Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   63  0.3358  0.0055  0.0459  0.0449  0.0565  0.04
Ax 1995   50  0.4842  0.0038  0.0741  0.0733  0.1451  0.10
Bacha 1998   56  0.4656  0.0048  0.0643  0.0627  0.2845  0.13
Barbosa 1983   51  0.4823  0.0039  0.0837  0.0831  0.1847  0.12
BenOr 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Biret 1990   13  0.6214  0.015  0.214  0.705  0.694  0.69
Brailowsky 1960   59  0.4551  0.0057  0.0644  0.0637  0.0955  0.07
Chiu 1999   57  0.4644  0.0051  0.0554  0.0526  0.2746  0.12
Clidat 1994   54  0.4864  0.0042  0.0553  0.0556  0.0563  0.05
Cohen 1997   62  0.4138  0.0062  0.0458  0.045  0.6041  0.15
Cortot 1951   49  0.4950  0.0063  0.0646  0.0632  0.1652  0.10
Csalog 1996   21  0.6046  0.0017  0.1221  0.5115  0.5318  0.52
Czerny 1989   28  0.5720  0.0022  0.1322  0.5019  0.4720  0.48
Ezaki 2006   24  0.5828  0.0032  0.1132  0.2231  0.2432  0.23
Falvay 1989   2  0.692  0.252  0.452  0.8114  0.593  0.69
Fiorentino 1962   9  0.6419  0.007  0.206  0.6811  0.615  0.64
Fliere 1977   31  0.5615  0.0030  0.0931  0.2413  0.4927  0.34
Fou 1978   17  0.6221  0.009  0.1611  0.6212  0.5710  0.59
Francois 1956   55  0.4763  0.0058  0.0457  0.0435  0.0861  0.06
Goldenweiser 1946   60  0.4443  0.0060  0.0362  0.0359  0.0564  0.04
Gornostaeva 1994   37  0.5332  0.0035  0.1034  0.104  0.6830  0.26
Groot 1988   16  0.627  0.036  0.208  0.649  0.569  0.60
Hatto 1993   8  0.6422  0.0010  0.1013  0.6017  0.5114  0.55
Hatto 1997   7  0.6413  0.0111  0.1310  0.6214  0.5511  0.58
Horszowski 1983   52  0.4855  0.0054  0.0460  0.049  0.4642  0.14
Indjic 2001   4  0.668  0.018  0.215  0.6814  0.577  0.62
Katin 1996   6  0.6445  0.0013  0.1814  0.5924  0.3822  0.47
Kiepura 1999   34  0.5562  0.0033  0.1133  0.1120  0.5631  0.25
Korecka 1992   33  0.5640  0.0036  0.0839  0.089  0.6433  0.23
Kushner 1990   27  0.5826  0.0026  0.1026  0.3714  0.4625  0.41
Lilamand 2001   43  0.5157  0.0043  0.0645  0.067  0.5338  0.18
Luisada 1990   12  0.6311  0.0112  0.1512  0.617  0.666  0.63
Luisada 2008   32  0.5610  0.0123  0.1023  0.4210  0.6716  0.53
Lushtak 2004   11  0.639  0.0115  0.159  0.6412  0.4912  0.56
Malcuzynski 1951   36  0.5534  0.0034  0.0935  0.0919  0.4236  0.19
Malcuzynski 1961   5  0.643  0.094  0.367  0.6814  0.548  0.61
Magaloff 1977   42  0.5241  0.0046  0.0549  0.0512  0.5539  0.17
Magin 1975   20  0.6039  0.0018  0.1116  0.5617  0.4917  0.52
Meguri 1997   35  0.5530  0.0040  0.0740  0.0715  0.5135  0.19
Milkina 1970   14  0.6212  0.0116  0.1515  0.5919  0.3921  0.48
Mohovich 1999   15  0.6224  0.0021  0.1518  0.529  0.5319  0.52
Nezu 2005   18  0.6227  0.0025  0.1024  0.4222  0.3426  0.38
Ohlsson 1999   41  0.5235  0.0041  0.0836  0.0848  0.0756  0.07
Olejniczak 1990   1  0.691  0.361  0.351  0.822  0.851  0.83
Osinska 1989   3  0.684  0.093  0.283  0.747  0.642  0.69
Perlemuter 1992   58  0.4552  0.0059  0.0461  0.047  0.5043  0.14
Poblocka 1999   19  0.6031  0.0029  0.1429  0.3324  0.3528  0.34
Rangell 2001   39  0.5353  0.0052  0.0552  0.0529  0.2350  0.11
Richter 1960   44  0.5160  0.0049  0.0548  0.0523  0.2649  0.11
Richter 1961   61  0.4336  0.0061  0.0363  0.0337  0.0762  0.05
Rosen 1989   25  0.5847  0.0028  0.1128  0.3613  0.5624  0.45
Rubinstein 1939   48  0.4937  0.0047  0.0647  0.0634  0.1254  0.08
Rubinstein 1952   47  0.5048  0.0037  0.0838  0.0834  0.1053  0.09
Rubinstein 1966   30  0.5733  0.0027  0.1027  0.3730  0.2129  0.28
Rudanovskaya 2007   40  0.5217  0.0053  0.0556  0.0535  0.0860  0.06
Shebanova 2002   53  0.4854  0.0056  0.0555  0.0538  0.0759  0.06
Smith 1975   46  0.5061  0.0044  0.0551  0.0544  0.0758  0.06
Sztompka 1959   45  0.5025  0.0045  0.0550  0.0514  0.4940  0.16
Tanyel 1992   23  0.5918  0.0014  0.1420  0.5115  0.5715  0.54
Tsujii 2005   10  0.6329  0.0020  0.1419  0.5233  0.1034  0.23
Uninsky 1959   26  0.5849  0.0031  0.1030  0.2434  0.0844  0.14
Vardi 1988   29  0.5716  0.0024  0.1025  0.4016  0.5423  0.46
Wasowski 1980   38  0.535  0.0350  0.0742  0.0717  0.4437  0.18
Zimerman 1975   22  0.596  0.0319  0.1317  0.5315  0.5713  0.55
Random 1   66  0.0065  0.0066  0.0166  0.0150  0.0366  0.02
Random 2   65  0.0366  0.0065  0.0265  0.0226  0.2557  0.07
Random 3   64  0.0359  0.0064  0.0364  0.034  0.4948  0.12

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).