Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.6544  0.0041  0.0546  0.0529  0.1646  0.09
Ashkenazy 1981   31  0.6954  0.0037  0.0642  0.0644  0.0757  0.06
Beliavsky 2004   41  0.667  0.0132  0.0732  0.137  0.4726  0.25
BenOr 1989   2  0.7813  0.003  0.273  0.7821  0.388  0.54
Biret 1990   27  0.7021  0.0027  0.1626  0.4138  0.0831  0.18
Blet 2003   33  0.696  0.0130  0.1528  0.3018  0.3522  0.32
Block 1995   44  0.6651  0.0051  0.0455  0.0437  0.0855  0.06
Brailowsky 1960   53  0.6332  0.0057  0.0640  0.0631  0.2837  0.13
Chiu 1999   54  0.6359  0.0050  0.0458  0.0446  0.0659  0.05
Clidat 1994   34  0.6816  0.0033  0.0636  0.0641  0.0654  0.06
Cohen 1997   62  0.5535  0.0046  0.0364  0.0317  0.3344  0.10
Coop 1987   19  0.7125  0.0014  0.1321  0.5041  0.0927  0.21
Cortot 1951   59  0.6058  0.0061  0.0362  0.0349  0.0565  0.04
Czerny 1949   36  0.6829  0.0035  0.0545  0.0542  0.0752  0.06
Czerny 1949b   50  0.6462  0.0053  0.0549  0.0548  0.0661  0.05
Ezaki 2006   12  0.7246  0.0025  0.1224  0.4541  0.0929  0.20
Falvay 1989   25  0.7055  0.0029  0.1129  0.2839  0.0932  0.16
Ferenczy 1958   55  0.6330  0.0056  0.0551  0.0523  0.3138  0.12
Fiorentino 1962   15  0.7222  0.0019  0.1415  0.5428  0.2321  0.35
Fliere 1977   20  0.7131  0.0020  0.1218  0.5231  0.1823  0.31
Fou 1978   45  0.6624  0.0036  0.0543  0.0546  0.0749  0.06
Francois 1956   56  0.6215  0.0059  0.0548  0.0513  0.5433  0.16
Hatto 1997   40  0.6652  0.0038  0.0638  0.0621  0.3634  0.15
Horowitz 1971   38  0.6712  0.0031  0.0831  0.1511  0.5225  0.28
Horowitz 1985   61  0.5640  0.0060  0.0454  0.0423  0.2839  0.11
Indjic 2001   30  0.7047  0.0026  0.1327  0.3714  0.4816  0.42
Kapell 1951   5  0.7320  0.007  0.169  0.5923  0.3415  0.45
Kiepura 1999   49  0.6560  0.0058  0.0453  0.0447  0.0564  0.04
Kilenyi 1937   28  0.7036  0.0022  0.1025  0.4235  0.1128  0.21
Kissin 1993   16  0.7241  0.006  0.1310  0.5746  0.0730  0.20
Kitain 1937   63  0.4526  0.0063  0.0641  0.0617  0.3835  0.15
Kushner 1990   11  0.7218  0.009  0.136  0.664  0.762  0.71
Levy 1951   52  0.6445  0.0047  0.0550  0.0556  0.0560  0.05
Luisada 1990   29  0.7053  0.0042  0.0544  0.0537  0.1048  0.07
Lushtak 2004   37  0.6750  0.0040  0.0552  0.0547  0.0662  0.05
Lympany 1968   18  0.7119  0.0021  0.1314  0.554  0.697  0.62
Magaloff 1977   39  0.6757  0.0044  0.0637  0.0650  0.0653  0.06
Magaloff 1977b   42  0.6656  0.0045  0.0547  0.0548  0.0756  0.06
Magin 1975   32  0.6923  0.0043  0.0733  0.0734  0.1245  0.09
Milkina 1970   4  0.744  0.0110  0.134  0.755  0.681  0.71
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Nadelmann 1956   17  0.725  0.018  0.155  0.713  0.643  0.67
Ohlsson 1999   46  0.6628  0.0052  0.0639  0.0650  0.0651  0.06
Olejniczac 1990   6  0.739  0.0115  0.148  0.6125  0.3712  0.48
Olejniczak 1991   9  0.7333  0.0011  0.1113  0.5524  0.4211  0.48
Osinska 1989   3  0.7811  0.002  0.422  0.8117  0.505  0.64
Paderewski 1912   47  0.6537  0.0039  0.0735  0.0731  0.1642  0.11
Perahia 1994   24  0.702  0.0212  0.1216  0.532  0.776  0.64
Perlemuter 1986   26  0.7017  0.0028  0.1030  0.2512  0.5420  0.37
Poblocka 1999   7  0.7338  0.0023  0.1320  0.5135  0.1624  0.29
Rangell 2001   23  0.7043  0.0017  0.1322  0.4822  0.3617  0.42
Risler 1920   57  0.6249  0.0049  0.0459  0.0427  0.2940  0.11
Rosen 1989   60  0.5965  0.0062  0.0461  0.0444  0.0663  0.05
Rubinstein 1939   58  0.6161  0.0055  0.0456  0.0413  0.4636  0.14
Rubinstein 1952   8  0.7314  0.0013  0.1117  0.5312  0.539  0.53
Rubinstein 1966   13  0.728  0.0116  0.137  0.647  0.704  0.67
Rummel 1943   51  0.6439  0.0054  0.0460  0.0426  0.2543  0.10
Shebanova 2002   14  0.723  0.014  0.1611  0.5711  0.4810  0.52
Smith 1975   21  0.7142  0.0018  0.1519  0.5225  0.2918  0.39
Szpilman 1948   22  0.7010  0.0124  0.1123  0.4722  0.4514  0.46
Uninsky 1971   43  0.6627  0.0034  0.0734  0.0734  0.0747  0.07
Wasowski 1980   35  0.6848  0.0048  0.0457  0.0438  0.0758  0.05
Weissenberg 1971   10  0.7334  0.005  0.1312  0.5530  0.2719  0.39
Average   1  0.831  0.851  0.831  0.9429  0.2413  0.47
Random 1    65  -0.0166  0.0065  0.0265  0.0222  0.1950  0.06
Random 2   64  0.0363  0.0064  0.0363  0.0310  0.4341  0.11
Random 3   66  -0.0464  0.0066  0.0166  0.0142  0.0466  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).