Kushner 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.6348  0.0037  0.0742  0.0747  0.0552  0.06
Ashkenazy 1981   20  0.6826  0.0030  0.0929  0.2147  0.0735  0.12
Beliavsky 2004   38  0.6334  0.0035  0.0840  0.0834  0.0747  0.07
BenOr 1989   5  0.7221  0.008  0.125  0.6549  0.0620  0.20
Biret 1990   15  0.6951  0.0020  0.1218  0.4535  0.0823  0.19
Blet 2003   22  0.6723  0.0024  0.1022  0.3637  0.0826  0.17
Block 1995   55  0.5959  0.0060  0.0455  0.0463  0.0463  0.04
Brailowsky 1960   52  0.6040  0.0058  0.0550  0.0544  0.0850  0.06
Chiu 1999   33  0.6528  0.0033  0.1035  0.1050  0.0643  0.08
Clidat 1994   16  0.6915  0.0015  0.1415  0.4649  0.0529  0.15
Cohen 1997   59  0.5745  0.0059  0.0456  0.0413  0.3836  0.12
Coop 1987   14  0.699  0.016  0.1414  0.4736  0.1017  0.22
Cortot 1951   51  0.6036  0.0057  0.0552  0.0556  0.0560  0.05
Czerny 1949   30  0.6531  0.0023  0.0923  0.3537  0.0925  0.18
Czerny 1949b   54  0.5964  0.0051  0.0460  0.0457  0.0654  0.05
Ezaki 2006   3  0.742  0.113  0.432  0.8126  0.352  0.53
Falvay 1989   29  0.6612  0.0034  0.1134  0.1146  0.0740  0.09
Ferenczy 1958   56  0.5841  0.0047  0.0548  0.0527  0.2538  0.11
Fiorentino 1962   32  0.6555  0.0039  0.0743  0.0761  0.0459  0.05
Fliere 1977   37  0.6465  0.0042  0.0936  0.0962  0.0449  0.06
Fou 1978   23  0.6739  0.0017  0.1513  0.4738  0.0919  0.21
Francois 1956   62  0.5253  0.0063  0.0645  0.0631  0.1442  0.09
Hatto 1997   48  0.6149  0.0049  0.0462  0.0446  0.0658  0.05
Horowitz 1971   34  0.6416  0.0036  0.1233  0.1216  0.4118  0.22
Horowitz 1985   61  0.5457  0.0061  0.0549  0.0527  0.2337  0.11
Indjic 2001   45  0.6256  0.0048  0.0364  0.0355  0.0565  0.04
Kapell 1951   6  0.716  0.017  0.116  0.6434  0.1011  0.25
Kiepura 1999   46  0.6235  0.0054  0.0553  0.0542  0.0653  0.05
Kilenyi 1937   28  0.6654  0.0027  0.0926  0.3244  0.0828  0.16
Kissin 1993   7  0.7137  0.005  0.1511  0.5442  0.0722  0.19
Kitain 1937   63  0.4930  0.0062  0.0551  0.0514  0.4031  0.14
Kushner 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Levy 1951   44  0.6242  0.0044  0.0741  0.0745  0.0651  0.06
Luisada 1990   13  0.694  0.0318  0.1317  0.4534  0.1216  0.23
Lushtak 2004   9  0.7010  0.0113  0.129  0.5914  0.443  0.51
Lympany 1968   35  0.6425  0.0041  0.0839  0.0830  0.1733  0.12
Magaloff 1977   36  0.6450  0.0043  0.0937  0.0940  0.0844  0.08
Magaloff 1977b   39  0.6360  0.0045  0.0646  0.0641  0.0848  0.07
Magin 1975   25  0.6732  0.0032  0.0932  0.1743  0.0834  0.12
Milkina 1970   18  0.6818  0.0019  0.1516  0.4621  0.367  0.41
Mohovich 1999   4  0.7214  0.004  0.384  0.766  0.661  0.71
Nadelmann 1956   11  0.7052  0.0012  0.128  0.6223  0.296  0.42
Ohlsson 1999   49  0.6124  0.0055  0.0461  0.0449  0.0655  0.05
Olejniczac 1990   24  0.6722  0.0031  0.0831  0.1850  0.0639  0.10
Olejniczak 1991   8  0.7020  0.009  0.167  0.6442  0.0913  0.24
Osinska 1989   2  0.763  0.032  0.453  0.8132  0.208  0.40
Paderewski 1912   60  0.5727  0.0053  0.0457  0.0458  0.0462  0.04
Perahia 1994   40  0.6311  0.0129  0.1030  0.2015  0.459  0.30
Perlemuter 1986   47  0.6246  0.0050  0.0454  0.0442  0.0656  0.05
Poblocka 1999   19  0.6844  0.0021  0.1820  0.4436  0.0821  0.19
Rangell 2001   26  0.6647  0.0028  0.1125  0.3337  0.0927  0.17
Risler 1920   50  0.618  0.0125  0.0928  0.2230  0.2414  0.23
Rosen 1989   43  0.6243  0.0052  0.0458  0.0426  0.2141  0.09
Rubinstein 1939   53  0.6029  0.0046  0.0647  0.0625  0.3032  0.13
Rubinstein 1952   10  0.707  0.0110  0.1512  0.5422  0.405  0.46
Rubinstein 1966   27  0.6613  0.0026  0.0827  0.3223  0.2510  0.28
Rummel 1943   58  0.5862  0.0056  0.0459  0.0452  0.0464  0.04
Shebanova 2002   21  0.675  0.0211  0.1221  0.3929  0.1612  0.25
Smith 1975   31  0.6558  0.0022  0.0824  0.3345  0.0630  0.14
Szpilman 1948   41  0.6319  0.0040  0.0838  0.0851  0.0646  0.07
Uninsky 1971   57  0.5838  0.0038  0.0744  0.0763  0.0457  0.05
Wasowski 1980   17  0.6917  0.0014  0.1210  0.5817  0.424  0.49
Weissenberg 1971   12  0.7033  0.0016  0.1219  0.4443  0.0724  0.18
Average   1  0.801  0.701  0.691  0.9053  0.0615  0.23
Random 1    65  -0.0161  0.0065  0.0265  0.0233  0.0761  0.04
Random 2   64  0.0363  0.0064  0.0363  0.0331  0.2045  0.08
Random 3   66  -0.0366  0.0066  0.0166  0.0143  0.0466  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).