Kushner 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   9  0.6742  0.0024  0.0720  0.3745  0.0724  0.16
Ax 1995   25  0.6338  0.0025  0.0921  0.3643  0.0821  0.17
Bacha 1998   47  0.5439  0.0055  0.0362  0.0352  0.0560  0.04
Barbosa 1983   13  0.6623  0.0026  0.0829  0.2637  0.0829  0.14
BenOr 1989   1  0.723  0.104  0.212  0.668  0.621  0.64
Biret 1990   3  0.6917  0.0112  0.178  0.6116  0.642  0.62
Brailowsky 1960   4  0.694  0.073  0.1910  0.6114  0.514  0.56
Chiu 1999   56  0.5063  0.0053  0.0453  0.0435  0.0754  0.05
Clidat 1994   31  0.6218  0.0120  0.1218  0.4745  0.0719  0.18
Cohen 1997   50  0.5162  0.0061  0.0454  0.0416  0.3937  0.12
Cortot 1951   51  0.5046  0.0063  0.0646  0.0626  0.2239  0.11
Csalog 1996   35  0.6060  0.0029  0.0832  0.1631  0.1230  0.14
Czerny 1989   60  0.4558  0.0056  0.0363  0.0342  0.0561  0.04
Ezaki 2006   38  0.5826  0.0045  0.0645  0.0658  0.0552  0.05
Falvay 1989   27  0.635  0.058  0.1116  0.5044  0.0620  0.17
Fiorentino 1962   32  0.6247  0.0036  0.0835  0.0857  0.0650  0.07
Fliere 1977   45  0.5555  0.0044  0.0644  0.0652  0.0651  0.06
Fou 1978   29  0.6324  0.0033  0.0840  0.0843  0.0748  0.07
Francois 1956   55  0.5050  0.0046  0.0451  0.0449  0.0658  0.05
Goldenweiser 1946   63  0.3965  0.0062  0.0548  0.0528  0.1940  0.10
Gornostaeva 1994   54  0.5040  0.0057  0.0459  0.0456  0.0564  0.04
Groot 1988   19  0.6412  0.0116  0.1714  0.5412  0.377  0.45
Hatto 1993   22  0.6443  0.0010  0.107  0.6139  0.0814  0.22
Hatto 1997   15  0.6510  0.026  0.105  0.6235  0.0912  0.24
Horszowski 1983   57  0.4834  0.0059  0.0361  0.0327  0.1846  0.07
Indjic 2001   14  0.6529  0.009  0.096  0.6235  0.1011  0.25
Katin 1996   12  0.666  0.0313  0.124  0.6320  0.396  0.50
Kiepura 1999   18  0.6411  0.0134  0.0838  0.0833  0.1042  0.09
Korecka 1992   46  0.5544  0.0048  0.0456  0.0446  0.0655  0.05
Kushner 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lilamand 2001   49  0.5251  0.0047  0.0460  0.0425  0.2143  0.09
Luisada 1990   44  0.5627  0.0037  0.0743  0.0725  0.2932  0.14
Luisada 2008   37  0.5835  0.0041  0.0836  0.0827  0.2431  0.14
Lushtak 2004   21  0.649  0.0222  0.0823  0.3347  0.0726  0.15
Malcuzynski 1951   17  0.6522  0.0030  0.0828  0.2735  0.0828  0.15
Malcuzynski 1961   5  0.6919  0.0111  0.149  0.6139  0.0715  0.21
Magaloff 1977   52  0.5045  0.0054  0.0547  0.0550  0.0656  0.05
Magin 1975   30  0.6213  0.0132  0.1131  0.2236  0.0735  0.12
Meguri 1997   53  0.5053  0.0050  0.0452  0.0463  0.0365  0.03
Milkina 1970   11  0.662  0.202  0.361  0.6726  0.455  0.55
Mohovich 1999   43  0.5721  0.0018  0.1124  0.3137  0.0823  0.16
Nezu 2005   7  0.687  0.0317  0.1815  0.5236  0.0913  0.22
Ohlsson 1999   28  0.6336  0.0021  0.1022  0.3636  0.0918  0.18
Olejniczak 1990   8  0.6814  0.0115  0.1519  0.4423  0.289  0.35
Osinska 1989   6  0.6848  0.0014  0.1113  0.5746  0.0716  0.20
Perlemuter 1992   58  0.4754  0.0060  0.0450  0.0435  0.0653  0.05
Poblocka 1999   20  0.6433  0.0028  0.0825  0.2959  0.0534  0.12
Rangell 2001   33  0.6256  0.0039  0.0933  0.0931  0.2627  0.15
Richter 1960   61  0.4441  0.0058  0.0457  0.0460  0.0462  0.04
Richter 1961   62  0.4332  0.0052  0.0455  0.0457  0.0559  0.04
Rosen 1989   48  0.5252  0.0049  0.0549  0.0549  0.0657  0.05
Rubinstein 1939   41  0.5830  0.0035  0.0841  0.0853  0.0647  0.07
Rubinstein 1952   23  0.6425  0.0031  0.1126  0.2747  0.0633  0.13
Rubinstein 1966   36  0.5949  0.0040  0.0934  0.0945  0.0649  0.07
Rudanovskaya 2007   59  0.4659  0.0051  0.0458  0.0430  0.2541  0.10
Shebanova 2002   39  0.5857  0.0027  0.0830  0.2436  0.0925  0.15
Smith 1975   42  0.5737  0.0043  0.0839  0.0836  0.0844  0.08
Sztompka 1959   40  0.5831  0.0042  0.0837  0.0835  0.0845  0.08
Tanyel 1992   2  0.711  0.321  0.323  0.6519  0.513  0.58
Tsujii 2005   10  0.678  0.037  0.0911  0.6047  0.0617  0.19
Uninsky 1959   16  0.6528  0.005  0.1112  0.6019  0.338  0.44
Vardi 1988   24  0.6315  0.0119  0.1117  0.4928  0.2010  0.31
Wasowski 1980   34  0.6120  0.0138  0.0742  0.0722  0.3522  0.16
Zimerman 1975   26  0.6316  0.0123  0.0827  0.2757  0.0538  0.12
Random 1   66  -0.0564  0.0065  0.0265  0.0228  0.1063  0.04
Random 2   65  -0.0566  0.0066  0.0166  0.0156  0.0466  0.02
Random 3   64  0.0061  0.0064  0.0364  0.033  0.5136  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).