Rudanovskaya 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   3  0.523  0.152  0.202  0.6829  0.231  0.40
Ax 1995   9  0.489  0.027  0.153  0.6348  0.085  0.22
Bacha 1998   53  0.3452  0.0042  0.0643  0.0651  0.0637  0.06
Barbosa 1983   45  0.3747  0.0052  0.0462  0.0461  0.0460  0.04
BenOr 1989   18  0.4523  0.0127  0.0927  0.2854  0.0722  0.14
Biret 1990   26  0.4240  0.0029  0.0729  0.2359  0.0432  0.10
Brailowsky 1960   21  0.4448  0.0025  0.1017  0.4149  0.0713  0.17
Chiu 1999   30  0.4129  0.0035  0.0735  0.0739  0.0636  0.06
Clidat 1994   8  0.486  0.0510  0.179  0.5559  0.0419  0.15
Cohen 1997   62  0.2733  0.0060  0.0457  0.0429  0.1434  0.07
Cortot 1951   64  0.1961  0.0064  0.0550  0.0561  0.0364  0.04
Csalog 1996   12  0.4710  0.0213  0.1515  0.4432  0.153  0.26
Czerny 1989   28  0.4150  0.0028  0.0925  0.3360  0.0524  0.13
Ezaki 2006   44  0.3727  0.0044  0.0646  0.0663  0.0442  0.05
Falvay 1989   4  0.5012  0.0211  0.1411  0.5158  0.0614  0.17
Fiorentino 1962   36  0.3926  0.0037  0.0641  0.0662  0.0454  0.05
Fliere 1977   11  0.474  0.085  0.1510  0.5340  0.088  0.21
Fou 1978   10  0.4811  0.026  0.187  0.5844  0.079  0.20
Francois 1956   38  0.3931  0.0032  0.0931  0.2055  0.0629  0.11
Goldenweiser 1946   32  0.4021  0.0148  0.0549  0.0558  0.0544  0.05
Gornostaeva 1994   46  0.3765  0.0053  0.0456  0.0458  0.0463  0.04
Groot 1988   6  0.498  0.038  0.264  0.6242  0.086  0.22
Hatto 1993   23  0.4325  0.0017  0.0916  0.4260  0.0523  0.14
Hatto 1997   15  0.4535  0.0016  0.1614  0.4650  0.0711  0.18
Horszowski 1983   61  0.2757  0.0061  0.0458  0.0457  0.0456  0.04
Indjic 2001   16  0.4513  0.0114  0.1713  0.4859  0.0520  0.15
Katin 1996   47  0.3634  0.0041  0.0645  0.0659  0.0449  0.05
Kiepura 1999   33  0.3937  0.0050  0.0644  0.0659  0.0543  0.05
Korecka 1992   40  0.3855  0.0043  0.0547  0.0544  0.0838  0.06
Kushner 1990   7  0.497  0.039  0.198  0.5761  0.0418  0.15
Lilamand 2001   55  0.3432  0.0051  0.0464  0.0442  0.0650  0.05
Luisada 1990   58  0.3163  0.0059  0.0638  0.0660  0.0552  0.05
Luisada 2008   49  0.3536  0.0055  0.0459  0.0461  0.0461  0.04
Lushtak 2004   31  0.4053  0.0033  0.0833  0.1559  0.0533  0.09
Malcuzynski 1951   37  0.3956  0.0040  0.0640  0.0662  0.0555  0.05
Malcuzynski 1961   50  0.3544  0.0047  0.0555  0.0561  0.0548  0.05
Magaloff 1977   59  0.3051  0.0054  0.0463  0.0461  0.0462  0.04
Magin 1975   56  0.3359  0.0057  0.0552  0.0556  0.0647  0.05
Meguri 1997   43  0.3828  0.0034  0.0736  0.0747  0.0539  0.06
Milkina 1970   42  0.3862  0.0022  0.0720  0.3955  0.0616  0.15
Mohovich 1999   25  0.4215  0.0130  0.0928  0.2451  0.0627  0.12
Nezu 2005   39  0.3860  0.0039  0.0737  0.0762  0.0453  0.05
Ohlsson 1999   27  0.4143  0.0021  0.0826  0.3260  0.0428  0.11
Olejniczak 1990   5  0.492  0.164  0.216  0.6042  0.087  0.22
Osinska 1989   19  0.4416  0.0119  0.0821  0.3848  0.0812  0.17
Perlemuter 1992   57  0.3249  0.0056  0.0461  0.0454  0.0457  0.04
Poblocka 1999   52  0.3545  0.0058  0.0551  0.0560  0.0545  0.05
Rangell 2001   60  0.2946  0.0062  0.0460  0.0464  0.0366  0.03
Richter 1960   35  0.3964  0.0049  0.0642  0.0664  0.0451  0.05
Richter 1961   41  0.3817  0.0145  0.0554  0.0538  0.0735  0.06
Rosen 1989   24  0.4341  0.0024  0.0824  0.3359  0.0525  0.13
Rubinstein 1939   54  0.3420  0.0138  0.0639  0.0663  0.0358  0.04
Rubinstein 1952   29  0.4139  0.0023  0.0723  0.3657  0.0526  0.13
Rubinstein 1966   48  0.3630  0.0036  0.0834  0.0857  0.0540  0.06
Rudanovskaya 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   17  0.4514  0.0115  0.1418  0.4132  0.272  0.33
Smith 1975   51  0.3558  0.0046  0.0553  0.0553  0.0646  0.05
Sztompka 1959   63  0.2466  0.0063  0.0548  0.0562  0.0459  0.04
Tanyel 1992   14  0.4622  0.0112  0.1212  0.4953  0.0615  0.17
Tsujii 2005   2  0.525  0.073  0.285  0.6049  0.0710  0.20
Uninsky 1959   22  0.4338  0.0026  0.0822  0.3648  0.0617  0.15
Vardi 1988   13  0.4618  0.0118  0.0819  0.3952  0.0521  0.14
Wasowski 1980   34  0.3919  0.0120  0.0632  0.1549  0.0730  0.10
Zimerman 1975   20  0.4424  0.0031  0.0930  0.2159  0.0531  0.10
Average   1  0.561  0.221  0.211  0.7753  0.074  0.23
Random 1   67  -0.0642  0.0067  0.0167  0.0148  0.0467  0.02
Random 2   65  -0.0467  0.0065  0.0265  0.0230  0.1841  0.06
Random 3   66  -0.0654  0.0066  0.0266  0.0251  0.0465  0.03

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).