Kushner 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.3147  0.0050  0.0457  0.0442  0.0564  0.04
Ashkenazy 1981   26  0.4343  0.0031  0.0931  0.2013  0.5130  0.32
Beliavsky 2004   44  0.3754  0.0041  0.0739  0.0713  0.5135  0.19
BenOr 1989   3  0.572  0.163  0.403  0.757  0.685  0.71
Biret 1990   24  0.4311  0.0127  0.0929  0.2122  0.2333  0.22
Blet 2003   20  0.4628  0.0019  0.1019  0.4120  0.5120  0.46
Block 1995   41  0.3852  0.0042  0.0936  0.0937  0.0742  0.08
Brailowsky 1960   25  0.4349  0.0028  0.1026  0.3128  0.3329  0.32
Chiu 1999   13  0.493  0.0513  0.1717  0.471  0.6913  0.57
Clidat 1994   45  0.3730  0.0049  0.0550  0.0545  0.0661  0.05
Cohen 1997   28  0.4313  0.0133  0.1134  0.114  0.6831  0.27
Coop 1987   15  0.4848  0.0014  0.1710  0.6111  0.5314  0.57
Cortot 1951   61  0.2431  0.0062  0.0459  0.0435  0.0959  0.06
Czerny 1949   56  0.2960  0.0054  0.0362  0.0340  0.0860  0.05
Czerny 1949b   54  0.3055  0.0052  0.0454  0.0434  0.0851  0.06
Ezaki 2006   12  0.4921  0.007  0.2212  0.5915  0.6010  0.59
Falvay 1989   14  0.4818  0.0022  0.1314  0.5013  0.5615  0.53
Ferenczy 1958   27  0.4350  0.0017  0.1116  0.4817  0.5616  0.52
Fiorentino 1962   47  0.3645  0.0047  0.0644  0.0635  0.1043  0.08
Fliere 1977   36  0.3925  0.0038  0.0643  0.0625  0.3038  0.13
Fou 1978   9  0.516  0.054  0.224  0.743  0.723  0.73
Francois 1956   34  0.4017  0.0030  0.0930  0.205  0.6027  0.35
Hatto 1997   17  0.4653  0.0024  0.1024  0.3517  0.4923  0.41
Horowitz 1971   49  0.3361  0.0039  0.0737  0.0748  0.0558  0.06
Horowitz 1985   60  0.2665  0.0048  0.0552  0.0533  0.0944  0.07
Indjic 2001   18  0.4662  0.0025  0.1025  0.3317  0.5124  0.41
Kapell 1951   4  0.535  0.0512  0.179  0.661  0.784  0.72
Kiepura 1999   42  0.3736  0.0040  0.0741  0.0744  0.0550  0.06
Kilenyi 1937   31  0.4142  0.0029  0.0928  0.2622  0.4826  0.35
Kissin 1993   51  0.3127  0.0057  0.0455  0.0444  0.0852  0.06
Kitain 1937   58  0.2764  0.0055  0.0361  0.0330  0.1357  0.06
Kushner 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Levy 1951   38  0.3838  0.0043  0.0740  0.0731  0.2439  0.13
Luisada 1990   50  0.3233  0.0056  0.0551  0.0535  0.0855  0.06
Lushtak 2004   37  0.3856  0.0046  0.0645  0.0638  0.0848  0.07
Lympany 1968   35  0.4040  0.0035  0.0935  0.0920  0.4334  0.20
Magaloff 1977   55  0.2941  0.0058  0.0456  0.0432  0.1147  0.07
Magaloff 1977b   57  0.2844  0.0059  0.0553  0.0537  0.0662  0.05
Magin 1975   16  0.4815  0.0020  0.1220  0.4125  0.3725  0.39
Milkina 1970   8  0.5229  0.009  0.195  0.7011  0.609  0.65
Mohovich 1999   22  0.4510  0.0216  0.1121  0.398  0.6019  0.48
Nadelmann 1956   21  0.4535  0.0021  0.1418  0.4641  0.0736  0.18
Ohlsson 1999   5  0.5314  0.0110  0.188  0.674  0.706  0.68
Olejniczac 1990   32  0.4134  0.0037  0.0742  0.0730  0.1840  0.11
Olejniczak 1991   30  0.4139  0.0034  0.1433  0.1418  0.3632  0.22
Osinska 1989   2  0.614  0.052  0.292  0.854  0.702  0.77
Paderewski 1912   53  0.3123  0.0053  0.0548  0.0538  0.0754  0.06
Perahia 1994   43  0.3720  0.0036  0.0738  0.0745  0.0656  0.06
Perlemuter 1986   7  0.5212  0.018  0.206  0.706  0.628  0.66
Poblocka 1999   33  0.4019  0.0018  0.1323  0.3814  0.4622  0.42
Rangell 2001   23  0.4446  0.0026  0.1527  0.308  0.6321  0.43
Risler 1920   48  0.3357  0.0051  0.0458  0.0428  0.1445  0.07
Rosen 1989   29  0.4232  0.0023  0.1022  0.3914  0.6118  0.49
Rubinstein 1939   19  0.4616  0.0015  0.1615  0.4812  0.5117  0.49
Rubinstein 1952   10  0.517  0.0511  0.1613  0.588  0.5912  0.58
Rubinstein 1966   1  0.621  0.431  0.421  0.873  0.791  0.83
Rummel 1943   59  0.2758  0.0061  0.0547  0.0560  0.0365  0.04
Shebanova 2002   11  0.498  0.036  0.1811  0.607  0.5911  0.59
Smith 1975   62  0.2451  0.0060  0.0460  0.0455  0.0463  0.04
Szpilman 1948   39  0.3826  0.0032  0.1032  0.1916  0.5328  0.32
Uninsky 1971   46  0.3622  0.0045  0.0546  0.0538  0.0753  0.06
Wasowski 1980   6  0.529  0.035  0.237  0.705  0.637  0.66
Weissenberg 1971   40  0.3824  0.0044  0.0549  0.0534  0.1146  0.07
Random 1    63  0.0937  0.0063  0.0363  0.032  0.6337  0.14
Random 2   64  0.0663  0.0064  0.0264  0.0210  0.4141  0.09
Random 3   65  0.0359  0.0065  0.0265  0.0220  0.2349  0.07

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).