Richter 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   10  0.779  0.003  0.193  0.6013  0.404  0.49
Ax 1995   4  0.807  0.0111  0.149  0.4814  0.417  0.44
Bacha 1998   34  0.6453  0.0036  0.0639  0.0620  0.4029  0.15
Barbosa 1983   56  0.4735  0.0051  0.0644  0.0663  0.0450  0.05
BenOr 1989   62  0.3060  0.0056  0.0459  0.0456  0.0562  0.04
Biret 1990   41  0.6218  0.0044  0.0454  0.0445  0.0563  0.04
Brailowsky 1960   27  0.6845  0.0034  0.0640  0.0624  0.1537  0.09
Chiu 1999   43  0.6120  0.0047  0.0453  0.0440  0.0554  0.04
Clidat 1994   6  0.7949  0.009  0.107  0.5014  0.465  0.48
Cohen 1997   58  0.4354  0.0057  0.0455  0.0443  0.0652  0.05
Cortot 1951   63  0.2032  0.0062  0.0462  0.0458  0.0464  0.04
Csalog 1996   30  0.6755  0.0037  0.0736  0.0736  0.0645  0.06
Czerny 1989   7  0.7840  0.008  0.1120  0.3112  0.3117  0.31
Ezaki 2006   12  0.7611  0.0016  0.1410  0.4524  0.3111  0.37
Falvay 1989   18  0.7415  0.006  0.1415  0.3921  0.2916  0.34
Fiorentino 1962   19  0.7446  0.0020  0.1216  0.3837  0.0927  0.18
Fliere 1977   3  0.823  0.012  0.342  0.613  0.622  0.61
Fou 1978   26  0.6936  0.0025  0.0824  0.2328  0.2023  0.21
Francois 1956   40  0.6250  0.0042  0.0735  0.0728  0.2232  0.12
Goldenweiser 1946   59  0.4043  0.0063  0.0549  0.0553  0.0453  0.04
Gornostaeva 1994   53  0.4941  0.0045  0.0461  0.0443  0.0561  0.04
Groot 1988   35  0.6429  0.0043  0.0734  0.0745  0.0547  0.06
Hatto 1993   17  0.7427  0.0027  0.0727  0.1646  0.0542  0.09
Hatto 1997   21  0.7431  0.0028  0.0729  0.1548  0.0538  0.09
Horszowski 1983   48  0.5938  0.0052  0.0547  0.0535  0.0844  0.06
Indjic 2001   20  0.7410  0.0026  0.0726  0.1756  0.0541  0.09
Katin 1996   23  0.7322  0.0030  0.0825  0.2032  0.1626  0.18
Kiepura 1999   60  0.3924  0.0054  0.0738  0.0741  0.0543  0.06
Korecka 1992   57  0.4539  0.0060  0.0457  0.0454  0.0556  0.04
Kushner 1990   61  0.3833  0.0053  0.0552  0.0546  0.0459  0.04
Lilamand 2001   55  0.4764  0.0058  0.0550  0.0559  0.0460  0.04
Luisada 1990   36  0.6419  0.0013  0.0928  0.1621  0.2425  0.20
Luisada 2008   49  0.5934  0.0040  0.0546  0.0523  0.2731  0.12
Lushtak 2004   29  0.6730  0.0032  0.0730  0.1441  0.0639  0.09
Malcuzynski 1951   25  0.7259  0.0012  0.0911  0.4520  0.3112  0.37
Malcuzynski 1961   39  0.6213  0.0019  0.1218  0.3423  0.2120  0.27
Magaloff 1977   44  0.6125  0.0049  0.0551  0.0550  0.0551  0.05
Magin 1975   47  0.6063  0.0046  0.0460  0.0455  0.0555  0.04
Meguri 1997   54  0.4828  0.0041  0.0641  0.0661  0.0449  0.05
Milkina 1970   24  0.7351  0.0024  0.1119  0.3431  0.1821  0.25
Mohovich 1999   11  0.7626  0.0010  0.108  0.4818  0.378  0.42
Nezu 2005   32  0.6647  0.0014  0.1014  0.4031  0.1919  0.28
Ohlsson 1999   45  0.6161  0.0048  0.0458  0.0455  0.0458  0.04
Olejniczak 1990   42  0.624  0.0135  0.0733  0.0724  0.2430  0.13
Osinska 1989   16  0.7452  0.0015  0.0912  0.4321  0.379  0.40
Perlemuter 1992   51  0.5014  0.0059  0.0363  0.0363  0.0365  0.03
Poblocka 1999   5  0.795  0.014  0.186  0.5513  0.543  0.54
Rangell 2001   15  0.7421  0.0022  0.1021  0.3117  0.4213  0.36
Richter 1960   1  0.951  0.891  0.881  0.921  0.911  0.91
Richter 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   22  0.7342  0.0031  0.0631  0.1211  0.3724  0.21
Rubinstein 1939   9  0.776  0.0117  0.1113  0.4121  0.3710  0.39
Rubinstein 1952   31  0.6765  0.0029  0.0632  0.1133  0.0936  0.10
Rubinstein 1966   13  0.7537  0.0021  0.1117  0.3623  0.3514  0.35
Rudanovskaya 2007   33  0.6562  0.0039  0.0643  0.0627  0.1933  0.11
Shebanova 2002   2  0.8317  0.005  0.174  0.5813  0.346  0.44
Smith 1975   50  0.5258  0.0055  0.0456  0.0463  0.0366  0.03
Sztompka 1959   52  0.4948  0.0061  0.0548  0.0543  0.0548  0.05
Tanyel 1992   37  0.6344  0.0018  0.1023  0.2529  0.1922  0.22
Tsujii 2005   8  0.7823  0.007  0.115  0.5728  0.2215  0.35
Uninsky 1959   38  0.6316  0.0050  0.0545  0.0557  0.0457  0.04
Vardi 1988   14  0.758  0.0023  0.1222  0.2618  0.3518  0.30
Wasowski 1980   46  0.6012  0.0038  0.0737  0.0714  0.3228  0.15
Zimerman 1975   28  0.672  0.0133  0.0642  0.0627  0.1934  0.11
Random 1   65  -0.0156  0.0065  0.0265  0.029  0.4140  0.09
Random 2   64  0.0066  0.0064  0.0264  0.025  0.5335  0.10
Random 3   66  -0.1157  0.0066  0.0166  0.0115  0.3346  0.06

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).