Beliavsky 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.6761  0.0045  0.0545  0.0536  0.0649  0.05
Ashkenazy 1981   38  0.6665  0.0044  0.0547  0.0557  0.0463  0.04
Beliavsky 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
BenOr 1989   19  0.7163  0.0027  0.0624  0.2456  0.0436  0.10
Biret 1990   16  0.7228  0.0022  0.0916  0.3136  0.0822  0.16
Blet 2003   46  0.6456  0.0050  0.0459  0.0456  0.0557  0.04
Block 1995   21  0.7132  0.0031  0.1221  0.2652  0.0435  0.10
Brailowsky 1960   32  0.6814  0.0132  0.0931  0.1716  0.3611  0.25
Chiu 1999   18  0.7231  0.0013  0.1313  0.3731  0.229  0.29
Clidat 1994   2  0.769  0.013  0.154  0.524  0.621  0.57
Cohen 1997   25  0.7012  0.0135  0.0639  0.0619  0.2631  0.12
Coop 1987   5  0.758  0.0212  0.1211  0.3936  0.1116  0.21
Cortot 1951   26  0.6923  0.0034  0.0638  0.0627  0.1737  0.10
Czerny 1949   10  0.7317  0.0117  0.0812  0.3923  0.287  0.33
Czerny 1949b   55  0.5962  0.0057  0.0453  0.0463  0.0456  0.04
Ezaki 2006   11  0.7259  0.0025  0.0723  0.2450  0.0629  0.12
Falvay 1989   12  0.725  0.0411  0.165  0.5026  0.236  0.34
Ferenczy 1958   43  0.642  0.1114  0.1129  0.2129  0.1618  0.18
Fiorentino 1962   29  0.6950  0.0021  0.0626  0.2232  0.1320  0.17
Fliere 1977   31  0.6866  0.0036  0.0835  0.0853  0.0542  0.06
Fou 1978   33  0.6737  0.0029  0.0627  0.2235  0.1023  0.15
Francois 1956   63  0.4557  0.0062  0.0458  0.0438  0.0844  0.06
Hatto 1997   45  0.6454  0.0054  0.0452  0.0462  0.0365  0.03
Horowitz 1971   58  0.5619  0.0159  0.0454  0.0459  0.0464  0.04
Horowitz 1985   61  0.5020  0.0140  0.0642  0.0654  0.0546  0.05
Indjic 2001   37  0.6651  0.0047  0.0544  0.0562  0.0461  0.04
Kapell 1951   28  0.6934  0.0023  0.0728  0.2155  0.0533  0.10
Kiepura 1999   39  0.6615  0.0148  0.0362  0.0342  0.0653  0.04
Kilenyi 1937   24  0.7064  0.0019  0.0820  0.2734  0.1119  0.17
Kissin 1993   22  0.7148  0.008  0.198  0.4732  0.1112  0.23
Kitain 1937   62  0.4810  0.0160  0.0548  0.0544  0.0652  0.05
Kushner 1990   48  0.6324  0.0049  0.0455  0.0428  0.2139  0.09
Levy 1951   9  0.737  0.0310  0.163  0.5431  0.188  0.31
Luisada 1990   36  0.6652  0.0046  0.0641  0.0637  0.0743  0.06
Lushtak 2004   60  0.5353  0.0063  0.0546  0.0554  0.0550  0.05
Lympany 1968   51  0.6140  0.0056  0.0450  0.0455  0.0454  0.04
Magaloff 1977   17  0.724  0.044  0.1614  0.3630  0.1513  0.23
Magaloff 1977b   20  0.7144  0.005  0.1415  0.3447  0.0627  0.14
Magin 1975   30  0.6839  0.0043  0.0457  0.0452  0.0555  0.04
Milkina 1970   40  0.6518  0.0142  0.0643  0.0624  0.2032  0.11
Mohovich 1999   14  0.7211  0.019  0.169  0.4326  0.284  0.35
Nadelmann 1956   27  0.6946  0.0033  0.0934  0.0927  0.2028  0.13
Ohlsson 1999   53  0.6127  0.0053  0.0549  0.0545  0.0547  0.05
Olejniczac 1990   23  0.7047  0.0020  0.0618  0.3037  0.0726  0.14
Olejniczak 1991   15  0.7233  0.0026  0.0725  0.2336  0.0924  0.14
Osinska 1989   4  0.753  0.092  0.212  0.6027  0.282  0.41
Paderewski 1912   52  0.6136  0.0038  0.0933  0.0941  0.0641  0.07
Perahia 1994   57  0.5826  0.0058  0.0456  0.0460  0.0460  0.04
Perlemuter 1986   59  0.5449  0.0061  0.0737  0.0732  0.1534  0.10
Poblocka 1999   3  0.7622  0.007  0.177  0.4835  0.0914  0.21
Rangell 2001   6  0.7435  0.0016  0.0717  0.3133  0.0921  0.17
Risler 1920   44  0.6416  0.0128  0.0622  0.2511  0.475  0.34
Rosen 1989   47  0.6360  0.0051  0.0363  0.0335  0.0751  0.05
Rubinstein 1939   41  0.656  0.0315  0.1032  0.1620  0.2715  0.21
Rubinstein 1952   54  0.6045  0.0055  0.0360  0.0357  0.0466  0.03
Rubinstein 1966   50  0.6225  0.0041  0.0451  0.0433  0.0748  0.05
Rummel 1943   49  0.6341  0.0030  0.0730  0.2135  0.0730  0.12
Shebanova 2002   56  0.5929  0.0052  0.0361  0.0349  0.0558  0.04
Smith 1975   13  0.7238  0.0018  0.0810  0.4129  0.1710  0.26
Szpilman 1948   42  0.6542  0.0037  0.0736  0.0735  0.0740  0.07
Uninsky 1971   7  0.7413  0.016  0.126  0.5025  0.333  0.41
Wasowski 1980   35  0.6721  0.0039  0.0640  0.0651  0.0545  0.05
Weissenberg 1971   8  0.7330  0.0024  0.0619  0.2840  0.0725  0.14
Average   1  0.811  0.481  0.481  0.6848  0.0517  0.18
Random 1    65  0.0058  0.0064  0.0264  0.0219  0.3838  0.09
Random 2   64  0.0055  0.0065  0.0265  0.0232  0.0759  0.04
Random 3   66  -0.0143  0.0066  0.0166  0.0125  0.1762  0.04

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).