Kushner 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.5811  0.0147  0.0459  0.0454  0.0458  0.04
Ashkenazy 1981   31  0.6250  0.0039  0.0834  0.0861  0.0345  0.05
Beliavsky 2004   26  0.6327  0.0028  0.0828  0.2155  0.0429  0.09
BenOr 1989   13  0.6616  0.0121  0.0917  0.4062  0.0325  0.11
Biret 1990   6  0.6925  0.007  0.176  0.6447  0.0610  0.20
Blet 2003   20  0.6451  0.0024  0.1322  0.2957  0.0523  0.12
Block 1995   49  0.5564  0.0060  0.0461  0.0459  0.0460  0.04
Brailowsky 1960   44  0.5830  0.0049  0.0548  0.0563  0.0353  0.04
Chiu 1999   33  0.6144  0.0037  0.0544  0.0553  0.0537  0.05
Clidat 1994   14  0.667  0.0313  0.1313  0.4439  0.0615  0.16
Cohen 1997   35  0.6139  0.0042  0.0637  0.0655  0.0446  0.05
Coop 1987   17  0.6528  0.0023  0.1121  0.3250  0.0618  0.14
Cortot 1951   16  0.6538  0.0020  0.0918  0.3461  0.0328  0.10
Czerny 1949   19  0.6436  0.0022  0.0819  0.3347  0.0619  0.14
Czerny 1949b   60  0.4932  0.0059  0.0460  0.0456  0.0554  0.04
Ezaki 2006   2  0.742  0.272  0.361  0.7741  0.082  0.25
Falvay 1989   18  0.6415  0.0130  0.0830  0.1758  0.0431  0.08
Ferenczy 1958   52  0.5420  0.0140  0.0641  0.0658  0.0441  0.05
Fiorentino 1962   37  0.6165  0.0036  0.0640  0.0658  0.0447  0.05
Fliere 1977   54  0.5359  0.0057  0.0362  0.0352  0.0550  0.04
Fou 1978   40  0.5961  0.0034  0.0638  0.0663  0.0355  0.04
Francois 1956   63  0.3831  0.0063  0.0547  0.0554  0.0548  0.05
Hatto 1997   48  0.5556  0.0056  0.0458  0.0457  0.0457  0.04
Horowitz 1971   29  0.6210  0.0227  0.0727  0.2421  0.264  0.25
Horowitz 1985   62  0.4934  0.0058  0.0363  0.0346  0.0651  0.04
Indjic 2001   46  0.5762  0.0055  0.0455  0.0460  0.0461  0.04
Kapell 1951   11  0.679  0.0212  0.1912  0.5138  0.088  0.20
Kiepura 1999   39  0.5941  0.0050  0.0452  0.0452  0.0549  0.04
Kilenyi 1937   38  0.6042  0.0035  0.0835  0.0854  0.0435  0.06
Kissin 1993   12  0.6714  0.018  0.229  0.6161  0.0414  0.16
Kitain 1937   59  0.5012  0.0148  0.0550  0.0531  0.1630  0.09
Kushner 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Levy 1951   43  0.5966  0.0041  0.0642  0.0663  0.0438  0.05
Luisada 1990   3  0.714  0.065  0.227  0.6333  0.103  0.25
Lushtak 2004   10  0.6813  0.019  0.098  0.6223  0.291  0.42
Lympany 1968   42  0.5933  0.0043  0.0639  0.0653  0.0436  0.05
Magaloff 1977   27  0.6323  0.0033  0.0833  0.0852  0.0634  0.07
Magaloff 1977b   34  0.6135  0.0038  0.0736  0.0763  0.0444  0.05
Magin 1975   24  0.6324  0.0031  0.0731  0.1354  0.0532  0.08
Milkina 1970   30  0.6217  0.0117  0.0925  0.2459  0.0426  0.10
Mohovich 1999   5  0.703  0.083  0.193  0.7158  0.0512  0.19
Nadelmann 1956   28  0.6337  0.0025  0.0826  0.2442  0.0622  0.12
Ohlsson 1999   57  0.5040  0.0062  0.0643  0.0648  0.0539  0.05
Olejniczac 1990   23  0.6363  0.0029  0.0729  0.2049  0.0527  0.10
Olejniczak 1991   4  0.705  0.054  0.244  0.7054  0.067  0.20
Osinska 1989   9  0.6926  0.0010  0.1211  0.5841  0.076  0.20
Paderewski 1912   61  0.4955  0.0051  0.0453  0.0449  0.0559  0.04
Perahia 1994   32  0.626  0.0414  0.1120  0.3229  0.139  0.20
Perlemuter 1986   58  0.5060  0.0061  0.0549  0.0556  0.0456  0.04
Poblocka 1999   15  0.6547  0.0016  0.0815  0.4263  0.0420  0.13
Rangell 2001   22  0.6348  0.0032  0.0632  0.1245  0.0633  0.08
Risler 1920   51  0.548  0.0315  0.0923  0.2942  0.0717  0.14
Rosen 1989   41  0.5918  0.0144  0.0551  0.0554  0.0543  0.05
Rubinstein 1939   56  0.5245  0.0052  0.0454  0.0462  0.0362  0.03
Rubinstein 1952   21  0.6422  0.0018  0.1114  0.4349  0.0516  0.15
Rubinstein 1966   47  0.5743  0.0046  0.0456  0.0461  0.0363  0.03
Rummel 1943   55  0.5353  0.0053  0.0546  0.0552  0.0542  0.05
Shebanova 2002   36  0.6119  0.0126  0.0824  0.2540  0.0524  0.11
Smith 1975   25  0.6358  0.0019  0.1016  0.4152  0.0421  0.13
Szpilman 1948   50  0.5554  0.0045  0.0457  0.0457  0.0452  0.04
Uninsky 1971   53  0.5446  0.0054  0.0545  0.0552  0.0540  0.05
Wasowski 1980   8  0.6929  0.006  0.165  0.6654  0.0513  0.18
Weissenberg 1971   7  0.6921  0.0111  0.1510  0.5939  0.085  0.22
Average   1  0.741  0.281  0.272  0.7350  0.0511  0.19
Random 1    65  -0.0249  0.0065  0.0265  0.0257  0.0365  0.02
Random 2   64  0.0052  0.0064  0.0364  0.0336  0.0464  0.03
Random 3   66  -0.0457  0.0066  0.0166  0.0157  0.0366  0.02

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).