Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.3969  0.0055  0.0554  0.0568  0.0456  0.04
Anderszewski 2003   33  0.3912  0.0131  0.0536  0.1387  0.0345  0.06
Ashkenazy 1981   26  0.4046  0.0061  0.0370  0.0367  0.0481  0.03
Bacha 2000   3  0.5232  0.007  0.161  0.5333  0.204  0.33
Badura 1965   60  0.3151  0.0072  0.0372  0.0383  0.0379  0.03
Barbosa 1983   16  0.4625  0.0019  0.0919  0.3379  0.0423  0.11
Biret 1990   14  0.4852  0.0017  0.0618  0.3484  0.0328  0.10
Blet 2003   27  0.402  0.212  0.215  0.4924  0.302  0.38
Block 1995   83  0.1780  0.0078  0.0286  0.0278  0.0480  0.03
Blumental 1952   1  0.564  0.063  0.2011  0.4253  0.0512  0.14
Boshniakovich 1969   65  0.3060  0.0054  0.0550  0.0582  0.0458  0.04
Brailowsky 1960   49  0.3553  0.0060  0.0465  0.0465  0.0550  0.04
Bunin 1987   81  0.2179  0.0081  0.0385  0.0372  0.0482  0.03
Bunin 1987b   82  0.2084  0.0082  0.0462  0.0470  0.0453  0.04
Chiu 1999   5  0.5220  0.0118  0.0821  0.3062  0.0419  0.11
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   62  0.3044  0.0067  0.0376  0.0357  0.0560  0.04
Csalog 1996   50  0.3531  0.0010  0.1013  0.4042  0.136  0.23
Czerny 1949   68  0.2940  0.0075  0.0455  0.0487  0.0275  0.03
Czerny 1990   24  0.4185  0.0033  0.0434  0.1981  0.0336  0.08
Duchoud 2007   54  0.3330  0.0063  0.0375  0.0383  0.0377  0.03
Ezaki 2006   20  0.4354  0.0039  0.0442  0.1165  0.0437  0.07
Falvay 1989   9  0.503  0.104  0.172  0.5236  0.253  0.36
Farrell 1958   15  0.4755  0.0020  0.0623  0.2975  0.0420  0.11
Ferenczy 1958   45  0.3664  0.0038  0.0543  0.1084  0.0348  0.05
Fliere 1977   38  0.3829  0.0037  0.0437  0.1371  0.0438  0.07
Fou 1978   7  0.5173  0.0014  0.138  0.4582  0.0317  0.12
Francois 1956   37  0.3936  0.0029  0.0627  0.2474  0.0429  0.10
Friedman 1923   61  0.3057  0.0080  0.0383  0.0387  0.0290  0.02
Friedman 1923b   64  0.3070  0.0079  0.0384  0.0387  0.0289  0.02
Friedman 1930   63  0.3066  0.0076  0.0380  0.0387  0.0286  0.02
Garcia 2007   31  0.3965  0.0049  0.0551  0.0569  0.0457  0.04
Garcia 2007b   19  0.437  0.0315  0.1010  0.4259  0.0415  0.13
Gierzod 1998   43  0.3733  0.0036  0.0540  0.1164  0.0441  0.07
Gornostaeva 1994   55  0.3341  0.0048  0.0549  0.0577  0.0359  0.04
Groot 1988   39  0.3824  0.0028  0.0520  0.3065  0.0425  0.11
Harasiewicz 1955   34  0.3921  0.0152  0.0458  0.0484  0.0384  0.03
Hatto 1993   13  0.4816  0.0111  0.1114  0.4066  0.0414  0.13
Hatto 1997   11  0.4942  0.0012  0.1015  0.4068  0.0413  0.13
Horowitz 1949   85  0.1763  0.0086  0.0371  0.0379  0.0367  0.03
Indjic 1988   12  0.4827  0.0013  0.1216  0.3973  0.0322  0.11
Kapell 1951   57  0.3213  0.0150  0.0647  0.0671  0.0447  0.05
Kissin 1993   59  0.3161  0.0070  0.0466  0.0487  0.0271  0.03
Kushner 1989   22  0.429  0.0224  0.0512  0.4178  0.0321  0.11
Luisada 1991   17  0.4610  0.0123  0.0624  0.2873  0.0330  0.09
Lushtak 2004   6  0.5248  0.008  0.126  0.4761  0.0510  0.15
Malcuzynski 1961   87  0.1459  0.0085  0.0381  0.0380  0.0366  0.03
Magaloff 1978   41  0.3826  0.0030  0.0631  0.2185  0.0244  0.06
Magin 1975   71  0.2782  0.0069  0.0461  0.0461  0.0451  0.04
Michalowski 1933   84  0.1737  0.0083  0.0287  0.0283  0.0385  0.02
Milkina 1970   25  0.4118  0.0116  0.117  0.4678  0.0411  0.14
Mohovich 1999   21  0.4362  0.0026  0.0626  0.2676  0.0427  0.10
Moravec 1969   40  0.388  0.0246  0.0645  0.0655  0.0546  0.05
Morozova 2008   51  0.3476  0.0066  0.0460  0.0484  0.0373  0.03
Neighaus 1950   58  0.3238  0.0071  0.0464  0.0486  0.0383  0.03
Niedzielski 1931   72  0.2772  0.0068  0.0463  0.0480  0.0365  0.03
Ohlsson 1999   29  0.406  0.0327  0.0732  0.2084  0.0335  0.08
Osinska 1989   28  0.4074  0.0035  0.0530  0.2277  0.0333  0.08
Pachmann 1927   80  0.2475  0.0084  0.0379  0.0376  0.0369  0.03
Paderewski 1930   48  0.3515  0.0122  0.0628  0.2354  0.0426  0.10
Perlemuter 1992   18  0.4471  0.0032  0.0429  0.2275  0.0332  0.08
Pierdomenico 2008   66  0.3019  0.0158  0.0378  0.0371  0.0464  0.03
Poblocka 1999   79  0.2488  0.0073  0.0457  0.0484  0.0361  0.03
Rabcewiczowa 1932   23  0.4250  0.009  0.1017  0.3875  0.0416  0.12
Rachmaninoff 1923   56  0.3389  0.0065  0.0373  0.0386  0.0363  0.03
Rangell 2001   70  0.2749  0.0044  0.0641  0.1161  0.0542  0.07
Richter 1976   86  0.1490  0.0087  0.0374  0.0382  0.0368  0.03
Rosen 1989   30  0.4017  0.0125  0.0622  0.3075  0.0424  0.11
Rosenthal 1930   77  0.2447  0.0051  0.0456  0.0472  0.0378  0.03
Rosenthal 1931   74  0.2639  0.0045  0.0646  0.0643  0.1531  0.09
Rosenthal 1931b   69  0.2822  0.0141  0.0533  0.1937  0.188  0.18
Rosenthal 1931c   73  0.2723  0.0042  0.0539  0.1242  0.1318  0.12
Rosenthal 1931d   75  0.2556  0.0056  0.0467  0.0443  0.1343  0.07
Rossi 2007   10  0.4914  0.0121  0.0625  0.2741  0.157  0.20
Rubinstein 1939   8  0.5111  0.015  0.179  0.4337  0.235  0.31
Rubinstein 1952   4  0.521  0.271  0.273  0.5228  0.361  0.43
Rubinstein 1966   2  0.545  0.036  0.174  0.4959  0.069  0.17
Schilhawsky 1960   78  0.2481  0.0077  0.0382  0.0387  0.0372  0.03
Shebanova 2002   46  0.3577  0.0057  0.0468  0.0485  0.0374  0.03
Smith 1975   42  0.3778  0.0034  0.0435  0.1586  0.0339  0.07
Sokolov 2002   53  0.3467  0.0059  0.0469  0.0480  0.0362  0.03
Sztompka 1959   47  0.3534  0.0064  0.0377  0.0373  0.0470  0.03
Tomsic 1995   52  0.3458  0.0043  0.0444  0.1053  0.0734  0.08
Uninsky 1932   67  0.2983  0.0074  0.0548  0.0584  0.0355  0.04
Uninsky 1971   76  0.2428  0.0053  0.0553  0.0586  0.0354  0.04
Wasowski 1980   44  0.3645  0.0062  0.0459  0.0463  0.0549  0.04
Zak 1937   35  0.3943  0.0047  0.0552  0.0584  0.0352  0.04
Zak 1951   32  0.3968  0.0040  0.0538  0.1281  0.0440  0.07
Random 1   90  -0.0887  0.0090  0.0190  0.0158  0.0387  0.02
Random 2   88  0.0035  0.0088  0.0188  0.0143  0.0776  0.03
Random 3   89  -0.0886  0.0089  0.0189  0.0176  0.0388  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).