Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   58  0.4543  0.0037  0.0643  0.0614  0.5439  0.18
Ax 1995   16  0.619  0.007  0.1710  0.673  0.687  0.67
Bacha 1998   56  0.4652  0.0054  0.0463  0.0423  0.3450  0.12
Barbosa 1983   49  0.5035  0.0034  0.0741  0.0723  0.4343  0.17
BenOr 1989   30  0.5740  0.0033  0.1131  0.2128  0.3733  0.28
Biret 1990   22  0.5912  0.0016  0.1120  0.5213  0.5917  0.55
Brailowsky 1960   35  0.5641  0.0027  0.0828  0.3116  0.5726  0.42
Chiu 1999   52  0.4848  0.0051  0.0554  0.0523  0.4345  0.15
Clidat 1994   47  0.5011  0.0040  0.0937  0.0910  0.4636  0.20
Cohen 1997   64  0.3842  0.0064  0.0647  0.0612  0.5240  0.18
Cortot 1951   61  0.4361  0.0063  0.0460  0.0428  0.2156  0.09
Csalog 1996   12  0.6129  0.0018  0.1017  0.557  0.6314  0.59
Czerny 1989   14  0.6128  0.0014  0.1213  0.588  0.6113  0.59
Ezaki 2006   24  0.5851  0.0028  0.0926  0.3316  0.4827  0.40
Falvay 1989   5  0.662  0.034  0.344  0.7812  0.636  0.70
Fiorentino 1962   17  0.6125  0.0013  0.1415  0.5617  0.5319  0.54
Fliere 1977   41  0.5245  0.0043  0.0742  0.0741  0.0760  0.07
Fou 1978   13  0.6120  0.0015  0.1114  0.5714  0.5316  0.55
Francois 1956   46  0.5137  0.0048  0.0457  0.0416  0.3751  0.12
Goldenweiser 1946   57  0.4522  0.0058  0.0550  0.0535  0.0862  0.06
Gornostaeva 1994   62  0.4138  0.0059  0.0556  0.0523  0.3849  0.14
Groot 1988   11  0.625  0.0110  0.2312  0.635  0.6310  0.63
Hatto 1993   29  0.5766  0.0035  0.0740  0.0736  0.0959  0.08
Hatto 1997   28  0.5764  0.0036  0.0938  0.0936  0.0955  0.09
Horszowski 1983   60  0.4459  0.0060  0.0548  0.0519  0.4048  0.14
Indjic 2001   21  0.5962  0.0030  0.1027  0.3229  0.2432  0.28
Katin 1996   6  0.6619  0.008  0.176  0.726  0.618  0.66
Kiepura 1999   34  0.5646  0.0032  0.0832  0.2016  0.6129  0.35
Korecka 1992   43  0.5253  0.0047  0.0646  0.0616  0.5142  0.17
Kushner 1990   32  0.5618  0.0023  0.1624  0.458  0.6020  0.52
Lilamand 2001   44  0.5232  0.0044  0.0551  0.054  0.6538  0.18
Luisada 1990   20  0.5923  0.0019  0.1319  0.5314  0.5618  0.54
Luisada 2008   39  0.5324  0.0042  0.1234  0.1220  0.5334  0.25
Lushtak 2004   25  0.5844  0.0022  0.1125  0.4315  0.4625  0.44
Malcuzynski 1951   40  0.5247  0.0046  0.0645  0.0635  0.0861  0.07
Malcuzynski 1961   8  0.657  0.016  0.219  0.6812  0.639  0.65
Magaloff 1977   50  0.4933  0.0053  0.0555  0.0516  0.4646  0.15
Magin 1975   26  0.5839  0.0024  0.1223  0.4617  0.5122  0.48
Meguri 1997   54  0.4731  0.0056  0.0462  0.0428  0.1857  0.08
Milkina 1970   3  0.684  0.013  0.433  0.793  0.744  0.76
Mohovich 1999   23  0.5927  0.0021  0.1421  0.4911  0.5321  0.51
Nezu 2005   10  0.6326  0.0012  0.1811  0.6312  0.6211  0.62
Ohlsson 1999   31  0.5654  0.0039  0.1036  0.1029  0.3237  0.18
Olejniczak 1990   37  0.5450  0.0041  0.1135  0.1127  0.2744  0.17
Osinska 1989   18  0.6017  0.0017  0.1316  0.5625  0.4023  0.47
Perlemuter 1992   59  0.4556  0.0061  0.0644  0.066  0.5041  0.17
Poblocka 1999   4  0.686  0.015  0.365  0.773  0.812  0.79
Rangell 2001   42  0.5260  0.0049  0.0553  0.0522  0.4847  0.15
Richter 1960   55  0.4610  0.0057  0.0458  0.0455  0.0565  0.04
Richter 1961   63  0.3857  0.0062  0.0464  0.0456  0.0564  0.04
Rosen 1989   27  0.5730  0.0031  0.0833  0.1920  0.4631  0.30
Rubinstein 1939   9  0.6316  0.009  0.237  0.705  0.745  0.72
Rubinstein 1952   2  0.693  0.022  0.422  0.822  0.891  0.85
Rubinstein 1966   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rudanovskaya 2007   51  0.4914  0.0052  0.0459  0.0421  0.3352  0.11
Shebanova 2002   48  0.5036  0.0050  0.0552  0.0531  0.2254  0.10
Smith 1975   19  0.6021  0.0020  0.1218  0.549  0.7012  0.61
Sztompka 1959   36  0.558  0.0038  0.0839  0.086  0.6635  0.23
Tanyel 1992   45  0.5158  0.0045  0.0549  0.0538  0.0863  0.06
Tsujii 2005   7  0.6513  0.0011  0.268  0.6818  0.5015  0.58
Uninsky 1959   15  0.6134  0.0025  0.1322  0.4718  0.4324  0.45
Vardi 1988   38  0.5415  0.0026  0.0929  0.2921  0.4728  0.37
Wasowski 1980   53  0.4855  0.0055  0.0461  0.0427  0.2553  0.10
Zimerman 1975   33  0.5649  0.0029  0.1030  0.2326  0.4830  0.33
Average   1  0.771  0.851  0.841  0.939  0.663  0.78
Random 1   67  -0.0265  0.0067  0.0167  0.0161  0.0367  0.02
Random 2   65  0.0563  0.0065  0.0266  0.0216  0.3658  0.08
Random 3   66  -0.0167  0.0066  0.0265  0.0244  0.0466  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).