Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   36  0.7636  0.003  0.125  0.5512  0.4311  0.49
Ax 1995   10  0.8315  0.015  0.164  0.553  0.573  0.56
Bacha 1998   56  0.6144  0.0057  0.0460  0.0435  0.0858  0.06
Barbosa 1983   61  0.4858  0.0041  0.0540  0.0520  0.3940  0.14
BenOr 1989   62  0.4722  0.0062  0.0543  0.0549  0.0564  0.05
Biret 1990   43  0.7345  0.0042  0.0636  0.0622  0.3046  0.13
Brailowsky 1960   39  0.7530  0.0047  0.0458  0.0411  0.3947  0.12
Chiu 1999   52  0.6560  0.0056  0.0456  0.0433  0.1355  0.07
Clidat 1994   26  0.7831  0.0015  0.0818  0.3916  0.4119  0.40
Cohen 1997   55  0.6243  0.0051  0.0455  0.045  0.6136  0.16
Cortot 1951   64  0.2264  0.0064  0.0546  0.0562  0.0366  0.04
Csalog 1996   19  0.8040  0.0026  0.0725  0.265  0.4722  0.35
Czerny 1989   14  0.8224  0.0035  0.0834  0.0814  0.3135  0.16
Ezaki 2006   5  0.8510  0.018  0.1411  0.479  0.529  0.49
Falvay 1989   42  0.7335  0.0045  0.0548  0.0550  0.0560  0.05
Fiorentino 1962   23  0.7818  0.0112  0.1217  0.3915  0.4716  0.43
Fliere 1977   27  0.787  0.0310  0.1316  0.3918  0.3920  0.39
Fou 1978   49  0.6623  0.0040  0.0637  0.0631  0.1650  0.10
Francois 1956   54  0.6349  0.0052  0.0547  0.0528  0.2349  0.11
Goldenweiser 1946   51  0.6633  0.0063  0.0638  0.0622  0.3437  0.14
Gornostaeva 1994   63  0.4042  0.0055  0.0457  0.0437  0.0763  0.05
Groot 1988   33  0.7762  0.0050  0.0453  0.0434  0.0859  0.06
Hatto 1993   7  0.859  0.0214  0.088  0.518  0.565  0.53
Hatto 1997   3  0.856  0.0318  0.1610  0.5013  0.556  0.52
Horszowski 1983   28  0.7751  0.0058  0.0459  0.0427  0.1754  0.08
Indjic 2001   4  0.8527  0.0017  0.119  0.5010  0.564  0.53
Katin 1996   20  0.8056  0.0031  0.0629  0.1917  0.4329  0.29
Kiepura 1999   60  0.5141  0.0053  0.0363  0.0318  0.2952  0.09
Korecka 1992   46  0.6865  0.0060  0.0462  0.0410  0.4342  0.13
Kushner 1990   59  0.5520  0.0149  0.0544  0.0516  0.3343  0.13
Lilamand 2001   40  0.7552  0.0044  0.0452  0.0412  0.3848  0.12
Luisada 1990   44  0.7221  0.0146  0.0451  0.0426  0.2053  0.09
Luisada 2008   50  0.6625  0.0061  0.0542  0.0540  0.0561  0.05
Lushtak 2004   37  0.7512  0.0138  0.0545  0.0520  0.3444  0.13
Malcuzynski 1951   38  0.7517  0.016  0.187  0.5215  0.508  0.51
Malcuzynski 1961   48  0.6628  0.007  0.1312  0.4513  0.4613  0.45
Magaloff 1977   53  0.6457  0.0054  0.0364  0.0339  0.0762  0.05
Magin 1975   31  0.7734  0.0048  0.0639  0.0623  0.2841  0.13
Meguri 1997   57  0.5937  0.0021  0.0731  0.1461  0.0456  0.07
Milkina 1970   2  0.864  0.044  0.142  0.645  0.682  0.66
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Nezu 2005   47  0.6848  0.0023  0.0820  0.3521  0.3126  0.33
Ohlsson 1999   21  0.808  0.0313  0.1124  0.2815  0.3925  0.33
Olejniczak 1990   17  0.8026  0.0027  0.1026  0.248  0.4724  0.34
Osinska 1989   8  0.832  0.052  0.186  0.5515  0.487  0.51
Perlemuter 1992   18  0.8011  0.0136  0.0549  0.053  0.5933  0.17
Poblocka 1999   16  0.8153  0.0022  0.0715  0.4019  0.4715  0.43
Rangell 2001   24  0.7838  0.0039  0.0541  0.0521  0.3245  0.13
Richter 1960   32  0.7732  0.0024  0.0822  0.3510  0.4718  0.41
Richter 1961   34  0.7639  0.0019  0.0819  0.379  0.4817  0.42
Rosen 1989   11  0.8214  0.0130  0.0828  0.204  0.5427  0.33
Rubinstein 1939   15  0.8250  0.0025  0.1021  0.3513  0.5514  0.44
Rubinstein 1952   45  0.7219  0.0132  0.0727  0.2118  0.4228  0.30
Rubinstein 1966   30  0.7729  0.0033  0.0930  0.1822  0.3730  0.26
Rudanovskaya 2007   9  0.833  0.0429  0.0632  0.129  0.5531  0.26
Shebanova 2002   13  0.8247  0.0016  0.0814  0.4216  0.3221  0.37
Smith 1975   35  0.7654  0.0028  0.0633  0.118  0.4632  0.22
Sztompka 1959   29  0.7746  0.0043  0.0461  0.0414  0.4739  0.14
Tanyel 1992   22  0.7913  0.0120  0.0823  0.3416  0.3723  0.35
Tsujii 2005   6  0.8516  0.019  0.193  0.5717  0.4112  0.48
Uninsky 1959   12  0.825  0.0311  0.1413  0.459  0.5410  0.49
Vardi 1988   25  0.7855  0.0037  0.0550  0.0516  0.3838  0.14
Wasowski 1980   58  0.5959  0.0059  0.0454  0.0434  0.0957  0.06
Zimerman 1975   41  0.7361  0.0034  0.0835  0.0815  0.3534  0.17
Average   1  0.881  0.561  0.551  0.768  0.621  0.69
Random 1   67  -0.1063  0.0066  0.0266  0.0242  0.0467  0.03
Random 2   65  -0.0166  0.0065  0.0365  0.0313  0.3651  0.10
Random 3   66  -0.0867  0.0067  0.0167  0.0130  0.1665  0.04

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).