Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.2764  0.0055  0.0460  0.0453  0.0557  0.04
Ashkenazy 1981   3  0.4512  0.013  0.203  0.6212  0.551  0.58
Beliavsky 2004   59  0.2725  0.0059  0.0550  0.0534  0.1138  0.07
BenOr 1989   24  0.3933  0.0026  0.0923  0.3438  0.0923  0.17
Biret 1990   19  0.3911  0.0128  0.0827  0.2544  0.0631  0.12
Blet 2003   27  0.3715  0.0113  0.1116  0.4437  0.0721  0.18
Block 1995   55  0.2926  0.0052  0.0461  0.0458  0.0458  0.04
Brailowsky 1960   34  0.3627  0.0031  0.0731  0.1640  0.0929  0.12
Chiu 1999   45  0.3219  0.0045  0.0544  0.0549  0.0547  0.05
Clidat 1994   16  0.4016  0.0022  0.0829  0.2327  0.1918  0.21
Cohen 1997   63  0.2054  0.0062  0.0462  0.0450  0.0560  0.04
Coop 1987   5  0.4420  0.0014  0.1610  0.5041  0.0720  0.19
Cortot 1951   61  0.2452  0.0063  0.0545  0.0550  0.0554  0.05
Czerny 1949   47  0.3138  0.0041  0.0542  0.0539  0.0843  0.06
Czerny 1949b   52  0.3046  0.0040  0.0454  0.0436  0.0842  0.06
Ezaki 2006   21  0.397  0.0221  0.1021  0.3630  0.329  0.34
Falvay 1989   29  0.3751  0.0023  0.0922  0.3437  0.0725  0.15
Ferenczy 1958   33  0.3644  0.0012  0.1014  0.4531  0.2410  0.33
Fiorentino 1962   28  0.372  0.058  0.1118  0.4230  0.2313  0.31
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   35  0.3514  0.0137  0.0736  0.0738  0.0837  0.07
Francois 1956   46  0.3240  0.0053  0.0459  0.0442  0.0655  0.05
Hatto 1997   32  0.3637  0.0029  0.0928  0.2333  0.1222  0.17
Horowitz 1971   43  0.3356  0.0048  0.0546  0.0560  0.0462  0.04
Horowitz 1985   58  0.2765  0.0054  0.0363  0.0338  0.0845  0.05
Indjic 2001   36  0.3559  0.0030  0.0930  0.1933  0.1027  0.14
Kapell 1951   6  0.433  0.024  0.178  0.5218  0.414  0.46
Kiepura 1999   4  0.4424  0.0015  0.119  0.5027  0.1912  0.31
Kilenyi 1937   38  0.3536  0.0032  0.0832  0.1533  0.0930  0.12
Kissin 1993   40  0.3330  0.0051  0.0547  0.0536  0.1039  0.07
Kitain 1937   62  0.2260  0.0061  0.0458  0.0455  0.0461  0.04
Kushner 1990   23  0.3941  0.0025  0.0926  0.2944  0.0628  0.13
Levy 1951   44  0.3222  0.0042  0.0553  0.0553  0.0548  0.05
Luisada 1990   57  0.2748  0.0060  0.0638  0.0649  0.0552  0.05
Lushtak 2004   25  0.3839  0.0033  0.0735  0.0740  0.0840  0.07
Lympany 1968   30  0.3755  0.0034  0.0834  0.0834  0.0936  0.08
Magaloff 1977   54  0.2953  0.0056  0.0456  0.0456  0.0456  0.04
Magaloff 1977b   50  0.3142  0.0050  0.0552  0.0537  0.0653  0.05
Magin 1975   8  0.4321  0.0020  0.1019  0.4238  0.0919  0.19
Milkina 1970   17  0.4063  0.0027  0.1125  0.2939  0.0726  0.14
Mohovich 1999   10  0.425  0.026  0.145  0.5717  0.522  0.54
Nadelmann 1956   9  0.4229  0.0010  0.137  0.5336  0.0817  0.21
Ohlsson 1999   22  0.399  0.0111  0.1013  0.4722  0.267  0.35
Olejniczac 1990   20  0.3918  0.009  0.1411  0.4927  0.296  0.38
Olejniczak 1991   14  0.4045  0.0018  0.1317  0.4331  0.1516  0.25
Osinska 1989   2  0.468  0.012  0.172  0.6532  0.1611  0.32
Paderewski 1912   56  0.2862  0.0058  0.0551  0.0544  0.0651  0.05
Perahia 1994   37  0.3566  0.0038  0.0641  0.0647  0.0644  0.06
Perlemuter 1986   7  0.436  0.025  0.174  0.5823  0.285  0.40
Poblocka 1999   51  0.3032  0.0047  0.0549  0.0551  0.0546  0.05
Rangell 2001   53  0.2950  0.0057  0.0457  0.0445  0.0563  0.04
Risler 1920   41  0.3347  0.0044  0.0548  0.0536  0.0741  0.06
Rosen 1989   48  0.3134  0.0039  0.0639  0.0632  0.2134  0.11
Rubinstein 1939   39  0.3549  0.0043  0.0455  0.0436  0.0750  0.05
Rubinstein 1952   11  0.4243  0.0016  0.1015  0.4433  0.0624  0.16
Rubinstein 1966   31  0.3728  0.0024  0.0724  0.3357  0.0433  0.11
Rummel 1943   42  0.3331  0.0049  0.0543  0.0550  0.0459  0.04
Shebanova 2002   12  0.4123  0.007  0.196  0.5731  0.218  0.35
Smith 1975   49  0.3135  0.0046  0.0640  0.0660  0.0449  0.05
Szpilman 1948   15  0.4017  0.0017  0.1112  0.4719  0.483  0.47
Uninsky 1971   18  0.404  0.0235  0.0737  0.0730  0.1732  0.11
Wasowski 1980   26  0.3813  0.0136  0.0933  0.0936  0.0935  0.09
Weissenberg 1971   13  0.4110  0.0119  0.1020  0.4128  0.1815  0.27
Average   1  0.591  0.721  0.711  0.8536  0.0914  0.28
Random 1    64  0.0158  0.0064  0.0264  0.0237  0.0564  0.03
Random 2   66  -0.0961  0.0065  0.0265  0.0257  0.0365  0.02
Random 3   65  -0.0357  0.0066  0.0166  0.0162  0.0266  0.01

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).