Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   21  0.5339  0.0010  0.167  0.5763  0.0416  0.15
Ax 1995   44  0.479  0.0222  0.0828  0.1764  0.0337  0.07
Bacha 1998   29  0.5034  0.0040  0.0839  0.0860  0.0539  0.06
Barbosa 1983   62  0.4015  0.0156  0.0643  0.0655  0.0640  0.06
BenOr 1989   32  0.5046  0.0028  0.0730  0.1761  0.0433  0.08
Biret 1990   16  0.5410  0.0215  0.1311  0.5160  0.0513  0.16
Brailowsky 1960   43  0.4858  0.0051  0.0550  0.0563  0.0459  0.04
Chiu 1999   26  0.5144  0.0045  0.0552  0.0560  0.0547  0.05
Clidat 1994   34  0.5020  0.0030  0.0729  0.1762  0.0432  0.08
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   58  0.4359  0.0061  0.0461  0.0451  0.0465  0.04
Csalog 1996   2  0.595  0.045  0.204  0.6464  0.0410  0.16
Czerny 1989   53  0.4524  0.0048  0.0458  0.0445  0.0650  0.05
Ezaki 2006   27  0.5151  0.0041  0.0836  0.0850  0.0634  0.07
Falvay 1989   18  0.5430  0.0011  0.149  0.5354  0.064  0.18
Fiorentino 1962   9  0.5611  0.0216  0.1212  0.4963  0.0418  0.14
Fliere 1977   19  0.5462  0.0037  0.0935  0.0946  0.0635  0.07
Fou 1978   28  0.5138  0.0021  0.1021  0.3162  0.0424  0.11
Francois 1956   30  0.5012  0.0139  0.0838  0.0864  0.0445  0.06
Goldenweiser 1946   64  0.3265  0.0064  0.0551  0.0553  0.0546  0.05
Gornostaeva 1994   50  0.4755  0.0043  0.0553  0.0548  0.0652  0.05
Groot 1988   23  0.5247  0.0033  0.0733  0.1352  0.0629  0.09
Hatto 1993   55  0.4557  0.0047  0.0457  0.0454  0.0653  0.05
Hatto 1997   57  0.4464  0.0055  0.0742  0.0757  0.0642  0.06
Horszowski 1983   61  0.4260  0.0060  0.0363  0.0347  0.0556  0.04
Indjic 2001   56  0.4545  0.0053  0.0548  0.0555  0.0651  0.05
Katin 1996   8  0.574  0.0412  0.1214  0.4950  0.065  0.17
Kiepura 1999   33  0.5019  0.0023  0.0825  0.2262  0.0427  0.09
Korecka 1992   46  0.4732  0.0052  0.0546  0.0546  0.0549  0.05
Kushner 1990   35  0.4928  0.0018  0.1224  0.2441  0.0621  0.12
Lilamand 2001   59  0.4341  0.0058  0.0545  0.0563  0.0462  0.04
Luisada 1990   42  0.4826  0.0027  0.0623  0.2552  0.0623  0.12
Luisada 2008   49  0.4723  0.0035  0.0740  0.0745  0.0643  0.06
Lushtak 2004   5  0.5729  0.004  0.263  0.6659  0.0411  0.16
Malcuzynski 1951   63  0.3667  0.0063  0.0556  0.0549  0.0554  0.05
Malcuzynski 1961   39  0.4933  0.0025  0.0726  0.2155  0.0525  0.10
Magaloff 1977   60  0.4221  0.0062  0.0462  0.0457  0.0564  0.04
Magin 1975   52  0.4636  0.0054  0.0547  0.0553  0.0648  0.05
Meguri 1997   7  0.578  0.037  0.1313  0.4943  0.059  0.16
Milkina 1970   20  0.5348  0.0026  0.0822  0.2552  0.0619  0.12
Mohovich 1999   3  0.582  0.212  0.322  0.7162  0.047  0.17
Nezu 2005   24  0.5254  0.0017  0.1318  0.4460  0.0514  0.15
Ohlsson 1999   14  0.5518  0.0120  0.1219  0.3457  0.0420  0.12
Olejniczak 1990   36  0.4937  0.0036  0.0741  0.0756  0.0544  0.06
Osinska 1989   11  0.5516  0.016  0.135  0.6254  0.063  0.19
Perlemuter 1992   48  0.4750  0.0057  0.0549  0.0561  0.0458  0.04
Poblocka 1999   25  0.5253  0.0032  0.0827  0.1964  0.0428  0.09
Rangell 2001   22  0.5327  0.0029  0.0731  0.1751  0.0626  0.10
Richter 1960   40  0.4956  0.0038  0.1234  0.1264  0.0341  0.06
Richter 1961   38  0.4940  0.0034  0.0837  0.0839  0.0636  0.07
Rosen 1989   13  0.5513  0.0119  0.1417  0.4547  0.0515  0.15
Rubinstein 1939   45  0.4743  0.0046  0.0644  0.0651  0.0638  0.06
Rubinstein 1952   47  0.4735  0.0049  0.0459  0.0456  0.0655  0.05
Rubinstein 1966   17  0.5417  0.0124  0.0620  0.3151  0.0522  0.12
Rudanovskaya 2007   15  0.556  0.038  0.148  0.5332  0.121  0.25
Shebanova 2002   37  0.4942  0.0044  0.0554  0.0564  0.0463  0.04
Smith 1975   31  0.5022  0.0050  0.0460  0.0463  0.0460  0.04
Sztompka 1959   54  0.4563  0.0059  0.0364  0.0353  0.0561  0.04
Tanyel 1992   4  0.583  0.193  0.286  0.6155  0.056  0.17
Tsujii 2005   6  0.5749  0.009  0.1610  0.5262  0.0512  0.16
Uninsky 1959   10  0.5614  0.0114  0.1015  0.4951  0.058  0.16
Vardi 1988   41  0.4831  0.0031  0.0732  0.1663  0.0430  0.08
Wasowski 1980   51  0.4652  0.0042  0.0555  0.0562  0.0457  0.04
Zimerman 1975   12  0.557  0.0313  0.1316  0.4861  0.0517  0.15
Average   1  0.611  0.231  0.231  0.7357  0.062  0.21
Random 1   67  -0.0466  0.0067  0.0167  0.0164  0.0267  0.01
Random 2   65  0.0325  0.0066  0.0265  0.0212  0.3231  0.08
Random 3   66  -0.0161  0.0065  0.0266  0.0252  0.0366  0.02

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).