Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   73  0.3567  0.0083  0.0379  0.0348  0.0579  0.04
Anderszewski 2003   12  0.5422  0.006  0.178  0.6020  0.509  0.55
Ashkenazy 1981   63  0.3933  0.0071  0.0468  0.0430  0.2656  0.10
Bacha 2000   86  0.2837  0.0086  0.0285  0.0270  0.0389  0.02
Badura 1965   62  0.4065  0.0051  0.0467  0.0419  0.3850  0.12
Barbosa 1983   21  0.5266  0.0023  0.0720  0.4463  0.0639  0.16
Biret 1990   51  0.4373  0.0033  0.0932  0.3341  0.1336  0.21
Blet 2003   48  0.4328  0.0054  0.0550  0.0513  0.3943  0.14
Block 1995   53  0.4247  0.0034  0.0934  0.2725  0.3830  0.32
Blumental 1952   40  0.4539  0.0042  0.0541  0.1070  0.0564  0.07
Boshniakovich 1969   6  0.574  0.022  0.302  0.716  0.621  0.66
Brailowsky 1960   61  0.4079  0.0062  0.0553  0.0546  0.0866  0.06
Bunin 1987   26  0.5129  0.0014  0.1116  0.495  0.6110  0.55
Bunin 1987b   31  0.4815  0.0025  0.0828  0.3710  0.5617  0.46
Chiu 1999   69  0.3674  0.0049  0.0559  0.0537  0.1954  0.10
Cohen 1997   74  0.3455  0.0074  0.0378  0.0335  0.1565  0.07
Cortot 1951   83  0.3143  0.0087  0.0376  0.0347  0.0774  0.05
Csalog 1996   38  0.4676  0.0021  0.0925  0.4019  0.3524  0.37
Czerny 1949   17  0.537  0.0113  0.1224  0.4136  0.4021  0.40
Czerny 1990   16  0.5427  0.0018  0.1514  0.5337  0.4116  0.47
Duchoud 2007   81  0.3248  0.0070  0.0372  0.0329  0.4352  0.11
Ezaki 2006   18  0.5356  0.0024  0.0921  0.4442  0.1733  0.27
Falvay 1989   4  0.572  0.153  0.329  0.5924  0.527  0.55
Farrell 1958   65  0.3868  0.0072  0.0284  0.0263  0.0583  0.03
Ferenczy 1958   32  0.4880  0.0039  0.0838  0.2318  0.5328  0.35
Fliere 1977   11  0.5535  0.0015  0.1215  0.5136  0.2922  0.38
Fou 1978   24  0.5111  0.0130  0.0830  0.3634  0.2432  0.29
Francois 1956   57  0.418  0.0150  0.0466  0.0414  0.4347  0.13
Friedman 1923   67  0.3734  0.0059  0.0554  0.0513  0.5240  0.16
Friedman 1923b   68  0.3749  0.0060  0.0747  0.0716  0.5237  0.19
Friedman 1930   64  0.3857  0.0061  0.0648  0.0630  0.3046  0.13
Garcia 2007   37  0.4626  0.0036  0.0937  0.2411  0.5427  0.36
Garcia 2007b   20  0.525  0.0212  0.1312  0.566  0.654  0.60
Gierzod 1998   2  0.5918  0.009  0.184  0.6526  0.3915  0.50
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   75  0.3484  0.0046  0.0555  0.0551  0.0573  0.05
Harasiewicz 1955   15  0.5453  0.0031  0.0831  0.3447  0.0741  0.15
Hatto 1993   47  0.4360  0.0056  0.0556  0.0568  0.0481  0.04
Hatto 1997   55  0.4281  0.0057  0.0943  0.0959  0.0469  0.06
Horowitz 1949   82  0.3252  0.0084  0.0286  0.0248  0.0776  0.04
Indjic 1988   54  0.4285  0.0055  0.0463  0.0468  0.0478  0.04
Kapell 1951   8  0.563  0.0410  0.175  0.6320  0.556  0.59
Kissin 1993   35  0.4631  0.0058  0.0649  0.0648  0.0962  0.07
Kushner 1989   10  0.5550  0.007  0.1710  0.5822  0.4412  0.51
Luisada 1991   29  0.5069  0.0037  0.0736  0.2522  0.4529  0.34
Lushtak 2004   25  0.5123  0.0026  0.0823  0.4132  0.3523  0.38
Malcuzynski 1961   9  0.5521  0.004  0.153  0.6613  0.562  0.61
Magaloff 1978   34  0.4761  0.0047  0.0551  0.0552  0.0767  0.06
Magin 1975   5  0.5710  0.0111  0.127  0.6011  0.595  0.59
Michalowski 1933   88  0.2388  0.0088  0.0371  0.0326  0.2957  0.09
Milkina 1970   3  0.5713  0.015  0.176  0.6321  0.488  0.55
Mohovich 1999   39  0.4670  0.0038  0.0935  0.2549  0.0553  0.11
Moravec 1969   28  0.506  0.0122  0.0827  0.3729  0.3525  0.36
Morozova 2008   52  0.4316  0.0067  0.0557  0.0552  0.0768  0.06
Neighaus 1950   66  0.3846  0.0075  0.0370  0.0331  0.2559  0.09
Niedzielski 1931   76  0.3444  0.0048  0.0465  0.0420  0.3748  0.12
Ohlsson 1999   72  0.3582  0.0080  0.0287  0.0253  0.0585  0.03
Osinska 1989   7  0.579  0.018  0.2011  0.5734  0.4313  0.50
Pachmann 1927   46  0.4330  0.0043  0.0445  0.083  0.6535  0.23
Paderewski 1930   87  0.2563  0.0078  0.0381  0.0322  0.3555  0.10
Perlemuter 1992   50  0.4364  0.0066  0.0464  0.0416  0.4244  0.13
Pierdomenico 2008   80  0.3271  0.0082  0.0382  0.0341  0.2061  0.08
Poblocka 1999   22  0.5114  0.0132  0.0929  0.3758  0.0738  0.16
Rabcewiczowa 1932   30  0.4940  0.0020  0.1119  0.4519  0.4119  0.43
Rachmaninoff 1923   71  0.3575  0.0065  0.0552  0.0566  0.0475  0.04
Rangell 2001   43  0.4512  0.0127  0.0939  0.1824  0.4234  0.27
Richter 1976   42  0.4586  0.0045  0.0444  0.0839  0.2342  0.14
Rosen 1989   19  0.5272  0.0028  0.0822  0.4115  0.4918  0.45
Rosenthal 1930   77  0.3389  0.0085  0.0375  0.0348  0.0680  0.04
Rosenthal 1931   79  0.3290  0.0079  0.0289  0.0263  0.0486  0.03
Rosenthal 1931b   84  0.3091  0.0077  0.0380  0.0344  0.1370  0.06
Rosenthal 1931c   78  0.3277  0.0069  0.0373  0.0356  0.0682  0.04
Rosenthal 1931d   85  0.2832  0.0081  0.0283  0.0258  0.0588  0.03
Rossi 2007   58  0.4136  0.0063  0.0461  0.0427  0.3051  0.11
Rubinstein 1939   44  0.4420  0.0052  0.0462  0.0446  0.0671  0.05
Rubinstein 1952   36  0.4654  0.0040  0.0940  0.1860  0.0560  0.09
Rubinstein 1966   27  0.5145  0.0019  0.0918  0.4645  0.2131  0.31
Schilhawsky 1960   60  0.4058  0.0076  0.0377  0.0369  0.0487  0.03
Shebanova 2002   45  0.4483  0.0044  0.0446  0.0847  0.0763  0.07
Smith 1975   33  0.4841  0.0035  0.0833  0.2921  0.4526  0.36
Sokolov 2002   56  0.4224  0.0053  0.0558  0.0535  0.3245  0.13
Sztompka 1959   59  0.4017  0.0073  0.0374  0.0367  0.0484  0.03
Tomsic 1995   41  0.4538  0.0041  0.0442  0.0941  0.1749  0.12
Uninsky 1932   70  0.3651  0.0068  0.0469  0.0450  0.0672  0.05
Uninsky 1971   49  0.4342  0.0064  0.0460  0.0467  0.0577  0.04
Wasowski 1980   13  0.5419  0.0016  0.1413  0.5518  0.4911  0.52
Zak 1937   23  0.5187  0.0029  0.0826  0.3924  0.4120  0.40
Zak 1951   14  0.5425  0.0017  0.1117  0.4920  0.5114  0.50
Average   1  0.701  0.591  0.591  0.8530  0.433  0.60
Random 1   89  0.0462  0.0089  0.0288  0.0219  0.3858  0.09
Random 2   90  -0.0178  0.0091  0.0191  0.0177  0.0390  0.02
Random 3   91  -0.0959  0.0090  0.0190  0.0159  0.0391  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).