Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   6  0.881  0.291  0.291  0.681  0.714  0.69
Ax 1995   42  0.8035  0.0044  0.0646  0.0612  0.3556  0.14
Bacha 1998   48  0.7863  0.0050  0.0558  0.0512  0.4654  0.15
Barbosa 1983   59  0.7158  0.0051  0.0648  0.0617  0.4252  0.16
BenOr 1989   52  0.7713  0.0133  0.0743  0.073  0.5543  0.20
Biret 1990   26  0.8423  0.0138  0.1133  0.119  0.4837  0.23
Brailowsky 1960   44  0.8055  0.0053  0.0647  0.0610  0.4150  0.16
Chiu 1999   38  0.8121  0.0145  0.0552  0.056  0.6447  0.18
Clidat 1994   25  0.8546  0.0016  0.0715  0.322  0.7112  0.48
Cohen 1997   60  0.6862  0.0061  0.0460  0.049  0.5255  0.14
Cortot 1951   63  0.6157  0.0063  0.0651  0.0616  0.3357  0.14
Csalog 1996   18  0.8611  0.0234  0.0739  0.073  0.5940  0.20
Czerny 1989   39  0.8134  0.0047  0.0554  0.054  0.5451  0.16
Ezaki 2006   15  0.8741  0.0039  0.0934  0.094  0.5934  0.23
Falvay 1989   5  0.898  0.046  0.204  0.641  0.743  0.69
Fiorentino 1962   2  0.912  0.133  0.322  0.661  0.811  0.73
Fliere 1977   4  0.8947  0.007  0.178  0.472  0.598  0.53
Fou 1978   37  0.8133  0.0023  0.0629  0.166  0.5929  0.31
Francois 1956   49  0.7836  0.0048  0.0553  0.055  0.6248  0.18
Goldenweiser 1946   61  0.6654  0.0062  0.0463  0.0423  0.2163  0.09
Gornostaeva 1994   58  0.7348  0.0049  0.0555  0.055  0.5849  0.17
Groot 1988   8  0.8729  0.0015  0.0812  0.341  0.6113  0.46
Hatto 1993   28  0.8442  0.0028  0.0719  0.2713  0.4427  0.34
Hatto 1997   29  0.8412  0.0126  0.0718  0.2712  0.4525  0.35
Horszowski 1983   55  0.7532  0.0055  0.0745  0.077  0.3453  0.15
Indjic 2001   27  0.8456  0.0029  0.1222  0.2510  0.4626  0.34
Katin 1996   10  0.8727  0.0030  0.0632  0.127  0.6332  0.27
Kiepura 1999   62  0.6640  0.0060  0.0459  0.0420  0.2662  0.10
Korecka 1992   56  0.7352  0.0059  0.0462  0.0420  0.2960  0.11
Kushner 1990   57  0.7344  0.0021  0.0627  0.181  0.6028  0.33
Lilamand 2001   54  0.7524  0.0056  0.0741  0.073  0.6438  0.21
Luisada 1990   34  0.8249  0.0031  0.0630  0.145  0.6530  0.30
Luisada 2008   43  0.8053  0.0043  0.0649  0.066  0.6145  0.19
Lushtak 2004   16  0.865  0.045  0.167  0.481  0.776  0.61
Malcuzynski 1951   47  0.784  0.0812  0.1014  0.333  0.6314  0.46
Malcuzynski 1961   46  0.7830  0.0013  0.1013  0.3412  0.4318  0.38
Magaloff 1977   23  0.8520  0.0122  0.0621  0.261  0.7216  0.43
Magin 1975   41  0.8131  0.0052  0.0557  0.0520  0.3558  0.13
Meguri 1997   36  0.819  0.039  0.1220  0.261  0.7015  0.43
Milkina 1970   21  0.8528  0.0027  0.0724  0.239  0.5921  0.37
Mohovich 1999   19  0.8638  0.0024  0.0725  0.222  0.6123  0.37
Nezu 2005   35  0.8219  0.0117  0.1016  0.3012  0.4522  0.37
Ohlsson 1999   7  0.8718  0.0125  0.0623  0.254  0.5819  0.38
Olejniczak 1990   31  0.8361  0.0040  0.0738  0.074  0.5944  0.20
Osinska 1989   12  0.8715  0.0110  0.169  0.474  0.579  0.52
Perlemuter 1992   50  0.7859  0.0057  0.0461  0.0413  0.3859  0.12
Poblocka 1999   3  0.8922  0.014  0.185  0.601  0.715  0.65
Rangell 2001   14  0.8750  0.0019  0.0728  0.171  0.7524  0.36
Richter 1960   45  0.7925  0.0046  0.0744  0.079  0.5641  0.20
Richter 1961   53  0.7643  0.0054  0.0742  0.0711  0.4746  0.18
Rosen 1989   22  0.857  0.0432  0.0731  0.131  0.6531  0.29
Rubinstein 1939   13  0.8726  0.008  0.126  0.494  0.747  0.60
Rubinstein 1952   33  0.8317  0.0118  0.0917  0.294  0.6517  0.43
Rubinstein 1966   9  0.8714  0.0111  0.1110  0.448  0.5810  0.51
Rudanovskaya 2007   30  0.8460  0.0042  0.0650  0.062  0.7042  0.20
Shebanova 2002   1  0.913  0.132  0.273  0.661  0.772  0.71
Smith 1975   24  0.8539  0.0041  0.0837  0.081  0.7033  0.24
Sztompka 1959   51  0.7745  0.0058  0.0556  0.0525  0.2461  0.11
Tanyel 1992   17  0.8610  0.0220  0.0626  0.211  0.6920  0.38
Tsujii 2005   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1959   11  0.876  0.0414  0.1011  0.385  0.6311  0.49
Vardi 1988   32  0.8337  0.0036  0.0836  0.082  0.6636  0.23
Wasowski 1980   40  0.8151  0.0037  0.0935  0.093  0.6135  0.23
Zimerman 1975   20  0.8616  0.0135  0.0740  0.073  0.6439  0.21
Random 1   66  -0.0964  0.0065  0.0265  0.0246  0.0464  0.03
Random 2   64  0.0066  0.0066  0.0166  0.0138  0.0566  0.02
Random 3   65  0.0065  0.0064  0.0264  0.0244  0.0465  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).