Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.3625  0.007  0.1113  0.4157  0.0416  0.13
Ashkenazy 1981   31  0.4626  0.0032  0.0532  0.1050  0.0533  0.07
Beliavsky 2004   18  0.507  0.0411  0.118  0.4751  0.0411  0.14
BenOr 1989   20  0.4838  0.0043  0.0547  0.0545  0.0649  0.05
Biret 1990   33  0.4330  0.0035  0.0640  0.0656  0.0450  0.05
Blet 2003   32  0.4433  0.0012  0.1120  0.3159  0.0423  0.11
Block 1995   54  0.3257  0.0061  0.0552  0.0563  0.0360  0.04
Brailowsky 1960   36  0.4351  0.0030  0.0830  0.1758  0.0428  0.08
Chiu 1999   53  0.3417  0.0156  0.0551  0.0558  0.0539  0.05
Clidat 1994   9  0.556  0.048  0.136  0.5061  0.0413  0.14
Cohen 1997   62  0.1935  0.0033  0.0636  0.0643  0.0547  0.05
Coop 1987   47  0.3937  0.0048  0.0459  0.0451  0.0556  0.04
Cortot 1951   59  0.2844  0.0039  0.0641  0.0656  0.0451  0.05
Czerny 1949   10  0.5454  0.0022  0.1126  0.2354  0.0524  0.11
Czerny 1949b   13  0.5228  0.0025  0.0724  0.2855  0.0518  0.12
Ezaki 2006   43  0.4029  0.0052  0.0549  0.0552  0.0637  0.05
Falvay 1989   57  0.2962  0.0059  0.0461  0.0462  0.0453  0.04
Ferenczy 1958   55  0.2932  0.0047  0.0638  0.0649  0.0544  0.05
Fiorentino 1962   30  0.4664  0.0044  0.0635  0.0662  0.0448  0.05
Fliere 1977   16  0.5113  0.0219  0.0814  0.4058  0.059  0.14
Fou 1978   34  0.4339  0.0038  0.0634  0.0659  0.0441  0.05
Francois 1956   12  0.539  0.0310  0.1110  0.4559  0.0321  0.12
Hatto 1997   61  0.2361  0.0046  0.0548  0.0546  0.0543  0.05
Horowitz 1971   11  0.531  0.271  0.261  0.6355  0.053  0.18
Horowitz 1985   6  0.562  0.152  0.182  0.6213  0.471  0.54
Indjic 2001   60  0.2458  0.0045  0.0456  0.0446  0.0561  0.04
Kapell 1951   44  0.4041  0.0042  0.0644  0.0660  0.0442  0.05
Kiepura 1999   50  0.3756  0.0057  0.0460  0.0448  0.0552  0.04
Kilenyi 1937   19  0.4916  0.0140  0.0643  0.0656  0.0445  0.05
Kissin 1993   42  0.4050  0.0028  0.0829  0.1849  0.0526  0.09
Kitain 1937   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1990   4  0.5745  0.009  0.095  0.5254  0.0412  0.14
Levy 1951   14  0.5223  0.0026  0.0821  0.3146  0.0422  0.11
Luisada 1990   28  0.4627  0.0029  0.0728  0.1862  0.0332  0.07
Lushtak 2004   27  0.4647  0.0023  0.0825  0.2543  0.0619  0.12
Lympany 1968   26  0.4736  0.0024  0.0823  0.2839  0.0614  0.13
Magaloff 1977   38  0.4119  0.0150  0.0550  0.0563  0.0359  0.04
Magaloff 1977b   39  0.4122  0.0151  0.0545  0.0561  0.0462  0.04
Magin 1975   56  0.2960  0.0062  0.0546  0.0556  0.0540  0.05
Milkina 1970   35  0.4363  0.0016  0.0917  0.3839  0.066  0.15
Mohovich 1999   15  0.5221  0.0120  0.0815  0.3955  0.0420  0.12
Nadelmann 1956   21  0.4814  0.0118  0.0822  0.3062  0.0327  0.09
Ohlsson 1999   58  0.2952  0.0060  0.0463  0.0457  0.0457  0.04
Olejniczac 1990   29  0.4665  0.0041  0.0637  0.0662  0.0446  0.05
Olejniczak 1991   46  0.3949  0.0054  0.0458  0.0451  0.0554  0.04
Osinska 1989   24  0.4731  0.0017  0.1018  0.3758  0.0417  0.12
Paderewski 1912   23  0.4815  0.0121  0.0819  0.3563  0.0325  0.10
Perahia 1994   45  0.3946  0.0034  0.0639  0.0643  0.0636  0.06
Perlemuter 1986   3  0.5724  0.0014  0.0912  0.4360  0.0415  0.13
Poblocka 1999   40  0.4155  0.0055  0.0553  0.0552  0.0638  0.05
Rangell 2001   49  0.3759  0.0053  0.0454  0.0458  0.0463  0.04
Risler 1920   17  0.518  0.0331  0.0731  0.1563  0.0330  0.07
Rosen 1989   22  0.4812  0.0227  0.0827  0.1858  0.0429  0.08
Rubinstein 1939   7  0.565  0.045  0.1416  0.3948  0.065  0.15
Rubinstein 1952   2  0.5811  0.026  0.1311  0.4434  0.058  0.15
Rubinstein 1966   25  0.474  0.074  0.123  0.6045  0.047  0.15
Rummel 1943   1  0.593  0.113  0.184  0.5725  0.172  0.31
Shebanova 2002   52  0.3648  0.0058  0.0457  0.0445  0.0558  0.04
Smith 1975   8  0.5540  0.0015  0.099  0.4553  0.054  0.15
Szpilman 1948   5  0.5718  0.0113  0.117  0.4858  0.0410  0.14
Uninsky 1971   41  0.4053  0.0037  0.0733  0.0747  0.0635  0.06
Wasowski 1980   37  0.4320  0.0136  0.0642  0.0637  0.0634  0.06
Weissenberg 1971   48  0.3810  0.0249  0.0455  0.0457  0.0455  0.04
Random 1    64  -0.1742  0.0064  0.0264  0.0214  0.2731  0.07
Random 2   63  -0.0643  0.0063  0.0462  0.0464  0.0264  0.03
Random 3   65  -0.1934  0.0065  0.0265  0.0265  0.0265  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).