Beliavsky 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.6649  0.0022  0.0819  0.2826  0.2210  0.25
Ashkenazy 1981   24  0.6619  0.0131  0.0830  0.1845  0.0732  0.11
Beliavsky 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
BenOr 1989   14  0.6847  0.0016  0.0917  0.3259  0.0433  0.11
Biret 1990   30  0.6418  0.0124  0.0723  0.2639  0.0825  0.14
Blet 2003   51  0.6155  0.0048  0.0543  0.0554  0.0460  0.04
Block 1995   27  0.6550  0.0033  0.0546  0.0549  0.0655  0.05
Brailowsky 1960   55  0.5648  0.0059  0.0460  0.0453  0.0559  0.04
Chiu 1999   11  0.6934  0.007  0.149  0.4437  0.1014  0.21
Clidat 1994   2  0.725  0.053  0.272  0.628  0.511  0.56
Cohen 1997   58  0.5559  0.0055  0.0459  0.0413  0.3929  0.12
Coop 1987   7  0.6939  0.009  0.1214  0.3747  0.0621  0.15
Cortot 1951   41  0.6241  0.0050  0.0454  0.0431  0.2235  0.09
Czerny 1949   5  0.7114  0.018  0.165  0.5334  0.129  0.25
Czerny 1949b   26  0.6527  0.0034  0.0735  0.0746  0.0738  0.07
Ezaki 2006   10  0.6952  0.0017  0.0922  0.2644  0.0919  0.15
Falvay 1989   12  0.6832  0.0013  0.1011  0.3842  0.0815  0.17
Ferenczy 1958   60  0.5445  0.0062  0.0639  0.0654  0.0553  0.05
Fiorentino 1962   36  0.6365  0.0041  0.1033  0.1053  0.0540  0.07
Fliere 1977   13  0.6837  0.0010  0.117  0.4552  0.0617  0.16
Fou 1978   20  0.6640  0.0023  0.0921  0.2638  0.0920  0.15
Francois 1956   59  0.5451  0.0061  0.0551  0.0540  0.0658  0.05
Hatto 1997   43  0.6230  0.0045  0.0545  0.0551  0.0652  0.05
Horowitz 1971   54  0.5723  0.0052  0.0458  0.0453  0.0463  0.04
Horowitz 1985   61  0.5121  0.0057  0.0461  0.0435  0.0942  0.06
Indjic 2001   37  0.6335  0.0038  0.0638  0.0644  0.0648  0.06
Kapell 1951   18  0.678  0.0227  0.0818  0.3147  0.0623  0.14
Kiepura 1999   17  0.6728  0.0035  0.0736  0.0734  0.0641  0.06
Kilenyi 1937   33  0.6460  0.0025  0.0624  0.2344  0.0824  0.14
Kissin 1993   3  0.711  0.391  0.381  0.6637  0.0812  0.23
Kitain 1937   62  0.4620  0.0058  0.0362  0.0321  0.3334  0.10
Kushner 1990   38  0.6316  0.0132  0.0731  0.1439  0.0830  0.11
Levy 1951   48  0.6117  0.0142  0.0641  0.0662  0.0550  0.05
Luisada 1990   25  0.6654  0.0036  0.0734  0.0749  0.0647  0.06
Lushtak 2004   44  0.6226  0.0049  0.0457  0.0456  0.0562  0.04
Lympany 1968   46  0.6225  0.0046  0.0544  0.0557  0.0549  0.05
Magaloff 1977   8  0.6931  0.005  0.138  0.4531  0.243  0.33
Magaloff 1977b   9  0.699  0.026  0.2110  0.4230  0.235  0.31
Magin 1975   32  0.6436  0.0043  0.0548  0.0557  0.0551  0.05
Milkina 1970   16  0.6711  0.0119  0.0816  0.3424  0.304  0.32
Mohovich 1999   21  0.667  0.0312  0.106  0.4931  0.148  0.26
Nadelmann 1956   42  0.6210  0.0120  0.0927  0.2232  0.1316  0.17
Ohlsson 1999   53  0.5846  0.0054  0.0455  0.0462  0.0365  0.03
Olejniczac 1990   34  0.6462  0.0039  0.0542  0.0555  0.0554  0.05
Olejniczak 1991   31  0.6453  0.0040  0.0737  0.0746  0.0737  0.07
Osinska 1989   4  0.716  0.044  0.343  0.5842  0.0813  0.22
Paderewski 1912   28  0.6529  0.0014  0.1013  0.3731  0.1711  0.25
Perahia 1994   57  0.5624  0.0056  0.0550  0.0524  0.2531  0.11
Perlemuter 1986   50  0.6143  0.0047  0.0640  0.0639  0.0644  0.06
Poblocka 1999   15  0.6858  0.0026  0.0825  0.2348  0.0628  0.12
Rangell 2001   6  0.6915  0.0115  0.1212  0.3750  0.0622  0.15
Risler 1920   39  0.6344  0.0028  0.0720  0.2728  0.326  0.29
Rosen 1989   52  0.5956  0.0060  0.0552  0.0554  0.0557  0.05
Rubinstein 1939   45  0.623  0.1111  0.1129  0.1814  0.467  0.29
Rubinstein 1952   49  0.6142  0.0051  0.0456  0.0445  0.0564  0.04
Rubinstein 1966   47  0.6133  0.0044  0.0553  0.0532  0.0845  0.06
Rummel 1943   56  0.5657  0.0053  0.0549  0.0546  0.0556  0.05
Shebanova 2002   40  0.6322  0.0037  0.0547  0.0535  0.0846  0.06
Smith 1975   22  0.6638  0.0021  0.0815  0.3743  0.0718  0.16
Szpilman 1948   35  0.6412  0.0130  0.0828  0.2140  0.0727  0.12
Uninsky 1971   1  0.722  0.132  0.194  0.5722  0.402  0.48
Wasowski 1980   29  0.654  0.0718  0.0832  0.1253  0.0536  0.08
Weissenberg 1971   19  0.6613  0.0129  0.0726  0.2341  0.0726  0.13
Random 1    64  -0.0361  0.0064  0.0264  0.0224  0.1743  0.06
Random 2   63  -0.0164  0.0063  0.0363  0.0343  0.0561  0.04
Random 3   65  -0.0363  0.0065  0.0265  0.0221  0.2439  0.07

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).