Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   67  -0.1553  0.0063  0.0356  0.0367  0.0156  0.02
Ax 1995   50  -0.1021  0.0047  0.0442  0.0467  0.0157  0.02
Bacha 1998   20  -0.0741  0.0032  0.0530  0.1265  0.0225  0.05
Barbosa 1983   43  -0.1019  0.0127  0.0432  0.0967  0.0136  0.03
BenOr 1989   66  -0.1465  0.0064  0.0266  0.0267  0.0166  0.01
Biret 1990   27  -0.0832  0.0033  0.0433  0.0966  0.0232  0.04
Brailowsky 1960   40  -0.1038  0.0035  0.0536  0.0566  0.0233  0.03
Chiu 1999   6  -0.016  0.045  0.165  0.5465  0.033  0.13
Clidat 1994   62  -0.1343  0.0057  0.0358  0.0367  0.0153  0.02
Cohen 1997   34  -0.0948  0.0060  0.0261  0.0267  0.0164  0.01
Cortot 1951   4  -0.0110  0.0210  0.1111  0.4066  0.0213  0.09
Csalog 1996   60  -0.1250  0.0061  0.0259  0.0267  0.0163  0.01
Czerny 1989   3  0.004  0.103  0.218  0.5165  0.026  0.10
Ezaki 2006   59  -0.1236  0.0056  0.0352  0.0367  0.0141  0.02
Falvay 1989   42  -0.1057  0.0048  0.0348  0.0366  0.0246  0.02
Fiorentino 1962   24  -0.0862  0.0037  0.0734  0.0766  0.0231  0.04
Fliere 1977   33  -0.0915  0.0129  0.0627  0.1567  0.0128  0.04
Fou 1978   44  -0.1025  0.0051  0.0353  0.0366  0.0247  0.02
Francois 1956   7  -0.0314  0.016  0.217  0.5166  0.029  0.10
Goldenweiser 1946   36  -0.0934  0.0034  0.0535  0.0567  0.0143  0.02
Gornostaeva 1994   13  -0.068  0.0311  0.1114  0.3167  0.0123  0.06
Groot 1988   47  -0.1055  0.0028  0.0431  0.1266  0.0227  0.05
Hatto 1993   46  -0.1052  0.0042  0.0354  0.0367  0.0159  0.02
Hatto 1997   56  -0.1266  0.0043  0.0437  0.0466  0.0151  0.02
Horszowski 1983   51  -0.1122  0.0041  0.0445  0.0467  0.0142  0.02
Indjic 2001   49  -0.1040  0.0039  0.0440  0.0466  0.0240  0.03
Katin 1996   41  -0.1058  0.0020  0.0621  0.2266  0.0220  0.07
Kiepura 1999   8  -0.045  0.057  0.159  0.4966  0.025  0.10
Korecka 1992   38  -0.0923  0.0049  0.0351  0.0367  0.0148  0.02
Kushner 1990   28  -0.0812  0.0138  0.0439  0.0466  0.0235  0.03
Lilamand 2001   18  -0.0727  0.0023  0.0918  0.3066  0.0215  0.08
Luisada 1990   23  -0.0849  0.0022  0.0916  0.3166  0.0216  0.08
Luisada 2008   25  -0.0861  0.0025  0.0626  0.1567  0.0129  0.04
Lushtak 2004   16  -0.0626  0.0018  0.0715  0.3166  0.0217  0.08
Malcuzynski 1951   17  -0.0611  0.019  0.136  0.5166  0.027  0.10
Malcuzynski 1961   5  -0.012  0.134  0.171  0.6165  0.024  0.11
Magaloff 1977   55  -0.1130  0.0036  0.0438  0.0467  0.0152  0.02
Magin 1975   63  -0.1351  0.0066  0.0264  0.0267  0.0161  0.01
Meguri 1997   15  -0.0624  0.0017  0.0823  0.2065  0.0222  0.06
Milkina 1970   19  -0.0746  0.0026  0.0625  0.1666  0.0221  0.06
Mohovich 1999   21  -0.0735  0.0030  0.0528  0.1466  0.0226  0.05
Nezu 2005   26  -0.0856  0.0055  0.0441  0.0466  0.0239  0.03
Ohlsson 1999   53  -0.1117  0.0131  0.0529  0.1267  0.0134  0.03
Olejniczak 1990   65  -0.1439  0.0067  0.0167  0.0167  0.0167  0.01
Osinska 1989   30  -0.0947  0.0046  0.0347  0.0366  0.0244  0.02
Perlemuter 1992   39  -0.107  0.0313  0.1020  0.2867  0.0124  0.05
Poblocka 1999   61  -0.1345  0.0062  0.0263  0.0266  0.0245  0.02
Rangell 2001   29  -0.0920  0.0154  0.0355  0.0366  0.0258  0.02
Richter 1960   9  -0.0418  0.0112  0.1110  0.4566  0.0212  0.09
Richter 1961   10  -0.0413  0.0114  0.1013  0.3766  0.0210  0.09
Rosen 1989   54  -0.1116  0.0145  0.0444  0.0467  0.0155  0.02
Rubinstein 1939   35  -0.0931  0.0016  0.0917  0.3066  0.0214  0.08
Rubinstein 1952   11  -0.049  0.028  0.164  0.5566  0.028  0.10
Rubinstein 1966   12  -0.0663  0.0015  0.1312  0.3966  0.0211  0.09
Rudanovskaya 2007   31  -0.0942  0.0019  0.0624  0.1667  0.0130  0.04
Shebanova 2002   32  -0.0928  0.0040  0.0446  0.0466  0.0237  0.03
Smith 1975   52  -0.1159  0.0059  0.0262  0.0267  0.0160  0.01
Sztompka 1959   57  -0.1260  0.0058  0.0260  0.0267  0.0162  0.01
Tanyel 1992   45  -0.1054  0.0050  0.0350  0.0366  0.0254  0.02
Tsujii 2005   37  -0.0964  0.0044  0.0443  0.0466  0.0238  0.03
Uninsky 1959   58  -0.1237  0.0052  0.0357  0.0367  0.0149  0.02
Vardi 1988   14  -0.0633  0.0021  0.0719  0.2866  0.0219  0.07
Wasowski 1980   22  -0.0729  0.0024  0.0722  0.2266  0.0218  0.07
Zimerman 1975   64  -0.1344  0.0065  0.0265  0.0267  0.0165  0.01
Average   48  -0.1067  0.0053  0.0349  0.0366  0.0250  0.02
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   1  0.061  0.291  0.293  0.571  0.581  0.57
Random 3   2  0.013  0.122  0.272  0.617  0.432  0.51

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).