Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.3918  0.0114  0.1211  0.5917  0.5115  0.55
Anderszewski 2003   45  0.2865  0.0020  0.1229  0.4321  0.4621  0.44
Ashkenazy 1981   60  0.2271  0.0069  0.0368  0.0371  0.0567  0.04
Bacha 2000   56  0.2574  0.0040  0.0841  0.2050  0.0642  0.11
Badura 1965   59  0.2456  0.0038  0.1038  0.2742  0.1332  0.19
Barbosa 1983   54  0.2575  0.0051  0.0656  0.0655  0.0559  0.05
Biret 1990   20  0.379  0.039  0.1216  0.5614  0.6312  0.59
Blet 2003   78  0.1557  0.0088  0.0286  0.0283  0.0288  0.02
Block 1995   28  0.3383  0.0041  0.0740  0.2261  0.0545  0.10
Blumental 1952   62  0.2266  0.0044  0.0546  0.1164  0.0551  0.07
Boshniakovich 1969   48  0.2784  0.0047  0.0653  0.0644  0.1346  0.09
Brailowsky 1960   34  0.3185  0.0035  0.0835  0.3629  0.4126  0.38
Bunin 1987   80  0.1567  0.0085  0.0287  0.0272  0.0482  0.03
Bunin 1987b   79  0.1551  0.0086  0.0285  0.0275  0.0472  0.03
Chiu 1999   33  0.3161  0.0061  0.0560  0.0583  0.0365  0.04
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   9  0.4213  0.0115  0.129  0.6212  0.6011  0.61
Csalog 1996   53  0.2540  0.0066  0.0365  0.0363  0.0566  0.04
Czerny 1949   7  0.4320  0.007  0.127  0.677  0.845  0.75
Czerny 1990   74  0.1653  0.0084  0.0367  0.0371  0.0383  0.03
Duchoud 2007   49  0.2723  0.0050  0.0655  0.0661  0.0561  0.05
Ezaki 2006   2  0.542  0.142  0.312  0.764  0.763  0.76
Falvay 1989   24  0.3542  0.0032  0.1231  0.4126  0.3527  0.38
Farrell 1958   38  0.3078  0.0043  0.0743  0.1643  0.1138  0.13
Ferenczy 1958   37  0.3124  0.0013  0.1622  0.5116  0.7510  0.62
Fliere 1977   55  0.2568  0.0063  0.0463  0.0457  0.0564  0.04
Fou 1978   46  0.2869  0.0042  0.0742  0.1778  0.0349  0.07
Francois 1956   4  0.528  0.033  0.293  0.751  0.842  0.79
Friedman 1923   75  0.1686  0.0090  0.0189  0.0174  0.0491  0.02
Friedman 1923b   77  0.1687  0.0089  0.0190  0.0174  0.0490  0.02
Friedman 1930   61  0.2238  0.0075  0.0278  0.0273  0.0480  0.03
Garcia 2007   64  0.2063  0.0046  0.0558  0.0547  0.0662  0.05
Garcia 2007b   68  0.1927  0.0060  0.0462  0.0457  0.0663  0.05
Gierzod 1998   65  0.2072  0.0030  0.0937  0.3462  0.0540  0.13
Gornostaeva 1994   6  0.477  0.0310  0.118  0.6412  0.667  0.65
Groot 1988   41  0.3073  0.0045  0.0644  0.1169  0.0553  0.07
Harasiewicz 1955   16  0.3811  0.0226  0.1225  0.4638  0.1930  0.30
Hatto 1993   67  0.1988  0.0074  0.0369  0.0376  0.0484  0.03
Hatto 1997   30  0.3239  0.0036  0.0934  0.3850  0.0636  0.15
Horowitz 1949   84  0.1447  0.0067  0.0371  0.0378  0.0474  0.03
Indjic 1988   76  0.1670  0.0082  0.0277  0.0277  0.0478  0.03
Kapell 1951   83  0.1489  0.0077  0.0283  0.0279  0.0470  0.03
Kissin 1993   89  0.0836  0.0079  0.0282  0.0282  0.0387  0.02
Kushner 1989   31  0.3143  0.0055  0.1145  0.1175  0.0450  0.07
Luisada 1991   66  0.2064  0.0081  0.0280  0.0282  0.0385  0.02
Lushtak 2004   23  0.3522  0.0028  0.1028  0.4418  0.4124  0.42
Malcuzynski 1961   39  0.3028  0.0037  0.1036  0.3458  0.0539  0.13
Magaloff 1978   17  0.3832  0.0034  0.1233  0.3942  0.1931  0.27
Magin 1975   87  0.1226  0.0091  0.0191  0.0176  0.0486  0.02
Michalowski 1933   73  0.1715  0.0172  0.0374  0.0383  0.0377  0.03
Milkina 1970   52  0.2512  0.0125  0.1126  0.4523  0.4420  0.44
Mohovich 1999   25  0.3431  0.0024  0.0919  0.5425  0.3522  0.43
Moravec 1969   44  0.2848  0.0039  0.0739  0.2557  0.0443  0.10
Morozova 2008   43  0.2859  0.0056  0.0651  0.0670  0.0460  0.05
Neighaus 1950   10  0.4214  0.0116  0.1510  0.5930  0.3123  0.43
Niedzielski 1931   72  0.1744  0.0078  0.0284  0.0265  0.0569  0.03
Ohlsson 1999   15  0.3921  0.0029  0.0932  0.4152  0.0537  0.14
Osinska 1989   8  0.4310  0.0218  0.1514  0.5819  0.5613  0.57
Pachmann 1927   35  0.3152  0.0049  0.0652  0.0665  0.0655  0.06
Paderewski 1930   85  0.1376  0.0083  0.0373  0.0386  0.0376  0.03
Perlemuter 1992   36  0.3177  0.0052  0.0749  0.0775  0.0456  0.05
Pierdomenico 2008   51  0.2558  0.0053  0.0748  0.0744  0.1048  0.08
Poblocka 1999   50  0.2562  0.0057  0.0650  0.0660  0.0557  0.05
Rabcewiczowa 1932   5  0.494  0.054  0.234  0.713  0.814  0.76
Rachmaninoff 1923   69  0.1945  0.0062  0.0461  0.0486  0.0368  0.03
Rangell 2001   42  0.3019  0.0023  0.1023  0.4926  0.3325  0.40
Richter 1976   57  0.2546  0.0076  0.0281  0.0278  0.0475  0.03
Rosen 1989   11  0.4116  0.0122  0.1012  0.5937  0.3419  0.45
Rosenthal 1930   27  0.3349  0.0033  0.1427  0.4419  0.4718  0.45
Rosenthal 1931   26  0.3454  0.008  0.1517  0.569  0.738  0.64
Rosenthal 1931b   32  0.3117  0.0111  0.1213  0.5811  0.719  0.64
Rosenthal 1931c   12  0.406  0.046  0.145  0.698  0.696  0.69
Rosenthal 1931d   47  0.2729  0.0019  0.1021  0.5210  0.6214  0.57
Rossi 2007   71  0.1841  0.0071  0.0375  0.0340  0.1254  0.06
Rubinstein 1939   22  0.3534  0.0031  0.0930  0.4225  0.2729  0.34
Rubinstein 1952   21  0.365  0.0517  0.1318  0.5421  0.4716  0.50
Rubinstein 1966   19  0.3730  0.0021  0.1015  0.5629  0.2628  0.38
Schilhawsky 1960   82  0.1479  0.0087  0.0288  0.0271  0.0479  0.03
Shebanova 2002   58  0.2480  0.0073  0.0372  0.0374  0.0481  0.03
Smith 1975   1  0.581  0.361  0.351  0.831  0.871  0.85
Sokolov 2002   63  0.2155  0.0058  0.0654  0.0638  0.2341  0.12
Sztompka 1959   29  0.3233  0.0048  0.0657  0.0663  0.0558  0.05
Tomsic 1995   13  0.3935  0.0012  0.1620  0.5213  0.4517  0.48
Uninsky 1932   70  0.1981  0.0080  0.0279  0.0284  0.0389  0.02
Uninsky 1971   18  0.3837  0.0027  0.1024  0.4748  0.0733  0.18
Wasowski 1980   40  0.3025  0.0054  0.1047  0.1050  0.0747  0.08
Zak 1937   86  0.1290  0.0068  0.0370  0.0373  0.0371  0.03
Zak 1951   81  0.1491  0.0064  0.0464  0.0476  0.0373  0.03
Average   3  0.523  0.115  0.206  0.6855  0.0534  0.18
Random 1   91  0.0082  0.0070  0.0276  0.0234  0.2352  0.07
Random 2   88  0.0950  0.0065  0.0366  0.0322  0.3544  0.10
Random 3   90  0.0660  0.0059  0.0559  0.054  0.6435  0.18

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).