Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.1256  0.0043  0.0645  0.0652  0.0549  0.05
Ax 1995   62  0.2052  0.0058  0.0459  0.0463  0.0260  0.03
Bacha 1998   45  0.3344  0.0035  0.0838  0.0837  0.0636  0.07
Barbosa 1983   31  0.4024  0.0013  0.0914  0.5032  0.1710  0.29
BenOr 1989   1  0.551  0.341  0.333  0.6922  0.412  0.53
Biret 1990   30  0.4032  0.0034  0.0835  0.0850  0.0542  0.06
Brailowsky 1960   53  0.2731  0.0054  0.0554  0.0557  0.0450  0.04
Chiu 1999   51  0.3066  0.0053  0.0742  0.0762  0.0445  0.05
Clidat 1994   54  0.2655  0.0055  0.0650  0.0662  0.0354  0.04
Cohen 1997   55  0.2538  0.0042  0.0553  0.0529  0.2829  0.12
Cortot 1951   6  0.518  0.0311  0.188  0.5810  0.393  0.48
Csalog 1996   12  0.4846  0.0016  0.1313  0.5249  0.0520  0.16
Czerny 1989   8  0.5014  0.014  0.187  0.6131  0.198  0.34
Ezaki 2006   27  0.417  0.0424  0.1224  0.3344  0.0624  0.14
Falvay 1989   4  0.5113  0.015  0.185  0.6353  0.0517  0.18
Fiorentino 1962   21  0.4443  0.0020  0.0817  0.4838  0.0816  0.20
Fliere 1977   17  0.4622  0.0018  0.1020  0.4725  0.209  0.31
Fou 1978   2  0.554  0.073  0.262  0.7022  0.294  0.45
Francois 1956   50  0.3030  0.0056  0.0558  0.0554  0.0458  0.04
Goldenweiser 1946   38  0.3918  0.0138  0.0740  0.0759  0.0444  0.05
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   32  0.4057  0.0028  0.0825  0.3254  0.0528  0.13
Hatto 1993   13  0.4750  0.0019  0.0922  0.4155  0.0526  0.14
Hatto 1997   18  0.4558  0.0023  0.1321  0.4357  0.0427  0.13
Horszowski 1983   40  0.3636  0.0029  0.0828  0.2755  0.0431  0.10
Indjic 2001   9  0.4948  0.0015  0.1011  0.5447  0.0521  0.16
Katin 1996   34  0.4064  0.0044  0.0552  0.0565  0.0352  0.04
Kiepura 1999   46  0.3347  0.0032  0.0832  0.1840  0.0730  0.11
Korecka 1992   5  0.516  0.048  0.174  0.6711  0.611  0.64
Kushner 1990   37  0.3928  0.0036  0.0741  0.0742  0.0639  0.06
Lilamand 2001   47  0.3259  0.0049  0.0836  0.0857  0.0440  0.06
Luisada 1990   10  0.4826  0.0014  0.1010  0.5537  0.0814  0.21
Luisada 2008   28  0.4120  0.0031  0.0831  0.1952  0.0532  0.10
Lushtak 2004   14  0.4610  0.029  0.1519  0.4831  0.1312  0.25
Malcuzynski 1951   26  0.4340  0.0026  0.0827  0.2825  0.2911  0.28
Malcuzynski 1961   22  0.445  0.066  0.1612  0.5345  0.0618  0.18
Magaloff 1977   24  0.4319  0.0133  0.0833  0.1559  0.0435  0.08
Magin 1975   16  0.4641  0.0022  0.1418  0.4856  0.0522  0.15
Meguri 1997   43  0.3439  0.0048  0.0646  0.0654  0.0447  0.05
Milkina 1970   33  0.4051  0.0040  0.1034  0.1051  0.0537  0.07
Mohovich 1999   11  0.4811  0.027  0.199  0.5734  0.0815  0.21
Nezu 2005   35  0.3953  0.0046  0.0551  0.0562  0.0356  0.04
Ohlsson 1999   63  0.1945  0.0066  0.0266  0.0266  0.0265  0.02
Olejniczak 1990   20  0.4416  0.0117  0.1015  0.4924  0.256  0.35
Osinska 1989   23  0.4437  0.0021  0.1023  0.3833  0.1413  0.23
Perlemuter 1992   57  0.2427  0.0065  0.0265  0.0265  0.0262  0.02
Poblocka 1999   39  0.3717  0.0147  0.0649  0.0662  0.0351  0.04
Rangell 2001   52  0.2762  0.0057  0.0556  0.0564  0.0357  0.04
Richter 1960   41  0.3634  0.0045  0.0555  0.0557  0.0548  0.05
Richter 1961   15  0.469  0.0212  0.1116  0.4931  0.237  0.34
Rosen 1989   59  0.2363  0.0062  0.0360  0.0363  0.0266  0.02
Rubinstein 1939   49  0.3012  0.0152  0.0743  0.0761  0.0346  0.05
Rubinstein 1952   48  0.3149  0.0041  0.0744  0.0744  0.0643  0.06
Rubinstein 1966   42  0.3615  0.0130  0.0930  0.2361  0.0334  0.08
Rudanovskaya 2007   25  0.4342  0.0039  0.0837  0.0848  0.0541  0.06
Shebanova 2002   44  0.3354  0.0050  0.0648  0.0662  0.0353  0.04
Smith 1975   60  0.2360  0.0064  0.0264  0.0266  0.0263  0.02
Sztompka 1959   36  0.3925  0.0037  0.0739  0.0741  0.0638  0.06
Tanyel 1992   61  0.2167  0.0059  0.0557  0.0558  0.0455  0.04
Tsujii 2005   19  0.4529  0.0027  0.0929  0.2559  0.0433  0.10
Uninsky 1959   58  0.2465  0.0061  0.0263  0.0266  0.0264  0.02
Vardi 1988   7  0.503  0.0710  0.146  0.6127  0.205  0.35
Wasowski 1980   56  0.2423  0.0060  0.0262  0.0261  0.0361  0.02
Zimerman 1975   29  0.4021  0.0025  0.0726  0.2939  0.0725  0.14
Average   3  0.552  0.172  0.281  0.7559  0.0419  0.17
Random 1   67  -0.0133  0.0067  0.0167  0.0148  0.0467  0.02
Random 2   65  0.1035  0.0051  0.0647  0.0615  0.4023  0.15
Random 3   66  0.0061  0.0063  0.0361  0.0344  0.0459  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).