Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.4330  0.0039  0.0741  0.1415  0.4440  0.25
Anderszewski 2003   22  0.5340  0.0028  0.1026  0.4231  0.3629  0.39
Ashkenazy 1981   55  0.4315  0.0059  0.0467  0.0417  0.4354  0.13
Bacha 2000   80  0.3357  0.0069  0.0476  0.0443  0.1765  0.08
Badura 1965   69  0.3741  0.0066  0.0479  0.0440  0.1474  0.07
Barbosa 1983   17  0.5575  0.0026  0.1127  0.4032  0.3032  0.35
Biret 1990   10  0.585  0.0211  0.149  0.629  0.5613  0.59
Blet 2003   61  0.4114  0.0044  0.0545  0.1011  0.4343  0.21
Block 1995   16  0.5519  0.0013  0.1114  0.564  0.727  0.63
Blumental 1952   12  0.572  0.082  0.1521  0.4921  0.5420  0.51
Boshniakovich 1969   44  0.4549  0.0033  0.0734  0.2635  0.2441  0.25
Brailowsky 1960   11  0.573  0.0312  0.1220  0.5010  0.6414  0.57
Bunin 1987   47  0.4444  0.0042  0.0643  0.1116  0.3845  0.20
Bunin 1987b   56  0.4266  0.0052  0.0646  0.0622  0.3847  0.15
Chiu 1999   65  0.3960  0.0064  0.0460  0.0438  0.1867  0.08
Cohen 1997   75  0.3658  0.0072  0.0386  0.0344  0.0881  0.05
Cortot 1951   86  0.2281  0.0071  0.0465  0.0457  0.0586  0.04
Csalog 1996   30  0.5221  0.0014  0.1212  0.584  0.6610  0.62
Czerny 1949   52  0.4367  0.0054  0.0461  0.0456  0.0780  0.05
Czerny 1990   43  0.4688  0.0048  0.0555  0.0550  0.0776  0.06
Duchoud 2007   83  0.2852  0.0079  0.0475  0.0431  0.4153  0.13
Ezaki 2006   7  0.6010  0.0110  0.1310  0.6212  0.5811  0.60
Falvay 1989   8  0.5816  0.009  0.148  0.6415  0.619  0.62
Farrell 1958   50  0.4353  0.0038  0.0638  0.1926  0.4037  0.28
Ferenczy 1958   39  0.4655  0.0047  0.0556  0.0515  0.5746  0.17
Fliere 1977   2  0.6234  0.008  0.167  0.658  0.598  0.62
Fou 1978   18  0.5538  0.0025  0.0923  0.4812  0.4923  0.48
Francois 1956   78  0.3582  0.0082  0.0459  0.0450  0.0682  0.05
Friedman 1923   72  0.3683  0.0067  0.0468  0.0425  0.3757  0.12
Friedman 1923b   79  0.3368  0.0077  0.0470  0.0437  0.2064  0.09
Friedman 1930   77  0.3517  0.0056  0.0471  0.0434  0.2462  0.10
Garcia 2007   49  0.4345  0.0041  0.0839  0.187  0.6334  0.34
Garcia 2007b   45  0.4584  0.0040  0.0640  0.1824  0.4238  0.27
Gierzod 1998   20  0.5418  0.0017  0.1024  0.4633  0.3427  0.40
Gornostaeva 1994   40  0.4672  0.0051  0.0549  0.0535  0.2558  0.11
Groot 1988   21  0.5435  0.0023  0.0918  0.514  0.5716  0.54
Harasiewicz 1955   31  0.5150  0.0036  0.0733  0.2743  0.2142  0.24
Hatto 1993   27  0.5289  0.0022  0.1222  0.4818  0.4924  0.48
Hatto 1997   24  0.5361  0.0021  0.1119  0.5115  0.5219  0.51
Horowitz 1949   68  0.3762  0.0070  0.0478  0.0414  0.4749  0.14
Indjic 1988   28  0.5225  0.0019  0.1017  0.5215  0.5418  0.53
Kapell 1951   14  0.568  0.0224  0.0931  0.3534  0.3731  0.36
Kissin 1993   54  0.4369  0.0060  0.0463  0.0446  0.1075  0.06
Kushner 1989   15  0.5531  0.0018  0.1213  0.5824  0.4222  0.49
Luisada 1991   13  0.5612  0.0131  0.0930  0.375  0.6521  0.49
Lushtak 2004   34  0.5029  0.0029  0.0925  0.4324  0.4526  0.44
Malcuzynski 1961   26  0.5254  0.0020  0.0915  0.5417  0.5217  0.53
Magaloff 1978   64  0.4090  0.0076  0.0473  0.0460  0.0483  0.04
Magin 1975   23  0.5348  0.0027  0.1029  0.3824  0.4028  0.39
Michalowski 1933   87  0.1070  0.0087  0.0287  0.0283  0.0289  0.02
Milkina 1970   6  0.6013  0.013  0.132  0.728  0.635  0.67
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   25  0.5346  0.0030  0.0828  0.3913  0.5125  0.45
Morozova 2008   66  0.3879  0.0058  0.0551  0.0559  0.0578  0.05
Neighaus 1950   85  0.2585  0.0086  0.0462  0.0462  0.0485  0.04
Niedzielski 1931   76  0.3576  0.0074  0.0382  0.0323  0.3361  0.10
Ohlsson 1999   59  0.4259  0.0045  0.0544  0.1025  0.4044  0.20
Osinska 1989   19  0.5432  0.0015  0.1211  0.6026  0.5215  0.56
Pachmann 1927   82  0.3064  0.0084  0.0385  0.0338  0.2270  0.08
Paderewski 1930   89  0.0486  0.0088  0.0288  0.0284  0.0288  0.02
Perlemuter 1992   73  0.3623  0.0081  0.0380  0.0337  0.2266  0.08
Pierdomenico 2008   84  0.2624  0.0085  0.0477  0.0442  0.1668  0.08
Poblocka 1999   3  0.6111  0.016  0.105  0.685  0.674  0.67
Rabcewiczowa 1932   63  0.4071  0.0050  0.0552  0.0542  0.1269  0.08
Rachmaninoff 1923   35  0.509  0.0232  0.1035  0.2417  0.4933  0.34
Rangell 2001   74  0.3626  0.0080  0.0383  0.0353  0.0684  0.04
Richter 1976   46  0.4573  0.0057  0.0474  0.0440  0.2063  0.09
Rosen 1989   32  0.507  0.0216  0.1016  0.535  0.6512  0.59
Rosenthal 1930   53  0.4342  0.0068  0.0458  0.0431  0.3555  0.12
Rosenthal 1931   62  0.4036  0.0063  0.0554  0.0527  0.3950  0.14
Rosenthal 1931b   67  0.3843  0.0075  0.0381  0.0323  0.3759  0.11
Rosenthal 1931c   57  0.4291  0.0061  0.0457  0.0426  0.3656  0.12
Rosenthal 1931d   60  0.4163  0.0062  0.0469  0.0413  0.5151  0.14
Rossi 2007   81  0.3039  0.0083  0.0553  0.0545  0.1073  0.07
Rubinstein 1939   36  0.4974  0.0034  0.0732  0.3119  0.4730  0.38
Rubinstein 1952   5  0.6128  0.007  0.143  0.716  0.673  0.69
Rubinstein 1966   4  0.614  0.035  0.134  0.6918  0.626  0.65
Schilhawsky 1960   41  0.4677  0.0055  0.0464  0.0443  0.1771  0.08
Shebanova 2002   38  0.4737  0.0037  0.0837  0.2117  0.4436  0.30
Smith 1975   58  0.4220  0.0065  0.0472  0.0454  0.0677  0.05
Sokolov 2002   48  0.4456  0.0043  0.0542  0.128  0.5639  0.26
Sztompka 1959   71  0.3751  0.0073  0.0384  0.0370  0.0487  0.03
Tomsic 1995   9  0.586  0.024  0.126  0.671  0.742  0.70
Uninsky 1932   70  0.3787  0.0078  0.0466  0.0447  0.0779  0.05
Uninsky 1971   37  0.4827  0.0049  0.0648  0.0639  0.2752  0.13
Wasowski 1980   42  0.4665  0.0053  0.0647  0.0642  0.1760  0.10
Zak 1937   33  0.5022  0.0046  0.0550  0.0530  0.3948  0.14
Zak 1951   29  0.5233  0.0035  0.0836  0.2123  0.4235  0.30
Average   1  0.711  0.641  0.631  0.8621  0.581  0.71
Random 1   91  -0.0880  0.0091  0.0191  0.0180  0.0291  0.01
Random 2   88  0.0747  0.0089  0.0289  0.0219  0.3372  0.08
Random 3   90  -0.0778  0.0090  0.0190  0.0154  0.0490  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).