Beliavsky 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.2737  0.0033  0.0555  0.0548  0.0550  0.05
Ashkenazy 1981   6  0.403  0.117  0.2012  0.5217  0.3510  0.43
Beliavsky 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
BenOr 1989   34  0.2836  0.0042  0.0936  0.0961  0.0537  0.07
Biret 1990   14  0.3729  0.0016  0.1519  0.3453  0.0526  0.13
Blet 2003   53  0.1864  0.0052  0.0651  0.0656  0.0548  0.05
Block 1995   29  0.2935  0.0035  0.0554  0.0564  0.0356  0.04
Brailowsky 1960   56  0.1262  0.0057  0.0363  0.0363  0.0358  0.03
Chiu 1999   8  0.386  0.0213  0.1311  0.5325  0.2412  0.36
Clidat 1994   17  0.3513  0.0110  0.1416  0.4329  0.1515  0.25
Cohen 1997   42  0.2454  0.0039  0.0745  0.0720  0.3122  0.15
Coop 1987   19  0.3326  0.0022  0.0720  0.3357  0.0525  0.13
Cortot 1951   18  0.3332  0.0028  0.0824  0.2014  0.5413  0.33
Czerny 1949   32  0.2820  0.0025  0.0925  0.1952  0.0528  0.10
Czerny 1949b   24  0.315  0.0419  0.1123  0.2632  0.1716  0.21
Ezaki 2006   46  0.2231  0.0047  0.0746  0.0750  0.0638  0.06
Falvay 1989   25  0.3040  0.0031  0.0632  0.1135  0.0730  0.09
Ferenczy 1958   57  0.1157  0.0060  0.0362  0.0362  0.0460  0.03
Fiorentino 1962   62  0.0366  0.0062  0.0357  0.0362  0.0364  0.03
Fliere 1977   37  0.2719  0.0032  0.0634  0.1150  0.0534  0.07
Fou 1978   41  0.2447  0.0046  0.0744  0.0763  0.0346  0.05
Francois 1956   40  0.2424  0.0045  0.0553  0.0551  0.0555  0.05
Hatto 1997   9  0.388  0.0211  0.1110  0.5624  0.349  0.44
Horowitz 1971   35  0.2734  0.0026  0.0628  0.1742  0.0629  0.10
Horowitz 1985   45  0.2316  0.0140  0.0938  0.0940  0.0832  0.08
Indjic 2001   10  0.3825  0.0012  0.209  0.5722  0.425  0.49
Kapell 1951   21  0.3218  0.0023  0.0821  0.3045  0.0624  0.13
Kiepura 1999   16  0.3633  0.0018  0.1315  0.4353  0.0521  0.15
Kilenyi 1937   59  0.0958  0.0059  0.0359  0.0362  0.0461  0.03
Kissin 1993   2  0.512  0.132  0.461  0.839  0.641  0.73
Kitain 1937   30  0.2912  0.0121  0.0822  0.2721  0.3814  0.32
Kushner 1990   15  0.3751  0.0015  0.1314  0.4840  0.0719  0.18
Levy 1951   55  0.1538  0.0055  0.0841  0.0861  0.0441  0.06
Luisada 1990   52  0.1959  0.0053  0.0742  0.0759  0.0451  0.05
Lushtak 2004   1  0.521  0.501  0.492  0.798  0.622  0.70
Lympany 1968   7  0.394  0.045  0.206  0.6110  0.553  0.58
Magaloff 1977   38  0.2714  0.0143  0.1131  0.1157  0.0436  0.07
Magaloff 1977b   33  0.2828  0.0041  0.0937  0.0952  0.0442  0.06
Magin 1975   47  0.2243  0.0048  0.0743  0.0759  0.0345  0.05
Milkina 1970   3  0.4527  0.006  0.223  0.7027  0.288  0.44
Mohovich 1999   49  0.2153  0.0037  0.0652  0.0643  0.0643  0.06
Nadelmann 1956   48  0.2142  0.0038  0.0840  0.0864  0.0347  0.05
Ohlsson 1999   36  0.2744  0.0030  0.0729  0.1741  0.0627  0.10
Olejniczac 1990   63  0.0260  0.0063  0.0358  0.0363  0.0362  0.03
Olejniczak 1991   61  0.0465  0.0056  0.0361  0.0362  0.0359  0.03
Osinska 1989   43  0.2352  0.0049  0.0839  0.0854  0.0539  0.06
Paderewski 1912   22  0.3217  0.0020  0.0818  0.3632  0.1217  0.21
Perahia 1994   5  0.4210  0.014  0.195  0.6720  0.364  0.49
Perlemuter 1986   20  0.3350  0.0017  0.1117  0.4036  0.0720  0.17
Poblocka 1999   51  0.1923  0.0054  0.1133  0.1157  0.0435  0.07
Rangell 2001   11  0.3849  0.0014  0.0913  0.4920  0.457  0.47
Risler 1920   44  0.2321  0.0044  0.1035  0.1052  0.0440  0.06
Rosen 1989   60  0.0848  0.0061  0.0456  0.0461  0.0363  0.03
Rubinstein 1939   13  0.3715  0.019  0.248  0.5722  0.2511  0.38
Rubinstein 1952   27  0.3046  0.0036  0.0747  0.0754  0.0454  0.05
Rubinstein 1966   31  0.2863  0.0029  0.0630  0.1441  0.0631  0.09
Rummel 1943   54  0.1761  0.0051  0.0748  0.0764  0.0352  0.05
Shebanova 2002   23  0.3130  0.0034  0.0650  0.0660  0.0449  0.05
Smith 1975   50  0.2041  0.0050  0.0649  0.0659  0.0444  0.05
Szpilman 1948   58  0.1056  0.0058  0.0360  0.0362  0.0357  0.03
Uninsky 1971   12  0.3811  0.018  0.257  0.6023  0.376  0.47
Wasowski 1980   28  0.309  0.0124  0.0827  0.1762  0.0333  0.07
Weissenberg 1971   26  0.3022  0.0027  0.0726  0.1933  0.1123  0.14
Average   4  0.457  0.023  0.214  0.6949  0.0618  0.20
Random 1    65  -0.0445  0.0065  0.0265  0.0262  0.0265  0.02
Random 2   66  -0.0555  0.0066  0.0166  0.0141  0.0566  0.02
Random 3   64  -0.0139  0.0064  0.0264  0.0231  0.1253  0.05

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).