Richter 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2619  0.0023  0.1524  0.3927  0.3622  0.37
Ax 1995   63  0.2860  0.0060  0.0361  0.0358  0.0464  0.03
Bacha 1998   55  0.4246  0.0056  0.0641  0.0644  0.0550  0.05
Barbosa 1983   58  0.3659  0.0034  0.0544  0.0552  0.0653  0.05
BenOr 1989   12  0.6313  0.0012  0.1511  0.647  0.589  0.61
Biret 1990   26  0.5815  0.0027  0.1025  0.3423  0.3526  0.34
Brailowsky 1960   61  0.3562  0.0062  0.0362  0.0347  0.0660  0.04
Chiu 1999   53  0.4349  0.0057  0.0636  0.0656  0.0549  0.05
Clidat 1994   50  0.4542  0.0037  0.0552  0.0550  0.0654  0.05
Cohen 1997   60  0.3655  0.0058  0.0360  0.0338  0.0757  0.05
Cortot 1951   31  0.5450  0.0045  0.0556  0.0530  0.1339  0.08
Csalog 1996   15  0.6256  0.0021  0.1317  0.5031  0.1728  0.29
Czerny 1989   21  0.5927  0.0019  0.1114  0.5519  0.4513  0.50
Ezaki 2006   37  0.5341  0.0024  0.1922  0.4022  0.3620  0.38
Falvay 1989   9  0.6444  0.0014  0.1212  0.6228  0.2221  0.37
Fiorentino 1962   43  0.5065  0.0052  0.0548  0.0546  0.0658  0.05
Fliere 1977   41  0.5147  0.0051  0.0549  0.0540  0.0742  0.06
Fou 1978   40  0.5123  0.0039  0.0546  0.0542  0.0745  0.06
Francois 1956   57  0.4153  0.0061  0.0363  0.0350  0.0465  0.03
Goldenweiser 1946   44  0.5039  0.0044  0.0553  0.0554  0.0547  0.05
Gornostaeva 1994   59  0.3663  0.0059  0.0557  0.0555  0.0559  0.05
Groot 1988   10  0.646  0.036  0.183  0.716  0.607  0.65
Hatto 1993   24  0.5945  0.0030  0.0629  0.2431  0.1529  0.19
Hatto 1997   23  0.5958  0.0032  0.0932  0.2141  0.0636  0.11
Horszowski 1983   33  0.5436  0.0011  0.1219  0.4417  0.5415  0.49
Indjic 2001   18  0.6066  0.0031  0.0731  0.2335  0.0731  0.13
Katin 1996   6  0.6528  0.0016  0.1023  0.3927  0.3224  0.35
Kiepura 1999   46  0.4831  0.0054  0.0639  0.0638  0.0840  0.07
Korecka 1992   54  0.4267  0.0064  0.0364  0.0363  0.0362  0.03
Kushner 1990   51  0.4520  0.0050  0.0555  0.0541  0.0652  0.05
Lilamand 2001   7  0.6417  0.009  0.156  0.685  0.734  0.70
Luisada 1990   8  0.6418  0.004  0.155  0.695  0.696  0.69
Luisada 2008   56  0.4111  0.0155  0.0735  0.0751  0.0546  0.06
Lushtak 2004   32  0.5410  0.0129  0.0828  0.2546  0.0634  0.12
Malcuzynski 1951   47  0.4830  0.0041  0.0638  0.0612  0.5130  0.17
Malcuzynski 1961   11  0.6325  0.0010  0.249  0.647  0.5610  0.60
Magaloff 1977   16  0.623  0.065  0.1713  0.595  0.668  0.62
Magin 1975   30  0.559  0.0122  0.1221  0.4230  0.2527  0.32
Meguri 1997   17  0.6116  0.0026  0.0926  0.2715  0.4923  0.36
Milkina 1970   29  0.5535  0.0048  0.0551  0.0546  0.0651  0.05
Mohovich 1999   36  0.5326  0.0042  0.0637  0.0644  0.0556  0.05
Nezu 2005   19  0.6061  0.0043  0.0547  0.0547  0.0655  0.05
Ohlsson 1999   38  0.5322  0.0036  0.0834  0.0835  0.0838  0.08
Olejniczak 1990   34  0.5437  0.0040  0.0545  0.0522  0.2735  0.12
Osinska 1989   3  0.6812  0.017  0.192  0.723  0.693  0.70
Perlemuter 1992   27  0.565  0.0325  0.1127  0.253  0.7019  0.42
Poblocka 1999   39  0.5138  0.0049  0.0550  0.0535  0.0843  0.06
Rangell 2001   4  0.684  0.053  0.144  0.695  0.771  0.73
Richter 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1961   45  0.5033  0.0046  0.0554  0.0547  0.0648  0.05
Rosen 1989   5  0.6724  0.0015  0.168  0.645  0.765  0.70
Rubinstein 1939   42  0.5040  0.0035  0.0640  0.0640  0.0644  0.06
Rubinstein 1952   35  0.5454  0.0018  0.1020  0.4213  0.4518  0.43
Rubinstein 1966   25  0.5832  0.0017  0.0918  0.4920  0.3916  0.44
Rudanovskaya 2007   20  0.6048  0.0047  0.0458  0.0451  0.0461  0.04
Shebanova 2002   22  0.597  0.0213  0.1415  0.5318  0.4814  0.50
Smith 1975   28  0.5621  0.0028  0.0830  0.2313  0.5025  0.34
Sztompka 1959   62  0.3157  0.0067  0.0167  0.0162  0.0267  0.01
Tanyel 1992   13  0.622  0.152  0.2210  0.642  0.802  0.72
Tsujii 2005   2  0.698  0.018  0.177  0.6711  0.4911  0.57
Uninsky 1959   14  0.6234  0.0020  0.1216  0.5210  0.5312  0.52
Vardi 1988   49  0.4514  0.0033  0.0733  0.1347  0.0637  0.09
Wasowski 1980   48  0.4643  0.0053  0.0642  0.0627  0.2432  0.12
Zimerman 1975   52  0.4429  0.0038  0.0643  0.0636  0.0941  0.07
Average   1  0.761  0.531  0.521  0.8628  0.2217  0.43
Random 1   66  0.0464  0.0065  0.0266  0.0241  0.0463  0.03
Random 2   65  0.0951  0.0063  0.0359  0.0310  0.4633  0.12
Random 3   67  -0.0452  0.0066  0.0265  0.0254  0.0366  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).