Lilamand 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2937  0.0019  0.1821  0.5016  0.4816  0.49
Ax 1995   53  0.4019  0.0046  0.0742  0.0733  0.1142  0.09
Bacha 1998   62  0.3257  0.0066  0.0266  0.0261  0.0366  0.02
Barbosa 1983   63  0.3044  0.0044  0.0647  0.0642  0.0848  0.07
BenOr 1989   15  0.5936  0.0010  0.149  0.6714  0.5311  0.60
Biret 1990   25  0.5538  0.0022  0.1324  0.4624  0.3520  0.40
Brailowsky 1960   60  0.3361  0.0052  0.0458  0.0443  0.0757  0.05
Chiu 1999   44  0.4616  0.0041  0.0649  0.0639  0.0750  0.06
Clidat 1994   50  0.4154  0.0043  0.0644  0.0633  0.1340  0.09
Cohen 1997   57  0.3643  0.0059  0.0552  0.0530  0.2834  0.12
Cortot 1951   41  0.4862  0.0056  0.0360  0.0340  0.0563  0.04
Csalog 1996   2  0.673  0.052  0.322  0.795  0.574  0.67
Czerny 1989   11  0.604  0.055  0.243  0.755  0.652  0.70
Ezaki 2006   39  0.4823  0.0026  0.1326  0.3825  0.3323  0.35
Falvay 1989   9  0.6124  0.0013  0.1910  0.6721  0.3218  0.46
Fiorentino 1962   29  0.5340  0.0033  0.1033  0.1936  0.0933  0.13
Fliere 1977   38  0.4921  0.0048  0.0837  0.0834  0.0943  0.08
Fou 1978   45  0.4611  0.0045  0.0836  0.0847  0.0647  0.07
Francois 1956   58  0.3530  0.0067  0.0167  0.0152  0.0467  0.02
Goldenweiser 1946   36  0.4949  0.0038  0.0838  0.0828  0.1636  0.11
Gornostaeva 1994   61  0.3251  0.0060  0.0457  0.0436  0.0855  0.06
Groot 1988   13  0.6015  0.008  0.1115  0.6011  0.5113  0.55
Hatto 1993   22  0.5633  0.0025  0.1022  0.4728  0.2324  0.33
Hatto 1997   10  0.607  0.0217  0.1713  0.6316  0.4615  0.54
Horszowski 1983   18  0.5725  0.0012  0.1414  0.627  0.629  0.62
Indjic 2001   17  0.5845  0.0024  0.1219  0.5326  0.2922  0.39
Katin 1996   8  0.6114  0.009  0.1311  0.6614  0.5212  0.59
Kiepura 1999   46  0.4334  0.0057  0.0359  0.0337  0.0856  0.05
Korecka 1992   48  0.4150  0.0064  0.0262  0.0257  0.0464  0.03
Kushner 1990   59  0.3552  0.0050  0.0550  0.0547  0.0560  0.05
Lilamand 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1990   14  0.5922  0.007  0.156  0.729  0.607  0.66
Luisada 2008   55  0.3747  0.0054  0.0456  0.0438  0.0661  0.05
Lushtak 2004   19  0.5712  0.0020  0.1418  0.5520  0.3419  0.43
Malcuzynski 1951   47  0.4341  0.0051  0.0455  0.0427  0.2639  0.10
Malcuzynski 1961   4  0.6313  0.004  0.244  0.733  0.596  0.66
Magaloff 1977   40  0.4828  0.0037  0.0646  0.0630  0.1637  0.10
Magin 1975   31  0.5267  0.0023  0.0925  0.4533  0.2026  0.30
Meguri 1997   20  0.5729  0.0028  0.1030  0.2622  0.4025  0.32
Milkina 1970   30  0.5342  0.0035  0.0643  0.0642  0.0752  0.06
Mohovich 1999   33  0.5146  0.0030  0.1031  0.2429  0.1830  0.21
Nezu 2005   26  0.5435  0.0040  0.0739  0.0741  0.0654  0.06
Ohlsson 1999   34  0.5126  0.0029  0.1028  0.3024  0.2827  0.29
Olejniczak 1990   28  0.5332  0.0039  0.0645  0.0623  0.2635  0.12
Osinska 1989   5  0.629  0.0114  0.128  0.6712  0.5410  0.60
Perlemuter 1992   51  0.4155  0.0063  0.0261  0.0263  0.0265  0.02
Poblocka 1999   35  0.5053  0.0042  0.0648  0.0651  0.0558  0.05
Rangell 2001   12  0.6031  0.0016  0.1412  0.6410  0.705  0.67
Richter 1960   3  0.6418  0.006  0.215  0.736  0.683  0.70
Richter 1961   32  0.5120  0.0031  0.1029  0.2727  0.2928  0.28
Rosen 1989   6  0.628  0.0215  0.1216  0.609  0.688  0.64
Rubinstein 1939   49  0.4163  0.0047  0.0740  0.0750  0.0551  0.06
Rubinstein 1952   43  0.4717  0.0032  0.1132  0.2031  0.2131  0.20
Rubinstein 1966   23  0.555  0.0311  0.1120  0.5226  0.2921  0.39
Rudanovskaya 2007   24  0.5510  0.0134  0.0835  0.0832  0.1238  0.10
Shebanova 2002   37  0.4959  0.0036  0.0741  0.0742  0.0653  0.06
Smith 1975   42  0.4727  0.0049  0.0934  0.0935  0.0844  0.08
Sztompka 1959   54  0.3739  0.0053  0.0453  0.0436  0.0759  0.05
Tanyel 1992   7  0.622  0.203  0.247  0.674  0.791  0.73
Tsujii 2005   21  0.5766  0.0027  0.1027  0.3545  0.0632  0.14
Uninsky 1959   16  0.5848  0.0018  0.1717  0.5711  0.5214  0.54
Vardi 1988   56  0.3664  0.0058  0.0454  0.0453  0.0562  0.04
Wasowski 1980   52  0.4060  0.0055  0.0551  0.0535  0.0946  0.07
Zimerman 1975   27  0.546  0.0221  0.1723  0.4614  0.5317  0.49
Average   1  0.711  0.541  0.541  0.8440  0.0829  0.26
Random 1   66  0.0458  0.0065  0.0265  0.0217  0.2249  0.07
Random 2   65  0.0665  0.0062  0.0264  0.0222  0.3045  0.08
Random 3   67  0.0256  0.0061  0.0263  0.029  0.4541  0.09

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).