Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.4748  0.0044  0.1134  0.117  0.6535  0.27
Ax 1995   43  0.5949  0.0037  0.0745  0.0710  0.5449  0.19
Bacha 1998   55  0.5443  0.0050  0.0561  0.0510  0.5956  0.17
Barbosa 1983   51  0.5625  0.0032  0.0932  0.182  0.7531  0.37
BenOr 1989   11  0.6911  0.0013  0.1815  0.593  0.8114  0.69
Biret 1990   25  0.656  0.0018  0.1220  0.473  0.7322  0.59
Brailowsky 1960   37  0.6137  0.0024  0.1324  0.413  0.7523  0.55
Chiu 1999   53  0.5552  0.0055  0.0462  0.046  0.6662  0.16
Clidat 1994   48  0.5713  0.0039  0.0647  0.063  0.6648  0.20
Cohen 1997   64  0.3850  0.0064  0.0652  0.0610  0.5753  0.18
Cortot 1951   58  0.5236  0.0062  0.0557  0.053  0.6060  0.17
Csalog 1996   8  0.7021  0.008  0.178  0.672  0.857  0.75
Czerny 1989   21  0.6533  0.0021  0.1222  0.473  0.7620  0.60
Ezaki 2006   27  0.6427  0.0030  0.0830  0.222  0.7430  0.40
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fiorentino 1962   12  0.6814  0.0012  0.1411  0.642  0.7811  0.71
Fliere 1977   41  0.6041  0.0041  0.0936  0.096  0.6836  0.25
Fou 1978   22  0.6553  0.0029  0.0929  0.267  0.6629  0.41
Francois 1956   59  0.5162  0.0059  0.0648  0.0614  0.4163  0.16
Goldenweiser 1946   45  0.585  0.0045  0.0838  0.083  0.7137  0.24
Gornostaeva 1994   56  0.5360  0.0048  0.0742  0.072  0.7841  0.23
Groot 1988   13  0.683  0.007  0.169  0.662  0.8010  0.73
Hatto 1993   10  0.7023  0.0015  0.1514  0.625  0.7715  0.69
Hatto 1997   6  0.7029  0.0014  0.1113  0.634  0.7713  0.70
Horszowski 1983   61  0.5063  0.0060  0.0555  0.059  0.5361  0.16
Indjic 2001   4  0.7119  0.009  0.176  0.685  0.789  0.73
Katin 1996   7  0.7032  0.006  0.134  0.742  0.814  0.77
Kiepura 1999   40  0.6047  0.0043  0.1035  0.105  0.7434  0.27
Korecka 1992   44  0.5959  0.0052  0.0463  0.046  0.7157  0.17
Kushner 1990   36  0.6238  0.0036  0.0746  0.074  0.6943  0.22
Lilamand 2001   60  0.5151  0.0061  0.0553  0.057  0.5759  0.17
Luisada 1990   31  0.6442  0.0031  0.0831  0.199  0.6632  0.35
Luisada 2008   46  0.5857  0.0047  0.0937  0.0913  0.6539  0.24
Lushtak 2004   20  0.6634  0.0025  0.1225  0.376  0.6925  0.51
Malcuzynski 1951   39  0.6015  0.0042  0.0841  0.087  0.6842  0.23
Malcuzynski 1961   17  0.6724  0.0017  0.1318  0.516  0.6821  0.59
Magaloff 1977   54  0.5530  0.0057  0.0556  0.059  0.6451  0.18
Magin 1975   26  0.6439  0.0028  0.0928  0.284  0.7327  0.45
Meguri 1997   50  0.5612  0.0054  0.0560  0.058  0.5758  0.17
Milkina 1970   5  0.7016  0.004  0.205  0.722  0.833  0.77
Mohovich 1999   34  0.6258  0.0040  0.0840  0.086  0.5945  0.22
Nezu 2005   9  0.7054  0.0016  0.1116  0.554  0.8216  0.67
Ohlsson 1999   29  0.6428  0.0027  0.0827  0.296  0.7128  0.45
Olejniczak 1990   19  0.6626  0.0033  0.0933  0.177  0.7133  0.35
Osinska 1989   2  0.747  0.002  0.442  0.852  0.862  0.85
Perlemuter 1992   62  0.4965  0.0063  0.0650  0.063  0.5350  0.18
Poblocka 1999   24  0.6556  0.0034  0.0649  0.065  0.7247  0.21
Rangell 2001   49  0.5722  0.0056  0.0558  0.0514  0.6354  0.18
Richter 1960   47  0.5845  0.0053  0.0464  0.048  0.6064  0.15
Richter 1961   57  0.5331  0.0058  0.0554  0.058  0.6055  0.17
Rosen 1989   35  0.6244  0.0035  0.0744  0.076  0.6844  0.22
Rubinstein 1939   33  0.6210  0.0026  0.1426  0.334  0.7526  0.50
Rubinstein 1952   30  0.6440  0.0019  0.1317  0.523  0.8217  0.65
Rubinstein 1966   18  0.668  0.0010  0.1712  0.634  0.7812  0.70
Rudanovskaya 2007   42  0.5955  0.0051  0.0559  0.053  0.6652  0.18
Shebanova 2002   32  0.6317  0.0038  0.0743  0.073  0.7340  0.23
Smith 1975   28  0.6435  0.0020  0.1319  0.492  0.8018  0.63
Sztompka 1959   38  0.6046  0.0046  0.0839  0.085  0.7238  0.24
Tanyel 1992   23  0.659  0.0022  0.1021  0.473  0.7919  0.61
Tsujii 2005   3  0.722  0.003  0.173  0.752  0.785  0.76
Uninsky 1959   15  0.684  0.0023  0.1223  0.444  0.7024  0.55
Vardi 1988   16  0.6720  0.0011  0.1310  0.652  0.876  0.75
Wasowski 1980   52  0.5661  0.0049  0.0651  0.066  0.7446  0.21
Zimerman 1975   14  0.6818  0.005  0.177  0.682  0.818  0.74
Average   1  0.861  0.951  0.931  0.971  0.901  0.93
Random 1   65  0.0066  0.0066  0.0266  0.0250  0.0367  0.02
Random 2   66  0.0067  0.0067  0.0167  0.0153  0.0466  0.02
Random 3   67  0.0064  0.0065  0.0365  0.0339  0.0565  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).