Lilamand 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   46  0.6233  0.0024  0.0828  0.1852  0.0533  0.09
Ax 1995   29  0.6763  0.0018  0.0831  0.1455  0.0534  0.08
Bacha 1998   57  0.5564  0.0061  0.0364  0.0358  0.0465  0.03
Barbosa 1983   60  0.4836  0.0044  0.0454  0.0453  0.0459  0.04
BenOr 1989   58  0.5557  0.0029  0.0622  0.2224  0.2412  0.23
Biret 1990   33  0.6639  0.0040  0.0540  0.0538  0.0651  0.05
Brailowsky 1960   53  0.5826  0.0155  0.0461  0.0445  0.0643  0.05
Chiu 1999   49  0.6046  0.0049  0.0549  0.0535  0.0738  0.06
Clidat 1994   34  0.6549  0.0051  0.0456  0.0462  0.0462  0.04
Cohen 1997   48  0.6032  0.0041  0.0636  0.069  0.5121  0.17
Cortot 1951   63  0.4353  0.0033  0.0533  0.0910  0.4715  0.21
Csalog 1996   10  0.7616  0.018  0.1410  0.4422  0.309  0.36
Czerny 1989   37  0.6454  0.0060  0.0463  0.0451  0.0557  0.04
Ezaki 2006   20  0.7144  0.0036  0.0542  0.0556  0.0540  0.05
Falvay 1989   11  0.765  0.046  0.1711  0.4154  0.0525  0.14
Fiorentino 1962   35  0.6551  0.0037  0.0635  0.0658  0.0550  0.05
Fliere 1977   50  0.6048  0.0057  0.0551  0.0559  0.0454  0.04
Fou 1978   54  0.5717  0.0152  0.0544  0.0559  0.0545  0.05
Francois 1956   39  0.6330  0.0025  0.0526  0.1933  0.1422  0.16
Goldenweiser 1946   14  0.7459  0.0021  0.0621  0.232  0.696  0.40
Gornostaeva 1994   64  0.3718  0.0162  0.0462  0.0464  0.0464  0.04
Groot 1988   17  0.7242  0.0019  0.0616  0.3335  0.0723  0.15
Hatto 1993   12  0.7541  0.0010  0.089  0.4449  0.0524  0.15
Hatto 1997   8  0.767  0.039  0.157  0.4532  0.1013  0.21
Horszowski 1983   38  0.6327  0.0159  0.0543  0.0547  0.0541  0.05
Indjic 2001   9  0.7621  0.0111  0.148  0.4432  0.1014  0.21
Katin 1996   40  0.6338  0.0054  0.0458  0.0458  0.0458  0.04
Kiepura 1999   62  0.4731  0.0056  0.0453  0.0433  0.1136  0.07
Korecka 1992   31  0.6656  0.0048  0.0452  0.0416  0.3927  0.12
Kushner 1990   52  0.5835  0.0022  0.0724  0.2221  0.2910  0.25
Lilamand 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Luisada 1990   23  0.6943  0.0030  0.0723  0.2221  0.2811  0.25
Luisada 2008   41  0.6345  0.0035  0.0455  0.0434  0.0647  0.05
Lushtak 2004   26  0.6819  0.0128  0.0718  0.2736  0.0726  0.14
Malcuzynski 1951   28  0.6723  0.0123  0.0620  0.2345  0.0530  0.11
Malcuzynski 1961   36  0.6422  0.0112  0.0913  0.3733  0.1116  0.20
Magaloff 1977   45  0.6215  0.0134  0.0545  0.0552  0.0548  0.05
Magin 1975   18  0.7214  0.0116  0.0630  0.1428  0.2319  0.18
Meguri 1997   21  0.719  0.0217  0.0715  0.345  0.398  0.36
Milkina 1970   25  0.6811  0.0227  0.0727  0.1947  0.0531  0.10
Mohovich 1999   13  0.7540  0.0013  0.0912  0.3852  0.0428  0.12
Nezu 2005   42  0.6337  0.0038  0.0634  0.0645  0.0739  0.06
Ohlsson 1999   4  0.823  0.133  0.264  0.6310  0.494  0.56
Olejniczak 1990   30  0.6758  0.0032  0.0532  0.1036  0.0735  0.08
Osinska 1989   22  0.7062  0.0039  0.0541  0.0552  0.0542  0.05
Perlemuter 1992   16  0.7324  0.0120  0.0617  0.285  0.517  0.38
Poblocka 1999   24  0.6865  0.0042  0.0539  0.0559  0.0455  0.04
Rangell 2001   19  0.7147  0.0031  0.1025  0.2039  0.0729  0.12
Richter 1960   59  0.5055  0.0064  0.0538  0.0553  0.0461  0.04
Richter 1961   61  0.4767  0.0063  0.0460  0.0451  0.0556  0.04
Rosen 1989   43  0.6228  0.0047  0.0537  0.0547  0.0549  0.05
Rubinstein 1939   47  0.618  0.0245  0.0548  0.0549  0.0644  0.05
Rubinstein 1952   51  0.5912  0.0246  0.0547  0.0552  0.0552  0.05
Rubinstein 1966   56  0.5625  0.0158  0.0546  0.0562  0.0460  0.04
Rudanovskaya 2007   7  0.7852  0.0015  0.0914  0.3615  0.475  0.41
Shebanova 2002   27  0.6829  0.0026  0.0629  0.1743  0.0632  0.10
Smith 1975   3  0.842  0.162  0.262  0.663  0.652  0.65
Sztompka 1959   2  0.844  0.054  0.383  0.661  0.691  0.67
Tanyel 1992   15  0.7413  0.0114  0.0919  0.2531  0.1518  0.19
Tsujii 2005   5  0.796  0.045  0.206  0.5636  0.0717  0.20
Uninsky 1959   1  0.851  0.281  0.281  0.708  0.563  0.63
Vardi 1988   32  0.6620  0.0143  0.0550  0.0548  0.0546  0.05
Wasowski 1980   55  0.5660  0.0050  0.0459  0.0454  0.0453  0.04
Zimerman 1975   44  0.6234  0.0053  0.0457  0.0460  0.0463  0.04
Average   6  0.7810  0.027  0.155  0.5757  0.0520  0.17
Random 1   66  -0.1066  0.0066  0.0266  0.0248  0.0466  0.03
Random 2   65  0.0061  0.0065  0.0365  0.0327  0.1837  0.07
Random 3   67  -0.1650  0.0067  0.0167  0.0155  0.0367  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).