Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7419  0.0120  0.1010  0.5316  0.4316  0.48
Anderszewski 2003   51  0.6142  0.0034  0.0732  0.2522  0.2835  0.26
Ashkenazy 1981   45  0.6368  0.0046  0.0559  0.0560  0.0481  0.04
Bacha 2000   33  0.6771  0.0037  0.0636  0.228  0.5031  0.33
Badura 1965   74  0.5243  0.0074  0.0385  0.0352  0.0579  0.04
Barbosa 1983   55  0.6114  0.0111  0.1226  0.354  0.6119  0.46
Biret 1990   23  0.7251  0.0032  0.0928  0.3211  0.4129  0.36
Blet 2003   25  0.7129  0.0033  0.0731  0.317  0.4727  0.38
Block 1995   57  0.6070  0.0050  0.0464  0.0418  0.3551  0.12
Blumental 1952   77  0.5037  0.0066  0.0470  0.0456  0.0480  0.04
Boshniakovich 1969   41  0.6416  0.0158  0.0553  0.0545  0.1068  0.07
Brailowsky 1960   16  0.7312  0.0131  0.0735  0.246  0.5528  0.36
Bunin 1987   66  0.5580  0.0078  0.0557  0.0542  0.1659  0.09
Bunin 1987b   68  0.5574  0.0077  0.0374  0.0340  0.1764  0.07
Chiu 1999   48  0.6239  0.0039  0.0540  0.1519  0.4236  0.25
Cohen 1997   86  0.3973  0.0086  0.0469  0.0439  0.1169  0.07
Cortot 1951   65  0.5576  0.0075  0.0383  0.0350  0.0684  0.04
Csalog 1996   63  0.5659  0.0069  0.0379  0.0316  0.4052  0.11
Czerny 1949   49  0.6265  0.0056  0.0649  0.0662  0.0574  0.05
Czerny 1990   10  0.749  0.028  0.127  0.5611  0.509  0.53
Duchoud 2007   61  0.5864  0.0047  0.0555  0.0545  0.1067  0.07
Ezaki 2006   3  0.803  0.064  0.263  0.724  0.613  0.66
Falvay 1989   8  0.7427  0.0025  0.0923  0.397  0.6014  0.48
Farrell 1958   34  0.6785  0.0042  0.0641  0.138  0.4537  0.24
Ferenczy 1958   44  0.6325  0.0060  0.0552  0.0527  0.2353  0.11
Fliere 1977   6  0.7646  0.0021  0.1313  0.5227  0.3126  0.40
Fou 1978   21  0.7256  0.0015  0.1012  0.5210  0.4515  0.48
Francois 1956   24  0.7117  0.0122  0.1022  0.429  0.5418  0.48
Friedman 1923   88  0.3390  0.0088  0.0471  0.0463  0.0586  0.04
Friedman 1923b   87  0.3377  0.0087  0.0468  0.0466  0.0582  0.04
Friedman 1930   82  0.4386  0.0083  0.0375  0.0374  0.0489  0.03
Garcia 2007   69  0.5581  0.0071  0.0288  0.0235  0.2071  0.06
Garcia 2007b   84  0.4389  0.0081  0.0378  0.0355  0.0585  0.04
Gierzod 1998   31  0.6847  0.0038  0.0734  0.2448  0.0554  0.11
Gornostaeva 1994   18  0.7313  0.0123  0.0921  0.4310  0.5317  0.48
Groot 1988   2  0.804  0.052  0.382  0.732  0.682  0.70
Harasiewicz 1955   42  0.6428  0.0012  0.1014  0.5116  0.4220  0.46
Hatto 1993   83  0.4388  0.0049  0.0465  0.0460  0.0483  0.04
Hatto 1997   78  0.4935  0.0040  0.0642  0.1156  0.0566  0.07
Horowitz 1949   50  0.6154  0.0059  0.0747  0.0730  0.3543  0.16
Indjic 1988   81  0.4652  0.0048  0.0558  0.0568  0.0476  0.04
Kapell 1951   30  0.6944  0.0027  0.0925  0.3627  0.2833  0.32
Kissin 1993   27  0.7049  0.0024  0.0929  0.3221  0.3730  0.34
Kushner 1989   20  0.725  0.0319  0.0920  0.4516  0.4622  0.45
Luisada 1991   28  0.6936  0.0029  0.0930  0.3230  0.3332  0.32
Lushtak 2004   29  0.6932  0.0010  0.1011  0.534  0.4712  0.50
Malcuzynski 1961   39  0.6538  0.0057  0.0846  0.0827  0.2346  0.14
Magaloff 1978   22  0.7253  0.0026  0.1024  0.399  0.4724  0.43
Magin 1975   56  0.6060  0.0036  0.0643  0.1034  0.1847  0.13
Michalowski 1933   85  0.4278  0.0084  0.0373  0.0369  0.0488  0.03
Milkina 1970   5  0.7610  0.0214  0.099  0.5311  0.5110  0.52
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   64  0.5666  0.0082  0.0382  0.0341  0.2060  0.08
Morozova 2008   53  0.6120  0.0051  0.0462  0.0454  0.0478  0.04
Neighaus 1950   11  0.7426  0.0017  0.0916  0.4919  0.3425  0.41
Niedzielski 1931   72  0.5457  0.0073  0.0387  0.0350  0.0487  0.03
Ohlsson 1999   35  0.6724  0.0035  0.0637  0.2040  0.1542  0.17
Osinska 1989   17  0.7330  0.0018  0.0818  0.4616  0.4421  0.45
Pachmann 1927   59  0.6062  0.0067  0.0377  0.0316  0.3557  0.10
Paderewski 1930   47  0.6282  0.0061  0.0463  0.0437  0.1365  0.07
Perlemuter 1992   14  0.7315  0.017  0.166  0.572  0.605  0.58
Pierdomenico 2008   52  0.6163  0.0055  0.0748  0.0710  0.4540  0.18
Poblocka 1999   38  0.6522  0.0044  0.0544  0.1049  0.0662  0.08
Rabcewiczowa 1932   37  0.6648  0.0045  0.0545  0.0911  0.4339  0.20
Rachmaninoff 1923   46  0.6223  0.0030  0.0833  0.2520  0.3534  0.30
Rangell 2001   40  0.6455  0.0052  0.0556  0.054  0.5144  0.16
Richter 1976   76  0.5233  0.0076  0.0380  0.0347  0.0675  0.04
Rosen 1989   7  0.7621  0.009  0.108  0.545  0.568  0.55
Rosenthal 1930   70  0.5558  0.0068  0.0384  0.0338  0.1963  0.08
Rosenthal 1931   73  0.5361  0.0065  0.0466  0.0417  0.4548  0.13
Rosenthal 1931b   75  0.5283  0.0079  0.0376  0.0319  0.3558  0.10
Rosenthal 1931c   67  0.5587  0.0070  0.0386  0.0320  0.4056  0.11
Rosenthal 1931d   71  0.5545  0.0080  0.0472  0.0423  0.3055  0.11
Rossi 2007   80  0.4779  0.0072  0.0381  0.037  0.4849  0.12
Rubinstein 1939   79  0.4869  0.0085  0.0561  0.0524  0.3050  0.12
Rubinstein 1952   36  0.6618  0.0128  0.1027  0.337  0.6023  0.44
Rubinstein 1966   13  0.742  0.085  0.1419  0.452  0.756  0.58
Schilhawsky 1960   62  0.5767  0.0064  0.0467  0.0455  0.0577  0.04
Shebanova 2002   26  0.7041  0.0041  0.0539  0.1633  0.2141  0.18
Smith 1975   12  0.7431  0.0016  0.0917  0.498  0.5211  0.50
Sokolov 2002   43  0.6340  0.0053  0.0650  0.0630  0.3545  0.14
Sztompka 1959   32  0.6811  0.0143  0.0738  0.1836  0.2438  0.21
Tomsic 1995   4  0.788  0.023  0.204  0.691  0.761  0.72
Uninsky 1932   60  0.5850  0.0063  0.0560  0.0564  0.0573  0.05
Uninsky 1971   58  0.6034  0.0062  0.0554  0.0548  0.0770  0.06
Wasowski 1980   54  0.6184  0.0054  0.0551  0.0536  0.1361  0.08
Zak 1937   15  0.737  0.0213  0.0915  0.5110  0.4713  0.49
Zak 1951   19  0.736  0.036  0.135  0.598  0.527  0.55
Average   1  0.851  0.501  0.491  0.7912  0.504  0.63
Random 1   90  -0.1772  0.0091  0.0191  0.0173  0.0390  0.02
Random 2   91  -0.1975  0.0090  0.0190  0.0189  0.0191  0.01
Random 3   89  -0.0591  0.0089  0.0289  0.0229  0.2072  0.06

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).