Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.751  0.381  0.382  0.681  0.751  0.71
Anderszewski 2003   55  0.4970  0.0050  0.0549  0.0525  0.2852  0.12
Ashkenazy 1981   37  0.5745  0.0037  0.0539  0.1142  0.1157  0.11
Bacha 2000   58  0.4753  0.0067  0.0375  0.0320  0.4354  0.11
Badura 1965   38  0.5641  0.0026  0.0821  0.343  0.6214  0.46
Barbosa 1983   49  0.5260  0.0040  0.0536  0.1425  0.4037  0.24
Biret 1990   35  0.5715  0.0134  0.0635  0.1519  0.4634  0.26
Blet 2003   44  0.5487  0.0049  0.0552  0.0537  0.1762  0.09
Block 1995   67  0.4488  0.0078  0.0371  0.0373  0.0385  0.03
Blumental 1952   73  0.3880  0.0054  0.0458  0.0438  0.1667  0.08
Boshniakovich 1969   48  0.5233  0.0057  0.0462  0.0441  0.1668  0.08
Brailowsky 1960   28  0.598  0.0236  0.0542  0.109  0.4638  0.21
Bunin 1987   18  0.6418  0.0113  0.1217  0.429  0.4816  0.45
Bunin 1987b   16  0.649  0.0212  0.1016  0.429  0.4815  0.45
Chiu 1999   71  0.4289  0.0069  0.0369  0.0355  0.0577  0.04
Cohen 1997   79  0.3421  0.0171  0.0379  0.0338  0.1469  0.06
Cortot 1951   47  0.5247  0.0053  0.0467  0.0419  0.3553  0.12
Csalog 1996   80  0.3371  0.0083  0.0380  0.0368  0.0483  0.03
Czerny 1949   8  0.6825  0.018  0.156  0.594  0.743  0.66
Czerny 1990   22  0.6258  0.0027  0.0724  0.3022  0.3031  0.30
Duchoud 2007   40  0.5539  0.0044  0.0445  0.0830  0.3743  0.17
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   26  0.6129  0.0025  0.0830  0.2715  0.3529  0.31
Farrell 1958   65  0.4540  0.0074  0.0378  0.0343  0.1071  0.05
Ferenczy 1958   25  0.6128  0.0035  0.0534  0.153  0.5632  0.29
Fliere 1977   21  0.6255  0.0031  0.0632  0.2226  0.2636  0.24
Fou 1978   31  0.585  0.0514  0.1020  0.3427  0.3824  0.36
Francois 1956   9  0.6612  0.015  0.158  0.554  0.598  0.57
Friedman 1923   84  0.2090  0.0081  0.0283  0.0251  0.0686  0.03
Friedman 1923b   85  0.2081  0.0082  0.0373  0.0345  0.0775  0.05
Friedman 1930   74  0.3782  0.0063  0.0464  0.0429  0.3056  0.11
Garcia 2007   86  0.1859  0.0084  0.0284  0.0264  0.0484  0.03
Garcia 2007b   87  0.1777  0.0086  0.0288  0.0283  0.0290  0.02
Gierzod 1998   23  0.6142  0.0021  0.0818  0.394  0.4718  0.43
Gornostaeva 1994   5  0.7111  0.027  0.169  0.525  0.619  0.56
Groot 1988   13  0.6435  0.0023  0.0923  0.3118  0.3827  0.34
Harasiewicz 1955   39  0.5674  0.0019  0.0927  0.2919  0.3330  0.31
Hatto 1993   77  0.3522  0.0160  0.0553  0.0528  0.2558  0.11
Hatto 1997   63  0.466  0.0320  0.0822  0.3310  0.4622  0.39
Horowitz 1949   70  0.4356  0.0066  0.0556  0.0536  0.1466  0.08
Indjic 1988   76  0.3631  0.0061  0.0844  0.0826  0.2546  0.14
Kapell 1951   41  0.5554  0.0051  0.0555  0.0535  0.2750  0.12
Kissin 1993   24  0.6144  0.0032  0.0731  0.2427  0.3133  0.27
Kushner 1989   30  0.5948  0.0047  0.0648  0.0630  0.2449  0.12
Luisada 1991   42  0.5578  0.0052  0.0460  0.0436  0.1960  0.09
Lushtak 2004   20  0.6317  0.0116  0.1310  0.496  0.5611  0.52
Malcuzynski 1961   3  0.733  0.073  0.164  0.654  0.575  0.61
Magaloff 1978   12  0.6434  0.0022  0.0815  0.4226  0.2528  0.32
Magin 1975   57  0.4867  0.0059  0.0468  0.0436  0.1765  0.08
Michalowski 1933   81  0.3383  0.0077  0.0377  0.0351  0.0579  0.04
Milkina 1970   46  0.5365  0.0062  0.0461  0.0446  0.0772  0.05
Mohovich 1999   6  0.7038  0.009  0.237  0.564  0.637  0.59
Moravec 1969   60  0.4757  0.0064  0.0550  0.0555  0.0570  0.05
Morozova 2008   15  0.644  0.0611  0.1314  0.447  0.4417  0.44
Neighaus 1950   7  0.697  0.026  0.143  0.6613  0.556  0.60
Niedzielski 1931   82  0.2766  0.0085  0.0287  0.0288  0.0287  0.02
Ohlsson 1999   10  0.6637  0.0015  0.1311  0.488  0.4913  0.48
Osinska 1989   32  0.5826  0.0148  0.0746  0.0715  0.3942  0.17
Pachmann 1927   72  0.3951  0.0072  0.0376  0.0357  0.0578  0.04
Paderewski 1930   61  0.4784  0.0076  0.0381  0.0375  0.0382  0.03
Perlemuter 1992   43  0.5550  0.0045  0.0551  0.0529  0.2748  0.12
Pierdomenico 2008   64  0.4662  0.0070  0.0459  0.0435  0.1961  0.09
Poblocka 1999   19  0.6316  0.0124  0.0826  0.2913  0.3925  0.34
Rabcewiczowa 1932   27  0.6019  0.0133  0.0833  0.2011  0.5826  0.34
Rachmaninoff 1923   54  0.5068  0.0041  0.0438  0.1125  0.2841  0.18
Rangell 2001   29  0.5913  0.0128  0.0625  0.307  0.5223  0.39
Richter 1976   69  0.4385  0.0075  0.0282  0.0272  0.0388  0.02
Rosen 1989   17  0.6410  0.0210  0.1912  0.486  0.5910  0.53
Rosenthal 1930   36  0.5727  0.0030  0.0928  0.296  0.6419  0.43
Rosenthal 1931   59  0.4724  0.0139  0.0541  0.105  0.6335  0.25
Rosenthal 1931b   68  0.4436  0.0058  0.0465  0.047  0.5445  0.15
Rosenthal 1931c   34  0.5749  0.0029  0.0729  0.276  0.6621  0.42
Rosenthal 1931d   66  0.4530  0.0065  0.0647  0.0613  0.4044  0.15
Rossi 2007   78  0.3586  0.0080  0.0370  0.0329  0.2164  0.08
Rubinstein 1939   83  0.2163  0.0087  0.0285  0.0263  0.0481  0.03
Rubinstein 1952   62  0.4761  0.0073  0.0463  0.0461  0.0580  0.04
Rubinstein 1966   45  0.5432  0.0038  0.0540  0.1126  0.3240  0.19
Schilhawsky 1960   51  0.5169  0.0055  0.0466  0.0427  0.2855  0.11
Shebanova 2002   53  0.5046  0.0068  0.0372  0.0345  0.0873  0.05
Smith 1975   1  0.752  0.122  0.261  0.721  0.682  0.70
Sokolov 2002   11  0.6623  0.0118  0.0919  0.3811  0.4620  0.42
Sztompka 1959   33  0.5764  0.0046  0.0554  0.0529  0.3151  0.12
Tomsic 1995   4  0.7214  0.014  0.155  0.641  0.644  0.64
Uninsky 1932   52  0.5143  0.0043  0.0443  0.0829  0.2247  0.13
Uninsky 1971   14  0.6420  0.0117  0.0913  0.457  0.5312  0.49
Wasowski 1980   75  0.3672  0.0079  0.0374  0.0351  0.0576  0.04
Zak 1937   56  0.4879  0.0056  0.0557  0.0538  0.1959  0.10
Zak 1951   50  0.5275  0.0042  0.0537  0.1230  0.3039  0.19
Random 1   90  -0.0452  0.0090  0.0190  0.0157  0.0489  0.02
Random 2   89  -0.0173  0.0089  0.0286  0.0239  0.1274  0.05
Random 3   88  0.0476  0.0088  0.0289  0.0212  0.4063  0.09

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).