Bunin 1987

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.5533  0.0024  0.1424  0.3571  0.0427  0.12
Anderszewski 2003   49  0.4234  0.0033  0.0540  0.1980  0.0344  0.08
Ashkenazy 1981   21  0.5520  0.0018  0.1114  0.4657  0.0418  0.14
Bacha 2000   69  0.3135  0.0068  0.0560  0.0588  0.0357  0.04
Badura 1965   15  0.5736  0.008  0.1120  0.4134  0.338  0.37
Barbosa 1983   78  0.2537  0.0072  0.0470  0.0481  0.0377  0.03
Biret 1990   71  0.3021  0.0067  0.0471  0.0478  0.0381  0.03
Blet 2003   62  0.3638  0.0066  0.0559  0.0588  0.0279  0.03
Block 1995   53  0.429  0.0054  0.0557  0.0575  0.0366  0.04
Blumental 1952   67  0.3214  0.0062  0.0468  0.0481  0.0380  0.03
Boshniakovich 1969   9  0.6139  0.0017  0.158  0.5042  0.189  0.30
Brailowsky 1960   70  0.3040  0.0071  0.0558  0.0585  0.0360  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   59  0.3841  0.0048  0.0652  0.0676  0.0361  0.04
Cohen 1997   87  0.126  0.0083  0.0288  0.0272  0.0389  0.02
Cortot 1951   26  0.5242  0.0025  0.0925  0.3353  0.0526  0.13
Csalog 1996   63  0.357  0.0059  0.0655  0.0682  0.0364  0.04
Czerny 1949   6  0.6422  0.005  0.155  0.5437  0.316  0.41
Czerny 1990   61  0.3643  0.0065  0.0472  0.0453  0.0469  0.04
Duchoud 2007   27  0.5110  0.0032  0.0527  0.3043  0.1213  0.19
Ezaki 2006   51  0.4244  0.0051  0.0656  0.0670  0.0356  0.04
Falvay 1989   81  0.2045  0.0084  0.0285  0.0274  0.0386  0.02
Farrell 1958   77  0.2546  0.0077  0.0374  0.0376  0.0476  0.03
Ferenczy 1958   24  0.5247  0.0039  0.0635  0.2355  0.0531  0.11
Fliere 1977   20  0.5515  0.0023  0.1622  0.4076  0.0421  0.13
Fou 1978   50  0.4216  0.0057  0.0651  0.0670  0.0451  0.05
Francois 1956   56  0.3948  0.0063  0.0469  0.0474  0.0471  0.04
Friedman 1923   42  0.4649  0.0034  0.0729  0.2947  0.0720  0.14
Friedman 1923b   45  0.4523  0.0036  0.0833  0.2547  0.0725  0.13
Friedman 1930   40  0.4624  0.0035  0.0637  0.2348  0.0724  0.13
Garcia 2007   41  0.465  0.0052  0.0750  0.0787  0.0265  0.04
Garcia 2007b   33  0.508  0.0045  0.0743  0.1468  0.0446  0.07
Gierzod 1998   30  0.5050  0.0042  0.0828  0.2980  0.0340  0.09
Gornostaeva 1994   57  0.3925  0.0037  0.0645  0.1181  0.0349  0.06
Groot 1988   37  0.4626  0.0027  0.0644  0.1355  0.0641  0.09
Harasiewicz 1955   16  0.5651  0.009  0.1011  0.4935  0.1512  0.27
Hatto 1993   44  0.4552  0.0031  0.0536  0.2376  0.0436  0.10
Hatto 1997   38  0.4653  0.0029  0.0531  0.2564  0.0530  0.11
Horowitz 1949   3  0.663  0.006  0.174  0.5424  0.453  0.49
Indjic 1988   39  0.4654  0.0030  0.0532  0.2570  0.0435  0.10
Kapell 1951   11  0.5917  0.0013  0.0915  0.4668  0.0415  0.14
Kissin 1993   31  0.5055  0.0044  0.0741  0.1988  0.0247  0.06
Kushner 1989   47  0.4456  0.0053  0.0748  0.0784  0.0352  0.05
Luisada 1991   54  0.4157  0.0055  0.0561  0.0575  0.0458  0.04
Lushtak 2004   32  0.5058  0.0026  0.0726  0.3067  0.0433  0.11
Malcuzynski 1961   46  0.4459  0.0028  0.0542  0.1856  0.0442  0.08
Magaloff 1978   72  0.2960  0.0074  0.0467  0.0486  0.0372  0.03
Magin 1975   25  0.5211  0.0019  0.0918  0.4556  0.0422  0.13
Michalowski 1933   18  0.5661  0.0011  0.087  0.5123  0.287  0.38
Milkina 1970   68  0.314  0.0073  0.0654  0.0670  0.0453  0.05
Mohovich 1999   60  0.3762  0.0058  0.0562  0.0581  0.0468  0.04
Moravec 1969   82  0.2063  0.0075  0.0378  0.0387  0.0285  0.02
Morozova 2008   43  0.4564  0.0047  0.0846  0.0876  0.0354  0.05
Neighaus 1950   12  0.5865  0.0014  0.0812  0.4873  0.0419  0.14
Niedzielski 1931   48  0.4327  0.0050  0.0653  0.0666  0.0450  0.05
Ohlsson 1999   23  0.5266  0.0020  0.1216  0.4569  0.0423  0.13
Osinska 1989   58  0.3867  0.0064  0.0473  0.0473  0.0459  0.04
Pachmann 1927   36  0.4768  0.0046  0.0847  0.0844  0.1039  0.09
Paderewski 1930   52  0.4269  0.0056  0.0564  0.0584  0.0363  0.04
Perlemuter 1992   28  0.5170  0.0040  0.0638  0.2272  0.0438  0.09
Pierdomenico 2008   75  0.2771  0.0076  0.0379  0.0385  0.0374  0.03
Poblocka 1999   10  0.5972  0.007  0.1213  0.4740  0.1610  0.27
Rabcewiczowa 1932   64  0.3473  0.0060  0.0565  0.0576  0.0462  0.04
Rachmaninoff 1923   35  0.4874  0.0041  0.0830  0.2964  0.0428  0.11
Rangell 2001   73  0.282  0.0061  0.0566  0.0562  0.0370  0.04
Richter 1976   2  0.6875  0.002  0.273  0.5710  0.552  0.56
Rosen 1989   66  0.3376  0.0070  0.0563  0.0574  0.0467  0.04
Rosenthal 1930   55  0.4177  0.0049  0.0749  0.0761  0.0455  0.05
Rosenthal 1931   85  0.1728  0.0087  0.0282  0.0277  0.0478  0.03
Rosenthal 1931b   84  0.1878  0.0086  0.0284  0.0278  0.0482  0.03
Rosenthal 1931c   79  0.2329  0.0078  0.0376  0.0383  0.0383  0.03
Rosenthal 1931d   86  0.1512  0.0088  0.0286  0.0276  0.0390  0.02
Rossi 2007   89  0.0518  0.0091  0.0191  0.0187  0.0291  0.01
Rubinstein 1939   76  0.2613  0.0080  0.0287  0.0280  0.0475  0.03
Rubinstein 1952   80  0.2279  0.0082  0.0377  0.0381  0.0484  0.03
Rubinstein 1966   83  0.1930  0.0085  0.0281  0.0283  0.0388  0.02
Schilhawsky 1960   5  0.6480  0.003  0.242  0.5833  0.374  0.46
Shebanova 2002   17  0.5681  0.0021  0.0921  0.4182  0.0332  0.11
Smith 1975   65  0.3482  0.0069  0.0375  0.0365  0.0473  0.03
Sokolov 2002   22  0.5383  0.0010  0.0917  0.4536  0.1611  0.27
Sztompka 1959   34  0.4884  0.0043  0.0734  0.2478  0.0343  0.08
Tomsic 1995   74  0.2831  0.0081  0.0283  0.0280  0.0387  0.02
Uninsky 1932   14  0.5732  0.0012  0.0919  0.4349  0.0714  0.17
Uninsky 1971   4  0.6585  0.004  0.186  0.5131  0.375  0.43
Wasowski 1980   29  0.5119  0.0038  0.0539  0.2279  0.0437  0.09
Zak 1937   7  0.6286  0.0016  0.149  0.4961  0.0416  0.14
Zak 1951   8  0.6287  0.0015  0.1110  0.4961  0.0417  0.14
Average   13  0.5788  0.0022  0.1023  0.3982  0.0329  0.11
Random 1   90  0.0189  0.0079  0.0280  0.022  0.5634  0.11
Random 2   91  -0.0390  0.0090  0.0190  0.0112  0.3948  0.06
Random 3   88  0.0691  0.0089  0.0189  0.017  0.5445  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).