Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7719  0.0116  0.1011  0.489  0.4011  0.44
Anderszewski 2003   69  0.4927  0.0160  0.0456  0.0443  0.1061  0.06
Ashkenazy 1981   33  0.6567  0.0037  0.0540  0.1148  0.0558  0.07
Bacha 2000   46  0.6249  0.0063  0.0465  0.0422  0.3139  0.11
Badura 1965   60  0.578  0.0418  0.0921  0.336  0.5415  0.42
Barbosa 1983   52  0.6063  0.0031  0.0629  0.2223  0.3728  0.29
Biret 1990   44  0.6257  0.0068  0.0369  0.0364  0.0385  0.03
Blet 2003   14  0.7459  0.0029  0.0722  0.3121  0.3423  0.32
Block 1995   51  0.6056  0.0067  0.0466  0.0436  0.1651  0.08
Blumental 1952   82  0.2847  0.0076  0.0381  0.0365  0.0381  0.03
Boshniakovich 1969   41  0.6346  0.0049  0.0453  0.0428  0.2148  0.09
Brailowsky 1960   36  0.6417  0.0164  0.0374  0.0352  0.0571  0.04
Bunin 1987   21  0.7121  0.0122  0.0718  0.3621  0.3620  0.36
Bunin 1987b   22  0.7112  0.0223  0.1019  0.3621  0.3619  0.36
Chiu 1999   66  0.5228  0.0153  0.0451  0.0444  0.0960  0.06
Cohen 1997   79  0.3366  0.0082  0.0375  0.0366  0.0383  0.03
Cortot 1951   67  0.5279  0.0073  0.0378  0.0347  0.0770  0.05
Csalog 1996   64  0.5414  0.0156  0.0457  0.0427  0.2941  0.11
Czerny 1949   57  0.5741  0.0047  0.0461  0.0448  0.0667  0.05
Czerny 1990   18  0.7360  0.0017  0.1020  0.3618  0.3022  0.33
Duchoud 2007   48  0.6186  0.0046  0.0548  0.0542  0.1157  0.07
Ezaki 2006   2  0.844  0.072  0.142  0.624  0.552  0.58
Falvay 1989   4  0.8334  0.005  0.114  0.557  0.494  0.52
Farrell 1958   50  0.6170  0.0075  0.0379  0.0363  0.0478  0.03
Ferenczy 1958   37  0.6451  0.0055  0.0449  0.0428  0.2842  0.11
Fliere 1977   10  0.7722  0.0113  0.0812  0.4414  0.3717  0.40
Fou 1978   7  0.785  0.067  0.117  0.537  0.515  0.52
Francois 1956   25  0.6942  0.0014  0.0816  0.3716  0.3221  0.34
Friedman 1923   88  0.0076  0.0087  0.0286  0.0251  0.0688  0.03
Friedman 1923b   87  0.0190  0.0086  0.0287  0.0248  0.0684  0.03
Friedman 1930   84  0.1978  0.0081  0.0383  0.0352  0.0573  0.04
Garcia 2007   77  0.3984  0.0080  0.0382  0.0341  0.1363  0.06
Garcia 2007b   85  0.1764  0.0084  0.0373  0.0365  0.0387  0.03
Gierzod 1998   47  0.6272  0.0036  0.0543  0.0958  0.0462  0.06
Gornostaeva 1994   27  0.6925  0.0124  0.0723  0.3124  0.2729  0.29
Groot 1988   3  0.837  0.044  0.125  0.544  0.506  0.52
Harasiewicz 1955   42  0.632  0.093  0.126  0.547  0.448  0.49
Hatto 1993   78  0.3583  0.0070  0.0368  0.0351  0.0486  0.03
Hatto 1997   73  0.4436  0.0061  0.0459  0.0462  0.0380  0.03
Horowitz 1949   59  0.5753  0.0040  0.0637  0.1327  0.2635  0.18
Indjic 1988   76  0.3974  0.0062  0.0370  0.0359  0.0379  0.03
Kapell 1951   40  0.6471  0.0069  0.0462  0.0445  0.0665  0.05
Kissin 1993   6  0.8030  0.018  0.1013  0.4214  0.4512  0.43
Kushner 1989   26  0.6943  0.0027  0.0726  0.2733  0.2231  0.24
Luisada 1991   35  0.6529  0.0132  0.0734  0.1735  0.1933  0.18
Lushtak 2004   11  0.753  0.086  0.103  0.588  0.513  0.54
Malcuzynski 1961   5  0.8226  0.019  0.148  0.5316  0.419  0.47
Magaloff 1978   20  0.7248  0.0028  0.0730  0.2129  0.2632  0.23
Magin 1975   62  0.5562  0.0058  0.0454  0.0441  0.1153  0.07
Michalowski 1933   83  0.2687  0.0077  0.0372  0.0350  0.0572  0.04
Milkina 1970   12  0.7515  0.0120  0.0827  0.2616  0.3825  0.31
Mohovich 1999   1  0.871  0.211  0.211  0.652  0.581  0.61
Moravec 1969   56  0.5752  0.0074  0.0385  0.0366  0.0475  0.03
Morozova 2008   55  0.5916  0.0138  0.0435  0.1523  0.1836  0.16
Neighaus 1950   8  0.7839  0.0011  0.1610  0.4916  0.4510  0.47
Niedzielski 1931   75  0.4185  0.0083  0.0464  0.0463  0.0377  0.03
Ohlsson 1999   34  0.6535  0.0035  0.0539  0.1157  0.0554  0.07
Osinska 1989   43  0.6250  0.0050  0.0460  0.0442  0.1152  0.07
Pachmann 1927   38  0.6418  0.0133  0.0533  0.179  0.5227  0.30
Paderewski 1930   54  0.5968  0.0059  0.0547  0.0548  0.0566  0.05
Perlemuter 1992   17  0.7310  0.0215  0.1014  0.396  0.4614  0.42
Pierdomenico 2008   45  0.6288  0.0044  0.0444  0.0732  0.1840  0.11
Poblocka 1999   23  0.7065  0.0043  0.0538  0.1340  0.1538  0.14
Rabcewiczowa 1932   58  0.5724  0.0152  0.0450  0.0434  0.1750  0.08
Rachmaninoff 1923   70  0.4932  0.0039  0.0542  0.0939  0.1144  0.10
Rangell 2001   31  0.6640  0.0051  0.0455  0.0427  0.2249  0.09
Richter 1976   29  0.6923  0.0121  0.0824  0.306  0.4718  0.38
Rosen 1989   39  0.6469  0.0057  0.0458  0.0445  0.0574  0.04
Rosenthal 1930   68  0.5081  0.0072  0.0380  0.0343  0.0968  0.05
Rosenthal 1931   72  0.4773  0.0065  0.0377  0.0336  0.1755  0.07
Rosenthal 1931b   74  0.4380  0.0079  0.0452  0.0439  0.1159  0.07
Rosenthal 1931c   61  0.5689  0.0066  0.0376  0.0342  0.1164  0.06
Rosenthal 1931d   71  0.4982  0.0078  0.0384  0.0343  0.0969  0.05
Rossi 2007   81  0.2844  0.0071  0.0467  0.0416  0.2443  0.10
Rubinstein 1939   80  0.2845  0.0085  0.0371  0.0363  0.0476  0.03
Rubinstein 1952   24  0.706  0.0519  0.0728  0.2320  0.4524  0.32
Rubinstein 1966   16  0.7320  0.0126  0.0725  0.293  0.6413  0.43
Schilhawsky 1960   53  0.5977  0.0041  0.0541  0.1050  0.0556  0.07
Shebanova 2002   30  0.6831  0.0042  0.0536  0.1434  0.1837  0.16
Smith 1975   15  0.7313  0.0210  0.1115  0.3827  0.2426  0.30
Sokolov 2002   28  0.6933  0.0034  0.0431  0.2132  0.2730  0.24
Sztompka 1959   32  0.6554  0.0045  0.0545  0.0535  0.2245  0.10
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   63  0.5438  0.0048  0.0463  0.0432  0.2547  0.10
Uninsky 1971   49  0.6137  0.0054  0.0546  0.0535  0.2146  0.10
Wasowski 1980   65  0.5211  0.0230  0.0732  0.1829  0.1834  0.18
Zak 1937   19  0.7275  0.0025  0.0917  0.379  0.4516  0.41
Zak 1951   13  0.759  0.0312  0.099  0.516  0.507  0.50
Random 1   89  -0.0855  0.0089  0.0189  0.0143  0.1282  0.03
Random 2   90  -0.2061  0.0090  0.0190  0.0149  0.0489  0.02
Random 3   86  0.0158  0.0088  0.0188  0.0178  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).