Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.6813  0.0036  0.0842  0.0815  0.4034  0.18
Ashkenazy 1981   8  0.7663  0.0013  0.139  0.5120  0.459  0.48
Beliavsky 2004   34  0.6937  0.0032  0.1232  0.239  0.4129  0.31
BenOr 1989   6  0.772  0.004  0.195  0.5524  0.3118  0.41
Biret 1990   27  0.7217  0.0026  0.0920  0.4022  0.3722  0.38
Blet 2003   48  0.655  0.0049  0.0937  0.0939  0.0849  0.08
Block 1995   23  0.7319  0.0028  0.0829  0.2922  0.4028  0.34
Brailowsky 1960   54  0.613  0.0055  0.0459  0.0435  0.1052  0.06
Chiu 1999   16  0.7528  0.0014  0.1218  0.4521  0.4813  0.46
Clidat 1994   33  0.6916  0.0040  0.0651  0.0636  0.0655  0.06
Cohen 1997   59  0.5643  0.0062  0.0654  0.0626  0.2042  0.11
Coop 1987   9  0.7638  0.0010  0.2011  0.4825  0.4116  0.44
Cortot 1951   50  0.6449  0.0054  0.0648  0.0628  0.2540  0.12
Czerny 1949   35  0.6918  0.0030  0.1031  0.2435  0.1135  0.16
Czerny 1949b   28  0.7129  0.0022  0.0827  0.3219  0.4323  0.37
Ezaki 2006   4  0.7812  0.009  0.2010  0.4921  0.4311  0.46
Falvay 1989   24  0.7210  0.0031  0.0930  0.2833  0.1233  0.18
Ferenczy 1958   56  0.5953  0.0058  0.0558  0.0539  0.0754  0.06
Fiorentino 1962   22  0.7365  0.0027  0.0922  0.3529  0.2230  0.28
Fliere 1977   21  0.7341  0.0021  0.0815  0.4625  0.3917  0.42
Fou 1978   11  0.7634  0.0011  0.1513  0.4819  0.4514  0.46
Francois 1956   62  0.5547  0.0061  0.0557  0.0530  0.1546  0.09
Hatto 1997   44  0.6744  0.0045  0.0936  0.0928  0.2436  0.15
Horowitz 1971   52  0.637  0.0053  0.0744  0.0736  0.0751  0.07
Horowitz 1985   60  0.5645  0.0060  0.0460  0.0445  0.0658  0.05
Indjic 2001   39  0.6826  0.0041  0.0649  0.0628  0.2241  0.11
Kapell 1951   18  0.744  0.0018  0.1017  0.4526  0.3024  0.37
Kiepura 1999   38  0.698  0.0044  0.0841  0.0821  0.4531  0.19
Kilenyi 1937   17  0.7435  0.007  0.178  0.5120  0.505  0.50
Kissin 1993   5  0.7732  0.006  0.194  0.5824  0.3615  0.46
Kitain 1937   63  0.4230  0.0063  0.0653  0.0654  0.0461  0.05
Kushner 1990   51  0.6425  0.0050  0.0840  0.0837  0.0948  0.08
Levy 1951   40  0.6821  0.0035  0.1035  0.1021  0.3732  0.19
Luisada 1990   15  0.756  0.0017  0.1314  0.4814  0.517  0.49
Lushtak 2004   45  0.6742  0.0047  0.1033  0.1039  0.0844  0.09
Lympany 1968   55  0.6056  0.0057  0.0363  0.0350  0.0562  0.04
Magaloff 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1977b   1  0.981  0.991  0.981  1.001  0.991  0.99
Magin 1975   12  0.7560  0.0016  0.1412  0.4827  0.498  0.48
Milkina 1970   36  0.699  0.0046  0.0745  0.0747  0.0653  0.06
Mohovich 1999   46  0.6750  0.0042  0.0650  0.0637  0.0656  0.06
Nadelmann 1956   47  0.6654  0.0043  0.0743  0.0733  0.0850  0.07
Ohlsson 1999   29  0.7011  0.0033  0.0838  0.0827  0.2537  0.14
Olejniczac 1990   20  0.7364  0.0025  0.1023  0.3529  0.3527  0.35
Olejniczak 1991   19  0.7448  0.0020  0.0826  0.3326  0.3826  0.35
Osinska 1989   3  0.7955  0.003  0.403  0.7723  0.462  0.60
Paderewski 1912   31  0.7057  0.0029  0.0828  0.309  0.4625  0.37
Perahia 1994   61  0.5523  0.0056  0.0461  0.0456  0.0564  0.04
Perlemuter 1986   57  0.5951  0.0059  0.0462  0.0438  0.0660  0.05
Poblocka 1999   7  0.7739  0.008  0.216  0.5418  0.464  0.50
Rangell 2001   13  0.7561  0.0015  0.1324  0.3519  0.4221  0.38
Risler 1920   37  0.6936  0.0024  0.1021  0.398  0.5512  0.46
Rosen 1989   49  0.6514  0.0051  0.0555  0.0529  0.1645  0.09
Rubinstein 1939   58  0.5858  0.0052  0.0556  0.0554  0.0463  0.04
Rubinstein 1952   30  0.7015  0.0039  0.0746  0.0745  0.0557  0.06
Rubinstein 1966   43  0.6831  0.0038  0.0652  0.0628  0.1743  0.10
Rummel 1943   53  0.6324  0.0048  0.0747  0.0720  0.3038  0.14
Shebanova 2002   32  0.7040  0.0034  0.0839  0.0827  0.1739  0.12
Smith 1975   26  0.7220  0.0023  0.1019  0.4419  0.3420  0.39
Szpilman 1948   42  0.6862  0.0037  0.1034  0.1045  0.0647  0.08
Uninsky 1971   14  0.7552  0.0012  0.1316  0.4611  0.4910  0.47
Wasowski 1980   25  0.7227  0.0019  0.0925  0.3414  0.4519  0.39
Weissenberg 1971   10  0.7633  0.005  0.147  0.5316  0.466  0.49
Average   2  0.8522  0.002  0.842  0.9222  0.383  0.59
Random 1    65  -0.0459  0.0065  0.0265  0.0226  0.1459  0.05
Random 2   64  0.0146  0.0064  0.0364  0.0345  0.0465  0.03
Random 3   66  -0.0466  0.0066  0.0166  0.0148  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).