Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.302  0.0042  0.0639  0.1647  0.0743  0.11
Anderszewski 2003   88  0.0010  0.0088  0.0289  0.0288  0.0190  0.01
Ashkenazy 1981   4  0.473  0.005  0.095  0.6533  0.449  0.53
Bacha 2000   76  0.1211  0.0075  0.0473  0.0484  0.0276  0.03
Badura 1965   67  0.2012  0.0069  0.0474  0.0468  0.0471  0.04
Barbosa 1983   32  0.3313  0.0026  0.0827  0.4326  0.3725  0.40
Biret 1990   46  0.2814  0.0043  0.0640  0.1529  0.4536  0.26
Blet 2003   20  0.3815  0.0010  0.1111  0.5626  0.4910  0.52
Block 1995   52  0.2516  0.0053  0.0747  0.0766  0.0461  0.05
Blumental 1952   59  0.234  0.0048  0.0749  0.0741  0.1345  0.10
Boshniakovich 1969   50  0.2617  0.0051  0.0751  0.0763  0.0552  0.06
Brailowsky 1960   65  0.2018  0.0068  0.0476  0.0459  0.0566  0.04
Bunin 1987   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bunin 1987b   1  1.001  1.001  0.991  1.001  1.001  1.00
Chiu 1999   15  0.4019  0.0023  0.1114  0.5435  0.2924  0.40
Cohen 1997   73  0.1520  0.0076  0.0471  0.0486  0.0281  0.03
Cortot 1951   77  0.1221  0.0077  0.0377  0.0378  0.0382  0.03
Csalog 1996   45  0.2822  0.0040  0.0641  0.1530  0.3238  0.22
Czerny 1949   78  0.1123  0.0085  0.0384  0.0367  0.0478  0.03
Czerny 1990   19  0.3824  0.0025  0.0820  0.4827  0.5711  0.52
Duchoud 2007   21  0.3725  0.0018  0.1010  0.5718  0.527  0.54
Ezaki 2006   66  0.2026  0.0044  0.0544  0.1155  0.0646  0.08
Falvay 1989   36  0.3027  0.0037  0.0837  0.2147  0.0642  0.11
Farrell 1958   25  0.355  0.0029  0.0929  0.4113  0.5117  0.46
Ferenczy 1958   83  0.0628  0.0086  0.0385  0.0356  0.0669  0.04
Fliere 1977   7  0.4329  0.004  0.1016  0.5340  0.4016  0.46
Fou 1978   42  0.2830  0.0059  0.0657  0.0653  0.0556  0.05
Francois 1956   63  0.2131  0.0063  0.0562  0.0554  0.0664  0.05
Friedman 1923   18  0.3832  0.0021  0.0913  0.5531  0.4713  0.51
Friedman 1923b   16  0.4033  0.0015  0.089  0.5931  0.508  0.54
Friedman 1930   12  0.4034  0.009  0.186  0.6519  0.606  0.62
Garcia 2007   48  0.2735  0.0046  0.0750  0.0770  0.0459  0.05
Garcia 2007b   6  0.4436  0.003  0.218  0.629  0.694  0.65
Gierzod 1998   82  0.0737  0.0081  0.0379  0.0384  0.0287  0.02
Gornostaeva 1994   70  0.1638  0.0067  0.0655  0.0671  0.0372  0.04
Groot 1988   13  0.4039  0.0011  0.0828  0.4132  0.2530  0.32
Harasiewicz 1955   61  0.2240  0.0066  0.0561  0.0581  0.0375  0.04
Hatto 1993   35  0.3141  0.0017  0.0723  0.4339  0.2331  0.31
Hatto 1997   38  0.2942  0.0013  0.1030  0.4024  0.3028  0.35
Horowitz 1949   3  0.4743  0.006  0.124  0.6711  0.693  0.68
Indjic 1988   30  0.3344  0.0012  0.0817  0.5329  0.3521  0.43
Kapell 1951   14  0.4045  0.0014  0.0912  0.5618  0.4414  0.50
Kissin 1993   60  0.2246  0.0058  0.0560  0.0549  0.0851  0.06
Kushner 1989   34  0.3247  0.0047  0.0846  0.0868  0.0449  0.06
Luisada 1991   5  0.4648  0.007  0.127  0.6515  0.605  0.62
Lushtak 2004   44  0.2849  0.0045  0.0658  0.0632  0.1944  0.11
Malcuzynski 1961   11  0.4050  0.0031  0.0926  0.4328  0.2827  0.35
Magaloff 1978   39  0.2951  0.0041  0.0743  0.1357  0.0547  0.08
Magin 1975   47  0.2752  0.0039  0.0642  0.1438  0.2639  0.19
Michalowski 1933   28  0.3453  0.0036  0.0935  0.2841  0.2037  0.24
Milkina 1970   81  0.0854  0.0080  0.0380  0.0388  0.0285  0.02
Mohovich 1999   79  0.1155  0.0078  0.0382  0.0368  0.0480  0.03
Moravec 1969   29  0.3356  0.0038  0.0738  0.1743  0.1240  0.14
Morozova 2008   23  0.366  0.0022  0.0921  0.4723  0.3523  0.41
Neighaus 1950   56  0.2557  0.0060  0.0565  0.0582  0.0374  0.04
Niedzielski 1931   22  0.3658  0.0034  0.1232  0.3332  0.2534  0.29
Ohlsson 1999   40  0.2959  0.0056  0.0566  0.0554  0.0557  0.05
Osinska 1989   71  0.1660  0.0065  0.0567  0.0570  0.0365  0.04
Pachmann 1927   24  0.3561  0.0033  0.1422  0.4428  0.4718  0.45
Paderewski 1930   57  0.2362  0.0049  0.0748  0.0759  0.0650  0.06
Perlemuter 1992   53  0.2563  0.0055  0.0654  0.0650  0.0553  0.05
Pierdomenico 2008   41  0.2864  0.0052  0.0945  0.0937  0.1841  0.13
Poblocka 1999   26  0.3565  0.0032  0.1024  0.4319  0.4320  0.43
Rabcewiczowa 1932   68  0.1866  0.0073  0.0475  0.0460  0.0568  0.04
Rachmaninoff 1923   2  0.5867  0.002  0.442  0.783  0.812  0.79
Rangell 2001   62  0.2168  0.0070  0.0469  0.0474  0.0473  0.04
Richter 1976   31  0.3369  0.0020  0.0825  0.4338  0.4022  0.41
Rosen 1989   55  0.2570  0.0050  0.0653  0.0651  0.0562  0.05
Rosenthal 1930   51  0.267  0.0064  0.0564  0.0560  0.0560  0.05
Rosenthal 1931   87  0.0371  0.0084  0.0287  0.0287  0.0286  0.02
Rosenthal 1931b   80  0.0872  0.0083  0.0378  0.0380  0.0289  0.02
Rosenthal 1931c   74  0.1573  0.0074  0.0470  0.0468  0.0383  0.03
Rosenthal 1931d   72  0.1574  0.0071  0.0563  0.0544  0.1348  0.08
Rossi 2007   85  0.0575  0.0079  0.0381  0.0354  0.0567  0.04
Rubinstein 1939   58  0.238  0.0057  0.0472  0.0453  0.0755  0.05
Rubinstein 1952   69  0.1776  0.0061  0.0559  0.0547  0.0663  0.05
Rubinstein 1966   75  0.1377  0.0072  0.0468  0.0485  0.0377  0.03
Schilhawsky 1960   43  0.2878  0.0035  0.0936  0.2325  0.3933  0.30
Shebanova 2002   9  0.4279  0.008  0.133  0.6738  0.3912  0.51
Smith 1975   84  0.0680  0.0087  0.0286  0.0285  0.0284  0.02
Sokolov 2002   54  0.2581  0.0054  0.0652  0.0646  0.0554  0.05
Sztompka 1959   10  0.4182  0.0019  0.1015  0.5329  0.3919  0.45
Tomsic 1995   49  0.2783  0.0027  0.0933  0.3029  0.2235  0.26
Uninsky 1932   17  0.3984  0.0024  0.1119  0.5040  0.2029  0.32
Uninsky 1971   64  0.2185  0.0062  0.0656  0.0669  0.0458  0.05
Wasowski 1980   8  0.4286  0.0016  0.0718  0.5029  0.4615  0.48
Zak 1937   27  0.3487  0.0028  0.0831  0.3526  0.3826  0.36
Zak 1951   33  0.329  0.0030  0.0934  0.2831  0.3232  0.30
Random 1   89  -0.0288  0.0089  0.0288  0.0256  0.0479  0.03
Random 2   86  0.0589  0.0082  0.0383  0.0350  0.0670  0.04
Random 3   90  -0.1090  0.0090  0.0190  0.0150  0.0488  0.02

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).