Kushner 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   10  0.6743  0.0025  0.0721  0.3746  0.0725  0.16
Ax 1995   26  0.6339  0.0026  0.0922  0.3644  0.0822  0.17
Bacha 1998   48  0.5440  0.0056  0.0363  0.0353  0.0562  0.04
Barbosa 1983   14  0.6626  0.0027  0.0830  0.2638  0.0830  0.14
BenOr 1989   2  0.724  0.065  0.213  0.669  0.621  0.64
Biret 1990   4  0.6918  0.0013  0.179  0.6117  0.642  0.62
Brailowsky 1960   5  0.6912  0.014  0.1811  0.6115  0.514  0.56
Chiu 1999   57  0.5064  0.0054  0.0454  0.0436  0.0755  0.05
Clidat 1994   32  0.6216  0.0121  0.1119  0.4746  0.0719  0.18
Cohen 1997   51  0.5163  0.0062  0.0455  0.0417  0.3938  0.12
Cortot 1951   52  0.5047  0.0064  0.0547  0.0527  0.2242  0.10
Csalog 1996   36  0.6061  0.0030  0.0833  0.1632  0.1231  0.14
Czerny 1989   61  0.4558  0.0057  0.0364  0.0343  0.0563  0.04
Ezaki 2006   39  0.5823  0.0046  0.0646  0.0659  0.0553  0.05
Falvay 1989   28  0.6310  0.019  0.1117  0.5045  0.0620  0.17
Fiorentino 1962   33  0.6248  0.0037  0.0836  0.0858  0.0552  0.06
Fliere 1977   46  0.5556  0.0045  0.0645  0.0653  0.0650  0.06
Fou 1978   30  0.6328  0.0034  0.0841  0.0844  0.0748  0.07
Francois 1956   56  0.5051  0.0047  0.0452  0.0450  0.0660  0.05
Goldenweiser 1946   64  0.3966  0.0063  0.0549  0.0529  0.1940  0.10
Gornostaeva 1994   55  0.5041  0.0058  0.0460  0.0457  0.0565  0.04
Groot 1988   20  0.6414  0.0117  0.1715  0.5413  0.377  0.45
Hatto 1993   23  0.6444  0.0011  0.108  0.6140  0.0815  0.22
Hatto 1997   16  0.659  0.017  0.106  0.6236  0.0813  0.22
Horszowski 1983   58  0.4833  0.0060  0.0362  0.0328  0.1847  0.07
Indjic 2001   15  0.6527  0.0010  0.097  0.6236  0.1012  0.25
Katin 1996   13  0.665  0.0214  0.125  0.6321  0.396  0.50
Kiepura 1999   19  0.648  0.0135  0.0839  0.0834  0.1043  0.09
Korecka 1992   47  0.5545  0.0049  0.0457  0.0447  0.0656  0.05
Kushner 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lilamand 2001   50  0.5252  0.0048  0.0461  0.0426  0.2144  0.09
Luisada 1990   45  0.5629  0.0038  0.0744  0.0726  0.2933  0.14
Luisada 2008   38  0.5835  0.0042  0.0837  0.0828  0.2432  0.14
Lushtak 2004   22  0.647  0.0123  0.0724  0.3348  0.0727  0.15
Malcuzynski 1951   18  0.6520  0.0031  0.0829  0.2736  0.0829  0.15
Malcuzynski 1961   6  0.6921  0.0012  0.1410  0.6140  0.0716  0.21
Magaloff 1977   53  0.5046  0.0055  0.0548  0.0551  0.0657  0.05
Magin 1975   31  0.6222  0.0033  0.1132  0.2237  0.0736  0.12
Meguri 1997   54  0.5054  0.0051  0.0453  0.0464  0.0366  0.03
Milkina 1970   12  0.663  0.073  0.362  0.6727  0.455  0.55
Mohovich 1999   44  0.5719  0.0019  0.1125  0.3138  0.0824  0.16
Nezu 2005   8  0.686  0.0218  0.1816  0.5237  0.0914  0.22
Ohlsson 1999   29  0.6337  0.0022  0.0923  0.3637  0.0821  0.17
Olejniczak 1990   9  0.6811  0.0116  0.1420  0.4424  0.289  0.35
Osinska 1989   7  0.6849  0.0015  0.1114  0.5747  0.0717  0.20
Perlemuter 1992   59  0.4755  0.0061  0.0451  0.0436  0.0654  0.05
Poblocka 1999   21  0.6436  0.0029  0.0826  0.2960  0.0535  0.12
Rangell 2001   34  0.6260  0.0040  0.0934  0.0932  0.2628  0.15
Richter 1960   62  0.4442  0.0059  0.0458  0.0461  0.0464  0.04
Richter 1961   63  0.4332  0.0053  0.0456  0.0458  0.0561  0.04
Rosen 1989   49  0.5253  0.0050  0.0450  0.0450  0.0658  0.05
Rubinstein 1939   42  0.5825  0.0036  0.0842  0.0854  0.0551  0.06
Rubinstein 1952   24  0.6434  0.0032  0.1127  0.2748  0.0634  0.13
Rubinstein 1966   37  0.5950  0.0041  0.0935  0.0946  0.0649  0.07
Rudanovskaya 2007   60  0.4659  0.0052  0.0459  0.0431  0.2541  0.10
Shebanova 2002   40  0.5857  0.0028  0.0831  0.2437  0.0926  0.15
Smith 1975   43  0.5738  0.0044  0.0840  0.0837  0.0845  0.08
Sztompka 1959   41  0.5830  0.0043  0.0838  0.0836  0.0846  0.08
Tanyel 1992   3  0.712  0.172  0.314  0.6520  0.513  0.58
Tsujii 2005   11  0.6731  0.008  0.0812  0.6048  0.0618  0.19
Uninsky 1959   17  0.6524  0.006  0.1113  0.6020  0.338  0.44
Vardi 1988   25  0.6313  0.0120  0.1118  0.4929  0.2010  0.31
Wasowski 1980   35  0.6117  0.0039  0.0743  0.0723  0.3523  0.16
Zimerman 1975   27  0.6315  0.0124  0.0828  0.2758  0.0539  0.12
Average   1  0.761  0.491  0.491  0.8342  0.0811  0.26
Random 1   67  -0.0565  0.0066  0.0266  0.0226  0.1259  0.05
Random 2   66  -0.0567  0.0067  0.0167  0.0155  0.0467  0.02
Random 3   65  0.0062  0.0065  0.0365  0.033  0.5137  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).