Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   59  0.2763  0.0054  0.0459  0.0452  0.0556  0.04
Ashkenazy 1981   2  0.452  0.162  0.202  0.6212  0.551  0.58
Beliavsky 2004   58  0.2727  0.0058  0.0549  0.0532  0.1138  0.07
BenOr 1989   23  0.3931  0.0025  0.0921  0.3637  0.0924  0.18
Biret 1990   18  0.3915  0.0127  0.0826  0.2744  0.0631  0.13
Blet 2003   26  0.3714  0.0112  0.1214  0.4532  0.1416  0.25
Block 1995   54  0.2917  0.0151  0.0460  0.0457  0.0457  0.04
Brailowsky 1960   33  0.3630  0.0030  0.0730  0.1839  0.0928  0.13
Chiu 1999   44  0.3220  0.0044  0.0543  0.0548  0.0547  0.05
Clidat 1994   15  0.4022  0.0021  0.0827  0.2526  0.2317  0.24
Cohen 1997   62  0.2054  0.0061  0.0461  0.0449  0.0559  0.04
Coop 1987   4  0.4416  0.0113  0.169  0.5140  0.0722  0.19
Cortot 1951   60  0.2451  0.0062  0.0544  0.0549  0.0653  0.05
Czerny 1949   46  0.3135  0.0040  0.0641  0.0639  0.0840  0.07
Czerny 1949b   51  0.3048  0.0039  0.0553  0.0535  0.0842  0.06
Ezaki 2006   20  0.397  0.0420  0.1020  0.3729  0.339  0.35
Falvay 1989   28  0.3740  0.0022  0.0923  0.3537  0.0725  0.16
Ferenczy 1958   32  0.3639  0.0011  0.1113  0.4630  0.2711  0.35
Fiorentino 1962   27  0.375  0.087  0.1118  0.4229  0.2912  0.35
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   34  0.3519  0.0136  0.0735  0.0737  0.0837  0.07
Francois 1956   45  0.3243  0.0052  0.0458  0.0441  0.0654  0.05
Hatto 1997   31  0.3638  0.0028  0.0928  0.2533  0.1323  0.18
Horowitz 1971   42  0.3356  0.0047  0.0545  0.0559  0.0461  0.04
Horowitz 1985   57  0.2764  0.0053  0.0362  0.0338  0.0845  0.05
Indjic 2001   35  0.3552  0.0029  0.0929  0.2033  0.1126  0.15
Kapell 1951   5  0.433  0.163  0.177  0.5319  0.434  0.48
Kiepura 1999   3  0.4425  0.0014  0.118  0.5127  0.1913  0.31
Kilenyi 1937   37  0.3536  0.0031  0.0831  0.1733  0.1030  0.13
Kissin 1993   39  0.3326  0.0050  0.0546  0.0536  0.1039  0.07
Kitain 1937   61  0.2259  0.0060  0.0457  0.0454  0.0460  0.04
Kushner 1990   22  0.3941  0.0024  0.0925  0.3043  0.0629  0.13
Levy 1951   43  0.3223  0.0041  0.0552  0.0552  0.0548  0.05
Luisada 1990   56  0.2749  0.0059  0.0637  0.0648  0.0643  0.06
Lushtak 2004   24  0.3842  0.0032  0.0732  0.1439  0.0834  0.11
Lympany 1968   29  0.3755  0.0033  0.0834  0.0834  0.0936  0.08
Magaloff 1977   53  0.2953  0.0055  0.0455  0.0455  0.0455  0.04
Magaloff 1977b   49  0.3145  0.0049  0.0551  0.0536  0.0652  0.05
Magin 1975   7  0.4313  0.0119  0.1015  0.4438  0.1019  0.21
Milkina 1970   16  0.4060  0.0026  0.1124  0.3232  0.1321  0.20
Mohovich 1999   9  0.428  0.045  0.144  0.5816  0.522  0.55
Nadelmann 1956   8  0.4224  0.009  0.136  0.5436  0.0820  0.21
Ohlsson 1999   21  0.399  0.0310  0.1012  0.4721  0.278  0.36
Olejniczac 1990   19  0.3912  0.018  0.1510  0.5026  0.316  0.39
Olejniczak 1991   13  0.4044  0.0017  0.1316  0.4429  0.1914  0.29
Osinska 1989   1  0.461  0.171  0.171  0.6532  0.1910  0.35
Paderewski 1912   55  0.2862  0.0057  0.0550  0.0543  0.0651  0.05
Perahia 1994   36  0.3565  0.0037  0.0640  0.0646  0.0644  0.06
Perlemuter 1986   6  0.434  0.114  0.183  0.5922  0.305  0.42
Poblocka 1999   50  0.3032  0.0046  0.0548  0.0550  0.0546  0.05
Rangell 2001   52  0.2950  0.0056  0.0456  0.0444  0.0562  0.04
Risler 1920   40  0.3347  0.0043  0.0547  0.0536  0.0741  0.06
Rosen 1989   47  0.3129  0.0038  0.0638  0.0631  0.3427  0.14
Rubinstein 1939   38  0.3546  0.0042  0.0454  0.0435  0.0750  0.05
Rubinstein 1952   10  0.4234  0.0015  0.1017  0.4432  0.1218  0.23
Rubinstein 1966   30  0.3728  0.0023  0.0722  0.3556  0.0432  0.12
Rummel 1943   41  0.3333  0.0048  0.0542  0.0549  0.0458  0.04
Shebanova 2002   11  0.416  0.056  0.195  0.5730  0.257  0.38
Smith 1975   48  0.3137  0.0045  0.0639  0.0659  0.0449  0.05
Szpilman 1948   14  0.4021  0.0016  0.1111  0.4918  0.503  0.49
Uninsky 1971   17  0.4010  0.0334  0.0736  0.0729  0.1733  0.11
Wasowski 1980   25  0.3818  0.0135  0.0933  0.0936  0.0935  0.09
Weissenberg 1971   12  0.4111  0.0118  0.1019  0.4227  0.1915  0.28
Random 1    63  0.0158  0.0063  0.0263  0.0242  0.0463  0.03
Random 2   65  -0.0961  0.0064  0.0264  0.0256  0.0364  0.02
Random 3   64  -0.0357  0.0065  0.0265  0.0261  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).