Gornostaeva 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   72  0.3569  0.0082  0.0378  0.0347  0.0578  0.04
Anderszewski 2003   11  0.5411  0.015  0.177  0.6019  0.508  0.55
Ashkenazy 1981   62  0.3937  0.0070  0.0467  0.0429  0.2655  0.10
Bacha 2000   85  0.2838  0.0085  0.0284  0.0269  0.0388  0.02
Badura 1965   61  0.4066  0.0050  0.0466  0.0418  0.3849  0.12
Barbosa 1983   20  0.5267  0.0022  0.0819  0.4462  0.0638  0.16
Biret 1990   50  0.4374  0.0032  0.0931  0.3340  0.1335  0.21
Blet 2003   47  0.4332  0.0053  0.0549  0.0512  0.3942  0.14
Block 1995   52  0.4248  0.0033  0.0933  0.2724  0.3829  0.32
Blumental 1952   39  0.4540  0.0041  0.0540  0.1069  0.0563  0.07
Boshniakovich 1969   5  0.571  0.301  0.301  0.715  0.621  0.66
Brailowsky 1960   60  0.4080  0.0061  0.0552  0.0545  0.0865  0.06
Bunin 1987   25  0.5122  0.0013  0.1115  0.494  0.619  0.55
Bunin 1987b   30  0.4817  0.0024  0.0827  0.379  0.5616  0.46
Chiu 1999   68  0.3675  0.0048  0.0558  0.0536  0.1953  0.10
Cohen 1997   73  0.3458  0.0073  0.0377  0.0334  0.1564  0.07
Cortot 1951   82  0.3146  0.0086  0.0375  0.0346  0.0774  0.05
Csalog 1996   37  0.4653  0.0020  0.1024  0.4018  0.3523  0.37
Czerny 1949   16  0.534  0.0412  0.1223  0.4135  0.4020  0.40
Czerny 1990   15  0.5431  0.0017  0.1613  0.5336  0.4115  0.47
Duchoud 2007   80  0.3250  0.0069  0.0371  0.0328  0.4351  0.11
Ezaki 2006   17  0.5354  0.0023  0.0920  0.4441  0.1732  0.27
Falvay 1989   3  0.572  0.252  0.328  0.5923  0.526  0.55
Farrell 1958   64  0.3870  0.0071  0.0283  0.0262  0.0583  0.03
Ferenczy 1958   31  0.4881  0.0038  0.0837  0.2317  0.5327  0.35
Fliere 1977   10  0.5541  0.0014  0.1214  0.5135  0.2921  0.38
Fou 1978   23  0.5115  0.0129  0.0829  0.3633  0.2431  0.29
Francois 1956   56  0.4112  0.0149  0.0465  0.0413  0.4346  0.13
Friedman 1923   66  0.3728  0.0058  0.0553  0.0512  0.5239  0.16
Friedman 1923b   67  0.3739  0.0059  0.0746  0.0715  0.5236  0.19
Friedman 1930   63  0.3859  0.0060  0.0647  0.0629  0.3045  0.13
Garcia 2007   36  0.4629  0.0035  0.0936  0.2410  0.5426  0.36
Garcia 2007b   19  0.527  0.0311  0.1311  0.565  0.653  0.60
Gierzod 1998   1  0.599  0.028  0.183  0.6525  0.3914  0.50
Gornostaeva 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Groot 1988   74  0.3485  0.0045  0.0554  0.0550  0.0673  0.05
Harasiewicz 1955   14  0.5455  0.0030  0.0830  0.3446  0.0740  0.15
Hatto 1993   46  0.4362  0.0055  0.0555  0.0567  0.0481  0.04
Hatto 1997   54  0.4277  0.0056  0.0942  0.0958  0.0468  0.06
Horowitz 1949   81  0.3252  0.0083  0.0285  0.0247  0.0776  0.04
Indjic 1988   53  0.4282  0.0054  0.0462  0.0467  0.0477  0.04
Kapell 1951   7  0.566  0.049  0.174  0.6319  0.555  0.59
Kissin 1993   34  0.4635  0.0057  0.0648  0.0647  0.0961  0.07
Kushner 1989   9  0.5533  0.006  0.189  0.5821  0.4411  0.51
Luisada 1991   28  0.5071  0.0036  0.0735  0.2521  0.4528  0.34
Lushtak 2004   24  0.5126  0.0025  0.0822  0.4131  0.3522  0.38
Malcuzynski 1961   8  0.553  0.073  0.162  0.6612  0.562  0.61
Magaloff 1978   33  0.4760  0.0046  0.0550  0.0551  0.0766  0.06
Magin 1975   4  0.578  0.0310  0.126  0.6010  0.594  0.59
Michalowski 1933   87  0.2387  0.0087  0.0370  0.0325  0.2956  0.09
Milkina 1970   2  0.575  0.044  0.175  0.6320  0.487  0.55
Mohovich 1999   38  0.4656  0.0037  0.0934  0.2548  0.0552  0.11
Moravec 1969   27  0.5010  0.0121  0.0826  0.3728  0.3524  0.36
Morozova 2008   51  0.4318  0.0066  0.0556  0.0551  0.0767  0.06
Neighaus 1950   65  0.3849  0.0074  0.0369  0.0330  0.2557  0.09
Niedzielski 1931   75  0.3443  0.0047  0.0464  0.0419  0.3747  0.12
Ohlsson 1999   71  0.3583  0.0079  0.0286  0.0252  0.0585  0.03
Osinska 1989   6  0.5713  0.017  0.2010  0.5733  0.4312  0.50
Pachmann 1927   45  0.4330  0.0042  0.0444  0.083  0.6534  0.23
Paderewski 1930   86  0.2564  0.0077  0.0380  0.0321  0.3554  0.10
Perlemuter 1992   49  0.4365  0.0065  0.0463  0.0415  0.4243  0.13
Pierdomenico 2008   79  0.3272  0.0081  0.0381  0.0340  0.2059  0.08
Poblocka 1999   21  0.5116  0.0131  0.0928  0.3757  0.0737  0.16
Rabcewiczowa 1932   29  0.4921  0.0019  0.1118  0.4518  0.4118  0.43
Rachmaninoff 1923   70  0.3576  0.0064  0.0551  0.0565  0.0475  0.04
Rangell 2001   42  0.4514  0.0126  0.0938  0.1823  0.4233  0.27
Richter 1976   41  0.4584  0.0044  0.0443  0.0838  0.2341  0.14
Rosen 1989   18  0.5273  0.0027  0.0821  0.4114  0.4917  0.45
Rosenthal 1930   76  0.3388  0.0084  0.0374  0.0347  0.0679  0.04
Rosenthal 1931   78  0.3289  0.0078  0.0288  0.0262  0.0486  0.03
Rosenthal 1931b   83  0.3090  0.0076  0.0379  0.0343  0.1369  0.06
Rosenthal 1931c   77  0.3278  0.0068  0.0372  0.0355  0.0682  0.04
Rosenthal 1931d   84  0.2834  0.0080  0.0382  0.0357  0.0580  0.04
Rossi 2007   57  0.4136  0.0062  0.0460  0.0426  0.3050  0.11
Rubinstein 1939   43  0.4423  0.0051  0.0461  0.0445  0.0670  0.05
Rubinstein 1952   35  0.4642  0.0039  0.0939  0.1859  0.0558  0.09
Rubinstein 1966   26  0.5124  0.0018  0.0917  0.4644  0.2130  0.31
Schilhawsky 1960   59  0.4057  0.0075  0.0376  0.0368  0.0487  0.03
Shebanova 2002   44  0.4468  0.0043  0.0445  0.0846  0.0762  0.07
Smith 1975   32  0.4845  0.0034  0.0832  0.2920  0.4525  0.36
Sokolov 2002   55  0.4225  0.0052  0.0557  0.0534  0.3244  0.13
Sztompka 1959   58  0.4019  0.0072  0.0373  0.0366  0.0484  0.03
Tomsic 1995   40  0.4544  0.0040  0.0441  0.0940  0.1748  0.12
Uninsky 1932   69  0.3651  0.0067  0.0468  0.0449  0.0672  0.05
Uninsky 1971   48  0.4347  0.0063  0.0559  0.0566  0.0571  0.05
Wasowski 1980   12  0.5420  0.0015  0.1412  0.5517  0.4910  0.52
Zak 1937   22  0.5186  0.0028  0.0825  0.3923  0.4119  0.40
Zak 1951   13  0.5427  0.0016  0.1216  0.4919  0.5113  0.50
Random 1   88  0.0463  0.0088  0.0287  0.0219  0.3660  0.08
Random 2   89  -0.0179  0.0090  0.0190  0.0176  0.0389  0.02
Random 3   90  -0.0961  0.0089  0.0189  0.0159  0.0390  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).