Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.5484  0.0043  0.0642  0.1357  0.0445  0.07
Anderszewski 2003   53  0.4656  0.0055  0.0463  0.0487  0.0275  0.03
Ashkenazy 1981   32  0.5428  0.0031  0.0627  0.3683  0.0337  0.10
Bacha 2000   59  0.4323  0.0053  0.0652  0.0648  0.0648  0.06
Badura 1965   76  0.3679  0.0079  0.0285  0.0278  0.0389  0.02
Barbosa 1983   80  0.3251  0.0068  0.0468  0.0467  0.0465  0.04
Biret 1990   21  0.5715  0.0121  0.075  0.5147  0.0619  0.17
Blet 2003   61  0.4285  0.0072  0.0381  0.0385  0.0376  0.03
Block 1995   37  0.5418  0.0115  0.0720  0.4115  0.367  0.38
Blumental 1952   79  0.3325  0.0058  0.0557  0.0558  0.0467  0.04
Boshniakovich 1969   26  0.5769  0.0028  0.0636  0.2368  0.0436  0.10
Brailowsky 1960   35  0.5453  0.0016  0.0623  0.3920  0.368  0.37
Bunin 1987   75  0.3759  0.0085  0.0283  0.0274  0.0483  0.03
Bunin 1987b   74  0.3772  0.0086  0.0465  0.0475  0.0462  0.04
Chiu 1999   47  0.4830  0.0038  0.0835  0.2351  0.0531  0.11
Cohen 1997   86  0.2224  0.0083  0.0287  0.0272  0.0482  0.03
Cortot 1951   65  0.4114  0.0171  0.0377  0.0382  0.0386  0.03
Csalog 1996   78  0.3474  0.0067  0.0369  0.0373  0.0474  0.03
Czerny 1949   50  0.4744  0.0049  0.0948  0.0951  0.0644  0.07
Czerny 1990   14  0.5948  0.0029  0.0621  0.4165  0.0424  0.13
Duchoud 2007   45  0.489  0.0233  0.0740  0.1567  0.0441  0.08
Ezaki 2006   17  0.5988  0.0024  0.0729  0.3679  0.0333  0.10
Falvay 1989   6  0.637  0.045  0.162  0.5414  0.481  0.51
Farrell 1958   31  0.5511  0.0217  0.0613  0.4430  0.2310  0.32
Ferenczy 1958   77  0.3563  0.0080  0.0284  0.0280  0.0388  0.02
Fliere 1977   11  0.6165  0.0026  0.0825  0.3772  0.0330  0.11
Fou 1978   29  0.5682  0.0014  0.0912  0.4545  0.0816  0.19
Francois 1956   16  0.596  0.063  0.164  0.5124  0.355  0.42
Friedman 1923   88  0.1452  0.0088  0.0379  0.0378  0.0487  0.03
Friedman 1923b   87  0.1545  0.0087  0.0380  0.0377  0.0484  0.03
Friedman 1930   81  0.3270  0.0077  0.0286  0.0275  0.0478  0.03
Garcia 2007   56  0.4542  0.0059  0.0653  0.0663  0.0458  0.05
Garcia 2007b   58  0.4331  0.0057  0.0555  0.0556  0.0559  0.05
Gierzod 1998   22  0.5754  0.0032  0.0832  0.3262  0.0432  0.11
Gornostaeva 1994   24  0.5775  0.0046  0.0651  0.0671  0.0368  0.04
Groot 1988   7  0.632  0.172  0.187  0.4920  0.452  0.47
Harasiewicz 1955   38  0.5413  0.0219  0.0726  0.3757  0.0429  0.12
Hatto 1993   84  0.2862  0.0075  0.0370  0.0367  0.0485  0.03
Hatto 1997   82  0.3061  0.0070  0.0375  0.0384  0.0379  0.03
Horowitz 1949   43  0.5132  0.0041  0.0641  0.1462  0.0442  0.07
Indjic 1988   85  0.2878  0.0073  0.0372  0.0381  0.0373  0.03
Kapell 1951   46  0.4837  0.0060  0.0560  0.0580  0.0361  0.04
Kissin 1993   3  0.6512  0.0210  0.129  0.4640  0.1413  0.25
Kushner 1989   1  0.661  0.171  0.171  0.6226  0.333  0.45
Luisada 1991   28  0.5680  0.0037  0.0734  0.2671  0.0434  0.10
Lushtak 2004   44  0.4917  0.0134  0.0731  0.3469  0.0428  0.12
Malcuzynski 1961   30  0.5657  0.0045  0.0644  0.1250  0.0539  0.08
Magaloff 1978   15  0.598  0.036  0.1211  0.4520  0.366  0.40
Magin 1975   13  0.6029  0.0023  0.0628  0.3636  0.1515  0.23
Michalowski 1933   73  0.3727  0.0064  0.0466  0.0460  0.0655  0.05
Milkina 1970   19  0.5960  0.0012  0.1116  0.4338  0.1512  0.25
Mohovich 1999   10  0.6126  0.0013  0.1010  0.4548  0.0717  0.18
Moravec 1969   63  0.4277  0.0062  0.0462  0.0485  0.0370  0.03
Morozova 2008   34  0.5439  0.0035  0.0733  0.3169  0.0335  0.10
Neighaus 1950   18  0.5910  0.0211  0.1014  0.4468  0.0425  0.13
Niedzielski 1931   64  0.4167  0.0042  0.0545  0.1063  0.0353  0.05
Ohlsson 1999   23  0.575  0.077  0.1017  0.4252  0.0523  0.14
Osinska 1989   9  0.6120  0.0118  0.0718  0.4247  0.0522  0.14
Pachmann 1927   67  0.4136  0.0052  0.0556  0.0573  0.0464  0.04
Paderewski 1930   40  0.5233  0.0040  0.0638  0.1752  0.0440  0.08
Perlemuter 1992   42  0.5135  0.0044  0.0643  0.1374  0.0349  0.06
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   49  0.4776  0.0061  0.0750  0.0779  0.0351  0.05
Rabcewiczowa 1932   41  0.5119  0.0150  0.1046  0.1073  0.0354  0.05
Rachmaninoff 1923   52  0.4786  0.0036  0.0839  0.1666  0.0438  0.08
Rangell 2001   5  0.633  0.114  0.158  0.4716  0.394  0.43
Richter 1976   60  0.4247  0.0069  0.0371  0.0357  0.0563  0.04
Rosen 1989   8  0.6238  0.0022  0.0624  0.3949  0.0621  0.15
Rosenthal 1930   69  0.4190  0.0076  0.0373  0.0373  0.0381  0.03
Rosenthal 1931   62  0.4273  0.0066  0.0559  0.0551  0.0466  0.04
Rosenthal 1931b   66  0.4183  0.0065  0.0467  0.0466  0.0469  0.04
Rosenthal 1931c   71  0.3887  0.0081  0.0282  0.0286  0.0290  0.02
Rosenthal 1931d   57  0.4389  0.0063  0.0461  0.0442  0.1147  0.07
Rossi 2007   48  0.4721  0.0039  0.0637  0.1720  0.3114  0.23
Rubinstein 1939   83  0.2964  0.0084  0.0378  0.0361  0.0471  0.03
Rubinstein 1952   51  0.4749  0.0054  0.0558  0.0549  0.0850  0.06
Rubinstein 1966   55  0.4568  0.0051  0.0654  0.0662  0.0456  0.05
Schilhawsky 1960   68  0.4158  0.0074  0.0374  0.0384  0.0377  0.03
Shebanova 2002   12  0.604  0.088  0.166  0.5038  0.1611  0.28
Smith 1975   4  0.6343  0.0020  0.0730  0.3467  0.0426  0.12
Sokolov 2002   33  0.5446  0.0047  0.0749  0.0772  0.0352  0.05
Sztompka 1959   39  0.5316  0.0148  0.0947  0.0963  0.0543  0.07
Tomsic 1995   20  0.5850  0.0025  0.0822  0.4025  0.359  0.37
Uninsky 1932   70  0.3940  0.0078  0.0288  0.0277  0.0480  0.03
Uninsky 1971   72  0.3841  0.0082  0.0376  0.0380  0.0472  0.03
Wasowski 1980   54  0.4671  0.0056  0.0464  0.0484  0.0460  0.04
Zak 1937   27  0.5655  0.0030  0.0719  0.4253  0.0620  0.16
Zak 1951   25  0.5781  0.0027  0.0915  0.4347  0.0718  0.17
Average   2  0.6522  0.009  0.123  0.5279  0.0327  0.12
Random 1   91  -0.2066  0.0091  0.0191  0.0188  0.0191  0.01
Random 2   90  -0.1091  0.0090  0.0290  0.0235  0.1557  0.05
Random 3   89  0.0034  0.0089  0.0289  0.0226  0.2546  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).