Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.7657  0.0020  0.1020  0.3618  0.3220  0.34
Anderszewski 2003   67  0.5342  0.0033  0.0539  0.1125  0.2636  0.17
Ashkenazy 1981   56  0.6068  0.0063  0.0459  0.0473  0.0384  0.03
Bacha 2000   51  0.6273  0.0062  0.0371  0.0324  0.3147  0.10
Badura 1965   72  0.5083  0.0069  0.0363  0.0348  0.0574  0.04
Barbosa 1983   50  0.627  0.0324  0.0925  0.2612  0.4321  0.33
Biret 1990   42  0.6560  0.0072  0.0448  0.0451  0.0477  0.04
Blet 2003   15  0.7640  0.0025  0.0815  0.379  0.4314  0.40
Block 1995   44  0.6420  0.0152  0.0547  0.0516  0.3142  0.12
Blumental 1952   78  0.3232  0.0083  0.0385  0.0376  0.0383  0.03
Boshniakovich 1969   29  0.6922  0.0131  0.0629  0.1717  0.3229  0.23
Brailowsky 1960   24  0.7119  0.0145  0.0453  0.0424  0.3043  0.11
Bunin 1987   19  0.7482  0.0022  0.0918  0.3613  0.4316  0.39
Bunin 1987b   18  0.7452  0.0023  0.0919  0.3613  0.4315  0.39
Chiu 1999   63  0.5756  0.0047  0.0545  0.0528  0.2444  0.11
Cohen 1997   83  0.2876  0.0082  0.0373  0.0349  0.0575  0.04
Cortot 1951   74  0.4969  0.0081  0.0365  0.0363  0.0486  0.03
Csalog 1996   69  0.5251  0.0080  0.0383  0.0345  0.0964  0.05
Czerny 1949   35  0.6615  0.0134  0.0530  0.1630  0.2534  0.20
Czerny 1990   11  0.7767  0.0018  0.0817  0.3623  0.2726  0.31
Duchoud 2007   57  0.6034  0.0064  0.0460  0.0455  0.0473  0.04
Ezaki 2006   3  0.844  0.094  0.151  0.626  0.543  0.58
Falvay 1989   5  0.8170  0.0012  0.1010  0.4611  0.4211  0.44
Farrell 1958   46  0.6423  0.0173  0.0449  0.0447  0.0569  0.04
Ferenczy 1958   45  0.6426  0.0156  0.0372  0.0324  0.3349  0.10
Fliere 1977   7  0.7945  0.0017  0.0813  0.4023  0.2423  0.31
Fou 1978   25  0.7159  0.0021  0.0922  0.3422  0.3619  0.35
Francois 1956   16  0.7421  0.0114  0.0621  0.3611  0.3818  0.37
Friedman 1923   87  0.0586  0.0087  0.0382  0.0372  0.0578  0.04
Friedman 1923b   86  0.0687  0.0086  0.0381  0.0367  0.0576  0.04
Friedman 1930   84  0.2688  0.0074  0.0454  0.0437  0.1459  0.07
Garcia 2007   75  0.4433  0.0077  0.0287  0.0236  0.1963  0.06
Garcia 2007b   85  0.1854  0.0084  0.0376  0.0352  0.0487  0.03
Gierzod 1998   40  0.6625  0.0161  0.0378  0.0353  0.0482  0.03
Gornostaeva 1994   9  0.7816  0.0115  0.0716  0.3712  0.3917  0.38
Groot 1988   2  0.861  0.171  0.163  0.582  0.642  0.61
Harasiewicz 1955   55  0.613  0.143  0.139  0.465  0.4510  0.45
Hatto 1993   80  0.2963  0.0059  0.0377  0.0367  0.0385  0.03
Hatto 1997   76  0.4011  0.0232  0.0537  0.1135  0.1246  0.11
Horowitz 1949   41  0.6658  0.0019  0.0926  0.2510  0.4022  0.32
Indjic 1988   77  0.3364  0.0057  0.0374  0.0357  0.0381  0.03
Kapell 1951   38  0.6689  0.0065  0.0450  0.0440  0.1653  0.08
Kissin 1993   21  0.7377  0.0026  0.0924  0.2825  0.2728  0.27
Kushner 1989   31  0.6855  0.0050  0.0452  0.0450  0.0570  0.04
Luisada 1991   33  0.6710  0.0236  0.0444  0.0834  0.2038  0.13
Lushtak 2004   28  0.695  0.069  0.106  0.5213  0.448  0.48
Malcuzynski 1961   4  0.8171  0.0011  0.1011  0.4517  0.3713  0.41
Magaloff 1978   10  0.7712  0.0110  0.098  0.4618  0.3912  0.42
Magin 1975   66  0.5646  0.0070  0.0458  0.0440  0.1258  0.07
Michalowski 1933   81  0.2961  0.0075  0.0366  0.0351  0.0572  0.04
Milkina 1970   26  0.7136  0.0044  0.0443  0.0842  0.1545  0.11
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   62  0.5750  0.0079  0.0386  0.0359  0.0479  0.03
Morozova 2008   60  0.5884  0.0038  0.0440  0.1053  0.0462  0.06
Neighaus 1950   6  0.8013  0.015  0.124  0.564  0.565  0.56
Niedzielski 1931   71  0.5181  0.0078  0.0379  0.0347  0.0568  0.04
Ohlsson 1999   47  0.6328  0.0055  0.0375  0.0351  0.0671  0.04
Osinska 1989   32  0.6735  0.0042  0.0538  0.1139  0.1340  0.12
Pachmann 1927   43  0.6443  0.0030  0.0628  0.187  0.5424  0.31
Paderewski 1930   49  0.6329  0.0068  0.0367  0.0335  0.1360  0.06
Perlemuter 1992   8  0.789  0.026  0.165  0.531  0.644  0.58
Pierdomenico 2008   36  0.6665  0.0039  0.0434  0.1319  0.3032  0.20
Poblocka 1999   22  0.7231  0.0041  0.0435  0.1232  0.2137  0.16
Rabcewiczowa 1932   48  0.6337  0.0051  0.0451  0.0428  0.2348  0.10
Rachmaninoff 1923   65  0.5738  0.0027  0.0732  0.1523  0.2731  0.20
Rangell 2001   30  0.6939  0.0046  0.0546  0.0510  0.3539  0.13
Richter 1976   37  0.6672  0.0040  0.0533  0.1317  0.3033  0.20
Rosen 1989   23  0.7224  0.0128  0.0827  0.2112  0.4625  0.31
Rosenthal 1930   64  0.5778  0.0071  0.0368  0.0335  0.2055  0.08
Rosenthal 1931   70  0.5218  0.0137  0.0441  0.0913  0.4135  0.19
Rosenthal 1931b   73  0.5080  0.0060  0.0380  0.0327  0.2356  0.08
Rosenthal 1931c   58  0.5947  0.0066  0.0364  0.0331  0.2157  0.08
Rosenthal 1931d   61  0.5741  0.0058  0.0369  0.0317  0.3550  0.10
Rossi 2007   79  0.3274  0.0076  0.0370  0.0343  0.0667  0.04
Rubinstein 1939   82  0.2979  0.0085  0.0384  0.0370  0.0480  0.03
Rubinstein 1952   27  0.7030  0.0029  0.0736  0.1221  0.4330  0.23
Rubinstein 1966   20  0.738  0.0313  0.0814  0.382  0.656  0.50
Schilhawsky 1960   52  0.6266  0.0043  0.0442  0.0851  0.0561  0.06
Shebanova 2002   54  0.6117  0.0153  0.0462  0.0448  0.0665  0.05
Smith 1975   17  0.7427  0.0116  0.0823  0.3320  0.2627  0.29
Sokolov 2002   39  0.6644  0.0067  0.0456  0.0460  0.0466  0.04
Sztompka 1959   53  0.6249  0.0054  0.0461  0.0439  0.1654  0.08
Tomsic 1995   1  0.872  0.152  0.252  0.581  0.651  0.61
Uninsky 1932   59  0.5848  0.0049  0.0457  0.0433  0.2252  0.09
Uninsky 1971   34  0.6753  0.0048  0.0455  0.0428  0.3541  0.12
Wasowski 1980   68  0.5290  0.0035  0.0431  0.1648  0.0551  0.09
Zak 1937   14  0.766  0.068  0.1112  0.425  0.499  0.45
Zak 1951   12  0.7714  0.017  0.157  0.475  0.507  0.48
Random 1   89  -0.1485  0.0090  0.0190  0.0180  0.0389  0.02
Random 2   90  -0.2262  0.0089  0.0289  0.0289  0.0288  0.02
Random 3   88  -0.0175  0.0088  0.0288  0.0281  0.0290  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).