Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.404  0.058  0.1511  0.608  0.6012  0.60
Anderszewski 2003   16  0.4031  0.0013  0.1612  0.593  0.738  0.66
Ashkenazy 1981   61  0.2372  0.0060  0.0749  0.0765  0.0656  0.06
Bacha 2000   26  0.3563  0.0033  0.0627  0.3222  0.4225  0.37
Badura 1965   74  0.1887  0.0074  0.0375  0.0367  0.0481  0.03
Barbosa 1983   11  0.4214  0.0112  0.1817  0.4915  0.5218  0.50
Biret 1990   84  0.0688  0.0087  0.0284  0.0281  0.0389  0.02
Blet 2003   69  0.2053  0.0063  0.0561  0.0564  0.0563  0.05
Block 1995   4  0.4912  0.019  0.176  0.6815  0.579  0.62
Blumental 1952   60  0.2322  0.0062  0.0652  0.0667  0.0465  0.05
Boshniakovich 1969   2  0.541  0.281  0.282  0.762  0.762  0.76
Brailowsky 1960   8  0.455  0.0310  0.179  0.631  0.774  0.70
Bunin 1987   82  0.1176  0.0082  0.0468  0.0482  0.0383  0.03
Bunin 1987b   81  0.1182  0.0083  0.0469  0.0485  0.0379  0.03
Chiu 1999   44  0.2889  0.0064  0.0564  0.0571  0.0466  0.04
Cohen 1997   28  0.349  0.0224  0.0824  0.3518  0.5420  0.43
Cortot 1951   31  0.3318  0.0143  0.0840  0.1821  0.5232  0.31
Csalog 1996   77  0.1583  0.0068  0.0374  0.0360  0.0570  0.04
Czerny 1949   66  0.2147  0.0052  0.0657  0.0629  0.5341  0.18
Czerny 1990   80  0.1464  0.0080  0.0467  0.0468  0.0473  0.04
Duchoud 2007   72  0.1873  0.0081  0.0562  0.0576  0.0372  0.04
Ezaki 2006   20  0.3813  0.0116  0.1115  0.5023  0.5717  0.53
Falvay 1989   65  0.2149  0.0073  0.0381  0.0377  0.0376  0.03
Farrell 1958   85  0.0560  0.0084  0.0285  0.0284  0.0287  0.02
Ferenczy 1958   37  0.3234  0.0026  0.0730  0.2714  0.7619  0.45
Fliere 1977   36  0.3240  0.0046  0.0847  0.0877  0.0454  0.06
Fou 1978   43  0.2974  0.0051  0.0655  0.0663  0.0458  0.05
Francois 1956   35  0.3335  0.0025  0.0728  0.3120  0.5622  0.42
Friedman 1923   64  0.2257  0.0075  0.0379  0.0367  0.0574  0.04
Friedman 1923b   67  0.2090  0.0077  0.0380  0.0370  0.0484  0.03
Friedman 1930   73  0.1884  0.0076  0.0283  0.0282  0.0388  0.02
Garcia 2007   9  0.4423  0.005  0.134  0.696  0.667  0.67
Garcia 2007b   86  0.0575  0.0079  0.0378  0.0364  0.0485  0.03
Gierzod 1998   5  0.488  0.024  0.268  0.644  0.783  0.71
Gornostaeva 1994   15  0.4015  0.0118  0.1216  0.5017  0.6215  0.56
Groot 1988   34  0.3333  0.0031  0.0725  0.3548  0.0843  0.17
Harasiewicz 1955   6  0.4820  0.006  0.127  0.677  0.5811  0.62
Hatto 1993   41  0.3030  0.0023  0.0829  0.3050  0.0944  0.16
Hatto 1997   50  0.2710  0.0121  0.1035  0.2329  0.2639  0.24
Horowitz 1949   47  0.2821  0.0057  0.0559  0.0563  0.0559  0.05
Indjic 1988   57  0.2445  0.0034  0.0643  0.1648  0.0947  0.12
Kapell 1951   48  0.2765  0.0047  0.0848  0.0855  0.0651  0.07
Kissin 1993   78  0.1441  0.0072  0.0382  0.0350  0.0862  0.05
Kushner 1989   27  0.3477  0.0035  0.0732  0.2637  0.2237  0.24
Luisada 1991   58  0.2466  0.0058  0.0656  0.0648  0.0850  0.07
Lushtak 2004   24  0.3539  0.0032  0.0637  0.2323  0.2835  0.25
Malcuzynski 1961   38  0.3250  0.0045  0.0846  0.0851  0.0752  0.07
Magaloff 1978   19  0.3842  0.0028  0.0921  0.3734  0.3329  0.35
Magin 1975   76  0.1667  0.0078  0.0470  0.0461  0.0568  0.04
Michalowski 1933   71  0.1961  0.0071  0.0373  0.0352  0.0761  0.05
Milkina 1970   55  0.2516  0.0141  0.0742  0.1825  0.4134  0.27
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   68  0.2069  0.0055  0.0466  0.0480  0.0375  0.03
Morozova 2008   46  0.2870  0.0049  0.0653  0.0667  0.0464  0.05
Neighaus 1950   7  0.467  0.027  0.155  0.694  0.5510  0.62
Niedzielski 1931   40  0.3178  0.0044  0.0844  0.1554  0.0648  0.09
Ohlsson 1999   56  0.2571  0.0067  0.0471  0.0463  0.0469  0.04
Osinska 1989   17  0.4026  0.0027  0.0723  0.3625  0.4921  0.42
Pachmann 1927   23  0.3719  0.0029  0.0736  0.2339  0.2538  0.24
Paderewski 1930   33  0.3354  0.0037  0.0931  0.2734  0.3433  0.30
Perlemuter 1992   12  0.4238  0.0015  0.1214  0.5515  0.6313  0.59
Pierdomenico 2008   62  0.2355  0.0066  0.0472  0.0469  0.0377  0.03
Poblocka 1999   39  0.3224  0.0040  0.0734  0.2336  0.2636  0.24
Rabcewiczowa 1932   10  0.436  0.0211  0.1610  0.617  0.766  0.68
Rachmaninoff 1923   79  0.1462  0.0070  0.0377  0.0357  0.0567  0.04
Rangell 2001   13  0.4117  0.0114  0.1713  0.566  0.5814  0.57
Richter 1976   32  0.3328  0.0050  0.0654  0.0669  0.0460  0.05
Rosen 1989   3  0.513  0.153  0.263  0.746  0.675  0.70
Rosenthal 1930   49  0.2768  0.0048  0.0750  0.0720  0.4542  0.18
Rosenthal 1931   54  0.2651  0.0042  0.0833  0.2317  0.6126  0.37
Rosenthal 1931b   42  0.2952  0.0038  0.0739  0.2215  0.6624  0.38
Rosenthal 1931c   29  0.3411  0.0117  0.1318  0.488  0.6616  0.56
Rosenthal 1931d   70  0.2043  0.0056  0.0560  0.0530  0.3846  0.14
Rossi 2007   83  0.0959  0.0085  0.0288  0.0237  0.1257  0.05
Rubinstein 1939   75  0.1779  0.0069  0.0376  0.0364  0.0478  0.03
Rubinstein 1952   30  0.3332  0.0020  0.0926  0.3428  0.3928  0.36
Rubinstein 1966   1  0.542  0.272  0.341  0.811  0.771  0.79
Schilhawsky 1960   63  0.2280  0.0059  0.0563  0.0542  0.1549  0.09
Shebanova 2002   45  0.2827  0.0061  0.0658  0.0661  0.0755  0.06
Smith 1975   51  0.2785  0.0053  0.0751  0.0734  0.3345  0.15
Sokolov 2002   25  0.3537  0.0036  0.0838  0.2221  0.4330  0.31
Sztompka 1959   53  0.2644  0.0054  0.0945  0.0956  0.0653  0.07
Tomsic 1995   52  0.2781  0.0039  0.0741  0.1834  0.1840  0.18
Uninsky 1932   59  0.2346  0.0065  0.0465  0.0472  0.0471  0.04
Uninsky 1971   21  0.3836  0.0030  0.0620  0.3933  0.2431  0.31
Wasowski 1980   87  0.0448  0.0088  0.0286  0.0283  0.0386  0.02
Zak 1937   22  0.3825  0.0022  0.0922  0.3730  0.3627  0.36
Zak 1951   18  0.3929  0.0019  0.1119  0.4026  0.3823  0.39
Random 1   90  -0.0686  0.0090  0.0190  0.0183  0.0290  0.01
Random 2   88  0.0158  0.0086  0.0287  0.0249  0.0680  0.03
Random 3   89  -0.0356  0.0089  0.0189  0.0139  0.1282  0.03

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).