Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   34  0.6722  0.0011  0.1215  0.5031  0.1316  0.25
Ax 1995   30  0.6721  0.0031  0.1130  0.2632  0.1323  0.18
Bacha 1998   56  0.5958  0.0056  0.0556  0.0564  0.0463  0.04
Barbosa 1983   63  0.5357  0.0048  0.0555  0.0551  0.0659  0.05
BenOr 1989   49  0.6243  0.0040  0.0741  0.0734  0.0942  0.08
Biret 1990   23  0.7049  0.0023  0.0922  0.4036  0.1120  0.21
Brailowsky 1960   35  0.6650  0.0038  0.0937  0.0934  0.1134  0.10
Chiu 1999   46  0.6338  0.0054  0.0459  0.0443  0.0655  0.05
Clidat 1994   40  0.6552  0.0032  0.1032  0.1952  0.0537  0.10
Cohen 1997   61  0.5554  0.0063  0.0547  0.0517  0.4531  0.15
Cortot 1951   64  0.4833  0.0064  0.0644  0.0628  0.1143  0.08
Csalog 1996   5  0.7529  0.007  0.107  0.619  0.553  0.58
Czerny 1989   39  0.6530  0.0039  0.0642  0.0652  0.0556  0.05
Ezaki 2006   33  0.6751  0.0041  0.0643  0.0644  0.0750  0.06
Falvay 1989   18  0.717  0.019  0.116  0.6539  0.0817  0.23
Fiorentino 1962   9  0.7310  0.0119  0.1316  0.5037  0.1018  0.22
Fliere 1977   7  0.7314  0.008  0.138  0.5822  0.346  0.44
Fou 1978   44  0.6424  0.0036  0.1034  0.1048  0.0740  0.08
Francois 1956   48  0.6334  0.0042  0.0551  0.0529  0.1938  0.10
Goldenweiser 1946   57  0.5942  0.0049  0.0457  0.0416  0.3533  0.12
Gornostaeva 1994   62  0.5335  0.0060  0.0550  0.0557  0.0561  0.05
Groot 1988   8  0.7326  0.0012  0.1410  0.5525  0.319  0.41
Hatto 1993   27  0.6859  0.0035  0.0838  0.0836  0.1039  0.09
Hatto 1997   26  0.6832  0.0033  0.0833  0.1542  0.0736  0.10
Horszowski 1983   52  0.6046  0.0057  0.0554  0.0552  0.0554  0.05
Indjic 2001   24  0.6964  0.0034  0.0935  0.0962  0.0548  0.07
Katin 1996   19  0.7128  0.0029  0.1027  0.3240  0.0827  0.16
Kiepura 1999   60  0.559  0.0159  0.0548  0.0536  0.0851  0.06
Korecka 1992   59  0.5860  0.0062  0.0462  0.0447  0.0564  0.04
Kushner 1990   58  0.5853  0.0043  0.0552  0.0548  0.0558  0.05
Lilamand 2001   53  0.608  0.0153  0.0458  0.0429  0.2535  0.10
Luisada 1990   31  0.6744  0.0030  0.1028  0.3142  0.0730  0.15
Luisada 2008   50  0.6256  0.0050  0.0553  0.0555  0.0465  0.04
Lushtak 2004   16  0.7136  0.0022  0.1119  0.4335  0.1019  0.21
Malcuzynski 1951   36  0.6613  0.0013  0.1118  0.4623  0.2811  0.36
Malcuzynski 1961   37  0.6623  0.0014  0.0917  0.4753  0.0625  0.17
Magaloff 1977   38  0.6518  0.0047  0.0549  0.0536  0.1047  0.07
Magin 1975   43  0.6562  0.0046  0.0740  0.0739  0.0846  0.07
Meguri 1997   28  0.6740  0.0010  0.1325  0.364  0.585  0.46
Milkina 1970   13  0.7116  0.0027  0.0924  0.3739  0.0824  0.17
Mohovich 1999   3  0.763  0.044  0.324  0.6810  0.522  0.59
Nezu 2005   17  0.7141  0.006  0.129  0.5832  0.1714  0.31
Ohlsson 1999   20  0.7011  0.0124  0.0826  0.3651  0.0629  0.15
Olejniczak 1990   21  0.7055  0.0026  0.0923  0.3746  0.0632  0.15
Osinska 1989   4  0.754  0.032  0.263  0.7526  0.334  0.50
Perlemuter 1992   47  0.6347  0.0061  0.0461  0.0426  0.1445  0.07
Poblocka 1999   10  0.7231  0.0017  0.1512  0.5247  0.0721  0.19
Rangell 2001   25  0.696  0.0128  0.1031  0.2515  0.5510  0.37
Richter 1960   42  0.6545  0.0045  0.0645  0.0638  0.0753  0.06
Richter 1961   54  0.6061  0.0058  0.0463  0.0460  0.0562  0.04
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   22  0.7012  0.0115  0.1214  0.5031  0.2412  0.35
Rubinstein 1952   29  0.6748  0.0025  0.1029  0.3138  0.0828  0.16
Rubinstein 1966   11  0.7215  0.0018  0.1721  0.4140  0.0726  0.17
Rudanovskaya 2007   41  0.6539  0.0051  0.0460  0.0426  0.1741  0.08
Shebanova 2002   15  0.7120  0.0016  0.1211  0.5329  0.2013  0.33
Smith 1975   12  0.7217  0.0020  0.1020  0.4218  0.457  0.43
Sztompka 1959   45  0.6319  0.0052  0.0464  0.0447  0.0657  0.05
Tanyel 1992   6  0.755  0.025  0.215  0.659  0.631  0.64
Tsujii 2005   2  0.782  0.093  0.312  0.7828  0.238  0.42
Uninsky 1959   14  0.7125  0.0021  0.1213  0.5136  0.0722  0.19
Vardi 1988   55  0.6066  0.0055  0.0646  0.0638  0.0752  0.06
Wasowski 1980   51  0.6127  0.0044  0.0739  0.0740  0.0844  0.07
Zimerman 1975   32  0.6737  0.0037  0.0936  0.0950  0.0649  0.07
Average   1  0.811  0.701  0.691  0.8942  0.0815  0.27
Random 1   67  -0.0467  0.0066  0.0266  0.0233  0.1260  0.05
Random 2   66  -0.0263  0.0067  0.0167  0.0155  0.0467  0.02
Random 3   65  0.0065  0.0065  0.0365  0.0343  0.0466  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).