Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   43  0.6953  0.0028  0.0729  0.2228  0.2230  0.22
Ax 1995   46  0.6846  0.0047  0.0740  0.0756  0.0664  0.06
Bacha 1998   49  0.6560  0.0054  0.0653  0.0636  0.0859  0.07
Barbosa 1983   61  0.5928  0.0048  0.0650  0.0646  0.0762  0.06
BenOr 1989   26  0.7114  0.0013  0.1212  0.457  0.707  0.56
Biret 1990   3  0.796  0.013  0.333  0.643  0.772  0.70
Brailowsky 1960   21  0.7335  0.0031  0.1027  0.293  0.7111  0.45
Chiu 1999   45  0.6854  0.0046  0.0647  0.0622  0.3946  0.15
Clidat 1994   39  0.7039  0.0032  0.0832  0.1613  0.5626  0.30
Cohen 1997   64  0.5261  0.0064  0.0652  0.0633  0.1356  0.09
Cortot 1951   63  0.5252  0.0063  0.0648  0.069  0.4145  0.16
Csalog 1996   6  0.7716  0.006  0.176  0.594  0.704  0.64
Czerny 1989   37  0.7012  0.0037  0.0738  0.0717  0.4837  0.18
Ezaki 2006   44  0.6862  0.0052  0.0560  0.0535  0.1058  0.07
Falvay 1989   2  0.812  0.012  0.552  0.777  0.583  0.67
Fiorentino 1962   8  0.7641  0.005  0.217  0.589  0.586  0.58
Fliere 1977   19  0.7331  0.0024  0.0824  0.3221  0.3522  0.33
Fou 1978   30  0.7142  0.0020  0.0926  0.3022  0.3623  0.33
Francois 1956   51  0.659  0.0053  0.0464  0.0416  0.4251  0.13
Goldenweiser 1946   53  0.6436  0.0051  0.0558  0.052  0.7134  0.19
Gornostaeva 1994   62  0.5864  0.0056  0.0642  0.0635  0.1157  0.08
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   11  0.7533  0.0014  0.1011  0.4529  0.2720  0.35
Hatto 1997   13  0.7544  0.0016  0.0715  0.4229  0.2624  0.33
Horszowski 1983   58  0.6240  0.0057  0.0561  0.0524  0.1954  0.10
Indjic 2001   12  0.7559  0.0015  0.0913  0.4430  0.2819  0.35
Katin 1996   5  0.775  0.014  0.154  0.617  0.655  0.63
Kiepura 1999   59  0.6211  0.0055  0.0555  0.0514  0.4942  0.16
Korecka 1992   55  0.6420  0.0058  0.0462  0.0425  0.2852  0.11
Kushner 1990   50  0.6529  0.0035  0.0934  0.0916  0.4035  0.19
Lilamand 2001   60  0.603  0.0162  0.0645  0.0631  0.2153  0.11
Luisada 1990   28  0.7130  0.0033  0.0733  0.1423  0.4228  0.24
Luisada 2008   41  0.6922  0.0042  0.0651  0.0624  0.4243  0.16
Lushtak 2004   17  0.7324  0.0010  0.1317  0.3918  0.4713  0.43
Malcuzynski 1951   54  0.6413  0.0027  0.0831  0.1928  0.2233  0.20
Malcuzynski 1961   47  0.6726  0.0017  0.1016  0.4030  0.1727  0.26
Magaloff 1977   38  0.7034  0.0044  0.0835  0.0813  0.4436  0.19
Magin 1975   35  0.7017  0.0040  0.0557  0.0532  0.1855  0.09
Meguri 1997   29  0.7138  0.0045  0.0739  0.0711  0.4839  0.18
Milkina 1970   36  0.7027  0.0034  0.0737  0.0746  0.0661  0.06
Mohovich 1999   22  0.7251  0.0029  0.0830  0.2128  0.2429  0.22
Nezu 2005   33  0.7163  0.0018  0.0822  0.3647  0.0744  0.16
Ohlsson 1999   10  0.7515  0.0021  0.1118  0.3919  0.4115  0.40
Olejniczak 1990   9  0.7619  0.009  0.1014  0.4212  0.629  0.51
Osinska 1989   15  0.7423  0.007  0.105  0.6131  0.2217  0.37
Perlemuter 1992   52  0.6456  0.0061  0.0463  0.049  0.4149  0.13
Poblocka 1999   16  0.7455  0.0022  0.1020  0.3831  0.2325  0.30
Rangell 2001   56  0.6457  0.0060  0.0649  0.0643  0.0765  0.06
Richter 1960   48  0.6718  0.0050  0.0641  0.0621  0.2850  0.13
Richter 1961   57  0.6349  0.0059  0.0559  0.0535  0.0860  0.06
Rosen 1989   20  0.734  0.0126  0.0825  0.3110  0.5514  0.41
Rubinstein 1939   24  0.7225  0.0023  0.0819  0.3922  0.4016  0.39
Rubinstein 1952   34  0.7050  0.0019  0.0921  0.3725  0.3321  0.35
Rubinstein 1966   14  0.758  0.0112  0.118  0.5318  0.4510  0.49
Rudanovskaya 2007   27  0.7137  0.0043  0.0643  0.063  0.6932  0.20
Shebanova 2002   25  0.7247  0.0038  0.0654  0.0645  0.0763  0.06
Smith 1975   18  0.7348  0.0025  0.0923  0.327  0.6212  0.45
Sztompka 1959   32  0.7158  0.0049  0.0646  0.0615  0.5338  0.18
Tanyel 1992   31  0.7110  0.0036  0.0736  0.0718  0.4540  0.18
Tsujii 2005   4  0.777  0.018  0.0910  0.5136  0.0931  0.21
Uninsky 1959   7  0.7643  0.0011  0.109  0.5316  0.558  0.54
Vardi 1988   40  0.7045  0.0030  0.0828  0.2313  0.5518  0.36
Wasowski 1980   42  0.6921  0.0039  0.0556  0.0510  0.5741  0.17
Zimerman 1975   23  0.7232  0.0041  0.0644  0.0625  0.3248  0.14
Average   1  0.861  0.881  0.871  0.9216  0.571  0.72
Random 1   66  -0.0367  0.0066  0.0266  0.0244  0.0466  0.03
Random 2   67  -0.0465  0.0067  0.0167  0.0165  0.0267  0.01
Random 3   65  0.0466  0.0065  0.0465  0.044  0.5147  0.14

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).