Beliavsky 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.6422  0.018  0.107  0.5220  0.382  0.44
Ashkenazy 1981   17  0.655  0.0513  0.1118  0.3136  0.0921  0.17
Beliavsky 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
BenOr 1989   22  0.6439  0.0023  0.0923  0.2460  0.0433  0.10
Biret 1990   49  0.5723  0.0042  0.0747  0.0747  0.0552  0.06
Blet 2003   47  0.5862  0.0041  0.0745  0.0739  0.0648  0.06
Block 1995   43  0.5847  0.0048  0.0553  0.0548  0.0560  0.05
Brailowsky 1960   59  0.4557  0.0062  0.0651  0.0661  0.0455  0.05
Chiu 1999   16  0.657  0.043  0.1110  0.4736  0.0815  0.19
Clidat 1994   11  0.6715  0.0110  0.135  0.5237  0.0716  0.19
Cohen 1997   62  0.4154  0.0060  0.0648  0.0622  0.3827  0.15
Coop 1987   26  0.6438  0.0020  0.0920  0.2738  0.0728  0.14
Cortot 1951   52  0.5545  0.0056  0.0460  0.0430  0.2634  0.10
Czerny 1949   5  0.6928  0.0014  0.0915  0.4034  0.0719  0.17
Czerny 1949b   2  0.719  0.034  0.123  0.5735  0.0810  0.21
Ezaki 2006   20  0.6543  0.0035  0.0650  0.0643  0.0744  0.06
Falvay 1989   23  0.6433  0.0018  0.0822  0.2555  0.0532  0.11
Ferenczy 1958   60  0.4444  0.0061  0.0555  0.0553  0.0559  0.05
Fiorentino 1962   45  0.5863  0.0053  0.0746  0.0758  0.0551  0.06
Fliere 1977   7  0.6911  0.029  0.129  0.5051  0.0714  0.19
Fou 1978   19  0.6537  0.0034  0.0739  0.0757  0.0547  0.06
Francois 1956   27  0.6340  0.0038  0.0738  0.0737  0.0654  0.06
Hatto 1997   36  0.6026  0.0028  0.0624  0.2325  0.1811  0.20
Horowitz 1971   48  0.5729  0.0032  0.0729  0.1432  0.1825  0.16
Horowitz 1985   56  0.5219  0.0150  0.0554  0.0526  0.3629  0.13
Indjic 2001   37  0.6025  0.0029  0.0825  0.2226  0.1912  0.20
Kapell 1951   24  0.6427  0.0037  0.1033  0.1044  0.0636  0.08
Kiepura 1999   10  0.6835  0.0022  0.1019  0.2830  0.207  0.24
Kilenyi 1937   42  0.5956  0.0046  0.0737  0.0745  0.0742  0.07
Kissin 1993   1  0.721  0.411  0.411  0.7330  0.195  0.37
Kitain 1937   61  0.438  0.0347  0.0559  0.059  0.5224  0.16
Kushner 1990   28  0.6317  0.0112  0.1116  0.3932  0.128  0.22
Levy 1951   58  0.4959  0.0059  0.0557  0.0543  0.0656  0.05
Luisada 1990   21  0.6549  0.0021  0.0821  0.2734  0.0923  0.16
Lushtak 2004   3  0.703  0.052  0.322  0.6417  0.421  0.52
Lympany 1968   31  0.6230  0.0031  0.0826  0.1830  0.1422  0.16
Magaloff 1977   15  0.6613  0.0219  0.0817  0.3835  0.0820  0.17
Magaloff 1977b   14  0.6614  0.0117  0.1012  0.4434  0.0913  0.20
Magin 1975   34  0.6146  0.0051  0.0461  0.0456  0.0562  0.04
Milkina 1970   6  0.692  0.0811  0.1211  0.4523  0.324  0.38
Mohovich 1999   35  0.6058  0.0030  0.0730  0.1451  0.0538  0.08
Nadelmann 1956   53  0.5518  0.0127  0.0628  0.1559  0.0437  0.08
Ohlsson 1999   51  0.5648  0.0049  0.0552  0.0555  0.0557  0.05
Olejniczac 1990   46  0.5864  0.0054  0.0741  0.0749  0.0649  0.06
Olejniczak 1991   50  0.5665  0.0055  0.0743  0.0754  0.0646  0.06
Osinska 1989   12  0.6753  0.0015  0.0913  0.4361  0.0430  0.13
Paderewski 1912   8  0.6816  0.015  0.148  0.5014  0.343  0.41
Perahia 1994   55  0.5424  0.0045  0.0836  0.0824  0.3026  0.15
Perlemuter 1986   9  0.6832  0.006  0.156  0.5248  0.0617  0.18
Poblocka 1999   41  0.5941  0.0052  0.0558  0.0559  0.0461  0.04
Rangell 2001   18  0.6534  0.0036  0.0935  0.0942  0.0643  0.07
Risler 1920   33  0.6121  0.0133  0.0744  0.0746  0.0740  0.07
Rosen 1989   54  0.5452  0.0057  0.0556  0.0543  0.0750  0.06
Rubinstein 1939   44  0.5810  0.0325  0.0732  0.1117  0.399  0.21
Rubinstein 1952   32  0.6231  0.0040  0.0649  0.0639  0.0653  0.06
Rubinstein 1966   38  0.6036  0.0039  0.0740  0.0758  0.0458  0.05
Rummel 1943   57  0.5060  0.0058  0.0462  0.0459  0.0364  0.03
Shebanova 2002   13  0.6612  0.0216  0.0814  0.4139  0.0718  0.17
Smith 1975   39  0.6051  0.0043  0.0742  0.0752  0.0545  0.06
Szpilman 1948   29  0.6250  0.0026  0.0627  0.1740  0.0731  0.11
Uninsky 1971   4  0.706  0.047  0.184  0.5324  0.246  0.36
Wasowski 1980   30  0.624  0.0524  0.0731  0.1349  0.0535  0.08
Weissenberg 1971   40  0.6020  0.0144  0.0934  0.0944  0.0641  0.07
Random 1    65  -0.0655  0.0065  0.0265  0.0259  0.0265  0.02
Random 2   63  -0.0361  0.0063  0.0363  0.0355  0.0363  0.03
Random 3   64  -0.0542  0.0064  0.0264  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).