Hatto 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   37  0.7313  0.0020  0.1121  0.3718  0.3523  0.36
Ax 1995   50  0.6836  0.0047  0.0554  0.0525  0.1945  0.10
Bacha 1998   24  0.7744  0.0013  0.1113  0.538  0.5214  0.52
Barbosa 1983   49  0.6928  0.009  0.1117  0.484  0.629  0.55
BenOr 1989   15  0.7850  0.0015  0.0925  0.3316  0.4822  0.40
Biret 1990   20  0.785  0.0031  0.1228  0.2533  0.0839  0.14
Brailowsky 1960   52  0.6718  0.0052  0.0643  0.0638  0.0751  0.06
Chiu 1999   27  0.7637  0.0028  0.0830  0.245  0.4226  0.32
Clidat 1994   44  0.7062  0.0033  0.1133  0.1119  0.4330  0.22
Cohen 1997   63  0.4831  0.0063  0.0458  0.0446  0.0564  0.04
Cortot 1951   56  0.6345  0.0056  0.0644  0.0637  0.0560  0.05
Csalog 1996   28  0.766  0.0036  0.0836  0.0830  0.1543  0.11
Czerny 1989   33  0.7423  0.0027  0.0926  0.304  0.5721  0.41
Ezaki 2006   40  0.7251  0.0049  0.0557  0.0521  0.2542  0.11
Falvay 1989   3  0.868  0.003  0.293  0.703  0.574  0.63
Fiorentino 1962   30  0.7538  0.0039  0.0645  0.0626  0.2540  0.12
Fliere 1977   10  0.8063  0.007  0.1114  0.535  0.617  0.57
Fou 1978   23  0.7814  0.0010  0.1111  0.553  0.588  0.56
Francois 1956   60  0.5929  0.0062  0.0556  0.0549  0.0465  0.04
Goldenweiser 1946   53  0.6439  0.0042  0.0551  0.0528  0.1449  0.08
Gornostaeva 1994   39  0.7240  0.0046  0.0934  0.0920  0.3932  0.19
Groot 1988   4  0.8215  0.005  0.146  0.638  0.4612  0.54
Hatto 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   2  0.982  0.042  0.952  0.992  0.991  0.99
Horszowski 1983   43  0.7052  0.0029  0.1031  0.2319  0.2928  0.26
Indjic 2001   1  0.991  0.961  0.941  0.991  0.992  0.99
Katin 1996   13  0.7953  0.0018  0.1216  0.5113  0.5016  0.50
Kiepura 1999   61  0.5721  0.0055  0.0459  0.0427  0.1648  0.08
Korecka 1992   19  0.7854  0.0024  0.0923  0.343  0.5419  0.43
Kushner 1990   57  0.6332  0.0053  0.0935  0.0942  0.0650  0.07
Lilamand 2001   62  0.569  0.0057  0.0462  0.0442  0.0656  0.05
Luisada 1990   12  0.7916  0.006  0.154  0.6413  0.4710  0.55
Luisada 2008   21  0.7855  0.0026  0.1024  0.3315  0.3524  0.34
Lushtak 2004   35  0.7424  0.0045  0.0742  0.0759  0.0457  0.05
Malcuzynski 1951   59  0.6256  0.0043  0.0740  0.0722  0.2141  0.12
Malcuzynski 1961   26  0.7719  0.0011  0.118  0.5911  0.5011  0.54
Magaloff 1977   29  0.753  0.0037  0.0837  0.0820  0.3233  0.16
Magin 1975   8  0.8117  0.008  0.115  0.632  0.653  0.64
Meguri 1997   42  0.7133  0.0054  0.0550  0.0532  0.1546  0.09
Milkina 1970   41  0.7157  0.0040  0.0741  0.0736  0.0652  0.06
Mohovich 1999   45  0.6912  0.0050  0.0549  0.0550  0.0558  0.05
Nezu 2005   14  0.7830  0.0030  0.0927  0.2724  0.2927  0.28
Ohlsson 1999   11  0.8064  0.0017  0.1210  0.5617  0.4017  0.47
Olejniczak 1990   25  0.7746  0.0035  0.0839  0.0822  0.3036  0.15
Osinska 1989   17  0.7847  0.0023  0.0929  0.2534  0.0934  0.15
Perlemuter 1992   55  0.6441  0.0059  0.0461  0.0443  0.0561  0.04
Poblocka 1999   5  0.8110  0.0014  0.117  0.6110  0.4513  0.52
Rangell 2001   54  0.6448  0.0060  0.0552  0.0539  0.0559  0.05
Richter 1960   38  0.7222  0.0044  0.0555  0.0520  0.2644  0.11
Richter 1961   47  0.6965  0.0051  0.0647  0.0624  0.3537  0.14
Rosen 1989   48  0.6934  0.0041  0.0646  0.0637  0.0754  0.06
Rubinstein 1939   31  0.7535  0.0019  0.1218  0.4414  0.4020  0.42
Rubinstein 1952   32  0.7458  0.0022  0.1119  0.4420  0.2725  0.34
Rubinstein 1966   22  0.7859  0.0025  0.1022  0.3531  0.1331  0.21
Rudanovskaya 2007   51  0.6842  0.0061  0.0460  0.0452  0.0462  0.04
Shebanova 2002   9  0.8025  0.004  0.199  0.599  0.576  0.58
Smith 1975   36  0.7360  0.0038  0.0648  0.0622  0.3835  0.15
Sztompka 1959   16  0.7826  0.0021  0.0920  0.423  0.6315  0.51
Tanyel 1992   58  0.6220  0.0058  0.0363  0.0336  0.0663  0.04
Tsujii 2005   18  0.7827  0.0034  0.0838  0.0842  0.0553  0.06
Uninsky 1959   7  0.8149  0.0016  0.0812  0.5513  0.3818  0.46
Vardi 1988   46  0.6911  0.0048  0.0553  0.0517  0.3938  0.14
Wasowski 1980   34  0.744  0.0032  0.0932  0.1726  0.3029  0.23
Zimerman 1975   6  0.817  0.0012  0.1115  0.532  0.735  0.62
Random 1   66  0.0043  0.0066  0.0166  0.0110  0.3255  0.06
Random 2   64  0.0666  0.0065  0.0265  0.027  0.4047  0.09
Random 3   65  0.0261  0.0064  0.0264  0.0245  0.0466  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).