686  0.0358  0.04
Fou 1978   19  0.5437  0.0032  0.0626  0.3553  0.0429  0.12
Francois 1956   7  0.595  0.044  0.154  0.5418  0.434  0.48
Friedman 1923   69  0.3352  0.0070  0.0564  0.0587  0.0375  0.04
Friedman 1923b   67  0.3456  0.0069  0.0479  0.0471  0.0470  0.04
Friedman 1930   80  0.3162  0.0077  0.0472  0.0474  0.0381  0.03
Garcia 2007   25  0.5319  0.0110  0.1116  0.4040  0.1710  0.26
Garcia 2007b   26  0.5312  0.0115  0.0927  0.3243  0.1212  0.20
Gierzod 1998   18  0.5531  0.0026  0.0619  0.3761  0.0524  0.14
Gornostaeva 1994   51  0.4380  0.0060  0.0562  0.0583  0.0288  0.03
Groot 1988   1  0.631  0.311  0.312  0.5812  0.481  0.53
Harasiewicz 1955   47  0.4428  0.0047  0.0653  0.0669  0.0454  0.05
Hatto 1993   79  0.3254  0.0074  0.0467  0.0477  0.0472  0.04
Hatto 1997   78  0.3281  0.0073  0.0380  0.0376  0.0482  0.03
Horowitz 1949   43  0.4569  0.0056  0.0650  0.0658  0.0552  0.05
Indjic 1988   75  0.3266  0.0071  0.0381  0.0374  0.0478  0.03
Kapell 1951   46  0.4416  0.0158  0.0847  0.0884  0.0351  0.05
Kissin 1993   8  0.587  0.0321  0.0723  0.3660  0.0430  0.12
Kushner 1989   2  0.613  0.103  0.133  0.5535  0.197  0.32
Luisada 1991   36  0.4938  0.0048  0.0649  0.0685  0.0357  0.04
Lushtak 2004   41  0.4623  0.0124  0.0724  0.3663  0.0432  0.12
Malcuzynski 1961   48  0.4345  0.0061  0.0561  0.0580  0.0363  0.04
Magaloff 1978   40  0.4620  0.0125  0.0637  0.2042  0.1714  0.18
Magin 1975   5  0.609  0.0213  0.098  0.4560  0.0426  0.13
Michalowski 1933   56  0.4176  0.0062  0.0651  0.0675  0.0453  0.05
Milkina 1970   20  0.5453  0.0027  0.0731  0.2684  0.0338  0.09
Mohovich 1999   13  0.5632  0.0014  0.1014  0.4153  0.0621  0.16
Moravec 1969   72  0.3263  0.0075  0.0476  0.0455  0.0556  0.04
Morozova 2008   33  0.5125  0.0135  0.0835  0.2560  0.0435  0.10
Neighaus 1950   23  0.5422  0.0111  0.1112  0.4355  0.0622  0.16
Niedzielski 1931   58  0.4041  0.0054  0.0557  0.0560  0.0462  0.04
Ohlsson 1999   16  0.552  0.152  0.155  0.4735  0.179  0.28
Osinska 1989   12  0.5615  0.017  0.1211  0.4463  0.0425  0.13
Pachmann 1927   45  0.4529  0.0039  0.0640  0.1623  0.2911  0.22
Paderewski 1930   29  0.5234  0.0028  0.0633  0.2539  0.1315  0.18
Perlemuter 1992   42  0.4635  0.0034  0.0734  0.2574  0.0337  0.09
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   50  0.4371  0.0057  0.0648  0.0679  0.0359  0.04
Rabcewiczowa 1932   53  0.4321  0.0138  0.0642  0.1468  0.0446  0.07
Rachmaninoff 1923   38  0.4811  0.0219  0.0720  0.3769  0.0428  0.12
Rangell 2001   3  0.606  0.038  0.1115  0.4116  0.386  0.39
Richter 1976   82  0.3050  0.0083  0.0287  0.0265  0.0476  0.03
Rosen 1989   6  0.5948  0.0031  0.0721  0.3746  0.0623  0.15
Rosenthal 1930   83  0.2743  0.0084  0.0386  0.0374  0.0385  0.03
Rosenthal 1931   74  0.3278  0.0082  0.0478  0.0470  0.0465  0.04
Rosenthal 1931b   70  0.3388  0.0080  0.0473  0.0476  0.0474  0.04
Rosenthal 1931c   86  0.2664  0.0087  0.0383  0.0384  0.0389  0.03
Rosenthal 1931d   77  0.3270  0.0081  0.0477  0.0468  0.0471  0.04
Rossi 2007   54  0.4218  0.0145  0.0645  0.1230  0.2416  0.17
Rubinstein 1939   76  0.3285  0.0079  0.0466  0.0474  0.0461  0.04
Rubinstein 1952   60  0.3782  0.0067  0.0560  0.0567  0.0555  0.05
Rubinstein 1966   52  0.4367  0.0055  0.0846  0.0860  0.0549  0.06
Schilhawsky 1960   66  0.3568  0.0063  0.0468  0.0478  0.0380  0.03
Shebanova 2002   9  0.5727  0.0012  0.126  0.4647  0.0619  0.17
Smith 1975   14  0.5617  0.0129  0.0729  0.2967  0.0433  0.11
Sokolov 2002   35  0.4972  0.0049  0.0563  0.0579  0.0360  0.04
Sztompka 1959   4  0.6024  0.019  0.1110  0.4569  0.0427  0.13
Tomsic 1995   17  0.5542  0.0023  0.0625  0.3518  0.455  0.40
Uninsky 1932   65  0.3579  0.0065  0.0471  0.0488  0.0284  0.03
Uninsky 1971   68  0.3483  0.0072  0.0382  0.0378  0.0477  0.03
Wasowski 1980   37  0.4849  0.0053  0.0558  0.0552  0.0650  0.05
Zak 1937   24  0.5336  0.0018  0.0730  0.2845  0.1017  0.17
Zak 1951   21  0.544  0.0717  0.0728  0.3044  0.1018  0.17
Average   10  0.5765  0.0020  0.0713  0.4287  0.0239  0.09
Random 1   91  -0.3747  0.0091  0.0191  0.0190  0.0191  0.01
Random 2   90  -0.0789  0.0090  0.0290  0.0222  0.2347  0.07
Random 3   89  0.0058  0.0089  0.0289  0.0217  0.3840  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).