Tomsic 1995

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   72  0.2962  0.0073  0.0568  0.0564  0.0474  0.04
Anderszewski 2003   17  0.4830  0.0019  0.1219  0.4544  0.1226  0.23
Ashkenazy 1981   61  0.3759  0.0065  0.0749  0.0743  0.1249  0.09
Bacha 2000   62  0.3736  0.0055  0.0751  0.0747  0.0553  0.06
Badura 1965   51  0.395  0.0523  0.0931  0.2520  0.3820  0.31
Barbosa 1983   27  0.4555  0.0029  0.0827  0.2954  0.0735  0.14
Biret 1990   42  0.4183  0.0050  0.0565  0.0563  0.0571  0.05
Blet 2003   58  0.3831  0.0060  0.0655  0.0651  0.0656  0.06
Block 1995   38  0.4210  0.0220  0.1121  0.3828  0.3318  0.35
Blumental 1952   56  0.3864  0.0062  0.0753  0.0762  0.0559  0.06
Boshniakovich 1969   25  0.4517  0.0121  0.1320  0.4138  0.1525  0.25
Brailowsky 1960   69  0.3242  0.0069  0.0658  0.0676  0.0461  0.05
Bunin 1987   50  0.3965  0.0048  0.0563  0.0550  0.0570  0.05
Bunin 1987b   45  0.4044  0.0041  0.0741  0.1530  0.2429  0.19
Chiu 1999   48  0.3918  0.0143  0.0643  0.1432  0.2231  0.18
Cohen 1997   65  0.3511  0.0257  0.0847  0.0836  0.1347  0.10
Cortot 1951   85  0.1529  0.0072  0.0474  0.0480  0.0278  0.03
Csalog 1996   8  0.5425  0.008  0.183  0.638  0.563  0.59
Czerny 1949   47  0.4051  0.0056  0.0752  0.0754  0.0751  0.07
Czerny 1990   44  0.4122  0.0163  0.0848  0.0871  0.0460  0.06
Duchoud 2007   52  0.3940  0.0033  0.0536  0.215  0.5817  0.35
Ezaki 2006   3  0.5616  0.016  0.125  0.6325  0.417  0.51
Falvay 1989   6  0.542  0.082  0.1310  0.5532  0.4113  0.47
Farrell 1958   57  0.3863  0.0052  0.0660  0.0656  0.0565  0.05
Ferenczy 1958   55  0.3966  0.0061  0.0564  0.0552  0.0669  0.05
Fliere 1977   19  0.4784  0.0027  0.0726  0.2948  0.0637  0.13
Fou 1978   21  0.4715  0.0122  0.0922  0.3548  0.0634  0.14
Francois 1956   77  0.2371  0.0075  0.0475  0.0478  0.0381  0.03
Friedman 1923   84  0.1674  0.0086  0.0379  0.0388  0.0289  0.02
Friedman 1923b   83  0.1685  0.0085  0.0288  0.0281  0.0387  0.02
Friedman 1930   82  0.1780  0.0082  0.0286  0.0286  0.0285  0.02
Garcia 2007   29  0.4412  0.0212  0.1513  0.528  0.586  0.55
Garcia 2007b   32  0.4420  0.0131  0.0530  0.2629  0.3322  0.29
Gierzod 1998   10  0.539  0.0213  0.1016  0.4746  0.0830  0.19
Gornostaeva 1994   24  0.4560  0.0037  0.0540  0.1741  0.0943  0.12
Groot 1988   59  0.3849  0.0058  0.0846  0.0845  0.0850  0.08
Harasiewicz 1955   12  0.5226  0.0018  0.1418  0.4741  0.2121  0.31
Hatto 1993   46  0.4086  0.0045  0.0566  0.0550  0.0572  0.05
Hatto 1997   37  0.4250  0.0034  0.0728  0.2874  0.0445  0.11
Horowitz 1949   70  0.3124  0.0071  0.0567  0.0554  0.0566  0.05
Indjic 1988   41  0.4134  0.0040  0.0737  0.1966  0.0448  0.09
Kapell 1951   1  0.583  0.073  0.134  0.6326  0.485  0.55
Kissin 1993   16  0.4937  0.0017  0.1415  0.4924  0.5010  0.49
Kushner 1989   5  0.5521  0.019  0.187  0.6037  0.3114  0.43
Luisada 1991   66  0.3439  0.0068  0.0845  0.0848  0.0554  0.06
Lushtak 2004   35  0.4487  0.0028  0.0824  0.3448  0.0636  0.14
Malcuzynski 1961   14  0.5138  0.0010  0.158  0.5824  0.439  0.50
Magaloff 1978   39  0.4235  0.0059  0.0659  0.0658  0.0562  0.05
Magin 1975   28  0.4552  0.0025  0.0725  0.3138  0.1627  0.22
Michalowski 1933   86  0.1170  0.0077  0.0376  0.0388  0.0284  0.02
Milkina 1970   13  0.5123  0.0011  0.1311  0.5553  0.0632  0.18
Mohovich 1999   2  0.581  0.431  0.431  0.745  0.671  0.70
Moravec 1969   11  0.5228  0.0015  0.1117  0.4717  0.4812  0.47
Morozova 2008   18  0.484  0.055  0.139  0.5713  0.554  0.56
Neighaus 1950   78  0.2175  0.0081  0.0382  0.0386  0.0288  0.02
Niedzielski 1931   67  0.3448  0.0064  0.0661  0.0629  0.2540  0.12
Ohlsson 1999   20  0.4743  0.0016  0.1114  0.4910  0.538  0.51
Osinska 1989   7  0.5413  0.027  0.136  0.6236  0.3711  0.48
Pachmann 1927   60  0.3833  0.0032  0.0544  0.128  0.5624  0.26
Paderewski 1930   87  0.1188  0.0087  0.0285  0.0282  0.0283  0.02
Perlemuter 1992   63  0.3656  0.0067  0.0750  0.0738  0.1939  0.12
Pierdomenico 2008   49  0.3957  0.0054  0.0654  0.0627  0.3633  0.15
Poblocka 1999   40  0.4146  0.0046  0.0657  0.0658  0.0755  0.06
Rabcewiczowa 1932   53  0.3981  0.0049  0.0572  0.0557  0.0564  0.05
Rachmaninoff 1923   81  0.2067  0.0079  0.0378  0.0382  0.0375  0.03
Rangell 2001   43  0.4168  0.0051  0.0570  0.0544  0.1052  0.07
Richter 1976   23  0.4619  0.0130  0.0833  0.2534  0.2823  0.26
Rosen 1989   4  0.558  0.024  0.122  0.647  0.622  0.63
Rosenthal 1930   80  0.2172  0.0084  0.0284  0.0282  0.0386  0.02
Rosenthal 1931   71  0.3045  0.0070  0.0656  0.0672  0.0468  0.05
Rosenthal 1931b   75  0.2547  0.0078  0.0380  0.0378  0.0379  0.03
Rosenthal 1931c   73  0.2889  0.0074  0.0377  0.0364  0.0480  0.03
Rosenthal 1931d   79  0.2176  0.0080  0.0381  0.0373  0.0377  0.03
Rossi 2007   34  0.446  0.0324  0.0932  0.2518  0.4219  0.32
Rubinstein 1939   54  0.3961  0.0053  0.0562  0.0554  0.0563  0.05
Rubinstein 1952   15  0.4927  0.0036  0.0535  0.2146  0.0744  0.12
Rubinstein 1966   9  0.5332  0.0014  0.1112  0.5239  0.2316  0.35
Schilhawsky 1960   74  0.2677  0.0076  0.0571  0.0584  0.0373  0.04
Shebanova 2002   30  0.4469  0.0035  0.0629  0.2639  0.1728  0.21
Smith 1975   76  0.2382  0.0083  0.0283  0.0281  0.0382  0.02
Sokolov 2002   31  0.4414  0.0126  0.0623  0.3417  0.5015  0.41
Sztompka 1959   64  0.3653  0.0066  0.0569  0.0552  0.0567  0.05
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   68  0.3373  0.0047  0.0473  0.0444  0.1057  0.06
Uninsky 1971   26  0.4541  0.0038  0.0738  0.1853  0.0646  0.10
Wasowski 1980   22  0.467  0.0239  0.0834  0.2245  0.0738  0.12
Zak 1937   33  0.4490  0.0044  0.0742  0.1443  0.1141  0.12
Zak 1951   36  0.4479  0.0042  0.0539  0.1741  0.0942  0.12
Random 1   89  -0.0558  0.0089  0.0289  0.0247  0.0576  0.03
Random 2   88  0.0254  0.0088  0.0287  0.0231  0.2158  0.06
Random 3   90  -0.1378  0.0090  0.0190  0.0184  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).