Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.3271  0.0058  0.0560  0.0549  0.0569  0.05
Anderszewski 2003   41  0.353  0.093  0.1713  0.4625  0.477  0.46
Ashkenazy 1981   27  0.3842  0.0041  0.0740  0.1855  0.0747  0.11
Bacha 2000   44  0.3448  0.0055  0.0561  0.0530  0.2544  0.11
Badura 1965   50  0.3337  0.0047  0.0656  0.0617  0.4134  0.16
Barbosa 1983   49  0.3335  0.0038  0.0636  0.1948  0.0843  0.12
Biret 1990   46  0.3368  0.0057  0.0474  0.0464  0.0479  0.04
Blet 2003   37  0.3660  0.0045  0.0845  0.0831  0.3233  0.16
Block 1995   30  0.3847  0.0015  0.1118  0.4130  0.3115  0.36
Blumental 1952   48  0.3349  0.0060  0.0466  0.0472  0.0578  0.04
Boshniakovich 1969   21  0.3918  0.019  0.1116  0.4341  0.1724  0.27
Brailowsky 1960   74  0.2540  0.0075  0.0475  0.0460  0.0664  0.05
Bunin 1987   47  0.3365  0.0036  0.0539  0.1930  0.2927  0.23
Bunin 1987b   45  0.3419  0.0131  0.0631  0.2327  0.3921  0.30
Chiu 1999   66  0.2972  0.0068  0.0468  0.0467  0.0472  0.04
Cohen 1997   33  0.3710  0.0235  0.0538  0.1918  0.5618  0.33
Cortot 1951   85  0.1666  0.0083  0.0481  0.0471  0.0481  0.04
Csalog 1996   40  0.3532  0.0048  0.0653  0.0642  0.1157  0.08
Czerny 1949   60  0.3280  0.0053  0.0562  0.0536  0.3239  0.13
Czerny 1990   38  0.3620  0.0156  0.0655  0.0678  0.0470  0.05
Duchoud 2007   55  0.3212  0.0232  0.0633  0.2215  0.4619  0.32
Ezaki 2006   2  0.491  0.241  0.231  0.737  0.671  0.70
Falvay 1989   1  0.492  0.212  0.352  0.704  0.622  0.66
Farrell 1958   73  0.2611  0.0233  0.0544  0.1040  0.1441  0.12
Ferenczy 1958   72  0.2678  0.0067  0.0565  0.0532  0.4237  0.14
Fliere 1977   22  0.3957  0.0040  0.0834  0.2085  0.0354  0.08
Fou 1978   25  0.3858  0.0028  0.0729  0.2552  0.0545  0.11
Francois 1956   68  0.2879  0.0063  0.0654  0.0636  0.1851  0.10
Friedman 1923   86  0.1582  0.0086  0.0286  0.0281  0.0389  0.02
Friedman 1923b   87  0.1552  0.0087  0.0385  0.0381  0.0387  0.03
Friedman 1930   77  0.2327  0.0080  0.0469  0.0480  0.0386  0.03
Garcia 2007   43  0.3423  0.0129  0.0725  0.3016  0.4614  0.37
Garcia 2007b   29  0.3833  0.0030  0.0530  0.2424  0.4220  0.32
Gierzod 1998   34  0.3721  0.018  0.1115  0.4333  0.2617  0.33
Gornostaeva 1994   39  0.3573  0.0050  0.0847  0.0854  0.0561  0.06
Groot 1988   11  0.427  0.0214  0.1110  0.4928  0.3612  0.42
Harasiewicz 1955   6  0.439  0.0213  0.126  0.5744  0.1225  0.26
Hatto 1993   13  0.4125  0.0017  0.1011  0.4846  0.0931  0.21
Hatto 1997   8  0.4214  0.0111  0.128  0.5522  0.378  0.45
Horowitz 1949   71  0.2641  0.0078  0.0382  0.0362  0.0484  0.03
Indjic 1988   5  0.4413  0.0212  0.137  0.5525  0.406  0.47
Kapell 1951   12  0.4224  0.0120  0.0821  0.3939  0.1129  0.21
Kissin 1993   17  0.4050  0.0021  0.0922  0.3928  0.499  0.44
Kushner 1989   3  0.4615  0.016  0.133  0.6231  0.2911  0.42
Luisada 1991   35  0.3655  0.0039  0.0737  0.1942  0.1235  0.15
Lushtak 2004   52  0.3256  0.0027  0.0627  0.2733  0.1730  0.21
Malcuzynski 1961   4  0.4428  0.007  0.175  0.5723  0.455  0.51
Magaloff 1978   59  0.3253  0.0069  0.0471  0.0483  0.0382  0.03
Magin 1975   28  0.3843  0.0043  0.0641  0.1442  0.1736  0.15
Michalowski 1933   83  0.1775  0.0084  0.0476  0.0483  0.0385  0.03
Milkina 1970   31  0.3717  0.0118  0.0914  0.4529  0.4110  0.43
Mohovich 1999   9  0.426  0.034  0.229  0.5417  0.544  0.54
Moravec 1969   7  0.4329  0.0023  0.1220  0.3929  0.3216  0.35
Morozova 2008   16  0.404  0.095  0.204  0.5915  0.513  0.55
Neighaus 1950   53  0.3263  0.0064  0.0848  0.0868  0.0462  0.06
Niedzielski 1931   70  0.2869  0.0071  0.0652  0.0675  0.0466  0.05
Ohlsson 1999   36  0.3634  0.0037  0.0635  0.2051  0.0549  0.10
Osinska 1989   32  0.3745  0.0044  0.0742  0.1463  0.0555  0.08
Pachmann 1927   65  0.3064  0.0059  0.0558  0.0535  0.1948  0.10
Paderewski 1930   79  0.2276  0.0077  0.0383  0.0359  0.0576  0.04
Perlemuter 1992   56  0.3288  0.0062  0.0557  0.0563  0.0563  0.05
Pierdomenico 2008   58  0.3251  0.0061  0.0467  0.0466  0.0474  0.04
Poblocka 1999   42  0.3554  0.0049  0.0751  0.0761  0.0559  0.06
Rabcewiczowa 1932   62  0.3146  0.0054  0.0564  0.0555  0.0667  0.05
Rachmaninoff 1923   82  0.1984  0.0081  0.0384  0.0382  0.0383  0.03
Rangell 2001   51  0.3336  0.0046  0.0849  0.0837  0.2638  0.14
Richter 1976   19  0.408  0.0226  0.0732  0.2248  0.0742  0.12
Rosen 1989   20  0.4026  0.0016  0.1217  0.4233  0.1823  0.27
Rosenthal 1930   81  0.1981  0.0082  0.0479  0.0471  0.0477  0.04
Rosenthal 1931   76  0.2474  0.0073  0.0470  0.0436  0.2846  0.11
Rosenthal 1931b   78  0.2277  0.0076  0.0478  0.0440  0.1758  0.08
Rosenthal 1931c   69  0.2861  0.0070  0.0473  0.0449  0.0671  0.05
Rosenthal 1931d   80  0.2083  0.0079  0.0480  0.0464  0.0480  0.04
Rossi 2007   75  0.2444  0.0072  0.0472  0.0441  0.1856  0.08
Rubinstein 1939   63  0.3159  0.0051  0.0750  0.0757  0.0465  0.05
Rubinstein 1952   15  0.415  0.0519  0.1023  0.3740  0.2122  0.28
Rubinstein 1966   14  0.4131  0.0010  0.1112  0.4761  0.0632  0.17
Schilhawsky 1960   84  0.1662  0.0085  0.0288  0.0277  0.0388  0.02
Shebanova 2002   10  0.4286  0.0022  0.1019  0.4044  0.1526  0.24
Smith 1975   67  0.2939  0.0074  0.0563  0.0563  0.0473  0.04
Sokolov 2002   23  0.3916  0.0125  0.0826  0.3017  0.4813  0.38
Sztompka 1959   26  0.3838  0.0042  0.0643  0.1352  0.0652  0.09
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   54  0.3287  0.0052  0.0846  0.0851  0.0560  0.06
Uninsky 1971   24  0.3930  0.0024  0.0824  0.3443  0.1428  0.22
Wasowski 1980   18  0.4022  0.0134  0.0628  0.2652  0.0640  0.12
Zak 1937   64  0.3170  0.0066  0.0477  0.0472  0.0475  0.04
Zak 1951   61  0.3185  0.0065  0.0559  0.0548  0.0668  0.05
Random 1   89  0.0089  0.0089  0.0287  0.025  0.4950  0.10
Random 2   88  0.0467  0.0088  0.0289  0.0215  0.3853  0.09
Random 3   90  -0.0890  0.0090  0.0190  0.0187  0.0290  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).