Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6516  0.0114  0.1312  0.544  0.5610  0.55
Anderszewski 2003   55  0.4834  0.0023  0.0728  0.2720  0.3529  0.31
Ashkenazy 1981   54  0.4961  0.0057  0.0464  0.0470  0.0479  0.04
Bacha 2000   48  0.5271  0.0053  0.0472  0.0422  0.4347  0.13
Badura 1965   74  0.3950  0.0073  0.0552  0.0557  0.0478  0.04
Barbosa 1983   39  0.5510  0.019  0.1318  0.4410  0.5216  0.48
Biret 1990   61  0.4589  0.0076  0.0380  0.0366  0.0487  0.03
Blet 2003   40  0.5458  0.0046  0.0549  0.0541  0.1552  0.09
Block 1995   26  0.5924  0.0024  0.0726  0.3110  0.4621  0.38
Blumental 1952   79  0.3120  0.0183  0.0379  0.0373  0.0385  0.03
Boshniakovich 1969   16  0.637  0.0218  0.1317  0.466  0.6112  0.53
Brailowsky 1960   17  0.638  0.0227  0.0727  0.293  0.5517  0.40
Bunin 1987   35  0.5684  0.0040  0.0640  0.1527  0.3337  0.22
Bunin 1987b   34  0.5674  0.0044  0.0742  0.1427  0.3238  0.21
Chiu 1999   60  0.4685  0.0063  0.0647  0.0670  0.0461  0.05
Cohen 1997   78  0.3247  0.0074  0.0466  0.0436  0.1756  0.08
Cortot 1951   69  0.4248  0.0079  0.0556  0.0562  0.0480  0.04
Csalog 1996   66  0.4275  0.0081  0.0288  0.0248  0.0773  0.04
Czerny 1949   44  0.5335  0.0043  0.0741  0.1425  0.3835  0.23
Czerny 1990   36  0.5662  0.0041  0.0538  0.1757  0.0553  0.09
Duchoud 2007   63  0.4576  0.0072  0.0459  0.0468  0.0477  0.04
Ezaki 2006   2  0.7038  0.007  0.155  0.638  0.566  0.59
Falvay 1989   18  0.6186  0.0028  0.0825  0.3118  0.3228  0.31
Farrell 1958   70  0.4154  0.0080  0.0287  0.0263  0.0484  0.03
Ferenczy 1958   42  0.5421  0.0160  0.0551  0.0512  0.4743  0.15
Fliere 1977   19  0.6133  0.0029  0.0824  0.3236  0.1536  0.22
Fou 1978   25  0.5957  0.0026  0.0821  0.3730  0.3524  0.36
Francois 1956   14  0.6319  0.0113  0.1314  0.4913  0.4915  0.49
Friedman 1923   88  0.1287  0.0088  0.0376  0.0377  0.0388  0.03
Friedman 1923b   87  0.1281  0.0087  0.0286  0.0265  0.0586  0.03
Friedman 1930   85  0.2377  0.0069  0.0381  0.0352  0.0575  0.04
Garcia 2007   75  0.3928  0.0049  0.0461  0.044  0.6741  0.16
Garcia 2007b   86  0.1472  0.0086  0.0474  0.0455  0.0481  0.04
Gierzod 1998   22  0.5931  0.0022  0.1020  0.4214  0.3918  0.40
Gornostaeva 1994   7  0.6711  0.0112  0.1210  0.5612  0.5113  0.53
Groot 1988   3  0.706  0.034  0.154  0.654  0.604  0.62
Harasiewicz 1955   31  0.5712  0.012  0.149  0.597  0.4614  0.52
Hatto 1993   80  0.3045  0.0037  0.0839  0.1551  0.0554  0.09
Hatto 1997   76  0.3615  0.0120  0.0932  0.2442  0.1042  0.15
Horowitz 1949   47  0.5351  0.0030  0.0737  0.1821  0.3334  0.24
Indjic 1988   81  0.3036  0.0036  0.0543  0.1458  0.0555  0.08
Kapell 1951   43  0.5482  0.0058  0.0465  0.0464  0.0470  0.04
Kissin 1993   30  0.5746  0.0034  0.0635  0.2239  0.1939  0.20
Kushner 1989   37  0.5690  0.0055  0.0471  0.0455  0.0469  0.04
Luisada 1991   45  0.5391  0.0045  0.0545  0.1163  0.0557  0.07
Lushtak 2004   29  0.5814  0.0119  0.1019  0.4323  0.3819  0.40
Malcuzynski 1961   8  0.6663  0.0017  0.1216  0.4632  0.2725  0.35
Magaloff 1978   12  0.6455  0.0016  0.1115  0.4820  0.3120  0.39
Magin 1975   65  0.4469  0.0071  0.0463  0.0455  0.0568  0.04
Michalowski 1933   82  0.2764  0.0077  0.0470  0.0466  0.0472  0.04
Milkina 1970   32  0.5725  0.0042  0.0644  0.1234  0.2240  0.16
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   62  0.4578  0.0078  0.0467  0.0465  0.0464  0.04
Morozova 2008   53  0.4943  0.0048  0.0746  0.0766  0.0462  0.05
Neighaus 1950   6  0.685  0.033  0.222  0.748  0.572  0.65
Niedzielski 1931   68  0.4253  0.0075  0.0468  0.0453  0.0567  0.04
Ohlsson 1999   50  0.5283  0.0059  0.0462  0.0462  0.0471  0.04
Osinska 1989   28  0.5842  0.0035  0.0829  0.2525  0.2433  0.24
Pachmann 1927   41  0.5417  0.0138  0.0636  0.2015  0.5126  0.32
Paderewski 1930   49  0.5222  0.0054  0.0475  0.0426  0.2251  0.09
Perlemuter 1992   9  0.659  0.028  0.176  0.624  0.663  0.64
Pierdomenico 2008   58  0.4759  0.0064  0.0382  0.0343  0.1358  0.06
Poblocka 1999   21  0.6023  0.0032  0.0730  0.2527  0.2632  0.25
Rabcewiczowa 1932   33  0.5630  0.0039  0.0634  0.2313  0.5723  0.36
Rachmaninoff 1923   71  0.4165  0.0047  0.0558  0.0555  0.0465  0.04
Rangell 2001   24  0.5932  0.0033  0.0833  0.2414  0.4227  0.32
Richter 1976   46  0.5341  0.0052  0.0555  0.0530  0.2549  0.11
Rosen 1989   11  0.6513  0.0115  0.1311  0.558  0.598  0.57
Rosenthal 1930   64  0.4444  0.0070  0.0377  0.0332  0.3250  0.10
Rosenthal 1931   73  0.3979  0.0066  0.0383  0.0318  0.4548  0.12
Rosenthal 1931b   72  0.4070  0.0067  0.0553  0.0514  0.4644  0.15
Rosenthal 1931c   56  0.4827  0.0050  0.0460  0.0416  0.4846  0.14
Rosenthal 1931d   67  0.4288  0.0068  0.0648  0.0621  0.3445  0.14
Rossi 2007   84  0.2452  0.0084  0.0473  0.0456  0.0383  0.03
Rubinstein 1939   83  0.2580  0.0085  0.0385  0.0349  0.0566  0.04
Rubinstein 1952   20  0.6126  0.0021  0.0923  0.3320  0.4222  0.37
Rubinstein 1966   5  0.682  0.115  0.143  0.671  0.751  0.71
Schilhawsky 1960   59  0.4673  0.0065  0.0378  0.0352  0.0574  0.04
Shebanova 2002   51  0.5018  0.0162  0.0550  0.0561  0.0563  0.05
Smith 1975   23  0.5960  0.0025  0.0822  0.3535  0.2331  0.28
Sokolov 2002   38  0.5637  0.0056  0.0557  0.0549  0.0660  0.05
Sztompka 1959   52  0.5056  0.0061  0.0554  0.0547  0.0759  0.06
Tomsic 1995   4  0.7029  0.006  0.137  0.616  0.557  0.58
Uninsky 1932   57  0.4839  0.0051  0.0469  0.0466  0.0576  0.04
Uninsky 1971   27  0.5840  0.0031  0.0831  0.2531  0.3430  0.29
Wasowski 1980   77  0.3466  0.0082  0.0384  0.0367  0.0482  0.03
Zak 1937   15  0.633  0.0611  0.1413  0.528  0.5511  0.53
Zak 1951   13  0.644  0.0410  0.148  0.606  0.605  0.60
Average   1  0.771  0.491  0.491  0.7916  0.389  0.55
Random 1   91  -0.1067  0.0091  0.0191  0.0189  0.0291  0.01
Random 2   90  -0.0749  0.0090  0.0289  0.0273  0.0389  0.02
Random 3   89  -0.0168  0.0089  0.0290  0.0269  0.0390  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).