Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   10  0.7249  0.0018  0.0714  0.3348  0.0524  0.13
Ax 1995   38  0.6546  0.0026  0.0529  0.1738  0.0734  0.11
Bacha 1998   51  0.6347  0.0047  0.0539  0.0559  0.0457  0.04
Barbosa 1983   9  0.7217  0.0114  0.0613  0.3422  0.346  0.34
BenOr 1989   1  0.771  0.211  0.203  0.535  0.531  0.53
Biret 1990   5  0.7524  0.007  0.186  0.4731  0.1114  0.23
Brailowsky 1960   18  0.7038  0.0020  0.0623  0.2622  0.3210  0.29
Chiu 1999   56  0.5764  0.0048  0.0448  0.0446  0.0555  0.04
Clidat 1994   30  0.6616  0.0123  0.0926  0.2130  0.1718  0.19
Cohen 1997   57  0.5728  0.0061  0.0443  0.0429  0.2141  0.09
Cortot 1951   43  0.6551  0.0052  0.0361  0.039  0.4135  0.11
Csalog 1996   31  0.6655  0.0053  0.0457  0.0457  0.0461  0.04
Czerny 1989   59  0.5561  0.0049  0.0363  0.0335  0.0658  0.04
Ezaki 2006   28  0.6636  0.0051  0.0360  0.0359  0.0464  0.03
Falvay 1989   42  0.655  0.078  0.1322  0.2827  0.2111  0.24
Fiorentino 1962   22  0.6856  0.0033  0.1033  0.1038  0.0743  0.08
Fliere 1977   45  0.6463  0.0045  0.0459  0.0453  0.0554  0.04
Fou 1978   24  0.6750  0.0042  0.0450  0.0452  0.0556  0.04
Francois 1956   58  0.5635  0.0060  0.0449  0.0450  0.0563  0.04
Goldenweiser 1946   61  0.5359  0.0055  0.0452  0.0417  0.3131  0.11
Gornostaeva 1994   47  0.6360  0.0044  0.0362  0.0353  0.0562  0.04
Groot 1988   23  0.6811  0.0211  0.0710  0.3629  0.1612  0.24
Hatto 1993   36  0.6640  0.0030  0.1218  0.2951  0.0625  0.13
Hatto 1997   34  0.6619  0.0128  0.0619  0.2941  0.0720  0.14
Horszowski 1983   54  0.6133  0.0035  0.0535  0.0519  0.2137  0.10
Indjic 2001   35  0.6627  0.0029  0.0721  0.2853  0.0529  0.12
Katin 1996   32  0.6613  0.0125  0.0632  0.1232  0.1228  0.12
Kiepura 1999   13  0.7218  0.0139  0.0454  0.0416  0.3626  0.12
Korecka 1992   20  0.6958  0.0041  0.0444  0.0419  0.3232  0.11
Kushner 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lilamand 2001   52  0.6237  0.0056  0.0442  0.0427  0.2538  0.10
Luisada 1990   44  0.6520  0.0031  0.0928  0.2124  0.2215  0.21
Luisada 2008   40  0.6514  0.0134  0.0538  0.0525  0.2433  0.11
Lushtak 2004   19  0.7023  0.0024  0.0824  0.2629  0.2013  0.23
Malcuzynski 1951   11  0.7225  0.0021  0.0927  0.2136  0.0636  0.11
Malcuzynski 1961   2  0.7610  0.026  0.184  0.5230  0.199  0.31
Magaloff 1977   37  0.6548  0.0043  0.0540  0.0543  0.0747  0.06
Magin 1975   16  0.7130  0.0027  0.0531  0.1457  0.0444  0.07
Meguri 1997   55  0.5865  0.0050  0.0364  0.0349  0.0560  0.04
Milkina 1970   14  0.712  0.172  0.172  0.5723  0.372  0.46
Mohovich 1999   46  0.648  0.0316  0.0820  0.2929  0.1516  0.21
Nezu 2005   12  0.7232  0.0013  0.1016  0.3143  0.0621  0.14
Ohlsson 1999   39  0.6529  0.0037  0.0446  0.0451  0.0459  0.04
Olejniczak 1990   17  0.7143  0.0012  0.0717  0.3052  0.0530  0.12
Osinska 1989   3  0.756  0.074  0.145  0.5229  0.208  0.32
Perlemuter 1992   53  0.6122  0.0058  0.0536  0.0529  0.1639  0.09
Poblocka 1999   8  0.7321  0.0019  0.0911  0.3443  0.0719  0.15
Rangell 2001   27  0.6715  0.0136  0.0445  0.0432  0.1446  0.07
Richter 1960   60  0.5352  0.0059  0.0447  0.0439  0.0651  0.05
Richter 1961   63  0.4553  0.0063  0.0534  0.0546  0.0548  0.05
Rosen 1989   49  0.6344  0.0038  0.0453  0.0432  0.1145  0.07
Rubinstein 1939   33  0.6634  0.0022  0.0725  0.2440  0.0627  0.12
Rubinstein 1952   15  0.7139  0.0015  0.0815  0.3232  0.1217  0.20
Rubinstein 1966   25  0.6742  0.0032  0.0730  0.1445  0.0640  0.09
Rudanovskaya 2007   62  0.5054  0.0062  0.0451  0.0434  0.0752  0.05
Shebanova 2002   26  0.6726  0.0017  0.0812  0.3457  0.0522  0.13
Smith 1975   48  0.6357  0.0054  0.0456  0.0434  0.0749  0.05
Sztompka 1959   50  0.6331  0.0057  0.0537  0.0541  0.0650  0.05
Tanyel 1992   4  0.754  0.085  0.198  0.4516  0.373  0.41
Tsujii 2005   7  0.733  0.123  0.181  0.6027  0.187  0.33
Uninsky 1959   21  0.699  0.0310  0.137  0.4627  0.255  0.34
Vardi 1988   41  0.6512  0.0246  0.0441  0.0428  0.1842  0.08
Wasowski 1980   6  0.747  0.039  0.149  0.4118  0.384  0.39
Zimerman 1975   29  0.6641  0.0040  0.0455  0.0443  0.0653  0.05
Random 1   66  -0.0845  0.0065  0.0265  0.0239  0.0465  0.03
Random 2   65  -0.0866  0.0066  0.0166  0.0165  0.0266  0.01
Random 3   64  0.0662  0.0064  0.0458  0.046  0.4223  0.13

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).