Nezu 2005

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   8  0.8241  0.009  0.1112  0.4518  0.3617  0.40
Ax 1995   23  0.7756  0.0029  0.1018  0.3518  0.3921  0.37
Bacha 1998   14  0.8040  0.0023  0.0825  0.264  0.5319  0.37
Barbosa 1983   22  0.7822  0.0025  0.0827  0.2510  0.4922  0.35
BenOr 1989   20  0.7820  0.0024  0.0830  0.205  0.5328  0.33
Biret 1990   18  0.8030  0.0028  0.0823  0.2910  0.5218  0.39
Brailowsky 1960   48  0.6663  0.0053  0.0650  0.0636  0.0853  0.07
Chiu 1999   38  0.6936  0.0050  0.0553  0.0522  0.3342  0.13
Clidat 1994   29  0.7511  0.0217  0.0722  0.3020  0.3626  0.33
Cohen 1997   62  0.4766  0.0063  0.0463  0.0463  0.0365  0.03
Cortot 1951   58  0.5562  0.0064  0.0552  0.0525  0.2149  0.10
Csalog 1996   47  0.6645  0.0047  0.0554  0.0540  0.0661  0.05
Czerny 1989   51  0.6432  0.0036  0.0838  0.0815  0.3039  0.15
Ezaki 2006   10  0.8117  0.0114  0.1013  0.4414  0.4913  0.46
Falvay 1989   19  0.798  0.024  0.135  0.585  0.546  0.56
Fiorentino 1962   17  0.8061  0.0026  0.0919  0.3321  0.3723  0.35
Fliere 1977   24  0.7754  0.0033  0.0933  0.1723  0.2734  0.21
Fou 1978   4  0.8527  0.0013  0.1310  0.536  0.549  0.53
Francois 1956   52  0.6416  0.0152  0.0648  0.0645  0.0757  0.06
Goldenweiser 1946   64  0.4055  0.0062  0.0462  0.0433  0.1550  0.08
Gornostaeva 1994   43  0.6752  0.0049  0.0649  0.0620  0.3941  0.15
Groot 1988   45  0.6759  0.0040  0.0742  0.0716  0.2043  0.12
Hatto 1993   16  0.8013  0.0112  0.189  0.5313  0.5410  0.53
Hatto 1997   15  0.8012  0.0111  0.117  0.5412  0.557  0.54
Horszowski 1983   59  0.5438  0.0051  0.0559  0.0517  0.2545  0.11
Indjic 2001   13  0.807  0.0210  0.098  0.5413  0.558  0.54
Katin 1996   34  0.7235  0.0042  0.0934  0.0924  0.3038  0.16
Kiepura 1999   41  0.6846  0.0055  0.0651  0.0627  0.2244  0.11
Korecka 1992   56  0.6057  0.0061  0.0555  0.0531  0.1251  0.08
Kushner 1990   39  0.6937  0.0045  0.0556  0.0523  0.2646  0.11
Lilamand 2001   55  0.6339  0.0056  0.0745  0.0734  0.0655  0.06
Luisada 1990   40  0.6926  0.0035  0.0744  0.0714  0.4037  0.17
Luisada 2008   25  0.773  0.0716  0.0828  0.2112  0.5424  0.34
Lushtak 2004   12  0.8133  0.0022  0.0720  0.3212  0.5315  0.41
Malcuzynski 1951   3  0.872  0.083  0.244  0.683  0.663  0.67
Malcuzynski 1961   5  0.8415  0.016  0.116  0.563  0.635  0.59
Magaloff 1977   31  0.7425  0.0038  0.0740  0.0714  0.4636  0.18
Magin 1975   26  0.769  0.0219  0.0631  0.2012  0.4729  0.31
Meguri 1997   50  0.6549  0.0034  0.0743  0.0726  0.1548  0.10
Milkina 1970   33  0.7319  0.0032  0.0929  0.2127  0.3332  0.26
Mohovich 1999   42  0.6850  0.0030  0.1221  0.3120  0.3527  0.33
Nezu 2005   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   44  0.6734  0.0046  0.0461  0.0440  0.0660  0.05
Olejniczak 1990   21  0.784  0.045  0.1217  0.367  0.5014  0.42
Osinska 1989   6  0.845  0.047  0.143  0.706  0.534  0.61
Perlemuter 1992   63  0.4560  0.0060  0.0464  0.0442  0.0562  0.04
Poblocka 1999   2  0.876  0.032  0.252  0.703  0.692  0.69
Rangell 2001   9  0.8251  0.0021  0.0815  0.4313  0.5212  0.47
Richter 1960   54  0.6358  0.0037  0.0937  0.0918  0.3535  0.18
Richter 1961   49  0.6628  0.0031  0.0832  0.1915  0.4031  0.28
Rosen 1989   53  0.6431  0.0054  0.0647  0.0628  0.2247  0.11
Rubinstein 1939   37  0.7043  0.0043  0.0839  0.0847  0.0654  0.07
Rubinstein 1952   36  0.7047  0.0048  0.0646  0.0637  0.0756  0.06
Rubinstein 1966   32  0.7353  0.0041  0.0741  0.0727  0.3240  0.15
Rudanovskaya 2007   61  0.5444  0.0057  0.0560  0.0557  0.0463  0.04
Shebanova 2002   35  0.7110  0.0215  0.0916  0.3720  0.3125  0.34
Smith 1975   57  0.5823  0.0058  0.0557  0.0542  0.0558  0.05
Sztompka 1959   60  0.5448  0.0059  0.0558  0.0534  0.0659  0.05
Tanyel 1992   30  0.7518  0.0120  0.1026  0.2517  0.3730  0.30
Tsujii 2005   11  0.8142  0.008  0.1011  0.5122  0.3216  0.40
Uninsky 1959   46  0.6629  0.0044  0.0935  0.0934  0.0852  0.08
Vardi 1988   27  0.7614  0.0127  0.0824  0.2810  0.4820  0.37
Wasowski 1980   28  0.7621  0.0039  0.0936  0.097  0.5933  0.23
Zimerman 1975   7  0.8224  0.0018  0.0714  0.445  0.5711  0.50
Average   1  0.881  0.521  0.511  0.849  0.611  0.72
Random 1   66  -0.1165  0.0066  0.0266  0.0258  0.0366  0.02
Random 2   65  -0.0567  0.0065  0.0265  0.0243  0.0464  0.03
Random 3   67  -0.2164  0.0067  0.0167  0.0150  0.0467  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).