Ezaki 2006

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   9  0.855  0.022  0.142  0.655  0.543  0.59
Ax 1995   8  0.8525  0.0016  0.1012  0.5014  0.4117  0.45
Bacha 1998   40  0.7529  0.0034  0.0643  0.069  0.4733  0.17
Barbosa 1983   57  0.6640  0.0032  0.0731  0.1523  0.3731  0.24
BenOr 1989   58  0.6542  0.0048  0.0553  0.0532  0.1453  0.08
Biret 1990   31  0.7963  0.0039  0.0836  0.0820  0.3437  0.16
Brailowsky 1960   37  0.7633  0.0044  0.0642  0.0619  0.2247  0.11
Chiu 1999   54  0.7051  0.0058  0.0457  0.0434  0.0758  0.05
Clidat 1994   6  0.8615  0.019  0.196  0.5610  0.566  0.56
Cohen 1997   62  0.6252  0.0062  0.0647  0.0625  0.2346  0.12
Cortot 1951   64  0.4438  0.0063  0.0458  0.0433  0.1254  0.07
Csalog 1996   25  0.8126  0.0040  0.0835  0.0820  0.3136  0.16
Czerny 1989   34  0.7853  0.0036  0.0650  0.0628  0.2048  0.11
Ezaki 2006   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Falvay 1989   21  0.8231  0.0018  0.1017  0.4516  0.3920  0.42
Fiorentino 1962   5  0.8716  0.018  0.147  0.559  0.605  0.57
Fliere 1977   11  0.8541  0.0019  0.1119  0.4417  0.4019  0.42
Fou 1978   27  0.8146  0.0029  0.1124  0.3124  0.3527  0.33
Francois 1956   55  0.6928  0.0053  0.0648  0.0643  0.0756  0.06
Goldenweiser 1946   63  0.5558  0.0064  0.0651  0.0647  0.0557  0.05
Gornostaeva 1994   61  0.6330  0.0024  0.0827  0.301  0.6518  0.44
Groot 1988   32  0.7922  0.0042  0.0737  0.0713  0.2544  0.13
Hatto 1993   17  0.8460  0.0012  0.1010  0.5115  0.5010  0.50
Hatto 1997   13  0.8455  0.0015  0.1513  0.5016  0.4911  0.49
Horszowski 1983   42  0.7556  0.0031  0.0633  0.135  0.4830  0.25
Indjic 2001   14  0.8464  0.0014  0.1511  0.5016  0.4912  0.49
Katin 1996   19  0.8236  0.0038  0.0740  0.0727  0.2542  0.13
Kiepura 1999   59  0.656  0.0154  0.0464  0.0422  0.2750  0.10
Korecka 1992   50  0.7114  0.0159  0.0463  0.0413  0.4140  0.13
Kushner 1990   60  0.6365  0.0055  0.0461  0.0446  0.0464  0.04
Lilamand 2001   51  0.7148  0.0051  0.0556  0.0542  0.0562  0.05
Luisada 1990   48  0.7221  0.0043  0.0739  0.0720  0.2938  0.14
Luisada 2008   49  0.7257  0.0049  0.0462  0.0421  0.2849  0.11
Lushtak 2004   28  0.8019  0.0122  0.1022  0.3415  0.4422  0.39
Malcuzynski 1951   15  0.847  0.014  0.158  0.5313  0.528  0.52
Malcuzynski 1961   30  0.7912  0.0110  0.1515  0.4615  0.4416  0.45
Magaloff 1977   44  0.7362  0.0046  0.0738  0.0725  0.2543  0.13
Magin 1975   22  0.8235  0.0025  0.1021  0.3510  0.4821  0.41
Meguri 1997   56  0.683  0.047  0.1530  0.2733  0.0935  0.16
Milkina 1970   18  0.8327  0.0027  0.0923  0.3225  0.3528  0.33
Mohovich 1999   7  0.854  0.0311  0.169  0.5211  0.4713  0.49
Nezu 2005   24  0.8132  0.0013  0.1114  0.4913  0.4415  0.46
Ohlsson 1999   35  0.7859  0.0050  0.0552  0.0544  0.0661  0.05
Olejniczak 1990   36  0.7820  0.0141  0.0834  0.0817  0.3534  0.17
Osinska 1989   4  0.879  0.016  0.164  0.6412  0.504  0.57
Perlemuter 1992   53  0.7024  0.0061  0.0644  0.0630  0.1851  0.10
Poblocka 1999   3  0.8818  0.015  0.175  0.6111  0.612  0.61
Rangell 2001   10  0.8544  0.0020  0.1216  0.4611  0.5314  0.49
Richter 1960   43  0.7549  0.0028  0.0928  0.3014  0.4324  0.36
Richter 1961   38  0.7634  0.0023  0.1225  0.3111  0.4523  0.37
Rosen 1989   45  0.7339  0.0056  0.0460  0.0441  0.0663  0.05
Rubinstein 1939   26  0.8143  0.0033  0.0732  0.1327  0.2432  0.18
Rubinstein 1952   41  0.7513  0.0135  0.0649  0.0625  0.2945  0.13
Rubinstein 1966   23  0.8210  0.0130  0.1529  0.2918  0.4225  0.35
Rudanovskaya 2007   47  0.7317  0.0157  0.0554  0.0534  0.0855  0.06
Shebanova 2002   12  0.8454  0.0021  0.1520  0.4426  0.2229  0.31
Smith 1975   39  0.7650  0.0047  0.0459  0.0423  0.2352  0.10
Sztompka 1959   52  0.7023  0.0060  0.0555  0.0540  0.0560  0.05
Tanyel 1992   20  0.8211  0.0126  0.0926  0.3013  0.4126  0.35
Tsujii 2005   2  0.918  0.013  0.143  0.6511  0.477  0.55
Uninsky 1959   33  0.7847  0.0045  0.0645  0.0646  0.0559  0.05
Vardi 1988   29  0.7945  0.0037  0.0741  0.0723  0.2541  0.13
Wasowski 1980   46  0.7337  0.0052  0.0646  0.0617  0.3039  0.13
Zimerman 1975   16  0.842  0.0517  0.1018  0.456  0.579  0.51
Average   1  0.931  0.641  0.631  0.7712  0.581  0.67
Random 1   66  -0.1366  0.0066  0.0266  0.0263  0.0266  0.02
Random 2   65  -0.0567  0.0065  0.0365  0.0345  0.0465  0.03
Random 3   67  -0.1461  0.0067  0.0167  0.0145  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).