Vardi 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   22  0.7721  0.0118  0.0917  0.3635  0.0730  0.16
Ax 1995   10  0.8118  0.0114  0.125  0.5825  0.309  0.42
Bacha 1998   52  0.6553  0.0057  0.0546  0.0537  0.0741  0.06
Barbosa 1983   55  0.6316  0.0117  0.0920  0.3421  0.3914  0.36
BenOr 1989   60  0.5513  0.0249  0.0553  0.0540  0.0657  0.05
Biret 1990   31  0.7536  0.0042  0.0542  0.0534  0.0844  0.06
Brailowsky 1960   51  0.6532  0.0054  0.0462  0.0449  0.0560  0.04
Chiu 1999   24  0.7637  0.0031  0.0831  0.1819  0.4321  0.28
Clidat 1994   13  0.7933  0.0012  0.138  0.5522  0.3110  0.41
Cohen 1997   58  0.5862  0.0061  0.0637  0.0626  0.2237  0.11
Cortot 1951   64  0.3045  0.0064  0.0545  0.0538  0.0659  0.05
Csalog 1996   37  0.7315  0.0136  0.0550  0.0531  0.1839  0.09
Czerny 1989   20  0.7742  0.0029  0.0726  0.2323  0.2426  0.23
Ezaki 2006   14  0.7951  0.0026  0.0823  0.2541  0.0733  0.13
Falvay 1989   11  0.808  0.0315  0.1212  0.4624  0.2716  0.35
Fiorentino 1962   6  0.8224  0.0010  0.189  0.5018  0.436  0.46
Fliere 1977   23  0.7663  0.0030  0.0924  0.2542  0.0734  0.13
Fou 1978   9  0.816  0.033  0.116  0.5715  0.454  0.51
Francois 1956   35  0.7455  0.0032  0.0832  0.1513  0.5122  0.28
Goldenweiser 1946   62  0.5256  0.0063  0.0641  0.0641  0.0547  0.05
Gornostaeva 1994   63  0.5159  0.0056  0.0461  0.0435  0.0756  0.05
Groot 1988   5  0.825  0.056  0.1214  0.435  0.438  0.43
Hatto 1993   26  0.7646  0.0038  0.0639  0.0643  0.0558  0.05
Hatto 1997   28  0.7648  0.0041  0.0735  0.0735  0.0840  0.07
Horszowski 1983   43  0.6731  0.0051  0.0459  0.0442  0.0646  0.05
Indjic 2001   25  0.7629  0.0039  0.0552  0.0547  0.0555  0.05
Katin 1996   3  0.849  0.034  0.133  0.6010  0.561  0.58
Kiepura 1999   56  0.632  0.1013  0.1130  0.1911  0.3823  0.27
Korecka 1992   61  0.5461  0.0062  0.0457  0.0442  0.0650  0.05
Kushner 1990   59  0.5741  0.0047  0.0549  0.0544  0.0462  0.04
Lilamand 2001   46  0.6630  0.0050  0.0548  0.0550  0.0553  0.05
Luisada 1990   48  0.6552  0.0052  0.0464  0.0463  0.0464  0.04
Luisada 2008   53  0.6440  0.0053  0.0458  0.0438  0.0563  0.04
Lushtak 2004   41  0.7149  0.0037  0.0455  0.0451  0.0565  0.04
Malcuzynski 1951   42  0.7057  0.0044  0.0734  0.0742  0.0545  0.06
Malcuzynski 1961   57  0.6234  0.0046  0.0640  0.0651  0.0551  0.05
Magaloff 1977   40  0.7165  0.0034  0.0636  0.0619  0.3531  0.14
Magin 1975   54  0.6338  0.0059  0.0460  0.0435  0.0649  0.05
Meguri 1997   32  0.7512  0.0216  0.1127  0.228  0.3720  0.29
Milkina 1970   7  0.827  0.038  0.114  0.6015  0.493  0.54
Mohovich 1999   16  0.7854  0.0019  0.0816  0.3850  0.0532  0.14
Nezu 2005   27  0.764  0.055  0.1310  0.4824  0.2813  0.37
Ohlsson 1999   29  0.7622  0.0121  0.0828  0.2028  0.2128  0.20
Olejniczak 1990   36  0.7319  0.0127  0.0729  0.2016  0.3624  0.27
Osinska 1989   19  0.7710  0.037  0.1111  0.4829  0.2218  0.32
Perlemuter 1992   50  0.6558  0.0060  0.0544  0.0545  0.0548  0.05
Poblocka 1999   12  0.8035  0.0024  0.0818  0.3634  0.0829  0.17
Rangell 2001   21  0.7744  0.0040  0.0551  0.0535  0.0743  0.06
Richter 1960   39  0.7250  0.0033  0.0733  0.1419  0.3427  0.22
Richter 1961   33  0.7525  0.0023  0.0819  0.3523  0.2619  0.30
Rosen 1989   38  0.7327  0.0035  0.0456  0.0422  0.2936  0.11
Rubinstein 1939   8  0.8211  0.039  0.137  0.5715  0.512  0.54
Rubinstein 1952   30  0.7520  0.0128  0.0821  0.3119  0.4115  0.36
Rubinstein 1966   15  0.7847  0.0020  0.0815  0.4019  0.4011  0.40
Rudanovskaya 2007   17  0.7828  0.0022  0.0922  0.298  0.5512  0.40
Shebanova 2002   4  0.8226  0.0011  0.1413  0.4621  0.2717  0.35
Smith 1975   47  0.6664  0.0055  0.0463  0.0448  0.0561  0.04
Sztompka 1959   49  0.6514  0.0258  0.0554  0.0541  0.0552  0.05
Tanyel 1992   44  0.6717  0.0148  0.0543  0.0545  0.0554  0.05
Tsujii 2005   2  0.863  0.102  0.242  0.6519  0.345  0.47
Uninsky 1959   34  0.7443  0.0043  0.0638  0.0635  0.0742  0.06
Vardi 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   45  0.6723  0.0045  0.0547  0.0521  0.2735  0.12
Zimerman 1975   18  0.7739  0.0025  0.0725  0.2425  0.2825  0.26
Average   1  0.871  0.341  0.331  0.7026  0.287  0.44
Random 1   65  -0.0260  0.0065  0.0265  0.024  0.5138  0.10
Random 2   66  -0.0567  0.0066  0.0266  0.0244  0.0466  0.03
Random 3   67  -0.1566  0.0067  0.0167  0.0135  0.0767  0.03

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).