Beliavsky 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.6434  0.009  0.108  0.5121  0.372  0.43
Ashkenazy 1981   18  0.657  0.0314  0.1119  0.3036  0.0922  0.16
Beliavsky 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
BenOr 1989   23  0.6437  0.0024  0.0924  0.2161  0.0434  0.09
Biret 1990   50  0.5722  0.0043  0.0648  0.0647  0.0560  0.05
Blet 2003   48  0.5862  0.0042  0.0746  0.0739  0.0649  0.06
Block 1995   44  0.5846  0.0049  0.0554  0.0549  0.0559  0.05
Brailowsky 1960   60  0.4556  0.0063  0.0652  0.0662  0.0454  0.05
Chiu 1999   17  0.654  0.044  0.1111  0.4637  0.0812  0.19
Clidat 1994   12  0.6716  0.0111  0.136  0.5237  0.0714  0.19
Cohen 1997   63  0.4154  0.0061  0.0649  0.0623  0.3626  0.15
Coop 1987   27  0.6436  0.0021  0.0922  0.2539  0.0730  0.13
Cortot 1951   53  0.5543  0.0057  0.0461  0.0427  0.2533  0.10
Czerny 1949   6  0.6925  0.0015  0.0916  0.3835  0.0721  0.16
Czerny 1949b   3  0.7112  0.025  0.124  0.5636  0.088  0.21
Ezaki 2006   21  0.6548  0.0036  0.0651  0.0644  0.0744  0.06
Falvay 1989   24  0.6432  0.0019  0.0823  0.2456  0.0531  0.11
Ferenczy 1958   61  0.4441  0.0062  0.0556  0.0554  0.0558  0.05
Fiorentino 1962   46  0.5863  0.0054  0.0747  0.0759  0.0552  0.06
Fliere 1977   8  0.6919  0.0010  0.1210  0.4852  0.0717  0.18
Fou 1978   20  0.6545  0.0035  0.0740  0.0758  0.0548  0.06
Francois 1956   28  0.6338  0.0039  0.0739  0.0737  0.0653  0.06
Hatto 1997   37  0.6024  0.0029  0.0625  0.2124  0.1813  0.19
Horowitz 1971   49  0.5726  0.0033  0.0737  0.0733  0.0940  0.08
Horowitz 1985   57  0.5217  0.0151  0.0555  0.0525  0.3428  0.13
Indjic 2001   38  0.6023  0.0030  0.0826  0.2027  0.1915  0.19
Kapell 1951   25  0.6429  0.0038  0.1033  0.1045  0.0636  0.08
Kiepura 1999   11  0.6835  0.0023  0.1020  0.2730  0.207  0.23
Kilenyi 1937   43  0.5955  0.0047  0.0738  0.0746  0.0742  0.07
Kissin 1993   2  0.722  0.102  0.402  0.7236  0.096  0.25
Kitain 1937   62  0.435  0.0348  0.0560  0.059  0.5223  0.16
Kushner 1990   29  0.6342  0.0013  0.1117  0.3831  0.129  0.21
Levy 1951   59  0.4959  0.0060  0.0558  0.0544  0.0655  0.05
Luisada 1990   22  0.6550  0.0022  0.0821  0.2534  0.0924  0.15
Lushtak 2004   4  0.706  0.033  0.323  0.6321  0.391  0.50
Lympany 1968   32  0.6227  0.0032  0.0827  0.1531  0.1427  0.14
Magaloff 1977   16  0.6613  0.0120  0.0818  0.3635  0.0820  0.17
Magaloff 1977b   15  0.6614  0.0118  0.0913  0.4234  0.0916  0.19
Magin 1975   35  0.6144  0.0052  0.0462  0.0457  0.0563  0.04
Milkina 1970   7  0.698  0.0312  0.1212  0.4424  0.324  0.38
Mohovich 1999   36  0.6058  0.0031  0.0729  0.1452  0.0538  0.08
Nadelmann 1956   54  0.5515  0.0128  0.0628  0.1560  0.0437  0.08
Ohlsson 1999   52  0.5647  0.0050  0.0553  0.0556  0.0556  0.05
Olejniczac 1990   47  0.5865  0.0055  0.0742  0.0750  0.0650  0.06
Olejniczak 1991   51  0.5666  0.0056  0.0744  0.0755  0.0647  0.06
Osinska 1989   13  0.6752  0.0016  0.0814  0.4162  0.0429  0.13
Paderewski 1912   9  0.6821  0.006  0.149  0.4916  0.313  0.39
Perahia 1994   56  0.5420  0.0046  0.0836  0.0825  0.2925  0.15
Perlemuter 1986   10  0.6831  0.007  0.147  0.5249  0.0618  0.18
Poblocka 1999   42  0.5939  0.0053  0.0559  0.0560  0.0462  0.04
Rangell 2001   19  0.6533  0.0037  0.0835  0.0843  0.0643  0.07
Risler 1920   34  0.6128  0.0034  0.0745  0.0747  0.0645  0.06
Rosen 1989   55  0.5451  0.0058  0.0557  0.0544  0.0751  0.06
Rubinstein 1939   45  0.589  0.0326  0.0732  0.1119  0.3710  0.20
Rubinstein 1952   33  0.6230  0.0041  0.0650  0.0639  0.0561  0.05
Rubinstein 1966   39  0.6057  0.0040  0.0741  0.0759  0.0457  0.05
Rummel 1943   58  0.5060  0.0059  0.0463  0.0460  0.0365  0.03
Shebanova 2002   14  0.6611  0.0217  0.0815  0.3940  0.0719  0.17
Smith 1975   40  0.6049  0.0044  0.0743  0.0753  0.0546  0.06
Szpilman 1948   30  0.6264  0.0027  0.0630  0.1341  0.0732  0.10
Uninsky 1971   5  0.7010  0.028  0.185  0.5225  0.235  0.35
Wasowski 1980   31  0.623  0.0425  0.0731  0.1350  0.0535  0.08
Weissenberg 1971   41  0.6018  0.0145  0.0834  0.0845  0.0641  0.07
Average   1  0.761  0.501  0.491  0.7860  0.0511  0.20
Random 1    66  -0.0653  0.0066  0.0166  0.0160  0.0266  0.01
Random 2   64  -0.0361  0.0064  0.0364  0.0356  0.0364  0.03
Random 3   65  -0.0540  0.0065  0.0265  0.0218  0.3139  0.08

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).