Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   20  0.5920  0.0124  0.1122  0.4525  0.3823  0.41
Anderszewski 2003   21  0.5822  0.0026  0.1224  0.4114  0.4820  0.44
Ashkenazy 1981   58  0.4857  0.0059  0.0459  0.0479  0.0386  0.03
Bacha 2000   73  0.4415  0.0175  0.0375  0.0348  0.0671  0.04
Badura 1965   65  0.4670  0.0064  0.0548  0.0538  0.2449  0.11
Barbosa 1983   68  0.4645  0.0040  0.0539  0.1635  0.2436  0.20
Biret 1990   22  0.5836  0.0031  0.0728  0.3332  0.2431  0.28
Blet 2003   50  0.4955  0.0058  0.0466  0.0435  0.1557  0.08
Block 1995   25  0.5771  0.0027  0.1226  0.3615  0.4225  0.39
Blumental 1952   81  0.3880  0.0070  0.0376  0.0367  0.0485  0.03
Boshniakovich 1969   10  0.6431  0.008  0.0819  0.5013  0.5013  0.50
Brailowsky 1960   37  0.5543  0.0052  0.0545  0.0531  0.3345  0.13
Bunin 1987   55  0.4835  0.0057  0.0461  0.0436  0.1858  0.08
Bunin 1987b   60  0.4847  0.0060  0.0462  0.0436  0.1654  0.08
Chiu 1999   77  0.4346  0.0067  0.0457  0.0447  0.0668  0.05
Cohen 1997   87  0.3349  0.0074  0.0286  0.0239  0.2065  0.06
Cortot 1951   57  0.4842  0.0069  0.0373  0.0338  0.1662  0.07
Csalog 1996   75  0.4339  0.0076  0.0277  0.0245  0.0775  0.04
Czerny 1949   9  0.6414  0.0118  0.1110  0.5712  0.569  0.56
Czerny 1990   15  0.6128  0.0025  0.1323  0.4534  0.2130  0.31
Duchoud 2007   56  0.4834  0.0045  0.0549  0.0532  0.2348  0.11
Ezaki 2006   7  0.6510  0.0110  0.105  0.679  0.516  0.58
Falvay 1989   23  0.584  0.086  0.0925  0.3920  0.4522  0.42
Farrell 1958   45  0.5163  0.0051  0.0547  0.0547  0.0763  0.06
Ferenczy 1958   51  0.4973  0.0073  0.0283  0.0234  0.2064  0.06
Fliere 1977   5  0.6554  0.0015  0.108  0.5837  0.3121  0.42
Fou 1978   30  0.5641  0.0019  0.1215  0.5426  0.3818  0.45
Francois 1956   13  0.6319  0.0117  0.1120  0.504  0.648  0.57
Friedman 1923   85  0.3385  0.0080  0.0371  0.0332  0.1959  0.08
Friedman 1923b   86  0.3382  0.0079  0.0280  0.0236  0.1666  0.06
Friedman 1930   67  0.4665  0.0038  0.0540  0.1523  0.3635  0.23
Garcia 2007   82  0.3874  0.0078  0.0287  0.0254  0.0684  0.03
Garcia 2007b   80  0.3960  0.0071  0.0282  0.0233  0.1570  0.05
Gierzod 1998   11  0.6333  0.0012  0.086  0.6131  0.3817  0.48
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   32  0.5630  0.0023  0.1521  0.4629  0.3524  0.40
Harasiewicz 1955   26  0.5718  0.019  0.1116  0.5431  0.2726  0.38
Hatto 1993   84  0.3490  0.0084  0.0374  0.0380  0.0387  0.03
Hatto 1997   78  0.3981  0.0066  0.0469  0.0477  0.0477  0.04
Horowitz 1949   70  0.4583  0.0083  0.0279  0.0264  0.0481  0.03
Indjic 1988   83  0.3489  0.0085  0.0372  0.0370  0.0574  0.04
Kapell 1951   36  0.5567  0.0044  0.0642  0.1252  0.0553  0.08
Kissin 1993   24  0.5712  0.0128  0.0827  0.3433  0.2133  0.27
Kushner 1989   8  0.6516  0.0116  0.0914  0.5419  0.4414  0.49
Luisada 1991   28  0.5644  0.0035  0.0630  0.3037  0.2432  0.27
Lushtak 2004   59  0.4866  0.0055  0.0464  0.0473  0.0479  0.04
Malcuzynski 1961   4  0.688  0.023  0.244  0.687  0.574  0.62
Magaloff 1978   6  0.6511  0.0111  0.077  0.602  0.557  0.57
Magin 1975   18  0.6017  0.0121  0.1418  0.5212  0.4912  0.50
Michalowski 1933   76  0.4388  0.0065  0.0468  0.0444  0.1556  0.08
Milkina 1970   14  0.6132  0.0013  0.0911  0.5724  0.4116  0.48
Mohovich 1999   16  0.615  0.065  0.1313  0.5518  0.5110  0.53
Moravec 1969   49  0.4924  0.0042  0.0643  0.1240  0.1644  0.14
Morozova 2008   44  0.5137  0.0041  0.0641  0.1559  0.0551  0.09
Neighaus 1950   12  0.639  0.027  0.0912  0.5617  0.4315  0.49
Niedzielski 1931   64  0.4650  0.0082  0.0278  0.0279  0.0388  0.02
Ohlsson 1999   27  0.5621  0.0032  0.0938  0.1869  0.0455  0.08
Osinska 1989   1  0.692  0.144  0.293  0.715  0.653  0.68
Pachmann 1927   71  0.4558  0.0081  0.0284  0.0232  0.2360  0.07
Paderewski 1930   62  0.4756  0.0072  0.0285  0.0245  0.0683  0.03
Perlemuter 1992   40  0.5327  0.0029  0.0931  0.2922  0.3729  0.33
Pierdomenico 2008   72  0.4577  0.0077  0.0281  0.0255  0.0680  0.03
Poblocka 1999   33  0.5569  0.0063  0.0551  0.0554  0.0567  0.05
Rabcewiczowa 1932   17  0.617  0.0222  0.179  0.581  0.625  0.60
Rachmaninoff 1923   46  0.5038  0.0036  0.0734  0.2437  0.1337  0.18
Rangell 2001   34  0.5568  0.0014  0.0829  0.3118  0.3728  0.34
Richter 1976   74  0.4486  0.0087  0.0460  0.0476  0.0382  0.03
Rosen 1989   2  0.691  0.361  0.361  0.773  0.722  0.74
Rosenthal 1930   31  0.5652  0.0033  0.0735  0.226  0.6327  0.37
Rosenthal 1931   48  0.4978  0.0048  0.0552  0.059  0.6538  0.18
Rosenthal 1931b   54  0.4875  0.0049  0.0554  0.055  0.6739  0.18
Rosenthal 1931c   35  0.5564  0.0030  0.0832  0.296  0.6919  0.45
Rosenthal 1931d   47  0.5072  0.0061  0.0465  0.0413  0.5643  0.15
Rossi 2007   61  0.4862  0.0050  0.0456  0.042  0.6041  0.15
Rubinstein 1939   79  0.3926  0.0053  0.0553  0.0534  0.2150  0.10
Rubinstein 1952   63  0.4713  0.0143  0.0644  0.1233  0.2340  0.17
Rubinstein 1966   42  0.5225  0.0037  0.0733  0.2532  0.2834  0.26
Schilhawsky 1960   69  0.4661  0.0086  0.0467  0.0475  0.0476  0.04
Shebanova 2002   41  0.5353  0.0062  0.0455  0.0475  0.0478  0.04
Smith 1975   3  0.683  0.092  0.282  0.761  0.751  0.75
Sokolov 2002   19  0.596  0.0420  0.1217  0.536  0.4811  0.50
Sztompka 1959   29  0.5629  0.0034  0.0637  0.1840  0.1342  0.15
Tomsic 1995   39  0.5351  0.0047  0.0550  0.0527  0.2946  0.12
Uninsky 1932   66  0.4679  0.0068  0.0370  0.0349  0.0769  0.05
Uninsky 1971   43  0.5240  0.0054  0.0463  0.0463  0.0573  0.04
Wasowski 1980   38  0.5323  0.0046  0.0546  0.0543  0.1252  0.08
Zak 1937   53  0.4959  0.0056  0.0458  0.0466  0.0472  0.04
Zak 1951   52  0.4948  0.0039  0.0536  0.1954  0.0647  0.11
Random 1   89  -0.0376  0.0089  0.0189  0.0146  0.0590  0.02
Random 2   90  -0.0787  0.0090  0.0190  0.0160  0.0489  0.02
Random 3   88  -0.0184  0.0088  0.0288  0.0230  0.2261  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).