Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   23  0.6657  0.0021  0.0919  0.4039  0.0821  0.18
Ax 1995   19  0.6723  0.0018  0.0816  0.4748  0.0624  0.17
Bacha 1998   42  0.6231  0.0034  0.0646  0.0634  0.0942  0.07
Barbosa 1983   48  0.605  0.0224  0.0826  0.3041  0.0728  0.14
BenOr 1989   41  0.6243  0.0037  0.0645  0.0645  0.0652  0.06
Biret 1990   7  0.726  0.029  0.187  0.6725  0.474  0.56
Brailowsky 1960   46  0.6151  0.0049  0.0649  0.0642  0.0745  0.06
Chiu 1999   55  0.5864  0.0059  0.0737  0.0756  0.0546  0.06
Clidat 1994   31  0.6449  0.0026  0.0827  0.3036  0.0925  0.16
Cohen 1997   63  0.4858  0.0060  0.0463  0.0432  0.1641  0.08
Cortot 1951   62  0.4950  0.0062  0.0462  0.0439  0.0663  0.05
Csalog 1996   32  0.6413  0.0142  0.0834  0.0844  0.0643  0.07
Czerny 1989   38  0.6429  0.0038  0.0648  0.0648  0.0559  0.05
Ezaki 2006   37  0.6438  0.0048  0.0555  0.0547  0.0655  0.05
Falvay 1989   2  0.762  0.142  0.373  0.8019  0.422  0.58
Fiorentino 1962   14  0.708  0.0110  0.159  0.6523  0.435  0.53
Fliere 1977   33  0.6462  0.0035  0.0647  0.0652  0.0557  0.05
Fou 1978   18  0.6815  0.0119  0.0918  0.4337  0.0918  0.20
Francois 1956   53  0.5914  0.0145  0.0741  0.0724  0.3031  0.14
Goldenweiser 1946   61  0.5120  0.0061  0.0364  0.0349  0.0665  0.04
Gornostaeva 1994   57  0.5646  0.0050  0.0651  0.0640  0.0751  0.06
Groot 1988   15  0.7040  0.0013  0.2113  0.5528  0.2312  0.36
Hatto 1993   10  0.7124  0.0015  0.1614  0.5035  0.1016  0.22
Hatto 1997   12  0.7016  0.0016  0.1315  0.4840  0.0819  0.20
Horszowski 1983   58  0.5655  0.0057  0.0460  0.0456  0.0564  0.04
Indjic 2001   13  0.7044  0.0017  0.1617  0.4641  0.0820  0.19
Katin 1996   8  0.7118  0.0012  0.228  0.6625  0.396  0.51
Kiepura 1999   40  0.633  0.068  0.1620  0.408  0.598  0.49
Korecka 1992   54  0.5926  0.0054  0.0558  0.0543  0.0747  0.06
Kushner 1990   43  0.6212  0.0130  0.1030  0.2237  0.0927  0.14
Lilamand 2001   64  0.4859  0.0064  0.0652  0.0658  0.0561  0.05
Luisada 1990   34  0.6461  0.0041  0.0740  0.0735  0.0939  0.08
Luisada 2008   36  0.6428  0.0039  0.0739  0.0736  0.1136  0.09
Lushtak 2004   24  0.6656  0.0020  0.0925  0.3151  0.0629  0.14
Malcuzynski 1951   49  0.6025  0.0047  0.0644  0.0642  0.0654  0.06
Malcuzynski 1961   44  0.6166  0.0044  0.0736  0.0749  0.0648  0.06
Magaloff 1977   59  0.5633  0.0058  0.0556  0.0549  0.0662  0.05
Magin 1975   17  0.6811  0.0125  0.0829  0.2345  0.0732  0.13
Meguri 1997   45  0.6153  0.0046  0.0735  0.0732  0.1335  0.10
Milkina 1970   27  0.6621  0.0028  0.0724  0.3334  0.0923  0.17
Mohovich 1999   28  0.6537  0.0031  0.0931  0.2260  0.0437  0.09
Nezu 2005   6  0.727  0.017  0.1610  0.6328  0.1913  0.35
Ohlsson 1999   25  0.6663  0.0040  0.0642  0.0645  0.0749  0.06
Olejniczak 1990   21  0.6732  0.0027  0.0723  0.3635  0.0922  0.18
Osinska 1989   5  0.739  0.014  0.204  0.7836  0.0915  0.26
Perlemuter 1992   60  0.5441  0.0063  0.0554  0.0562  0.0466  0.04
Poblocka 1999   11  0.7135  0.0014  0.1712  0.5540  0.0817  0.21
Rangell 2001   51  0.6048  0.0056  0.0653  0.0648  0.0653  0.06
Richter 1960   26  0.6627  0.0023  0.1121  0.3915  0.4210  0.40
Richter 1961   29  0.6547  0.0022  0.1122  0.3613  0.509  0.42
Rosen 1989   52  0.6065  0.0051  0.0738  0.0746  0.0650  0.06
Rubinstein 1939   9  0.7117  0.006  0.246  0.7117  0.473  0.58
Rubinstein 1952   39  0.6330  0.0029  0.1028  0.2946  0.0730  0.14
Rubinstein 1966   16  0.6919  0.0011  0.2411  0.6230  0.2111  0.36
Rudanovskaya 2007   35  0.6460  0.0043  0.0650  0.0611  0.4426  0.16
Shebanova 2002   22  0.6622  0.0036  0.0643  0.0637  0.0844  0.07
Smith 1975   50  0.6036  0.0055  0.0557  0.0553  0.0658  0.05
Sztompka 1959   47  0.6039  0.0053  0.0559  0.0559  0.0560  0.05
Tanyel 1992   30  0.6534  0.0033  0.0933  0.1739  0.0733  0.11
Tsujii 2005   3  0.764  0.023  0.412  0.8022  0.317  0.50
Uninsky 1959   20  0.6745  0.0032  0.0932  0.1861  0.0438  0.08
Vardi 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   56  0.5842  0.0052  0.0461  0.0442  0.0756  0.05
Zimerman 1975   4  0.7410  0.015  0.225  0.7214  0.571  0.64
Average   1  0.791  0.611  0.601  0.8946  0.0814  0.27
Random 1   66  0.0052  0.0066  0.0266  0.0211  0.3540  0.08
Random 2   67  -0.0167  0.0067  0.0167  0.0153  0.0467  0.02
Random 3   65  0.0354  0.0065  0.0365  0.0313  0.3734  0.11

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).