Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   18  0.7219  0.0113  0.1110  0.4954  0.0511  0.16
Ax 1995   24  0.7010  0.019  0.1314  0.4246  0.0612  0.16
Bacha 1998   34  0.6817  0.0128  0.0629  0.1355  0.0435  0.07
Barbosa 1983   49  0.643  0.0818  0.1123  0.2750  0.0522  0.12
BenOr 1989   35  0.678  0.0239  0.0636  0.0650  0.0551  0.05
Biret 1990   10  0.7423  0.0012  0.0911  0.4746  0.0514  0.15
Brailowsky 1960   44  0.6550  0.0048  0.0450  0.0456  0.0454  0.04
Chiu 1999   62  0.5656  0.0063  0.0540  0.0554  0.0541  0.05
Clidat 1994   51  0.6340  0.0053  0.0446  0.0437  0.0745  0.05
Cohen 1997   61  0.5711  0.0145  0.0447  0.0441  0.0648  0.05
Cortot 1951   57  0.6154  0.0041  0.0542  0.0514  0.3516  0.13
Csalog 1996   38  0.6649  0.0051  0.0360  0.0350  0.0558  0.04
Czerny 1989   46  0.6451  0.0047  0.0362  0.0339  0.0656  0.04
Ezaki 2006   19  0.729  0.0231  0.0630  0.1258  0.0434  0.07
Falvay 1989   17  0.727  0.0219  0.1112  0.4554  0.0513  0.15
Fiorentino 1962   43  0.6529  0.0058  0.0451  0.0444  0.0649  0.05
Fliere 1977   30  0.6924  0.0034  0.0638  0.0635  0.0638  0.06
Fou 1978   40  0.6645  0.0038  0.1033  0.1061  0.0440  0.06
Francois 1956   63  0.5648  0.0061  0.0445  0.0461  0.0464  0.04
Goldenweiser 1946   45  0.6541  0.0036  0.0637  0.0620  0.2419  0.12
Gornostaeva 1994   60  0.5922  0.0143  0.0544  0.0558  0.0550  0.05
Groot 1988   31  0.6915  0.0130  0.0631  0.1258  0.0437  0.07
Hatto 1993   4  0.775  0.035  0.264  0.6644  0.066  0.20
Hatto 1997   6  0.7725  0.006  0.233  0.6648  0.064  0.20
Horszowski 1983   29  0.6921  0.0122  0.0826  0.2546  0.0617  0.12
Indjic 2001   5  0.7714  0.017  0.255  0.6544  0.065  0.20
Katin 1996   42  0.6626  0.0054  0.0457  0.0443  0.0643  0.05
Kiepura 1999   48  0.6428  0.0035  0.0635  0.0631  0.1033  0.08
Korecka 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1990   28  0.6944  0.0021  0.0719  0.3244  0.0426  0.11
Lilamand 2001   56  0.6132  0.0059  0.0454  0.0439  0.0744  0.05
Luisada 1990   22  0.7166  0.0020  0.0818  0.3339  0.0615  0.14
Luisada 2008   12  0.7334  0.0014  0.1316  0.3854  0.0423  0.12
Lushtak 2004   32  0.6861  0.0040  0.0541  0.0543  0.0646  0.05
Malcuzynski 1951   33  0.6835  0.0023  0.0825  0.2637  0.0625  0.12
Malcuzynski 1961   15  0.7357  0.0010  0.179  0.5343  0.069  0.18
Magaloff 1977   55  0.6127  0.0060  0.0449  0.0461  0.0561  0.04
Magin 1975   1  0.821  0.371  0.371  0.7210  0.512  0.61
Meguri 1997   50  0.6337  0.0055  0.0363  0.0343  0.0657  0.04
Milkina 1970   16  0.7239  0.0017  0.1117  0.3756  0.0420  0.12
Mohovich 1999   13  0.7342  0.0016  0.1115  0.4161  0.0328  0.11
Nezu 2005   27  0.7065  0.0032  0.0532  0.1057  0.0536  0.07
Ohlsson 1999   26  0.706  0.0215  0.0921  0.2944  0.0521  0.12
Olejniczak 1990   14  0.7336  0.0027  0.1027  0.2362  0.0430  0.10
Osinska 1989   3  0.7918  0.013  0.197  0.6250  0.057  0.18
Perlemuter 1992   37  0.6731  0.0042  0.0543  0.0557  0.0453  0.04
Poblocka 1999   8  0.7553  0.0011  0.0913  0.4444  0.078  0.18
Rangell 2001   21  0.7113  0.0126  0.0924  0.2655  0.0429  0.10
Richter 1960   58  0.6052  0.0056  0.0455  0.0453  0.0560  0.04
Richter 1961   59  0.5912  0.0144  0.0448  0.0451  0.0555  0.04
Rosen 1989   47  0.6463  0.0049  0.0359  0.0344  0.0563  0.04
Rubinstein 1939   53  0.6243  0.0057  0.0361  0.0362  0.0465  0.03
Rubinstein 1952   52  0.6360  0.0052  0.0453  0.0441  0.0652  0.05
Rubinstein 1966   39  0.6655  0.0046  0.0358  0.0357  0.0559  0.04
Rudanovskaya 2007   54  0.6162  0.0062  0.0452  0.0460  0.0462  0.04
Shebanova 2002   23  0.7038  0.0029  0.0628  0.1554  0.0531  0.09
Smith 1975   36  0.6764  0.0037  0.0834  0.0846  0.0539  0.06
Sztompka 1959   2  0.792  0.192  0.462  0.717  0.621  0.66
Tanyel 1992   25  0.7030  0.0033  0.0639  0.0651  0.0547  0.05
Tsujii 2005   11  0.7358  0.0025  0.0820  0.2962  0.0427  0.11
Uninsky 1959   7  0.7620  0.014  0.196  0.6333  0.073  0.21
Vardi 1988   41  0.6647  0.0050  0.0456  0.0438  0.0642  0.05
Wasowski 1980   20  0.7216  0.0124  0.0822  0.2755  0.0518  0.12
Zimerman 1975   9  0.754  0.068  0.178  0.5742  0.0610  0.18
Random 1   66  -0.0946  0.0066  0.0166  0.0151  0.0366  0.02
Random 2   65  0.0159  0.0065  0.0265  0.027  0.4132  0.09
Random 3   64  0.0633  0.0064  0.0364  0.033  0.5024  0.12

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).