Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   39  0.6753  0.0010  0.1714  0.4523  0.3715  0.41
Ax 1995   42  0.665  0.0134  0.0739  0.0734  0.1054  0.08
Bacha 1998   49  0.6342  0.0048  0.0644  0.0627  0.2040  0.11
Barbosa 1983   63  0.5660  0.0041  0.0646  0.0643  0.0760  0.06
BenOr 1989   47  0.6537  0.0046  0.0548  0.0541  0.0763  0.06
Biret 1990   14  0.7320  0.0012  0.1412  0.4816  0.559  0.51
Brailowsky 1960   38  0.6714  0.0040  0.0643  0.0619  0.5228  0.18
Chiu 1999   48  0.6438  0.0055  0.0556  0.0534  0.0759  0.06
Clidat 1994   33  0.6847  0.0026  0.0724  0.2622  0.5019  0.36
Cohen 1997   61  0.5833  0.0057  0.0462  0.042  0.7129  0.17
Cortot 1951   64  0.4958  0.0064  0.0645  0.0656  0.0465  0.05
Csalog 1996   20  0.7244  0.0017  0.1016  0.418  0.5512  0.47
Czerny 1989   34  0.6862  0.0042  0.0549  0.0532  0.1450  0.08
Ezaki 2006   28  0.7056  0.0049  0.0740  0.0738  0.0949  0.08
Falvay 1989   12  0.7334  0.0015  0.114  0.5747  0.0726  0.20
Fiorentino 1962   11  0.7325  0.0018  0.1218  0.3921  0.4416  0.41
Fliere 1977   16  0.7340  0.007  0.1117  0.4019  0.4214  0.41
Fou 1978   55  0.6116  0.0035  0.0838  0.0847  0.0757  0.07
Francois 1956   53  0.6259  0.0058  0.0554  0.0534  0.0958  0.07
Goldenweiser 1946   60  0.5857  0.0060  0.0464  0.0424  0.2246  0.09
Gornostaeva 1994   62  0.5823  0.0043  0.0555  0.0526  0.3537  0.13
Groot 1988   17  0.7228  0.0027  0.0728  0.2430  0.2125  0.22
Hatto 1993   18  0.7246  0.0038  0.1434  0.1437  0.0943  0.11
Hatto 1997   23  0.7149  0.0037  0.0836  0.0832  0.1641  0.11
Horszowski 1983   54  0.6254  0.0062  0.0547  0.0540  0.0664  0.05
Indjic 2001   15  0.738  0.0136  0.0837  0.0836  0.0953  0.08
Katin 1996   7  0.7526  0.0011  0.165  0.5610  0.633  0.59
Kiepura 1999   59  0.5918  0.0052  0.0458  0.0429  0.2444  0.10
Korecka 1992   45  0.6531  0.0054  0.0461  0.0420  0.3638  0.12
Kushner 1990   56  0.616  0.0133  0.0735  0.1325  0.2927  0.19
Lilamand 2001   58  0.5913  0.0063  0.0742  0.0734  0.1052  0.08
Luisada 1990   24  0.7151  0.0030  0.1026  0.2516  0.4921  0.35
Luisada 2008   35  0.6832  0.0044  0.0550  0.0530  0.2642  0.11
Lushtak 2004   4  0.764  0.015  0.172  0.6113  0.612  0.61
Malcuzynski 1951   51  0.6315  0.0021  0.0823  0.2734  0.0735  0.14
Malcuzynski 1961   36  0.6817  0.003  0.186  0.5618  0.4011  0.47
Magaloff 1977   57  0.6063  0.0061  0.0463  0.0438  0.0861  0.06
Magin 1975   22  0.713  0.0119  0.0919  0.3624  0.3222  0.34
Meguri 1997   50  0.6322  0.0051  0.0551  0.0533  0.1251  0.08
Milkina 1970   8  0.749  0.0113  0.138  0.5314  0.585  0.55
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Nezu 2005   31  0.6945  0.0025  0.0722  0.2741  0.0832  0.15
Ohlsson 1999   21  0.7250  0.0032  0.0831  0.1629  0.1730  0.16
Olejniczak 1990   6  0.7535  0.0014  0.1313  0.4815  0.587  0.53
Osinska 1989   2  0.772  0.022  0.353  0.5816  0.458  0.51
Perlemuter 1992   41  0.6629  0.0053  0.0459  0.046  0.4634  0.14
Poblocka 1999   10  0.7436  0.0016  0.1015  0.4428  0.3018  0.36
Rangell 2001   43  0.6664  0.0059  0.0741  0.0734  0.0955  0.08
Richter 1960   25  0.7139  0.0031  0.1027  0.2510  0.4820  0.35
Richter 1961   29  0.7012  0.0120  0.0720  0.345  0.6410  0.47
Rosen 1989   5  0.7610  0.018  0.1110  0.524  0.684  0.59
Rubinstein 1939   30  0.6955  0.0028  0.0729  0.2335  0.1031  0.15
Rubinstein 1952   37  0.6711  0.0129  0.0925  0.2635  0.0933  0.15
Rubinstein 1966   9  0.747  0.016  0.1411  0.5120  0.4013  0.45
Rudanovskaya 2007   19  0.7224  0.0024  0.0833  0.154  0.6723  0.32
Shebanova 2002   27  0.7052  0.0039  0.1632  0.1634  0.1036  0.13
Smith 1975   40  0.6748  0.0050  0.0552  0.0530  0.2339  0.11
Sztompka 1959   44  0.6527  0.0056  0.0457  0.0430  0.2048  0.09
Tanyel 1992   26  0.7019  0.0022  0.0821  0.2917  0.5017  0.38
Tsujii 2005   3  0.7743  0.009  0.129  0.5234  0.1024  0.23
Uninsky 1959   13  0.7321  0.004  0.177  0.5617  0.556  0.55
Vardi 1988   46  0.6530  0.0045  0.0460  0.0431  0.2247  0.09
Wasowski 1980   52  0.6367  0.0047  0.0553  0.0535  0.1056  0.07
Zimerman 1975   32  0.6941  0.0023  0.0730  0.1743  0.0645  0.10
Average   1  0.841  0.831  0.821  0.9124  0.471  0.65
Random 1   67  -0.0161  0.0066  0.0266  0.0222  0.2062  0.06
Random 2   66  0.0066  0.0067  0.0167  0.0130  0.1466  0.04
Random 3   65  0.0065  0.0065  0.0365  0.0337  0.0467  0.03

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).