Richter 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   32  0.6539  0.0028  0.0730  0.1963  0.0432  0.09
Ax 1995   34  0.6430  0.0020  0.0824  0.3636  0.0620  0.15
Bacha 1998   15  0.714  0.032  0.1610  0.5017  0.376  0.43
Barbosa 1983   59  0.5333  0.0045  0.0548  0.0558  0.0546  0.05
BenOr 1989   47  0.5947  0.0054  0.0361  0.0352  0.0558  0.04
Biret 1990   3  0.7711  0.017  0.123  0.7032  0.1611  0.33
Brailowsky 1960   26  0.6715  0.0124  0.1223  0.3825  0.2213  0.29
Chiu 1999   35  0.6223  0.0050  0.0453  0.0460  0.0449  0.04
Clidat 1994   24  0.6813  0.0115  0.109  0.5128  0.357  0.42
Cohen 1997   42  0.6050  0.0039  0.0837  0.0820  0.3218  0.16
Cortot 1951   49  0.5836  0.0048  0.0935  0.0958  0.0440  0.06
Csalog 1996   41  0.6110  0.0135  0.0643  0.0664  0.0353  0.04
Czerny 1989   40  0.6124  0.0037  0.0838  0.0851  0.0535  0.06
Ezaki 2006   45  0.5966  0.0053  0.0460  0.0460  0.0361  0.03
Falvay 1989   5  0.7525  0.0010  0.2313  0.4960  0.0422  0.14
Fiorentino 1962   8  0.742  0.094  0.1214  0.4928  0.2112  0.32
Fliere 1977   7  0.7512  0.0112  0.176  0.5723  0.258  0.38
Fou 1978   46  0.5938  0.0038  0.0742  0.0764  0.0343  0.05
Francois 1956   36  0.6242  0.0032  0.0633  0.1242  0.0634  0.08
Goldenweiser 1946   62  0.4141  0.0063  0.0552  0.0556  0.0448  0.04
Gornostaeva 1994   38  0.6143  0.0044  0.0934  0.0954  0.0439  0.06
Groot 1988   12  0.729  0.0126  0.1026  0.3449  0.0627  0.14
Hatto 1993   17  0.6931  0.0025  0.1025  0.3548  0.0628  0.14
Hatto 1997   30  0.6627  0.0030  0.1129  0.2538  0.0824  0.14
Horszowski 1983   56  0.557  0.0141  0.0741  0.0764  0.0341  0.05
Indjic 2001   25  0.6828  0.0029  0.1028  0.2752  0.0530  0.12
Katin 1996   10  0.7340  0.0018  0.1118  0.4439  0.0717  0.18
Kiepura 1999   43  0.6014  0.0116  0.1020  0.415  0.565  0.48
Korecka 1992   20  0.6921  0.0013  0.1311  0.5022  0.299  0.38
Kushner 1990   61  0.4664  0.0058  0.0454  0.0445  0.0551  0.04
Lilamand 2001   64  0.3546  0.0064  0.0459  0.0464  0.0264  0.03
Luisada 1990   18  0.6952  0.0021  0.1015  0.4653  0.0426  0.14
Luisada 2008   16  0.7022  0.0019  0.0921  0.3953  0.0525  0.14
Lushtak 2004   11  0.725  0.035  0.1312  0.5027  0.2210  0.33
Malcuzynski 1951   63  0.3956  0.0062  0.0362  0.0358  0.0465  0.03
Malcuzynski 1961   53  0.5735  0.0046  0.0740  0.0763  0.0445  0.05
Magaloff 1977   51  0.5851  0.0059  0.0646  0.0662  0.0447  0.05
Magin 1975   29  0.6617  0.0022  0.1022  0.3951  0.0523  0.14
Meguri 1997   58  0.5555  0.0060  0.0455  0.0463  0.0452  0.04
Milkina 1970   37  0.6232  0.0043  0.0644  0.0661  0.0444  0.05
Mohovich 1999   6  0.753  0.073  0.144  0.6717  0.413  0.52
Nezu 2005   31  0.6554  0.0036  0.0645  0.0663  0.0356  0.04
Ohlsson 1999   14  0.7118  0.0027  0.1327  0.3150  0.0529  0.12
Olejniczak 1990   22  0.6819  0.0031  0.0831  0.1946  0.0531  0.10
Osinska 1989   19  0.6965  0.0014  0.1119  0.4252  0.0521  0.14
Perlemuter 1992   60  0.5326  0.0052  0.0456  0.0461  0.0362  0.03
Poblocka 1999   13  0.7129  0.0017  0.1116  0.4538  0.0715  0.18
Rangell 2001   50  0.5844  0.0056  0.0458  0.0461  0.0459  0.04
Richter 1960   1  0.811  0.601  0.591  0.782  0.651  0.71
Richter 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   44  0.6049  0.0051  0.0551  0.0562  0.0357  0.04
Rubinstein 1939   28  0.6720  0.0023  0.1217  0.4534  0.0716  0.18
Rubinstein 1952   57  0.5548  0.0055  0.0364  0.0353  0.0560  0.04
Rubinstein 1966   9  0.7445  0.0011  0.177  0.5637  0.0714  0.20
Rudanovskaya 2007   27  0.6737  0.0042  0.0647  0.0637  0.0637  0.06
Shebanova 2002   52  0.5759  0.0057  0.0457  0.0462  0.0454  0.04
Smith 1975   55  0.5616  0.0161  0.0363  0.0363  0.0463  0.03
Sztompka 1959   39  0.6160  0.0049  0.0550  0.0561  0.0350  0.04
Tanyel 1992   54  0.5734  0.0040  0.0549  0.0555  0.0455  0.04
Tsujii 2005   21  0.6857  0.0033  0.0732  0.1446  0.0533  0.08
Uninsky 1959   33  0.6462  0.0034  0.0836  0.0858  0.0436  0.06
Vardi 1988   23  0.6853  0.006  0.118  0.5312  0.532  0.53
Wasowski 1980   48  0.5863  0.0047  0.0739  0.0760  0.0442  0.05
Zimerman 1975   4  0.768  0.018  0.145  0.5919  0.454  0.52
Average   2  0.776  0.039  0.202  0.7164  0.0319  0.15
Random 1   67  0.0061  0.0065  0.0265  0.0227  0.1938  0.06
Random 2   66  0.0158  0.0067  0.0167  0.0150  0.0366  0.02
Random 3   65  0.0167  0.0066  0.0266  0.0265  0.0267  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).