Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   16  0.7815  0.018  0.178  0.4430  0.1618  0.27
Ax 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Bacha 1998   38  0.7229  0.0036  0.0645  0.0644  0.0555  0.05
Barbosa 1983   50  0.7024  0.0030  0.0832  0.1822  0.3520  0.25
BenOr 1989   59  0.6546  0.0055  0.0461  0.0460  0.0465  0.04
Biret 1990   10  0.7930  0.0013  0.0711  0.3724  0.2317  0.29
Brailowsky 1960   54  0.6737  0.0056  0.0459  0.0443  0.0654  0.05
Chiu 1999   39  0.728  0.0345  0.0738  0.0722  0.2928  0.14
Clidat 1994   31  0.7538  0.0037  0.0934  0.0936  0.0740  0.08
Cohen 1997   63  0.6159  0.0060  0.0460  0.0420  0.3338  0.11
Cortot 1951   64  0.5164  0.0064  0.0551  0.0551  0.0559  0.05
Csalog 1996   42  0.7236  0.0052  0.0554  0.0540  0.0657  0.05
Czerny 1989   19  0.774  0.065  0.157  0.453  0.564  0.50
Ezaki 2006   5  0.8050  0.0011  0.0710  0.388  0.537  0.45
Falvay 1989   23  0.7714  0.0127  0.0727  0.2449  0.0535  0.11
Fiorentino 1962   26  0.7631  0.0034  0.0644  0.0648  0.0650  0.06
Fliere 1977   12  0.7923  0.0023  0.0822  0.3056  0.0532  0.12
Fou 1978   8  0.805  0.047  0.225  0.5416  0.503  0.52
Francois 1956   40  0.726  0.0340  0.0641  0.0611  0.4825  0.17
Goldenweiser 1946   62  0.6240  0.0061  0.0457  0.0442  0.0653  0.05
Gornostaeva 1994   60  0.6460  0.0054  0.0462  0.0461  0.0464  0.04
Groot 1988   41  0.7257  0.0050  0.0456  0.0464  0.0466  0.04
Hatto 1993   17  0.7849  0.0022  0.0820  0.3135  0.0827  0.16
Hatto 1997   22  0.7744  0.0025  0.0726  0.2536  0.0829  0.14
Horszowski 1983   46  0.7161  0.0042  0.0737  0.0745  0.0643  0.06
Indjic 2001   20  0.7752  0.0024  0.0724  0.2648  0.0634  0.12
Katin 1996   18  0.7726  0.0031  0.0929  0.2236  0.0831  0.13
Kiepura 1999   44  0.7211  0.019  0.0819  0.321  0.676  0.46
Korecka 1992   49  0.7033  0.0047  0.0647  0.0615  0.4226  0.16
Kushner 1990   57  0.6554  0.0039  0.0739  0.0730  0.1737  0.11
Lilamand 2001   61  0.6327  0.0062  0.0553  0.0541  0.0744  0.06
Luisada 1990   48  0.7053  0.0046  0.0646  0.0637  0.0647  0.06
Luisada 2008   52  0.6967  0.0049  0.0550  0.0533  0.1041  0.07
Lushtak 2004   43  0.7262  0.0044  0.0736  0.0749  0.0548  0.06
Malcuzynski 1951   47  0.7025  0.0038  0.0835  0.0852  0.0551  0.06
Malcuzynski 1961   36  0.7432  0.0029  0.0831  0.1943  0.0636  0.11
Magaloff 1977   27  0.7613  0.0133  0.0733  0.1424  0.2623  0.19
Magin 1975   9  0.7951  0.0014  0.0916  0.3414  0.4111  0.37
Meguri 1997   58  0.6528  0.0048  0.0458  0.0460  0.0463  0.04
Milkina 1970   6  0.8012  0.016  0.186  0.5213  0.542  0.53
Mohovich 1999   30  0.757  0.0312  0.0728  0.2231  0.1524  0.18
Nezu 2005   28  0.7539  0.0021  0.0721  0.3054  0.0533  0.12
Ohlsson 1999   37  0.7317  0.0151  0.0548  0.0562  0.0362  0.04
Olejniczak 1990   24  0.7716  0.0115  0.1014  0.3522  0.2915  0.32
Osinska 1989   2  0.842  0.092  0.312  0.6120  0.405  0.49
Perlemuter 1992   56  0.6565  0.0063  0.0549  0.0551  0.0460  0.04
Poblocka 1999   4  0.8222  0.004  0.164  0.5519  0.328  0.42
Rangell 2001   33  0.7447  0.0035  0.0643  0.0629  0.1739  0.10
Richter 1960   29  0.759  0.0218  0.089  0.3816  0.3810  0.38
Richter 1961   34  0.7442  0.0020  0.0718  0.3314  0.469  0.39
Rosen 1989   35  0.7435  0.0041  0.0642  0.0647  0.0558  0.05
Rubinstein 1939   15  0.7820  0.0019  0.0817  0.3424  0.2416  0.29
Rubinstein 1952   14  0.7819  0.0017  0.0812  0.3524  0.4012  0.37
Rubinstein 1966   3  0.823  0.083  0.153  0.6010  0.571  0.58
Rudanovskaya 2007   55  0.6748  0.0059  0.0464  0.0433  0.1242  0.07
Shebanova 2002   32  0.7458  0.0043  0.0740  0.0742  0.0645  0.06
Smith 1975   51  0.7063  0.0058  0.0455  0.0452  0.0561  0.04
Sztompka 1959   45  0.7143  0.0057  0.0552  0.0541  0.0656  0.05
Tanyel 1992   21  0.7721  0.0032  0.0930  0.2128  0.2521  0.23
Tsujii 2005   7  0.8018  0.0116  0.0713  0.3547  0.0630  0.14
Uninsky 1959   13  0.7845  0.0028  0.0923  0.2729  0.2519  0.26
Vardi 1988   25  0.7641  0.0026  0.0725  0.2613  0.5013  0.36
Wasowski 1980   53  0.6834  0.0053  0.0463  0.0446  0.0652  0.05
Zimerman 1975   11  0.7910  0.0210  0.0815  0.3521  0.2914  0.32
Average   1  0.871  0.441  0.431  0.7151  0.0622  0.21
Random 1   67  -0.1066  0.0067  0.0167  0.0142  0.0467  0.02
Random 2   66  0.0055  0.0066  0.0266  0.0229  0.1746  0.06
Random 3   65  0.0056  0.0065  0.0265  0.0222  0.2049  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).