Luisada 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   21  0.677  0.0116  0.1015  0.4135  0.0714  0.17
Ax 1995   45  0.6039  0.0047  0.0454  0.0453  0.0561  0.04
Bacha 1998   9  0.7621  0.005  0.166  0.589  0.473  0.52
Barbosa 1983   57  0.5226  0.0046  0.0536  0.0548  0.0543  0.05
BenOr 1989   10  0.7512  0.014  0.1812  0.516  0.484  0.49
Biret 1990   16  0.6932  0.0030  0.0632  0.1361  0.0435  0.07
Brailowsky 1960   36  0.6252  0.0044  0.0635  0.0649  0.0538  0.05
Chiu 1999   52  0.5654  0.0058  0.0547  0.0555  0.0452  0.04
Clidat 1994   48  0.5858  0.0048  0.0542  0.0545  0.0646  0.05
Cohen 1997   63  0.4544  0.0062  0.0458  0.0456  0.0460  0.04
Cortot 1951   47  0.5838  0.0019  0.0921  0.271  0.667  0.42
Csalog 1996   34  0.6333  0.0039  0.0455  0.0462  0.0365  0.03
Czerny 1989   24  0.6629  0.0018  0.0917  0.3238  0.0621  0.14
Ezaki 2006   14  0.7256  0.0022  0.0820  0.2861  0.0426  0.11
Falvay 1989   8  0.7723  0.003  0.234  0.6217  0.345  0.46
Fiorentino 1962   18  0.6848  0.0028  0.0725  0.1952  0.0528  0.10
Fliere 1977   28  0.6530  0.0023  0.1018  0.3154  0.0523  0.12
Fou 1978   15  0.699  0.0121  0.0922  0.2741  0.0720  0.14
Francois 1956   50  0.5757  0.0053  0.0462  0.0451  0.0564  0.04
Goldenweiser 1946   59  0.5028  0.0057  0.0634  0.0626  0.2822  0.13
Gornostaeva 1994   62  0.4546  0.0056  0.0451  0.0442  0.0562  0.04
Groot 1988   23  0.6760  0.0040  0.0453  0.0456  0.0463  0.04
Hatto 1993   5  0.7818  0.0011  0.177  0.5850  0.0515  0.17
Hatto 1997   3  0.7911  0.0110  0.118  0.5844  0.0512  0.17
Horszowski 1983   42  0.6163  0.0041  0.0450  0.0448  0.0550  0.04
Indjic 2001   4  0.7910  0.0112  0.269  0.5845  0.0513  0.17
Katin 1996   39  0.6220  0.0055  0.0457  0.0449  0.0554  0.04
Kiepura 1999   61  0.4740  0.0063  0.0541  0.0550  0.0537  0.05
Korecka 1992   40  0.6161  0.0052  0.0463  0.0435  0.0641  0.05
Kushner 1990   56  0.5435  0.0034  0.0545  0.0548  0.0455  0.04
Lilamand 2001   35  0.6342  0.0033  0.0633  0.0654  0.0445  0.05
Luisada 1990   1  0.881  0.731  0.721  0.831  0.831  0.83
Luisada 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   2  0.843  0.042  0.323  0.658  0.582  0.61
Malcuzynski 1951   11  0.7537  0.006  0.152  0.6625  0.238  0.39
Malcuzynski 1961   19  0.685  0.019  0.1010  0.5735  0.0710  0.20
Magaloff 1977   43  0.6047  0.0051  0.0460  0.0459  0.0456  0.04
Magin 1975   32  0.6453  0.0049  0.0548  0.0553  0.0540  0.05
Meguri 1997   22  0.6743  0.0031  0.0728  0.1622  0.2211  0.19
Milkina 1970   31  0.6419  0.0045  0.0540  0.0557  0.0542  0.05
Mohovich 1999   25  0.6631  0.0035  0.0539  0.0541  0.0547  0.05
Nezu 2005   7  0.772  0.088  0.1211  0.5427  0.219  0.34
Ohlsson 1999   26  0.6513  0.0027  0.0724  0.2153  0.0429  0.09
Olejniczak 1990   27  0.654  0.0237  0.0546  0.0545  0.0548  0.05
Osinska 1989   17  0.6822  0.0015  0.1016  0.4047  0.0519  0.14
Perlemuter 1992   60  0.4841  0.0038  0.0549  0.0562  0.0451  0.04
Poblocka 1999   13  0.7424  0.0014  0.0914  0.4442  0.0616  0.16
Rangell 2001   6  0.7814  0.007  0.165  0.5922  0.316  0.43
Richter 1960   55  0.5417  0.0024  0.0829  0.1555  0.0433  0.08
Richter 1961   46  0.5916  0.0017  0.1123  0.2746  0.0524  0.12
Rosen 1989   51  0.5650  0.0050  0.0456  0.0460  0.0459  0.04
Rubinstein 1939   54  0.5651  0.0060  0.0461  0.0444  0.0639  0.05
Rubinstein 1952   58  0.5049  0.0061  0.0452  0.0445  0.0649  0.05
Rubinstein 1966   53  0.5615  0.0059  0.0544  0.0554  0.0544  0.05
Rudanovskaya 2007   49  0.5762  0.0054  0.0459  0.0455  0.0457  0.04
Shebanova 2002   29  0.6536  0.0025  0.1219  0.2853  0.0525  0.12
Smith 1975   37  0.6227  0.0029  0.0730  0.1446  0.0531  0.08
Sztompka 1959   44  0.6045  0.0020  0.1026  0.1834  0.0627  0.10
Tanyel 1992   41  0.6125  0.0036  0.0543  0.0552  0.0458  0.04
Tsujii 2005   12  0.756  0.0113  0.1913  0.5153  0.0517  0.16
Uninsky 1959   38  0.6255  0.0026  0.0727  0.1660  0.0432  0.08
Vardi 1988   30  0.648  0.0142  0.0537  0.0557  0.0453  0.04
Wasowski 1980   33  0.6359  0.0043  0.0538  0.0530  0.1430  0.08
Zimerman 1975   20  0.6734  0.0032  0.0731  0.1457  0.0534  0.08
Random 1   65  -0.0865  0.0065  0.0265  0.0222  0.1836  0.06
Random 2   64  0.0364  0.0064  0.0464  0.044  0.5418  0.15
Random 3   66  -0.1466  0.0066  0.0166  0.0145  0.0566  0.02

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).