Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   19  0.6914  0.0211  0.1714  0.4713  0.507  0.48
Ax 1995   10  0.7315  0.029  0.144  0.6316  0.486  0.55
Bacha 1998   55  0.5546  0.0054  0.0559  0.0558  0.0564  0.05
Barbosa 1983   60  0.5263  0.0037  0.0653  0.0638  0.0760  0.06
BenOr 1989   49  0.5832  0.0047  0.0933  0.0944  0.0754  0.08
Biret 1990   43  0.6331  0.0041  0.0650  0.0630  0.2845  0.13
Brailowsky 1960   38  0.6528  0.0045  0.0834  0.0830  0.2244  0.13
Chiu 1999   52  0.5760  0.0057  0.0462  0.0434  0.0763  0.05
Clidat 1994   24  0.6744  0.0020  0.0724  0.3129  0.2626  0.28
Cohen 1997   59  0.5350  0.0058  0.0557  0.053  0.6634  0.18
Cortot 1951   63  0.3265  0.0063  0.0555  0.0535  0.0762  0.06
Csalog 1996   29  0.6735  0.0031  0.0731  0.1710  0.4625  0.28
Czerny 1989   18  0.6958  0.0034  0.0836  0.0828  0.2343  0.14
Ezaki 2006   6  0.7513  0.0213  0.2413  0.4818  0.478  0.47
Falvay 1989   23  0.6834  0.0030  0.0829  0.2536  0.0841  0.14
Fiorentino 1962   28  0.6730  0.0029  0.0727  0.2732  0.1829  0.22
Fliere 1977   22  0.687  0.0512  0.2116  0.4512  0.4612  0.45
Fou 1978   50  0.5859  0.0046  0.0741  0.0749  0.0659  0.06
Francois 1956   45  0.6142  0.0038  0.0556  0.0520  0.3446  0.13
Goldenweiser 1946   56  0.5533  0.0055  0.0463  0.0421  0.3547  0.12
Gornostaeva 1994   62  0.4619  0.0128  0.0632  0.1321  0.3430  0.21
Groot 1988   35  0.6543  0.0043  0.0651  0.0641  0.0761  0.06
Hatto 1993   4  0.7511  0.0216  0.319  0.5923  0.3216  0.43
Hatto 1997   1  0.7610  0.0414  0.205  0.6224  0.369  0.47
Horszowski 1983   54  0.5640  0.0062  0.0646  0.0631  0.1348  0.09
Indjic 2001   2  0.7612  0.0215  0.257  0.6124  0.3215  0.44
Katin 1996   21  0.6827  0.0019  0.0819  0.3419  0.4318  0.38
Kiepura 1999   57  0.5441  0.0052  0.0740  0.0735  0.1051  0.08
Korecka 1992   47  0.6052  0.0056  0.0561  0.0516  0.4440  0.15
Kushner 1990   53  0.5716  0.0142  0.0837  0.0824  0.3137  0.16
Lilamand 2001   48  0.5836  0.0060  0.0558  0.0530  0.1749  0.09
Luisada 1990   36  0.6548  0.0048  0.0742  0.0719  0.4135  0.17
Luisada 2008   46  0.6022  0.0153  0.0560  0.0534  0.1056  0.07
Lushtak 2004   8  0.745  0.074  0.118  0.6110  0.614  0.61
Malcuzynski 1951   14  0.712  0.142  0.1411  0.5421  0.3911  0.46
Malcuzynski 1961   40  0.6418  0.0110  0.1412  0.5316  0.4010  0.46
Magaloff 1977   61  0.5153  0.0061  0.0645  0.0638  0.0857  0.07
Magin 1975   15  0.7117  0.0124  0.0626  0.2719  0.4420  0.34
Meguri 1997   51  0.5845  0.0036  0.0649  0.0632  0.1252  0.08
Milkina 1970   7  0.749  0.048  0.102  0.6520  0.555  0.60
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Nezu 2005   39  0.6551  0.0021  0.0723  0.3242  0.0838  0.16
Ohlsson 1999   16  0.7155  0.0017  0.1022  0.3223  0.3819  0.35
Olejniczak 1990   13  0.7229  0.0018  0.1017  0.3717  0.5017  0.43
Osinska 1989   11  0.738  0.046  0.1215  0.4721  0.4313  0.45
Perlemuter 1992   32  0.6623  0.0050  0.0644  0.061  0.7031  0.20
Poblocka 1999   17  0.7154  0.0022  0.0618  0.3630  0.2027  0.27
Rangell 2001   30  0.6638  0.0040  0.0654  0.0620  0.4339  0.16
Richter 1960   31  0.6624  0.0033  0.0648  0.0610  0.5333  0.18
Richter 1961   41  0.6439  0.0032  0.1030  0.1811  0.5022  0.30
Rosen 1989   3  0.753  0.095  0.156  0.621  0.741  0.68
Rubinstein 1939   20  0.6849  0.0023  0.0725  0.3028  0.2823  0.29
Rubinstein 1952   37  0.6526  0.0027  0.0721  0.3327  0.2624  0.29
Rubinstein 1966   25  0.6720  0.0126  0.0620  0.3327  0.3221  0.32
Rudanovskaya 2007   27  0.6725  0.0051  0.0738  0.079  0.5532  0.20
Shebanova 2002   33  0.6656  0.0039  0.0647  0.0632  0.1450  0.09
Smith 1975   44  0.6337  0.0044  0.0835  0.0826  0.2642  0.14
Sztompka 1959   42  0.6347  0.0049  0.0743  0.0718  0.3836  0.16
Tanyel 1992   12  0.734  0.093  0.133  0.6410  0.603  0.62
Tsujii 2005   5  0.756  0.077  0.1210  0.5628  0.3414  0.44
Uninsky 1959   9  0.731  0.171  0.171  0.698  0.572  0.63
Vardi 1988   26  0.6721  0.0135  0.0739  0.0744  0.0755  0.07
Wasowski 1980   58  0.5461  0.0059  0.0652  0.0649  0.0658  0.06
Zimerman 1975   34  0.6657  0.0025  0.0628  0.2731  0.2228  0.24
Random 1   65  -0.0364  0.0066  0.0166  0.0119  0.2065  0.04
Random 2   64  0.0062  0.0064  0.0264  0.0214  0.3253  0.08
Random 3   66  -0.0466  0.0065  0.0265  0.0235  0.0566  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).