Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   20  0.6929  0.0012  0.1715  0.4714  0.508  0.48
Ax 1995   11  0.7319  0.0010  0.145  0.6317  0.487  0.55
Bacha 1998   56  0.5546  0.0055  0.0560  0.0559  0.0565  0.05
Barbosa 1983   61  0.5264  0.0038  0.0554  0.0539  0.0760  0.06
BenOr 1989   50  0.5831  0.0048  0.0934  0.0945  0.0755  0.08
Biret 1990   44  0.6327  0.0042  0.0651  0.0631  0.2846  0.13
Brailowsky 1960   39  0.6524  0.0046  0.0835  0.0831  0.2245  0.13
Chiu 1999   53  0.5761  0.0058  0.0463  0.0435  0.0764  0.05
Clidat 1994   25  0.6745  0.0021  0.0725  0.3130  0.2627  0.28
Cohen 1997   60  0.5349  0.0059  0.0558  0.054  0.6635  0.18
Cortot 1951   64  0.3266  0.0064  0.0556  0.0536  0.0762  0.06
Csalog 1996   30  0.6733  0.0032  0.0732  0.1711  0.4626  0.28
Czerny 1989   19  0.6957  0.0035  0.0837  0.0829  0.2344  0.14
Ezaki 2006   7  0.7534  0.0014  0.2414  0.4819  0.479  0.47
Falvay 1989   24  0.6832  0.0031  0.0830  0.2537  0.0842  0.14
Fiorentino 1962   29  0.6728  0.0030  0.0728  0.2733  0.1830  0.22
Fliere 1977   23  0.6812  0.0113  0.2117  0.4513  0.4613  0.45
Fou 1978   51  0.5860  0.0047  0.0742  0.0750  0.0659  0.06
Francois 1956   46  0.6142  0.0039  0.0557  0.0521  0.3447  0.13
Goldenweiser 1946   57  0.5530  0.0056  0.0464  0.0422  0.3548  0.12
Gornostaeva 1994   63  0.4613  0.0129  0.0633  0.1322  0.3431  0.21
Groot 1988   36  0.6543  0.0044  0.0652  0.0642  0.0761  0.06
Hatto 1993   5  0.7511  0.0117  0.3110  0.5924  0.3217  0.43
Hatto 1997   2  0.765  0.0215  0.196  0.6225  0.3610  0.47
Horszowski 1983   55  0.5640  0.0063  0.0647  0.0632  0.1349  0.09
Indjic 2001   3  0.766  0.0216  0.258  0.6125  0.3216  0.44
Katin 1996   22  0.6822  0.0020  0.0820  0.3420  0.4319  0.38
Kiepura 1999   58  0.5441  0.0053  0.0741  0.0736  0.1052  0.08
Korecka 1992   48  0.6051  0.0057  0.0562  0.0517  0.4440  0.15
Kushner 1990   54  0.578  0.0143  0.0838  0.0825  0.3138  0.16
Lilamand 2001   49  0.5835  0.0061  0.0559  0.0531  0.1750  0.09
Luisada 1990   37  0.6548  0.0049  0.0743  0.0720  0.4136  0.17
Luisada 2008   47  0.6015  0.0154  0.0561  0.0535  0.1057  0.07
Lushtak 2004   9  0.743  0.045  0.119  0.6111  0.615  0.61
Malcuzynski 1951   15  0.717  0.013  0.1412  0.5422  0.3912  0.46
Malcuzynski 1961   41  0.6436  0.0011  0.1313  0.5317  0.4011  0.46
Magaloff 1977   62  0.5158  0.0062  0.0646  0.0639  0.0858  0.07
Magin 1975   16  0.7110  0.0125  0.0627  0.2720  0.4421  0.34
Meguri 1997   52  0.5847  0.0037  0.0650  0.0633  0.1253  0.08
Milkina 1970   8  0.7417  0.019  0.103  0.6521  0.556  0.60
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Nezu 2005   40  0.6554  0.0022  0.0724  0.3243  0.0839  0.16
Ohlsson 1999   17  0.7153  0.0018  0.1023  0.3224  0.3820  0.35
Olejniczak 1990   14  0.7225  0.0019  0.1018  0.3718  0.5018  0.43
Osinska 1989   12  0.7316  0.017  0.1116  0.4722  0.4314  0.45
Perlemuter 1992   33  0.6618  0.0051  0.0645  0.061  0.7032  0.20
Poblocka 1999   18  0.7152  0.0023  0.0619  0.3631  0.2028  0.27
Rangell 2001   31  0.6637  0.0041  0.0555  0.0521  0.4341  0.15
Richter 1960   32  0.6644  0.0034  0.0649  0.0611  0.5334  0.18
Richter 1961   42  0.6439  0.0033  0.0931  0.1812  0.5023  0.30
Rosen 1989   4  0.752  0.056  0.157  0.622  0.741  0.68
Rubinstein 1939   21  0.6859  0.0024  0.0726  0.3029  0.2824  0.29
Rubinstein 1952   38  0.6521  0.0028  0.0722  0.3328  0.2625  0.29
Rubinstein 1966   26  0.6714  0.0127  0.0621  0.3328  0.3222  0.32
Rudanovskaya 2007   28  0.6720  0.0052  0.0739  0.0710  0.5533  0.20
Shebanova 2002   34  0.6655  0.0040  0.0648  0.0633  0.1451  0.09
Smith 1975   45  0.6338  0.0045  0.0836  0.0827  0.2643  0.14
Sztompka 1959   43  0.6350  0.0050  0.0744  0.0719  0.3837  0.16
Tanyel 1992   13  0.739  0.014  0.134  0.6411  0.604  0.62
Tsujii 2005   6  0.7523  0.008  0.1211  0.5629  0.3415  0.44
Uninsky 1959   10  0.734  0.032  0.162  0.699  0.573  0.63
Vardi 1988   27  0.6726  0.0036  0.0740  0.0745  0.0756  0.07
Wasowski 1980   59  0.5462  0.0060  0.0553  0.0550  0.0663  0.05
Zimerman 1975   35  0.6656  0.0026  0.0629  0.2732  0.2229  0.24
Average   1  0.821  0.701  0.691  0.8618  0.512  0.66
Random 1   66  -0.0365  0.0067  0.0167  0.0119  0.2266  0.05
Random 2   65  0.0063  0.0065  0.0265  0.0214  0.3254  0.08
Random 3   67  -0.0467  0.0066  0.0266  0.0233  0.0967  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).