Vardi 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   29  0.6364  0.0026  0.0826  0.1961  0.0431  0.09
Ax 1995   30  0.6347  0.0025  0.0725  0.2336  0.0628  0.12
Bacha 1998   22  0.678  0.0311  0.1716  0.4429  0.2010  0.30
Barbosa 1983   54  0.5610  0.0231  0.0629  0.1248  0.0633  0.08
BenOr 1989   35  0.6243  0.0038  0.0547  0.0555  0.0461  0.04
Biret 1990   5  0.725  0.075  0.148  0.5642  0.0614  0.18
Brailowsky 1960   41  0.6135  0.0041  0.0735  0.0750  0.0443  0.05
Chiu 1999   60  0.5262  0.0062  0.0462  0.0453  0.0555  0.04
Clidat 1994   38  0.6133  0.0033  0.0640  0.0640  0.0739  0.06
Cohen 1997   62  0.4750  0.0046  0.0548  0.0536  0.0937  0.07
Cortot 1951   39  0.6139  0.0034  0.0833  0.088  0.3716  0.17
Csalog 1996   31  0.629  0.0230  0.0628  0.1441  0.0729  0.10
Czerny 1989   48  0.5928  0.0036  0.0638  0.0654  0.0445  0.05
Ezaki 2006   33  0.6234  0.0048  0.0550  0.0553  0.0541  0.05
Falvay 1989   1  0.761  0.371  0.372  0.6428  0.216  0.37
Fiorentino 1962   11  0.7011  0.028  0.133  0.6215  0.403  0.50
Fliere 1977   32  0.6260  0.0044  0.0554  0.0558  0.0542  0.05
Fou 1978   34  0.6226  0.0037  0.0834  0.0845  0.0636  0.07
Francois 1956   52  0.5737  0.0052  0.0737  0.0742  0.0640  0.06
Goldenweiser 1946   58  0.536  0.0428  0.0630  0.1254  0.0435  0.07
Gornostaeva 1994   24  0.6522  0.0032  0.0632  0.1244  0.0534  0.08
Groot 1988   20  0.6817  0.0117  0.1318  0.3749  0.0523  0.14
Hatto 1993   13  0.6921  0.0119  0.1317  0.3953  0.0524  0.14
Hatto 1997   17  0.6829  0.0021  0.0822  0.3134  0.0915  0.17
Horszowski 1983   53  0.5748  0.0039  0.0641  0.0637  0.0638  0.06
Indjic 2001   21  0.6751  0.0022  0.0924  0.2936  0.0722  0.14
Katin 1996   18  0.6830  0.0023  0.0721  0.3344  0.0620  0.14
Kiepura 1999   42  0.6015  0.0113  0.1119  0.3610  0.475  0.41
Korecka 1992   10  0.7013  0.0116  0.1312  0.4627  0.258  0.34
Kushner 1990   43  0.6036  0.0040  0.0544  0.0562  0.0458  0.04
Lilamand 2001   63  0.3863  0.0063  0.0364  0.0360  0.0364  0.03
Luisada 1990   15  0.6923  0.0015  0.1514  0.4647  0.0519  0.15
Luisada 2008   23  0.6555  0.0020  0.1220  0.3347  0.0525  0.13
Lushtak 2004   19  0.6838  0.0024  0.0823  0.3146  0.0526  0.12
Malcuzynski 1951   59  0.5341  0.0051  0.0546  0.0548  0.0550  0.05
Malcuzynski 1961   47  0.6044  0.0045  0.0551  0.0556  0.0546  0.05
Magaloff 1977   46  0.6056  0.0053  0.0457  0.0449  0.0559  0.04
Magin 1975   2  0.742  0.102  0.166  0.6032  0.1411  0.29
Meguri 1997   50  0.5727  0.0056  0.0460  0.0443  0.0647  0.05
Milkina 1970   49  0.5757  0.0054  0.0459  0.0463  0.0363  0.03
Mohovich 1999   27  0.6353  0.0027  0.0927  0.1649  0.0530  0.09
Nezu 2005   6  0.7119  0.0112  0.1410  0.5441  0.0613  0.18
Ohlsson 1999   28  0.6345  0.0042  0.0549  0.0564  0.0357  0.04
Olejniczak 1990   26  0.6366  0.0047  0.0545  0.0548  0.0551  0.05
Osinska 1989   12  0.7024  0.0018  0.1215  0.4552  0.0517  0.15
Perlemuter 1992   57  0.5446  0.0060  0.0456  0.0450  0.0454  0.04
Poblocka 1999   8  0.7020  0.0114  0.1413  0.4652  0.0518  0.15
Rangell 2001   61  0.5254  0.0061  0.0458  0.0457  0.0462  0.04
Richter 1960   7  0.7125  0.009  0.167  0.5713  0.394  0.47
Richter 1961   16  0.6814  0.0110  0.2011  0.537  0.531  0.53
Rosen 1989   56  0.5465  0.0058  0.0555  0.0564  0.0360  0.04
Rubinstein 1939   9  0.704  0.087  0.154  0.6129  0.197  0.34
Rubinstein 1952   55  0.5616  0.0143  0.0552  0.0553  0.0552  0.05
Rubinstein 1966   14  0.697  0.036  0.149  0.5534  0.0812  0.21
Rudanovskaya 2007   36  0.6212  0.0235  0.0736  0.0718  0.2921  0.14
Shebanova 2002   40  0.6131  0.0049  0.0543  0.0558  0.0548  0.05
Smith 1975   45  0.6040  0.0055  0.0461  0.0437  0.0744  0.05
Sztompka 1959   44  0.6052  0.0059  0.0542  0.0561  0.0356  0.04
Tanyel 1992   37  0.6261  0.0050  0.0639  0.0650  0.0549  0.05
Tsujii 2005   4  0.723  0.084  0.181  0.6632  0.179  0.33
Uninsky 1959   25  0.6532  0.0029  0.0631  0.1252  0.0532  0.08
Vardi 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Wasowski 1980   51  0.5742  0.0057  0.0553  0.0562  0.0353  0.04
Zimerman 1975   3  0.7318  0.013  0.175  0.6019  0.452  0.52
Random 1   66  0.0059  0.0065  0.0265  0.0255  0.0366  0.02
Random 2   65  0.0058  0.0066  0.0166  0.0147  0.0465  0.02
Random 3   64  0.1049  0.0064  0.0463  0.0416  0.3727  0.12

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).