Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   18  0.7126  0.007  0.1210  0.5324  0.3514  0.43
Ax 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 1998   49  0.6451  0.0047  0.0650  0.0641  0.0755  0.06
Barbosa 1983   37  0.6613  0.0026  0.0825  0.3215  0.5215  0.41
BenOr 1989   53  0.6227  0.0049  0.0740  0.0759  0.0558  0.06
Biret 1990   20  0.7116  0.0018  0.1220  0.3827  0.3917  0.38
Brailowsky 1960   51  0.6355  0.0052  0.0837  0.0833  0.1641  0.11
Chiu 1999   46  0.6418  0.0046  0.0747  0.0723  0.3335  0.15
Clidat 1994   41  0.6521  0.0051  0.0838  0.0840  0.0752  0.07
Cohen 1997   63  0.4759  0.0062  0.0364  0.0328  0.1754  0.07
Cortot 1951   64  0.4750  0.0064  0.0658  0.0630  0.1049  0.08
Csalog 1996   36  0.6715  0.0033  0.0731  0.1442  0.0646  0.09
Czerny 1989   19  0.715  0.015  0.1111  0.527  0.623  0.57
Ezaki 2006   10  0.7230  0.0020  0.0816  0.406  0.6510  0.51
Falvay 1989   8  0.7333  0.008  0.149  0.5344  0.0726  0.19
Fiorentino 1962   16  0.7131  0.0023  0.0822  0.3529  0.2121  0.27
Fliere 1977   22  0.7049  0.0027  0.0826  0.2933  0.1422  0.20
Fou 1978   5  0.742  0.024  0.313  0.704  0.662  0.68
Francois 1956   50  0.638  0.0139  0.0744  0.078  0.5725  0.20
Goldenweiser 1946   58  0.5858  0.0058  0.0653  0.0618  0.3437  0.14
Gornostaeva 1994   59  0.5836  0.0057  0.0657  0.0651  0.0563  0.05
Groot 1988   29  0.6840  0.0041  0.0656  0.0640  0.0760  0.06
Hatto 1993   14  0.7138  0.0016  0.1015  0.4238  0.0927  0.19
Hatto 1997   21  0.7141  0.0022  0.0723  0.3543  0.0733  0.16
Horszowski 1983   60  0.5763  0.0060  0.0560  0.0557  0.0464  0.04
Indjic 2001   17  0.7144  0.0019  0.0818  0.3935  0.1024  0.20
Katin 1996   25  0.6943  0.0028  0.0828  0.2738  0.0932  0.16
Kiepura 1999   35  0.676  0.0113  0.1214  0.433  0.725  0.56
Korecka 1992   43  0.6448  0.0043  0.0743  0.0711  0.5523  0.20
Kushner 1990   54  0.6157  0.0031  0.0633  0.1227  0.2431  0.17
Lilamand 2001   61  0.5660  0.0061  0.0562  0.0557  0.0662  0.05
Luisada 1990   32  0.6754  0.0036  0.0835  0.0834  0.1345  0.10
Luisada 2008   48  0.6461  0.0042  0.0746  0.0733  0.1742  0.11
Lushtak 2004   33  0.6746  0.0035  0.0742  0.0746  0.0753  0.07
Malcuzynski 1951   39  0.6519  0.0030  0.0830  0.2132  0.1234  0.16
Malcuzynski 1961   28  0.6834  0.0025  0.0727  0.2841  0.0738  0.14
Magaloff 1977   40  0.659  0.0145  0.0745  0.0728  0.1743  0.11
Magin 1975   7  0.7325  0.0012  0.1512  0.5112  0.538  0.52
Meguri 1997   57  0.5928  0.0048  0.0654  0.0659  0.0461  0.05
Milkina 1970   15  0.7129  0.0010  0.167  0.5815  0.574  0.57
Mohovich 1999   38  0.667  0.0137  0.1034  0.1039  0.0747  0.08
Nezu 2005   27  0.6832  0.0024  0.1024  0.3248  0.0736  0.15
Ohlsson 1999   26  0.6922  0.0040  0.0561  0.0544  0.0756  0.06
Olejniczak 1990   23  0.7047  0.0017  0.1021  0.3621  0.4216  0.39
Osinska 1989   3  0.7710  0.012  0.334  0.7020  0.407  0.53
Perlemuter 1992   62  0.5464  0.0063  0.0463  0.0441  0.0565  0.04
Poblocka 1999   6  0.7417  0.009  0.206  0.6416  0.496  0.56
Rangell 2001   52  0.6353  0.0054  0.0651  0.0647  0.0659  0.06
Richter 1960   45  0.6439  0.0044  0.0741  0.0723  0.2740  0.14
Richter 1961   44  0.6423  0.0038  0.0739  0.0715  0.4728  0.18
Rosen 1989   30  0.6735  0.0032  0.0632  0.1330  0.2629  0.18
Rubinstein 1939   12  0.7212  0.0014  0.1713  0.5020  0.4412  0.47
Rubinstein 1952   11  0.7211  0.0011  0.128  0.5518  0.499  0.52
Rubinstein 1966   2  0.773  0.023  0.472  0.808  0.671  0.73
Rudanovskaya 2007   56  0.5945  0.0059  0.0655  0.0624  0.1944  0.11
Shebanova 2002   47  0.6462  0.0055  0.0649  0.0639  0.0757  0.06
Smith 1975   42  0.6452  0.0053  0.0659  0.0634  0.0951  0.07
Sztompka 1959   34  0.6756  0.0050  0.0652  0.0626  0.3439  0.14
Tanyel 1992   24  0.7020  0.0029  0.0929  0.2322  0.3520  0.28
Tsujii 2005   4  0.754  0.026  0.125  0.6732  0.1619  0.33
Uninsky 1959   13  0.7237  0.0021  0.0819  0.3827  0.3218  0.35
Vardi 1988   31  0.6742  0.0034  0.0648  0.0616  0.4730  0.17
Wasowski 1980   55  0.6124  0.0056  0.0836  0.0845  0.0750  0.07
Zimerman 1975   9  0.7314  0.0015  0.1617  0.4018  0.5213  0.46
Average   1  0.821  0.811  0.801  0.9032  0.2811  0.50
Random 1   67  -0.0365  0.0066  0.0266  0.0235  0.0566  0.03
Random 2   66  -0.0166  0.0067  0.0167  0.0145  0.0567  0.02
Random 3   65  0.0167  0.0065  0.0365  0.0325  0.1948  0.08

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).