Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.821  0.271  0.271  0.611  0.621  0.61
Anderszewski 2003   59  0.6064  0.0051  0.0459  0.0423  0.3057  0.11
Ashkenazy 1981   32  0.7066  0.0032  0.0531  0.1822  0.3335  0.24
Bacha 2000   70  0.5171  0.0074  0.0283  0.0239  0.1270  0.05
Badura 1965   44  0.6645  0.0034  0.0529  0.184  0.5924  0.33
Barbosa 1983   52  0.6367  0.0031  0.0633  0.1810  0.4329  0.28
Biret 1990   28  0.7128  0.0043  0.0442  0.0914  0.3342  0.17
Blet 2003   16  0.7669  0.0021  0.0919  0.326  0.5119  0.40
Block 1995   64  0.5432  0.0075  0.0374  0.0351  0.0483  0.03
Blumental 1952   81  0.4060  0.0070  0.0372  0.0336  0.1269  0.06
Boshniakovich 1969   49  0.6436  0.0064  0.0368  0.0331  0.1964  0.08
Brailowsky 1960   51  0.6316  0.0268  0.0380  0.0342  0.1071  0.05
Bunin 1987   14  0.7644  0.0014  0.0815  0.386  0.4916  0.43
Bunin 1987b   13  0.768  0.0413  0.0816  0.386  0.4914  0.43
Chiu 1999   63  0.5570  0.0062  0.0461  0.0435  0.1465  0.07
Cohen 1997   83  0.2427  0.0086  0.0376  0.0357  0.0484  0.03
Cortot 1951   58  0.6152  0.0063  0.0371  0.0330  0.2663  0.09
Csalog 1996   80  0.4137  0.0084  0.0373  0.0350  0.0678  0.04
Czerny 1949   18  0.7540  0.0019  0.0912  0.4112  0.4713  0.44
Czerny 1990   5  0.836  0.046  0.137  0.516  0.488  0.49
Duchoud 2007   24  0.7425  0.0012  0.0814  0.386  0.4915  0.43
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   23  0.7417  0.0224  0.0724  0.2719  0.3127  0.29
Farrell 1958   61  0.5649  0.0073  0.0282  0.0271  0.0388  0.02
Ferenczy 1958   39  0.6834  0.0058  0.0645  0.0611  0.4444  0.16
Fliere 1977   6  0.8311  0.0210  0.189  0.467  0.4410  0.45
Fou 1978   42  0.679  0.0323  0.0828  0.2128  0.3332  0.26
Francois 1956   20  0.7529  0.007  0.1311  0.438  0.4812  0.45
Friedman 1923   86  0.2284  0.0082  0.0370  0.0324  0.3461  0.10
Friedman 1923b   85  0.2385  0.0081  0.0381  0.0323  0.3360  0.10
Friedman 1930   76  0.4678  0.0057  0.0647  0.0623  0.3549  0.14
Garcia 2007   82  0.3853  0.0077  0.0379  0.0357  0.0482  0.03
Garcia 2007b   84  0.2450  0.0085  0.0287  0.0258  0.0486  0.03
Gierzod 1998   34  0.6942  0.0048  0.0457  0.0423  0.2262  0.09
Gornostaeva 1994   9  0.8013  0.0211  0.1313  0.404  0.5111  0.45
Groot 1988   15  0.7626  0.0022  0.0922  0.2820  0.3626  0.32
Harasiewicz 1955   45  0.6668  0.0016  0.0920  0.3011  0.4021  0.35
Hatto 1993   79  0.4110  0.0342  0.0639  0.1118  0.3341  0.19
Hatto 1997   71  0.507  0.0427  0.0735  0.179  0.4530  0.28
Horowitz 1949   66  0.5472  0.0071  0.0377  0.0334  0.1766  0.07
Indjic 1988   77  0.4330  0.0041  0.0438  0.1214  0.4036  0.22
Kapell 1951   30  0.7133  0.0047  0.0650  0.0624  0.3848  0.15
Kissin 1993   17  0.7648  0.0028  0.0723  0.2811  0.4820  0.37
Kushner 1989   22  0.7479  0.0033  0.0532  0.1813  0.3733  0.26
Luisada 1991   38  0.6973  0.0052  0.0553  0.0525  0.2751  0.12
Lushtak 2004   11  0.785  0.049  0.173  0.561  0.604  0.58
Malcuzynski 1961   3  0.844  0.074  0.122  0.593  0.612  0.60
Magaloff 1978   21  0.7547  0.0029  0.0726  0.2425  0.3328  0.28
Magin 1975   53  0.6386  0.0050  0.0462  0.0423  0.2358  0.10
Michalowski 1933   75  0.4780  0.0061  0.0456  0.0434  0.2856  0.11
Milkina 1970   50  0.6456  0.0065  0.0465  0.0457  0.0575  0.04
Mohovich 1999   2  0.842  0.112  0.146  0.541  0.625  0.58
Moravec 1969   62  0.5563  0.0076  0.0378  0.0372  0.0380  0.03
Morozova 2008   27  0.7215  0.0215  0.0921  0.305  0.3823  0.34
Neighaus 1950   8  0.8012  0.028  0.145  0.546  0.546  0.54
Niedzielski 1931   78  0.4189  0.0083  0.0286  0.0257  0.0481  0.03
Ohlsson 1999   12  0.7719  0.0120  0.0810  0.435  0.557  0.49
Osinska 1989   29  0.7123  0.0049  0.0458  0.0417  0.3452  0.12
Pachmann 1927   74  0.4787  0.0080  0.0552  0.0549  0.0572  0.05
Paderewski 1930   56  0.6274  0.0069  0.0375  0.0349  0.0577  0.04
Perlemuter 1992   31  0.7141  0.0035  0.0536  0.1321  0.3438  0.21
Pierdomenico 2008   36  0.6961  0.0055  0.0454  0.0425  0.2854  0.11
Poblocka 1999   19  0.7554  0.0030  0.0627  0.2410  0.4822  0.34
Rabcewiczowa 1932   37  0.6938  0.0056  0.0648  0.0619  0.3647  0.15
Rachmaninoff 1923   48  0.6431  0.0037  0.0734  0.1715  0.3534  0.24
Rangell 2001   41  0.6720  0.0153  0.0551  0.058  0.3950  0.14
Richter 1976   60  0.6090  0.0066  0.0460  0.0461  0.0476  0.04
Rosen 1989   25  0.7318  0.0218  0.0818  0.326  0.5417  0.42
Rosenthal 1930   46  0.6562  0.0054  0.0646  0.0614  0.4546  0.16
Rosenthal 1931   67  0.5346  0.0060  0.0463  0.0431  0.2459  0.10
Rosenthal 1931b   72  0.4743  0.0078  0.0284  0.0241  0.1079  0.04
Rosenthal 1931c   43  0.6775  0.0039  0.0541  0.0910  0.4739  0.21
Rosenthal 1931d   69  0.5139  0.0079  0.0367  0.0362  0.0485  0.03
Rossi 2007   73  0.4781  0.0059  0.0466  0.0411  0.2853  0.11
Rubinstein 1939   87  0.2076  0.0088  0.0288  0.0279  0.0387  0.02
Rubinstein 1952   65  0.5435  0.0040  0.0443  0.0952  0.0668  0.07
Rubinstein 1966   55  0.6221  0.0126  0.0637  0.1225  0.3937  0.22
Schilhawsky 1960   33  0.6957  0.0025  0.0625  0.259  0.4225  0.32
Shebanova 2002   54  0.6351  0.0067  0.0369  0.0344  0.1073  0.05
Smith 1975   1  0.843  0.083  0.098  0.513  0.439  0.47
Sokolov 2002   10  0.7922  0.0117  0.1217  0.356  0.4618  0.40
Sztompka 1959   26  0.7277  0.0038  0.0540  0.1025  0.3540  0.19
Tomsic 1995   4  0.8414  0.025  0.144  0.552  0.623  0.58
Uninsky 1932   57  0.6258  0.0044  0.0444  0.0825  0.3445  0.16
Uninsky 1971   35  0.6924  0.0045  0.0649  0.0617  0.4243  0.16
Wasowski 1980   68  0.5165  0.0072  0.0464  0.0470  0.0474  0.04
Zak 1937   47  0.6588  0.0046  0.0455  0.0419  0.3255  0.11
Zak 1951   40  0.6859  0.0036  0.0630  0.1814  0.4131  0.27
Random 1   89  -0.1255  0.0090  0.0190  0.0162  0.0390  0.02
Random 2   90  -0.1782  0.0089  0.0289  0.0284  0.0289  0.02
Random 3   88  0.0783  0.0087  0.0285  0.0227  0.2267  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).