Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.5483  0.0042  0.0641  0.1356  0.0444  0.07
Anderszewski 2003   52  0.4655  0.0054  0.0462  0.0486  0.0275  0.03
Ashkenazy 1981   31  0.5427  0.0030  0.0626  0.3682  0.0336  0.10
Bacha 2000   58  0.4322  0.0052  0.0651  0.0647  0.0747  0.06
Badura 1965   75  0.3678  0.0078  0.0284  0.0277  0.0388  0.02
Barbosa 1983   79  0.3250  0.0067  0.0467  0.0466  0.0464  0.04
Biret 1990   20  0.5715  0.0120  0.074  0.5146  0.0619  0.17
Blet 2003   60  0.4284  0.0071  0.0380  0.0384  0.0376  0.03
Block 1995   36  0.5419  0.0114  0.0719  0.4114  0.367  0.38
Blumental 1952   78  0.3324  0.0057  0.0556  0.0557  0.0467  0.04
Boshniakovich 1969   25  0.5768  0.0027  0.0635  0.2367  0.0435  0.10
Brailowsky 1960   34  0.5452  0.0015  0.0622  0.3919  0.368  0.37
Bunin 1987   74  0.3758  0.0084  0.0282  0.0273  0.0483  0.03
Bunin 1987b   73  0.3771  0.0085  0.0464  0.0474  0.0461  0.04
Chiu 1999   46  0.4829  0.0037  0.0834  0.2350  0.0530  0.11
Cohen 1997   85  0.2223  0.0082  0.0286  0.0271  0.0482  0.03
Cortot 1951   64  0.4114  0.0170  0.0376  0.0381  0.0385  0.03
Csalog 1996   77  0.3473  0.0066  0.0468  0.0472  0.0466  0.04
Czerny 1949   49  0.4743  0.0048  0.0947  0.0950  0.0643  0.07
Czerny 1990   13  0.5946  0.0028  0.0620  0.4164  0.0424  0.13
Duchoud 2007   44  0.489  0.0232  0.0739  0.1566  0.0440  0.08
Ezaki 2006   16  0.5987  0.0023  0.0828  0.3678  0.0332  0.10
Falvay 1989   5  0.637  0.045  0.172  0.5413  0.481  0.51
Farrell 1958   30  0.5511  0.0216  0.0712  0.4429  0.2310  0.32
Ferenczy 1958   76  0.3562  0.0079  0.0283  0.0279  0.0387  0.02
Fliere 1977   10  0.6164  0.0025  0.0824  0.3771  0.0329  0.11
Fou 1978   28  0.5681  0.0013  0.0911  0.4544  0.0816  0.19
Francois 1956   15  0.596  0.063  0.163  0.5123  0.355  0.42
Friedman 1923   87  0.1451  0.0087  0.0378  0.0377  0.0486  0.03
Friedman 1923b   86  0.1544  0.0086  0.0379  0.0376  0.0484  0.03
Friedman 1930   80  0.3269  0.0076  0.0285  0.0274  0.0478  0.03
Garcia 2007   55  0.4541  0.0058  0.0652  0.0662  0.0457  0.05
Garcia 2007b   57  0.4330  0.0056  0.0554  0.0555  0.0558  0.05
Gierzod 1998   21  0.5753  0.0031  0.0831  0.3261  0.0431  0.11
Gornostaeva 1994   23  0.5774  0.0045  0.0650  0.0670  0.0368  0.04
Groot 1988   6  0.632  0.172  0.186  0.4919  0.452  0.47
Harasiewicz 1955   37  0.5413  0.0218  0.0725  0.3756  0.0428  0.12
Hatto 1993   83  0.2861  0.0074  0.0469  0.0466  0.0469  0.04
Hatto 1997   81  0.3060  0.0069  0.0374  0.0383  0.0379  0.03
Horowitz 1949   42  0.5131  0.0040  0.0640  0.1461  0.0441  0.07
Indjic 1988   84  0.2876  0.0072  0.0371  0.0380  0.0374  0.03
Kapell 1951   45  0.4837  0.0059  0.0559  0.0579  0.0360  0.04
Kissin 1993   2  0.6512  0.027  0.138  0.4639  0.1413  0.25
Kushner 1989   1  0.661  0.171  0.171  0.6225  0.333  0.45
Luisada 1991   27  0.5679  0.0036  0.0733  0.2670  0.0433  0.10
Lushtak 2004   43  0.4918  0.0133  0.0730  0.3468  0.0427  0.12
Malcuzynski 1961   29  0.5656  0.0044  0.0643  0.1249  0.0538  0.08
Magaloff 1978   14  0.598  0.036  0.1210  0.4519  0.366  0.40
Magin 1975   12  0.6028  0.0022  0.0627  0.3635  0.1515  0.23
Michalowski 1933   72  0.3726  0.0063  0.0465  0.0459  0.0654  0.05
Milkina 1970   18  0.5959  0.0011  0.1115  0.4337  0.1512  0.25
Mohovich 1999   9  0.6125  0.0012  0.109  0.4547  0.0717  0.18
Moravec 1969   62  0.4277  0.0061  0.0461  0.0484  0.0371  0.03
Morozova 2008   33  0.5438  0.0034  0.0732  0.3168  0.0334  0.10
Neighaus 1950   17  0.5910  0.028  0.1013  0.4467  0.0425  0.13
Niedzielski 1931   63  0.4166  0.0041  0.0644  0.1062  0.0449  0.06
Ohlsson 1999   22  0.575  0.0710  0.1516  0.4251  0.0523  0.14
Osinska 1989   8  0.6120  0.0117  0.0717  0.4246  0.0522  0.14
Pachmann 1927   66  0.4136  0.0051  0.0555  0.0572  0.0463  0.04
Paderewski 1930   39  0.5232  0.0039  0.0637  0.1751  0.0439  0.08
Perlemuter 1992   41  0.5135  0.0043  0.0642  0.1373  0.0348  0.06
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   48  0.4775  0.0060  0.0749  0.0778  0.0351  0.05
Rabcewiczowa 1932   40  0.5117  0.0149  0.1045  0.1072  0.0353  0.05
Rachmaninoff 1923   51  0.4785  0.0035  0.0838  0.1665  0.0437  0.08
Rangell 2001   4  0.633  0.114  0.167  0.4715  0.394  0.43
Richter 1976   59  0.4247  0.0068  0.0370  0.0356  0.0562  0.04
Rosen 1989   7  0.6233  0.0021  0.0623  0.3948  0.0621  0.15
Rosenthal 1930   68  0.4189  0.0075  0.0372  0.0372  0.0381  0.03
Rosenthal 1931   61  0.4272  0.0065  0.0558  0.0550  0.0465  0.04
Rosenthal 1931b   65  0.4182  0.0064  0.0466  0.0465  0.0470  0.04
Rosenthal 1931c   70  0.3886  0.0080  0.0381  0.0385  0.0289  0.02
Rosenthal 1931d   56  0.4388  0.0062  0.0560  0.0541  0.1146  0.07
Rossi 2007   47  0.4721  0.0138  0.0636  0.1719  0.3114  0.23
Rubinstein 1939   82  0.2963  0.0083  0.0377  0.0360  0.0472  0.03
Rubinstein 1952   50  0.4748  0.0053  0.0557  0.0548  0.0850  0.06
Rubinstein 1966   54  0.4567  0.0050  0.0653  0.0661  0.0455  0.05
Schilhawsky 1960   67  0.4157  0.0073  0.0373  0.0383  0.0377  0.03
Shebanova 2002   11  0.604  0.089  0.135  0.5037  0.1611  0.28
Smith 1975   3  0.6342  0.0019  0.0729  0.3466  0.0426  0.12
Sokolov 2002   32  0.5445  0.0046  0.0848  0.0871  0.0352  0.05
Sztompka 1959   38  0.5316  0.0147  0.0946  0.0962  0.0542  0.07
Tomsic 1995   19  0.5849  0.0024  0.0821  0.4024  0.359  0.37
Uninsky 1932   69  0.3939  0.0077  0.0287  0.0276  0.0480  0.03
Uninsky 1971   71  0.3840  0.0081  0.0375  0.0379  0.0473  0.03
Wasowski 1980   53  0.4670  0.0055  0.0463  0.0483  0.0459  0.04
Zak 1937   26  0.5654  0.0029  0.0718  0.4252  0.0620  0.16
Zak 1951   24  0.5780  0.0026  0.0914  0.4346  0.0718  0.17
Random 1   90  -0.2065  0.0090  0.0190  0.0187  0.0190  0.01
Random 2   89  -0.1090  0.0089  0.0289  0.0235  0.1556  0.05
Random 3   88  0.0034  0.0088  0.0288  0.0226  0.2345  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).