Luisada 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   37  0.6315  0.0023  0.0819  0.3046  0.0530  0.12
Ax 1995   47  0.6031  0.0048  0.0555  0.0562  0.0464  0.04
Bacha 1998   21  0.6830  0.0011  0.1810  0.4712  0.454  0.46
Barbosa 1983   60  0.4412  0.0146  0.0549  0.0560  0.0459  0.04
BenOr 1989   42  0.623  0.024  0.2412  0.4611  0.465  0.46
Biret 1990   28  0.6621  0.0040  0.0542  0.0552  0.0551  0.05
Brailowsky 1960   36  0.6318  0.0029  0.0728  0.1621  0.1919  0.17
Chiu 1999   57  0.5460  0.0059  0.0464  0.0454  0.0455  0.04
Clidat 1994   44  0.6132  0.0042  0.0552  0.0563  0.0462  0.04
Cohen 1997   61  0.4355  0.0060  0.0462  0.0448  0.0563  0.04
Cortot 1951   62  0.4257  0.0041  0.0545  0.055  0.5423  0.16
Csalog 1996   41  0.6261  0.0050  0.0546  0.0557  0.0460  0.04
Czerny 1989   10  0.7411  0.0124  0.0724  0.2240  0.0631  0.11
Ezaki 2006   13  0.7256  0.0026  0.0920  0.2939  0.0728  0.14
Falvay 1989   3  0.8123  0.003  0.284  0.6217  0.373  0.48
Fiorentino 1962   31  0.6522  0.0037  0.0548  0.0544  0.0649  0.05
Fliere 1977   48  0.6063  0.0030  0.0632  0.1147  0.0535  0.07
Fou 1978   46  0.6117  0.0039  0.0547  0.0552  0.0545  0.05
Francois 1956   55  0.5645  0.0057  0.0637  0.0648  0.0642  0.06
Goldenweiser 1946   38  0.6354  0.0055  0.0556  0.0513  0.4424  0.15
Gornostaeva 1994   64  0.3551  0.0058  0.0557  0.0553  0.0465  0.04
Groot 1988   9  0.7414  0.0025  0.0827  0.2024  0.1521  0.17
Hatto 1993   4  0.818  0.017  0.145  0.5929  0.167  0.31
Hatto 1997   5  0.8134  0.008  0.156  0.5828  0.176  0.31
Horszowski 1983   30  0.6548  0.0036  0.0551  0.0521  0.2132  0.10
Indjic 2001   6  0.8158  0.009  0.157  0.5729  0.168  0.30
Katin 1996   39  0.6337  0.0054  0.0458  0.0453  0.0557  0.04
Kiepura 1999   63  0.3529  0.0064  0.0544  0.0562  0.0353  0.04
Korecka 1992   49  0.6036  0.0056  0.0641  0.0639  0.0637  0.06
Kushner 1990   58  0.4726  0.0034  0.0543  0.0545  0.0458  0.04
Lilamand 2001   17  0.6933  0.0017  0.0921  0.2823  0.2211  0.25
Luisada 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 2008   1  0.881  0.691  0.681  0.831  0.831  0.83
Lushtak 2004   2  0.825  0.012  0.232  0.6911  0.552  0.62
Malcuzynski 1951   20  0.689  0.0112  0.159  0.5133  0.1410  0.27
Malcuzynski 1961   50  0.5949  0.0015  0.1013  0.4355  0.0525  0.15
Magaloff 1977   51  0.5927  0.0044  0.0461  0.0447  0.0561  0.04
Magin 1975   33  0.6413  0.0153  0.0636  0.0660  0.0444  0.05
Meguri 1997   25  0.6746  0.0032  0.0631  0.1215  0.2914  0.19
Milkina 1970   35  0.6424  0.0052  0.0734  0.0761  0.0446  0.05
Mohovich 1999   12  0.7225  0.0028  0.0726  0.2051  0.0434  0.09
Nezu 2005   19  0.697  0.0113  0.1214  0.4044  0.0720  0.17
Ohlsson 1999   18  0.6928  0.0018  0.1118  0.3238  0.0726  0.15
Olejniczak 1990   26  0.6616  0.0043  0.0459  0.0463  0.0466  0.04
Osinska 1989   15  0.706  0.0114  0.1411  0.4642  0.0618  0.17
Perlemuter 1992   53  0.5740  0.0045  0.0460  0.0458  0.0454  0.04
Poblocka 1999   14  0.7119  0.0022  0.0716  0.3536  0.0722  0.16
Rangell 2001   11  0.7362  0.0016  0.1315  0.3740  0.0627  0.15
Richter 1960   43  0.6250  0.0021  0.0825  0.2130  0.1913  0.20
Richter 1961   34  0.6410  0.0119  0.0922  0.2429  0.1612  0.20
Rosen 1989   52  0.5842  0.0049  0.0553  0.0548  0.0548  0.05
Rubinstein 1939   54  0.5759  0.0061  0.0554  0.0550  0.0643  0.05
Rubinstein 1952   59  0.4552  0.0063  0.0550  0.0556  0.0552  0.05
Rubinstein 1966   56  0.5439  0.0062  0.0635  0.0641  0.0638  0.06
Rudanovskaya 2007   23  0.6864  0.0051  0.0638  0.0645  0.0640  0.06
Shebanova 2002   16  0.7043  0.0027  0.1017  0.3252  0.0529  0.13
Smith 1975   32  0.6538  0.0033  0.0433  0.0849  0.0536  0.06
Sztompka 1959   22  0.684  0.016  0.1223  0.2421  0.319  0.27
Tanyel 1992   45  0.6120  0.0035  0.0639  0.0647  0.0547  0.05
Tsujii 2005   8  0.7653  0.0010  0.158  0.5343  0.0616  0.18
Uninsky 1959   24  0.6735  0.0020  0.0829  0.1648  0.0533  0.09
Vardi 1988   29  0.6544  0.0047  0.0463  0.0464  0.0456  0.04
Wasowski 1980   40  0.6241  0.0031  0.0630  0.1222  0.2317  0.17
Zimerman 1975   27  0.6647  0.0038  0.0640  0.0648  0.0550  0.05
Average   7  0.782  0.125  0.183  0.6552  0.0515  0.18
Random 1   66  -0.0666  0.0066  0.0266  0.0223  0.1941  0.06
Random 2   65  -0.0665  0.0065  0.0265  0.0229  0.1639  0.06
Random 3   67  -0.1067  0.0067  0.0167  0.0134  0.0767  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).