Tsujii 2005

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.313  0.124  0.245  0.563  0.705  0.63
Ax 1995   49  0.5413  0.018  0.248  0.532  0.737  0.62
Bacha 1998   56  0.5031  0.0058  0.0363  0.0331  0.1358  0.06
Barbosa 1983   62  0.4037  0.0034  0.0741  0.0730  0.1852  0.11
BenOr 1989   23  0.6428  0.0032  0.0632  0.1120  0.4232  0.21
Biret 1990   18  0.6535  0.0016  0.1314  0.427  0.6211  0.51
Brailowsky 1960   59  0.4747  0.0059  0.0460  0.0432  0.1856  0.08
Chiu 1999   45  0.5636  0.0049  0.0549  0.0545  0.0662  0.05
Clidat 1994   48  0.5438  0.0035  0.0645  0.0614  0.4736  0.17
Cohen 1997   61  0.4346  0.0053  0.0461  0.0411  0.5840  0.15
Cortot 1951   20  0.6527  0.0043  0.0736  0.077  0.4735  0.18
Csalog 1996   8  0.689  0.0111  0.107  0.5322  0.4415  0.48
Czerny 1989   41  0.5858  0.0033  0.0738  0.0723  0.3139  0.15
Ezaki 2006   25  0.6326  0.009  0.1113  0.435  0.5712  0.50
Falvay 1989   14  0.6712  0.0117  0.1312  0.4435  0.1031  0.21
Fiorentino 1962   28  0.6248  0.0028  0.0630  0.1516  0.4429  0.26
Fliere 1977   37  0.5954  0.0045  0.0643  0.0619  0.3046  0.13
Fou 1978   30  0.6117  0.0138  0.0735  0.0720  0.3043  0.14
Francois 1956   44  0.5760  0.0060  0.0554  0.0520  0.4841  0.15
Goldenweiser 1946   34  0.6034  0.0048  0.0553  0.0535  0.0757  0.06
Gornostaeva 1994   60  0.4541  0.0061  0.0458  0.0428  0.2554  0.10
Groot 1988   33  0.6059  0.0037  0.0740  0.0727  0.2049  0.12
Hatto 1993   13  0.6744  0.0026  0.0721  0.2913  0.4921  0.38
Hatto 1997   12  0.6723  0.0027  0.0822  0.2711  0.5123  0.37
Horszowski 1983   57  0.5066  0.0055  0.0551  0.0537  0.0661  0.05
Indjic 2001   7  0.6961  0.0029  0.0728  0.1612  0.4727  0.27
Katin 1996   3  0.7018  0.0119  0.0820  0.3218  0.4222  0.37
Kiepura 1999   54  0.5362  0.0050  0.0557  0.0524  0.2747  0.12
Korecka 1992   40  0.5850  0.0056  0.0459  0.0418  0.4944  0.14
Kushner 1990   51  0.5351  0.0054  0.0555  0.0534  0.0860  0.06
Lilamand 2001   43  0.5763  0.0046  0.0644  0.0626  0.3545  0.14
Luisada 1990   10  0.674  0.103  0.243  0.691  0.733  0.71
Luisada 2008   55  0.5264  0.0039  0.0737  0.0710  0.4434  0.18
Lushtak 2004   36  0.5956  0.0031  0.0631  0.1322  0.2833  0.19
Malcuzynski 1951   46  0.5629  0.0052  0.0552  0.058  0.5438  0.16
Malcuzynski 1961   38  0.5819  0.0047  0.0646  0.0649  0.0659  0.06
Magaloff 1977   17  0.6520  0.0018  0.0917  0.372  0.6814  0.50
Magin 1975   19  0.655  0.065  0.164  0.592  0.648  0.61
Meguri 1997   11  0.6752  0.0023  0.0724  0.243  0.6919  0.41
Milkina 1970   22  0.6442  0.0044  0.0833  0.0829  0.1253  0.10
Mohovich 1999   31  0.617  0.0242  0.0739  0.0726  0.2248  0.12
Nezu 2005   1  0.751  0.301  0.301  0.721  0.841  0.78
Ohlsson 1999   24  0.6416  0.0113  0.1311  0.473  0.699  0.57
Olejniczak 1990   42  0.5857  0.0057  0.0556  0.0541  0.0664  0.05
Osinska 1989   5  0.7032  0.0025  0.0823  0.2416  0.4724  0.34
Perlemuter 1992   47  0.5643  0.0062  0.0550  0.0520  0.4142  0.14
Poblocka 1999   16  0.6530  0.0030  0.0829  0.1620  0.4228  0.26
Rangell 2001   2  0.712  0.202  0.262  0.703  0.782  0.74
Richter 1960   6  0.696  0.0310  0.1110  0.496  0.6710  0.57
Richter 1961   50  0.5353  0.0051  0.0648  0.0632  0.1951  0.11
Rosen 1989   9  0.6711  0.0124  0.0725  0.229  0.6820  0.39
Rubinstein 1939   21  0.6424  0.0012  0.1016  0.383  0.6513  0.50
Rubinstein 1952   53  0.5340  0.0041  0.0742  0.0731  0.1950  0.12
Rubinstein 1966   26  0.6339  0.0014  0.1315  0.4112  0.4817  0.44
Rudanovskaya 2007   4  0.7022  0.0022  0.0827  0.1813  0.4226  0.27
Shebanova 2002   27  0.638  0.0215  0.1318  0.3514  0.5218  0.43
Smith 1975   32  0.6010  0.0121  0.0726  0.2018  0.4225  0.29
Sztompka 1959   58  0.4765  0.0063  0.0362  0.0344  0.0665  0.04
Tanyel 1992   29  0.6215  0.016  0.166  0.553  0.804  0.66
Tsujii 2005   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1959   15  0.6621  0.0020  0.0719  0.348  0.5716  0.44
Vardi 1988   35  0.6014  0.017  0.199  0.532  0.726  0.62
Wasowski 1980   39  0.5825  0.0040  0.0734  0.073  0.6930  0.22
Zimerman 1975   52  0.5333  0.0036  0.0647  0.0616  0.4937  0.17
Random 1   65  0.0249  0.0065  0.0265  0.0221  0.1463  0.05
Random 2   64  0.0755  0.0064  0.0364  0.0323  0.2555  0.09
Random 3   66  -0.0445  0.0066  0.0166  0.0156  0.0366  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).