Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   22  0.6732  0.0017  0.1211  0.5750  0.0623  0.18
Ax 1995   40  0.6336  0.0033  0.0833  0.1637  0.0835  0.11
Bacha 1998   37  0.6447  0.0032  0.1132  0.2326  0.2017  0.21
Barbosa 1983   55  0.5520  0.0045  0.0553  0.0547  0.0750  0.06
BenOr 1989   53  0.5954  0.0050  0.0646  0.0635  0.0945  0.07
Biret 1990   5  0.723  0.036  0.214  0.6930  0.334  0.48
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   51  0.5948  0.0054  0.0557  0.0535  0.0747  0.06
Clidat 1994   17  0.6828  0.0016  0.1012  0.5628  0.396  0.47
Cohen 1997   63  0.4853  0.0062  0.0463  0.0450  0.0564  0.04
Cortot 1951   60  0.5242  0.0060  0.0556  0.0517  0.2336  0.11
Csalog 1996   28  0.6631  0.0037  0.0936  0.0934  0.0738  0.08
Czerny 1989   42  0.6258  0.0040  0.0839  0.0861  0.0548  0.06
Ezaki 2006   45  0.6262  0.0052  0.0743  0.0764  0.0455  0.05
Falvay 1989   4  0.722  0.092  0.422  0.7530  0.1712  0.36
Fiorentino 1962   13  0.6922  0.0019  0.1514  0.5432  0.1614  0.29
Fliere 1977   7  0.7116  0.007  0.129  0.6025  0.309  0.42
Fou 1978   50  0.6019  0.0042  0.0552  0.0564  0.0462  0.04
Francois 1956   41  0.6318  0.0044  0.0554  0.0523  0.3232  0.13
Goldenweiser 1946   61  0.4935  0.0058  0.0560  0.0550  0.0657  0.05
Gornostaeva 1994   56  0.5555  0.0055  0.0647  0.0645  0.0653  0.06
Groot 1988   2  0.737  0.023  0.253  0.7127  0.298  0.45
Hatto 1993   27  0.6646  0.0027  0.1125  0.3742  0.0827  0.17
Hatto 1997   29  0.6633  0.0028  0.1126  0.3756  0.0629  0.15
Horszowski 1983   57  0.5450  0.0056  0.0559  0.0536  0.0746  0.06
Indjic 2001   31  0.6666  0.0031  0.1228  0.3145  0.0730  0.15
Katin 1996   16  0.6843  0.0023  0.1324  0.4537  0.0919  0.20
Kiepura 1999   59  0.5330  0.0057  0.0558  0.0553  0.0556  0.05
Korecka 1992   52  0.5944  0.0053  0.0645  0.0637  0.0939  0.07
Kushner 1990   32  0.6512  0.0118  0.1418  0.5321  0.387  0.45
Lilamand 2001   64  0.4534  0.0064  0.0650  0.0660  0.0559  0.05
Luisada 1990   38  0.6415  0.0039  0.0841  0.0843  0.0742  0.07
Luisada 2008   49  0.6051  0.0049  0.0644  0.0652  0.0560  0.05
Lushtak 2004   23  0.669  0.0124  0.1427  0.3641  0.0826  0.17
Malcuzynski 1951   44  0.6226  0.0026  0.1229  0.3052  0.0533  0.12
Malcuzynski 1961   30  0.6621  0.0015  0.1217  0.5340  0.0721  0.19
Magaloff 1977   39  0.6323  0.0047  0.0838  0.0843  0.0741  0.07
Magin 1975   11  0.695  0.0211  0.117  0.6330  0.2310  0.38
Meguri 1997   62  0.4960  0.0063  0.0464  0.0442  0.0563  0.04
Milkina 1970   18  0.6745  0.0012  0.1215  0.5458  0.0528  0.16
Mohovich 1999   20  0.6711  0.0110  0.0919  0.5243  0.0622  0.18
Nezu 2005   34  0.6552  0.0035  0.1035  0.1057  0.0543  0.07
Ohlsson 1999   3  0.7210  0.014  0.225  0.6721  0.402  0.52
Olejniczak 1990   36  0.6425  0.0038  0.0937  0.0963  0.0454  0.06
Osinska 1989   21  0.6757  0.0025  0.1223  0.4653  0.0624  0.17
Perlemuter 1992   58  0.5359  0.0061  0.0462  0.0437  0.0658  0.05
Poblocka 1999   14  0.6949  0.0021  0.1320  0.5139  0.0818  0.20
Rangell 2001   54  0.5738  0.0059  0.0561  0.0557  0.0465  0.04
Richter 1960   43  0.6240  0.0041  0.0648  0.0635  0.0840  0.07
Richter 1961   46  0.6156  0.0046  0.0649  0.0631  0.1934  0.11
Rosen 1989   26  0.6639  0.0036  0.1134  0.1137  0.0937  0.10
Rubinstein 1939   6  0.7117  0.005  0.206  0.6425  0.355  0.47
Rubinstein 1952   19  0.674  0.028  0.1122  0.4929  0.2513  0.35
Rubinstein 1966   9  0.7024  0.0014  0.0921  0.4946  0.0625  0.17
Rudanovskaya 2007   48  0.6037  0.0051  0.0551  0.0547  0.0561  0.05
Shebanova 2002   33  0.6563  0.0034  0.0840  0.0861  0.0551  0.06
Smith 1975   12  0.6913  0.0013  0.0913  0.5614  0.521  0.54
Sztompka 1959   24  0.6614  0.0029  0.1130  0.2916  0.5011  0.38
Tanyel 1992   35  0.6429  0.0043  0.0555  0.0538  0.0752  0.06
Tsujii 2005   8  0.7061  0.0020  0.1410  0.5944  0.0816  0.22
Uninsky 1959   10  0.708  0.019  0.108  0.6140  0.0620  0.19
Vardi 1988   47  0.6127  0.0048  0.0742  0.0749  0.0649  0.06
Wasowski 1980   15  0.686  0.0222  0.1616  0.5418  0.443  0.49
Zimerman 1975   25  0.6641  0.0030  0.1031  0.2741  0.0731  0.14
Average   1  0.791  0.711  0.701  0.9149  0.0715  0.25
Random 1   67  -0.0467  0.0066  0.0266  0.0238  0.0566  0.03
Random 2   66  -0.0364  0.0067  0.0167  0.0164  0.0267  0.01
Random 3   65  0.0165  0.0065  0.0365  0.0327  0.1844  0.07

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).