Uninsky 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   2  0.901  0.211  0.212  0.614  0.472  0.54
Ax 1995   52  0.7537  0.0051  0.0640  0.0626  0.1842  0.10
Bacha 1998   16  0.8647  0.0011  0.1010  0.488  0.498  0.48
Barbosa 1983   46  0.7641  0.0031  0.1028  0.2111  0.4819  0.32
BenOr 1989   32  0.8240  0.0038  0.0552  0.0544  0.0660  0.05
Biret 1990   9  0.8722  0.0115  0.0814  0.4116  0.3318  0.37
Brailowsky 1960   43  0.7821  0.0149  0.0634  0.0628  0.1937  0.11
Chiu 1999   41  0.7957  0.0045  0.0545  0.0522  0.2140  0.10
Clidat 1994   34  0.8149  0.0033  0.0641  0.0617  0.4232  0.16
Cohen 1997   62  0.6432  0.0063  0.0551  0.0537  0.0854  0.06
Cortot 1951   57  0.7064  0.0056  0.0459  0.0444  0.0463  0.04
Csalog 1996   38  0.8115  0.0141  0.0548  0.0522  0.3036  0.12
Czerny 1989   55  0.7244  0.0050  0.0639  0.0636  0.0653  0.06
Ezaki 2006   44  0.7755  0.0059  0.0461  0.0427  0.1645  0.08
Falvay 1989   1  0.913  0.103  0.231  0.641  0.551  0.59
Fiorentino 1962   26  0.8336  0.0036  0.0549  0.0535  0.0755  0.06
Fliere 1977   17  0.8542  0.0034  0.0636  0.0631  0.1248  0.08
Fou 1978   28  0.836  0.0512  0.1018  0.392  0.5311  0.45
Francois 1956   60  0.6811  0.0260  0.0363  0.0325  0.1952  0.08
Goldenweiser 1946   58  0.7018  0.0139  0.0638  0.0629  0.1247  0.08
Gornostaeva 1994   35  0.8156  0.0046  0.0543  0.0530  0.1351  0.08
Groot 1988   11  0.8628  0.0024  0.1124  0.2841  0.0734  0.14
Hatto 1993   3  0.8951  0.009  0.1111  0.458  0.4910  0.47
Hatto 1997   5  0.899  0.044  0.103  0.537  0.534  0.53
Horszowski 1983   51  0.7639  0.0030  0.0730  0.1820  0.1731  0.17
Indjic 2001   4  0.8945  0.0010  0.108  0.497  0.526  0.50
Katin 1996   14  0.8620  0.0121  0.0823  0.2818  0.3222  0.30
Kiepura 1999   61  0.6725  0.0158  0.0364  0.0327  0.2246  0.08
Korecka 1992   21  0.8527  0.0118  0.1020  0.339  0.4315  0.38
Kushner 1990   47  0.7653  0.0029  0.0829  0.2018  0.3026  0.24
Lilamand 2001   63  0.6033  0.0044  0.0454  0.0440  0.0757  0.05
Luisada 1990   24  0.8310  0.0222  0.0821  0.3128  0.1827  0.24
Luisada 2008   20  0.8514  0.0114  0.0819  0.3917  0.3616  0.37
Lushtak 2004   29  0.8358  0.0047  0.0635  0.0655  0.0459  0.05
Malcuzynski 1951   59  0.6912  0.0240  0.0547  0.0522  0.1844  0.09
Malcuzynski 1961   19  0.855  0.055  0.106  0.503  0.497  0.49
Magaloff 1977   18  0.8517  0.0116  0.0717  0.405  0.4612  0.43
Magin 1975   22  0.8538  0.0026  0.0926  0.2319  0.3124  0.27
Meguri 1997   42  0.7954  0.0043  0.0550  0.0515  0.3635  0.13
Milkina 1970   25  0.834  0.056  0.099  0.481  0.583  0.53
Mohovich 1999   39  0.8065  0.0037  0.0546  0.0525  0.2438  0.11
Nezu 2005   30  0.8230  0.0025  0.0927  0.2215  0.3923  0.29
Ohlsson 1999   6  0.897  0.048  0.084  0.5115  0.439  0.47
Olejniczak 1990   27  0.8359  0.0042  0.0642  0.0636  0.0656  0.06
Osinska 1989   15  0.8619  0.0113  0.0822  0.2919  0.2325  0.26
Perlemuter 1992   45  0.7666  0.0053  0.0362  0.0347  0.0464  0.03
Poblocka 1999   12  0.8616  0.0119  0.1115  0.4111  0.4014  0.40
Rangell 2001   54  0.7550  0.0057  0.0457  0.0453  0.0462  0.04
Richter 1960   49  0.7646  0.0052  0.0460  0.0429  0.1549  0.08
Richter 1961   56  0.7260  0.0061  0.0455  0.0429  0.2439  0.10
Rosen 1989   40  0.8013  0.0227  0.0825  0.2318  0.2628  0.24
Rubinstein 1939   36  0.8124  0.0135  0.0637  0.0630  0.1543  0.09
Rubinstein 1952   33  0.828  0.0423  0.1016  0.4121  0.2321  0.31
Rubinstein 1966   10  0.8629  0.0017  0.0713  0.4318  0.2420  0.32
Rudanovskaya 2007   53  0.7534  0.0062  0.0456  0.0434  0.0758  0.05
Shebanova 2002   8  0.872  0.172  0.175  0.514  0.545  0.52
Smith 1975   37  0.8152  0.0032  0.0632  0.1120  0.2829  0.18
Sztompka 1959   31  0.8248  0.0048  0.0733  0.0718  0.2933  0.14
Tanyel 1992   48  0.7635  0.0054  0.0544  0.0558  0.0461  0.04
Tsujii 2005   7  0.8731  0.007  0.1112  0.4518  0.3117  0.37
Uninsky 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Vardi 1988   50  0.7626  0.0155  0.0553  0.0527  0.2141  0.10
Wasowski 1980   13  0.8623  0.0120  0.147  0.5015  0.3313  0.41
Zimerman 1975   23  0.8443  0.0028  0.0631  0.1420  0.2230  0.18
Random 1   66  -0.1761  0.0065  0.0265  0.0243  0.0465  0.03
Random 2   65  -0.0262  0.0066  0.0166  0.0139  0.0666  0.02
Random 3   64  0.1363  0.0064  0.0458  0.0426  0.1550  0.08

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).