Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.4333  0.0056  0.0849  0.0886  0.0274  0.04
Anderszewski 2003   24  0.4924  0.0026  0.0920  0.4758  0.0429  0.14
Ashkenazy 1981   62  0.3851  0.0061  0.0659  0.0681  0.0375  0.04
Bacha 2000   55  0.4040  0.0041  0.0540  0.1479  0.0346  0.06
Badura 1965   60  0.3972  0.0054  0.0755  0.0761  0.0551  0.06
Barbosa 1983   44  0.4361  0.0023  0.0732  0.3438  0.1815  0.25
Biret 1990   32  0.4773  0.0027  0.0925  0.4358  0.0433  0.13
Blet 2003   38  0.4539  0.0047  0.0752  0.0761  0.0550  0.06
Block 1995   16  0.527  0.0217  0.0911  0.5527  0.258  0.37
Blumental 1952   56  0.4042  0.0039  0.0638  0.1776  0.0440  0.08
Boshniakovich 1969   19  0.5149  0.0034  0.0734  0.3361  0.0532  0.13
Brailowsky 1960   61  0.3918  0.0165  0.0565  0.0575  0.0463  0.04
Bunin 1987   74  0.3264  0.0077  0.0569  0.0563  0.0476  0.04
Bunin 1987b   73  0.3259  0.0076  0.0661  0.0682  0.0367  0.04
Chiu 1999   52  0.4225  0.0046  0.0850  0.0853  0.0548  0.06
Cohen 1997   70  0.3435  0.0055  0.0753  0.0744  0.1042  0.08
Cortot 1951   80  0.2837  0.0068  0.0576  0.0584  0.0377  0.04
Csalog 1996   9  0.5532  0.006  0.139  0.599  0.503  0.54
Czerny 1949   64  0.3887  0.0070  0.0660  0.0682  0.0373  0.04
Czerny 1990   28  0.4838  0.0040  0.0542  0.1370  0.0445  0.07
Duchoud 2007   59  0.3958  0.0052  0.0662  0.0653  0.0560  0.05
Ezaki 2006   15  0.5341  0.0024  0.0818  0.4850  0.0619  0.17
Falvay 1989   2  0.625  0.033  0.222  0.689  0.532  0.60
Farrell 1958   29  0.4846  0.0021  0.1024  0.4665  0.0521  0.15
Ferenczy 1958   58  0.3962  0.0066  0.0568  0.0563  0.0472  0.04
Fliere 1977   26  0.4966  0.0033  0.1233  0.3382  0.0335  0.10
Fou 1978   17  0.5223  0.0015  0.0814  0.5264  0.0424  0.14
Francois 1956   57  0.4074  0.0057  0.0945  0.0968  0.0453  0.06
Friedman 1923   86  0.2480  0.0086  0.0381  0.0375  0.0486  0.03
Friedman 1923b   85  0.2488  0.0085  0.0383  0.0373  0.0484  0.03
Friedman 1930   84  0.2589  0.0087  0.0380  0.0371  0.0482  0.03
Garcia 2007   41  0.4436  0.0032  0.1228  0.3660  0.0531  0.13
Garcia 2007b   48  0.4354  0.0051  0.0567  0.0555  0.0478  0.04
Gierzod 1998   11  0.5417  0.0114  0.0817  0.5068  0.0430  0.14
Gornostaeva 1994   31  0.4755  0.0043  0.0641  0.1485  0.0352  0.06
Groot 1988   13  0.5427  0.0011  0.1515  0.5229  0.239  0.35
Harasiewicz 1955   22  0.5022  0.0028  0.1023  0.4678  0.0334  0.12
Hatto 1993   67  0.3765  0.0060  0.0658  0.0675  0.0462  0.05
Hatto 1997   63  0.3848  0.0058  0.0847  0.0887  0.0359  0.05
Horowitz 1949   68  0.3663  0.0071  0.0477  0.0472  0.0468  0.04
Indjic 1988   65  0.3843  0.0059  0.0848  0.0886  0.0358  0.05
Kapell 1951   10  0.5514  0.0118  0.1016  0.5160  0.0425  0.14
Kissin 1993   12  0.5428  0.0016  0.0912  0.5559  0.0520  0.17
Kushner 1989   6  0.5719  0.008  0.208  0.5946  0.0917  0.23
Luisada 1991   43  0.4377  0.0036  0.0639  0.1566  0.0536  0.09
Lushtak 2004   18  0.5216  0.0112  0.1213  0.5441  0.1314  0.26
Malcuzynski 1961   45  0.4347  0.0042  0.0644  0.1183  0.0349  0.06
Magaloff 1978   33  0.4753  0.0037  0.0637  0.1856  0.0438  0.08
Magin 1975   40  0.4450  0.0048  0.0563  0.0566  0.0466  0.04
Michalowski 1933   87  0.2378  0.0081  0.0385  0.0385  0.0379  0.03
Milkina 1970   3  0.592  0.082  0.324  0.6535  0.325  0.46
Mohovich 1999   1  0.641  0.551  0.541  0.7415  0.591  0.66
Moravec 1969   54  0.4144  0.0064  0.0846  0.0876  0.0354  0.05
Morozova 2008   23  0.494  0.0410  0.1410  0.5644  0.1016  0.24
Neighaus 1950   66  0.3769  0.0069  0.0573  0.0561  0.0561  0.05
Niedzielski 1931   71  0.3431  0.0075  0.0572  0.0559  0.0556  0.05
Ohlsson 1999   27  0.4921  0.0031  0.1521  0.4656  0.0522  0.15
Osinska 1989   4  0.5826  0.007  0.197  0.6055  0.0718  0.20
Pachmann 1927   39  0.4420  0.0049  0.0566  0.0520  0.3928  0.14
Paderewski 1930   75  0.3190  0.0072  0.0575  0.0568  0.0370  0.04
Perlemuter 1992   35  0.4645  0.0044  0.0643  0.1270  0.0443  0.07
Pierdomenico 2008   30  0.4813  0.0120  0.0829  0.3629  0.3210  0.34
Poblocka 1999   37  0.4529  0.0050  0.0564  0.0574  0.0464  0.04
Rabcewiczowa 1932   49  0.4281  0.0038  0.0536  0.2181  0.0339  0.08
Rachmaninoff 1923   78  0.2982  0.0074  0.0571  0.0574  0.0465  0.04
Rangell 2001   36  0.4552  0.0013  0.1131  0.3432  0.2912  0.31
Richter 1976   69  0.368  0.0267  0.0574  0.0564  0.0469  0.04
Rosen 1989   5  0.579  0.015  0.275  0.6330  0.287  0.42
Rosenthal 1930   82  0.2675  0.0084  0.0386  0.0385  0.0288  0.02
Rosenthal 1931   76  0.3060  0.0078  0.0478  0.0484  0.0380  0.03
Rosenthal 1931b   81  0.2857  0.0080  0.0287  0.0286  0.0290  0.02
Rosenthal 1931c   77  0.3083  0.0079  0.0479  0.0484  0.0385  0.03
Rosenthal 1931d   83  0.2684  0.0083  0.0382  0.0386  0.0289  0.02
Rossi 2007   42  0.446  0.0322  0.1030  0.3528  0.3211  0.33
Rubinstein 1939   25  0.4934  0.0030  0.1319  0.4840  0.1513  0.27
Rubinstein 1952   8  0.5611  0.019  0.216  0.6129  0.356  0.46
Rubinstein 1966   7  0.573  0.054  0.203  0.6527  0.384  0.50
Schilhawsky 1960   79  0.2879  0.0082  0.0384  0.0374  0.0481  0.03
Shebanova 2002   14  0.5330  0.0025  0.1122  0.4651  0.0523  0.15
Smith 1975   53  0.4276  0.0062  0.0657  0.0658  0.0555  0.05
Sokolov 2002   47  0.4315  0.0135  0.0935  0.2879  0.0337  0.09
Sztompka 1959   50  0.4270  0.0053  0.0656  0.0685  0.0371  0.04
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   72  0.3367  0.0073  0.0570  0.0586  0.0283  0.03
Uninsky 1971   51  0.4268  0.0063  0.0754  0.0784  0.0457  0.05
Wasowski 1980   34  0.4612  0.0145  0.0751  0.0754  0.0647  0.06
Zak 1937   20  0.5185  0.0029  0.1227  0.3959  0.0526  0.14
Zak 1951   21  0.5010  0.0119  0.0826  0.4061  0.0527  0.14
Random 1   89  -0.0456  0.0088  0.0288  0.0220  0.3041  0.08
Random 2   90  -0.0971  0.0090  0.0190  0.0169  0.0387  0.02
Random 3   88  -0.0486  0.0089  0.0289  0.0226  0.2344  0.07

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).