Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   58  0.3271  0.0059  0.0561  0.0550  0.0570  0.05
Anderszewski 2003   42  0.352  0.064  0.1714  0.4626  0.477  0.46
Ashkenazy 1981   28  0.3837  0.0042  0.0741  0.1856  0.0748  0.11
Bacha 2000   45  0.3444  0.0056  0.0562  0.0531  0.2544  0.11
Badura 1965   51  0.3332  0.0048  0.0657  0.0618  0.4135  0.16
Barbosa 1983   50  0.3333  0.0039  0.0637  0.1949  0.0843  0.12
Biret 1990   47  0.3368  0.0058  0.0475  0.0465  0.0480  0.04
Blet 2003   38  0.3659  0.0046  0.0846  0.0832  0.3234  0.16
Block 1995   31  0.3845  0.0016  0.1119  0.4131  0.3115  0.36
Blumental 1952   49  0.3346  0.0061  0.0467  0.0473  0.0579  0.04
Boshniakovich 1969   22  0.3916  0.0110  0.1117  0.4342  0.1724  0.27
Brailowsky 1960   75  0.2534  0.0076  0.0476  0.0461  0.0665  0.05
Bunin 1987   48  0.3365  0.0037  0.0540  0.1931  0.2928  0.23
Bunin 1987b   46  0.3423  0.0032  0.0632  0.2328  0.3921  0.30
Chiu 1999   67  0.2972  0.0069  0.0469  0.0468  0.0473  0.04
Cohen 1997   34  0.377  0.0236  0.0539  0.1919  0.5618  0.33
Cortot 1951   86  0.1666  0.0084  0.0482  0.0472  0.0388  0.03
Csalog 1996   41  0.3526  0.0049  0.0654  0.0643  0.1158  0.08
Czerny 1949   61  0.3280  0.0054  0.0563  0.0537  0.3240  0.13
Czerny 1990   39  0.3614  0.0157  0.0656  0.0679  0.0471  0.05
Duchoud 2007   56  0.3212  0.0133  0.0634  0.2216  0.4619  0.32
Ezaki 2006   3  0.495  0.032  0.232  0.738  0.671  0.70
Falvay 1989   2  0.493  0.063  0.353  0.705  0.622  0.66
Farrell 1958   74  0.269  0.0234  0.0545  0.1041  0.1442  0.12
Ferenczy 1958   73  0.2679  0.0068  0.0566  0.0533  0.4238  0.14
Fliere 1977   23  0.3957  0.0041  0.0835  0.2086  0.0355  0.08
Fou 1978   26  0.3864  0.0029  0.0730  0.2553  0.0545  0.11
Francois 1956   69  0.2881  0.0064  0.0655  0.0637  0.1852  0.10
Friedman 1923   87  0.1584  0.0087  0.0287  0.0282  0.0390  0.02
Friedman 1923b   88  0.1577  0.0088  0.0386  0.0382  0.0387  0.03
Friedman 1930   78  0.2341  0.0081  0.0470  0.0481  0.0386  0.03
Garcia 2007   44  0.3421  0.0030  0.0726  0.3017  0.4614  0.37
Garcia 2007b   30  0.3828  0.0031  0.0531  0.2425  0.4220  0.32
Gierzod 1998   35  0.3720  0.009  0.1116  0.4334  0.2617  0.33
Gornostaeva 1994   40  0.3573  0.0051  0.0848  0.0855  0.0562  0.06
Groot 1988   12  0.4215  0.0115  0.1111  0.4929  0.3612  0.42
Harasiewicz 1955   7  0.4310  0.0114  0.127  0.5745  0.1225  0.26
Hatto 1993   14  0.4127  0.0018  0.1012  0.4847  0.0832  0.20
Hatto 1997   9  0.4235  0.0012  0.129  0.5523  0.378  0.45
Horowitz 1949   72  0.2636  0.0079  0.0383  0.0363  0.0484  0.03
Indjic 1988   6  0.4418  0.0013  0.138  0.5526  0.406  0.47
Kapell 1951   13  0.4230  0.0021  0.0822  0.3940  0.1130  0.21
Kissin 1993   18  0.4047  0.0022  0.0923  0.3929  0.499  0.44
Kushner 1989   4  0.4613  0.017  0.134  0.6232  0.2911  0.42
Luisada 1991   36  0.3663  0.0040  0.0738  0.1943  0.1236  0.15
Lushtak 2004   53  0.3254  0.0028  0.0628  0.2734  0.1731  0.21
Malcuzynski 1961   5  0.4429  0.008  0.176  0.5724  0.455  0.51
Magaloff 1978   60  0.3252  0.0070  0.0472  0.0484  0.0382  0.03
Magin 1975   29  0.3843  0.0044  0.0642  0.1443  0.1737  0.15
Michalowski 1933   84  0.1774  0.0085  0.0477  0.0484  0.0385  0.03
Milkina 1970   32  0.3756  0.0019  0.0915  0.4530  0.4110  0.43
Mohovich 1999   10  0.4219  0.005  0.2210  0.5418  0.544  0.54
Moravec 1969   8  0.4325  0.0024  0.1121  0.3930  0.3216  0.35
Morozova 2008   17  0.404  0.046  0.195  0.5916  0.513  0.55
Neighaus 1950   54  0.3260  0.0065  0.0849  0.0869  0.0463  0.06
Niedzielski 1931   71  0.2869  0.0072  0.0653  0.0676  0.0467  0.05
Ohlsson 1999   37  0.3651  0.0038  0.0636  0.2052  0.0550  0.10
Osinska 1989   33  0.3748  0.0045  0.0743  0.1464  0.0556  0.08
Pachmann 1927   66  0.3061  0.0060  0.0559  0.0536  0.1949  0.10
Paderewski 1930   80  0.2276  0.0078  0.0384  0.0360  0.0577  0.04
Perlemuter 1992   57  0.3288  0.0063  0.0558  0.0564  0.0564  0.05
Pierdomenico 2008   59  0.3250  0.0062  0.0468  0.0467  0.0475  0.04
Poblocka 1999   43  0.3553  0.0050  0.0752  0.0762  0.0560  0.06
Rabcewiczowa 1932   63  0.3149  0.0055  0.0565  0.0556  0.0668  0.05
Rachmaninoff 1923   83  0.1985  0.0082  0.0385  0.0383  0.0383  0.03
Rangell 2001   52  0.3331  0.0047  0.0850  0.0838  0.2639  0.14
Richter 1976   20  0.408  0.0227  0.0733  0.2249  0.0646  0.11
Rosen 1989   21  0.4042  0.0017  0.1218  0.4234  0.1823  0.27
Rosenthal 1930   82  0.1982  0.0083  0.0480  0.0472  0.0478  0.04
Rosenthal 1931   77  0.2475  0.0074  0.0471  0.0437  0.2847  0.11
Rosenthal 1931b   79  0.2278  0.0077  0.0479  0.0441  0.1759  0.08
Rosenthal 1931c   70  0.2858  0.0071  0.0474  0.0450  0.0672  0.05
Rosenthal 1931d   81  0.2083  0.0080  0.0481  0.0465  0.0481  0.04
Rossi 2007   76  0.2438  0.0073  0.0473  0.0442  0.1857  0.08
Rubinstein 1939   64  0.3155  0.0052  0.0751  0.0758  0.0466  0.05
Rubinstein 1952   16  0.416  0.0320  0.0924  0.3741  0.2122  0.28
Rubinstein 1966   15  0.4124  0.0011  0.1113  0.4762  0.0633  0.17
Schilhawsky 1960   85  0.1662  0.0086  0.0289  0.0278  0.0389  0.02
Shebanova 2002   11  0.4289  0.0023  0.1020  0.4045  0.1527  0.24
Smith 1975   68  0.2939  0.0075  0.0564  0.0564  0.0474  0.04
Sokolov 2002   24  0.3911  0.0126  0.0727  0.3018  0.4813  0.38
Sztompka 1959   27  0.3840  0.0043  0.0644  0.1353  0.0653  0.09
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   55  0.3287  0.0053  0.0847  0.0852  0.0561  0.06
Uninsky 1971   25  0.3922  0.0025  0.0825  0.3444  0.1429  0.22
Wasowski 1980   19  0.4017  0.0035  0.0629  0.2653  0.0641  0.12
Zak 1937   65  0.3170  0.0067  0.0478  0.0473  0.0476  0.04
Zak 1951   62  0.3186  0.0066  0.0560  0.0549  0.0669  0.05
Average   1  0.561  0.601  0.591  0.8447  0.0726  0.24
Random 1   90  0.0090  0.0090  0.0288  0.025  0.4951  0.10
Random 2   89  0.0467  0.0089  0.0290  0.0214  0.4154  0.09
Random 3   91  -0.0891  0.0091  0.0191  0.0188  0.0291  0.01

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).