Beliavsky 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.6756  0.0044  0.0544  0.0536  0.0649  0.05
Ashkenazy 1981   37  0.6665  0.0043  0.0546  0.0556  0.0462  0.04
Beliavsky 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
BenOr 1989   18  0.7163  0.0026  0.0621  0.2755  0.0436  0.10
Biret 1990   15  0.7227  0.0021  0.0915  0.3435  0.0824  0.16
Blet 2003   45  0.6454  0.0049  0.0458  0.0455  0.0558  0.04
Block 1995   20  0.7135  0.0030  0.1220  0.2951  0.0530  0.12
Brailowsky 1960   31  0.6816  0.0131  0.0930  0.1915  0.3710  0.27
Chiu 1999   17  0.7225  0.0012  0.1312  0.3830  0.269  0.31
Clidat 1994   1  0.764  0.112  0.153  0.533  0.621  0.57
Cohen 1997   24  0.7012  0.0234  0.0638  0.0620  0.2729  0.13
Coop 1987   4  0.7511  0.0211  0.1210  0.4136  0.1116  0.21
Cortot 1951   25  0.6929  0.0033  0.0637  0.0626  0.1837  0.10
Czerny 1949   9  0.7320  0.0116  0.0811  0.4123  0.298  0.34
Czerny 1949b   54  0.5961  0.0056  0.0452  0.0462  0.0457  0.04
Ezaki 2006   10  0.7260  0.0024  0.0722  0.2649  0.0728  0.13
Falvay 1989   11  0.727  0.0410  0.175  0.5125  0.237  0.34
Ferenczy 1958   42  0.642  0.1213  0.1129  0.2128  0.1621  0.18
Fiorentino 1962   28  0.6949  0.0020  0.0624  0.2531  0.1419  0.19
Fliere 1977   30  0.6864  0.0035  0.0834  0.0852  0.0541  0.06
Fou 1978   32  0.6739  0.0028  0.0627  0.2335  0.1026  0.15
Francois 1956   62  0.4557  0.0061  0.0457  0.0437  0.0844  0.06
Hatto 1997   44  0.6450  0.0053  0.0451  0.0461  0.0365  0.03
Horowitz 1971   57  0.5623  0.0158  0.0453  0.0458  0.0463  0.04
Horowitz 1985   60  0.5024  0.0139  0.0641  0.0653  0.0546  0.05
Indjic 2001   36  0.6651  0.0046  0.0643  0.0661  0.0452  0.05
Kapell 1951   27  0.6919  0.0122  0.0725  0.2554  0.0532  0.11
Kiepura 1999   38  0.6615  0.0147  0.0361  0.0341  0.0654  0.04
Kilenyi 1937   23  0.7062  0.0018  0.0819  0.2934  0.1218  0.19
Kissin 1993   21  0.715  0.087  0.197  0.4832  0.1113  0.23
Kitain 1937   61  0.4814  0.0159  0.0547  0.0543  0.0653  0.05
Kushner 1990   47  0.6322  0.0148  0.0454  0.0427  0.2334  0.10
Levy 1951   8  0.739  0.049  0.172  0.5529  0.216  0.34
Luisada 1990   35  0.6653  0.0045  0.0640  0.0637  0.0742  0.06
Lushtak 2004   59  0.5352  0.0062  0.0545  0.0553  0.0550  0.05
Lympany 1968   50  0.6144  0.0055  0.0549  0.0554  0.0455  0.04
Magaloff 1977   16  0.723  0.113  0.1713  0.3730  0.1612  0.24
Magaloff 1977b   19  0.7147  0.004  0.1414  0.3532  0.1217  0.20
Magin 1975   29  0.6842  0.0042  0.0456  0.0451  0.0556  0.04
Milkina 1970   39  0.6518  0.0141  0.0642  0.0623  0.2033  0.11
Mohovich 1999   13  0.7213  0.018  0.178  0.4424  0.305  0.36
Nadelmann 1956   26  0.6932  0.0032  0.0931  0.1726  0.2020  0.18
Ohlsson 1999   52  0.6133  0.0052  0.0548  0.0544  0.0547  0.05
Olejniczac 1990   22  0.7026  0.0019  0.0617  0.3236  0.0727  0.15
Olejniczak 1991   14  0.7236  0.0025  0.0726  0.2435  0.0925  0.15
Osinska 1989   3  0.751  0.221  0.211  0.6026  0.292  0.42
Paderewski 1912   51  0.6138  0.0037  0.0933  0.0940  0.0640  0.07
Perahia 1994   56  0.5831  0.0057  0.0455  0.0459  0.0461  0.04
Perlemuter 1986   58  0.5448  0.0060  0.0736  0.0731  0.1535  0.10
Poblocka 1999   2  0.7610  0.026  0.176  0.4835  0.0915  0.21
Rangell 2001   5  0.7437  0.0015  0.0816  0.3333  0.0922  0.17
Risler 1920   43  0.6417  0.0127  0.0623  0.2610  0.494  0.36
Rosen 1989   46  0.6359  0.0050  0.0362  0.0335  0.0751  0.05
Rubinstein 1939   40  0.658  0.0414  0.1032  0.1619  0.2914  0.22
Rubinstein 1952   53  0.6045  0.0054  0.0459  0.0456  0.0564  0.04
Rubinstein 1966   49  0.6230  0.0040  0.0450  0.0433  0.0748  0.05
Rummel 1943   48  0.6343  0.0029  0.0828  0.2135  0.0731  0.12
Shebanova 2002   55  0.5934  0.0051  0.0460  0.0449  0.0559  0.04
Smith 1975   12  0.7240  0.0017  0.089  0.4331  0.1711  0.27
Szpilman 1948   41  0.6541  0.0036  0.0735  0.0734  0.0739  0.07
Uninsky 1971   6  0.746  0.055  0.134  0.5124  0.333  0.41
Wasowski 1980   34  0.6721  0.0138  0.0639  0.0650  0.0545  0.05
Weissenberg 1971   7  0.7328  0.0023  0.0618  0.3140  0.0823  0.16
Random 1    64  0.0058  0.0063  0.0263  0.0219  0.3838  0.09
Random 2   63  0.0055  0.0064  0.0264  0.0232  0.0760  0.04
Random 3   65  -0.0146  0.0065  0.0265  0.0225  0.1743  0.06

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).