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  0.6926  0.0024  0.0720  0.3054  0.0527  0.12
Ax 1995   37  0.6041  0.0037  0.0537  0.0553  0.0549  0.05
Bacha 1998   52  0.5344  0.0063  0.0452  0.0449  0.0555  0.04
Barbosa 1983   8  0.7118  0.0122  0.0822  0.2746  0.0524  0.12
BenOr 1989   1  0.753  0.074  0.1312  0.3813  0.403  0.39
Biret 1990   7  0.7227  0.008  0.107  0.4033  0.1311  0.23
Brailowsky 1960   5  0.7210  0.022  0.163  0.596  0.472  0.53
Chiu 1999   54  0.5155  0.0058  0.0450  0.0451  0.0554  0.04
Clidat 1994   21  0.6425  0.0020  0.0718  0.3243  0.0619  0.14
Cohen 1997   26  0.6265  0.0051  0.0455  0.0420  0.3528  0.12
Cortot 1951   32  0.6114  0.0148  0.0457  0.0419  0.3529  0.12
Csalog 1996   22  0.6361  0.0030  0.0724  0.2650  0.0531  0.11
Czerny 1989   63  0.3462  0.0064  0.0540  0.0555  0.0547  0.05
Ezaki 2006   24  0.6354  0.0042  0.0446  0.0461  0.0451  0.04
Falvay 1989   50  0.549  0.0219  0.0828  0.1949  0.0535  0.10
Fiorentino 1962   20  0.6448  0.0032  0.0832  0.1546  0.0638  0.09
Fliere 1977   44  0.5658  0.0040  0.0454  0.0456  0.0552  0.04
Fou 1978   19  0.6419  0.0136  0.0635  0.0644  0.0639  0.06
Francois 1956   59  0.4356  0.0062  0.0456  0.0456  0.0562  0.04
Goldenweiser 1946   64  0.3160  0.0052  0.0458  0.0428  0.2334  0.10
Gornostaeva 1994   51  0.5353  0.0061  0.0361  0.0359  0.0466  0.03
Groot 1988   30  0.627  0.0410  0.094  0.5014  0.254  0.35
Hatto 1993   39  0.5921  0.0117  0.1311  0.3948  0.0521  0.14
Hatto 1997   36  0.6013  0.0115  0.099  0.3954  0.0518  0.14
Horszowski 1983   55  0.4935  0.0046  0.0451  0.0443  0.0642  0.05
Indjic 2001   35  0.6042  0.0016  0.1010  0.3949  0.0520  0.14
Katin 1996   34  0.6012  0.0239  0.0541  0.0547  0.0648  0.05
Kiepura 1999   6  0.7211  0.0223  0.0731  0.1719  0.2812  0.22
Korecka 1992   29  0.6249  0.0045  0.0448  0.0424  0.2336  0.10
Kushner 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lilamand 2001   41  0.5816  0.0113  0.0721  0.2924  0.228  0.25
Luisada 1990   56  0.4737  0.0050  0.0445  0.0443  0.0560  0.04
Luisada 2008   48  0.5422  0.0149  0.0449  0.0446  0.0559  0.04
Lushtak 2004   17  0.656  0.0429  0.0627  0.1930  0.1616  0.17
Malcuzynski 1951   12  0.6836  0.0027  0.0725  0.2341  0.0533  0.11
Malcuzynski 1961   3  0.7331  0.005  0.095  0.4930  0.1210  0.24
Magaloff 1977   47  0.5534  0.0054  0.0363  0.0363  0.0364  0.03
Magin 1975   25  0.6340  0.0033  0.0733  0.1344  0.0637  0.09
Meguri 1997   57  0.4763  0.0053  0.0539  0.0563  0.0457  0.04
Milkina 1970   27  0.625  0.047  0.116  0.4331  0.205  0.29
Mohovich 1999   45  0.5543  0.0014  0.0816  0.3344  0.0523  0.13
Nezu 2005   11  0.6939  0.0025  0.0723  0.2656  0.0532  0.11
Ohlsson 1999   33  0.6029  0.0031  0.0929  0.1941  0.0630  0.11
Olejniczak 1990   10  0.6917  0.019  0.0915  0.3329  0.207  0.26
Osinska 1989   13  0.6832  0.0021  0.0713  0.3847  0.0517  0.14
Perlemuter 1992   58  0.4724  0.0147  0.0453  0.0434  0.0743  0.05
Poblocka 1999   18  0.6545  0.0035  0.0634  0.0654  0.0544  0.05
Rangell 2001   15  0.668  0.0318  0.0719  0.3130  0.1514  0.22
Richter 1960   62  0.3750  0.0060  0.0360  0.0349  0.0558  0.04
Richter 1961   61  0.3838  0.0059  0.0447  0.0453  0.0553  0.04
Rosen 1989   53  0.5152  0.0056  0.0459  0.0462  0.0461  0.04
Rubinstein 1939   49  0.5447  0.0044  0.0542  0.0558  0.0546  0.05
Rubinstein 1952   28  0.6246  0.0043  0.0538  0.0558  0.0550  0.05
Rubinstein 1966   46  0.5520  0.0155  0.0362  0.0360  0.0463  0.03
Rudanovskaya 2007   60  0.4059  0.0057  0.0364  0.0333  0.1140  0.06
Shebanova 2002   43  0.5723  0.0112  0.0817  0.3256  0.0522  0.13
Smith 1975   38  0.5957  0.0038  0.0543  0.0540  0.0645  0.05
Sztompka 1959   40  0.5851  0.0026  0.0630  0.1826  0.2713  0.22
Tanyel 1992   2  0.751  0.381  0.371  0.659  0.461  0.55
Tsujii 2005   16  0.654  0.0511  0.098  0.3960  0.0425  0.12
Uninsky 1959   31  0.6130  0.006  0.1014  0.3627  0.169  0.24
Vardi 1988   42  0.5728  0.0041  0.0444  0.0449  0.0556  0.04
Wasowski 1980   14  0.6615  0.0128  0.0726  0.2116  0.326  0.26
Zimerman 1975   23  0.6333  0.0034  0.0636  0.0643  0.0641  0.06
Average   4  0.732  0.123  0.252  0.6438  0.0615  0.20
Random 1   66  -0.1164  0.0066  0.0266  0.0246  0.0465  0.03
Random 2   67  -0.1267  0.0067  0.0167  0.0165  0.0267  0.01
Random 3   65  -0.0666  0.0065  0.0365  0.035  0.5026  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).