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  0.6620  0.0112  0.109  0.495  0.527  0.50
Anderszewski 2003   66  0.4315  0.0126  0.0727  0.2224  0.3030  0.26
Ashkenazy 1981   30  0.5849  0.0027  0.0719  0.3036  0.1935  0.24
Bacha 2000   44  0.5239  0.0065  0.0374  0.0327  0.3648  0.10
Badura 1965   56  0.488  0.0614  0.1026  0.245  0.5817  0.37
Barbosa 1983   55  0.4942  0.0034  0.0532  0.1930  0.3629  0.26
Biret 1990   50  0.5057  0.0060  0.0470  0.0446  0.0674  0.05
Blet 2003   27  0.5964  0.0043  0.0839  0.1722  0.3534  0.24
Block 1995   42  0.5255  0.0051  0.0465  0.0426  0.2652  0.10
Blumental 1952   79  0.2848  0.0075  0.0372  0.0379  0.0386  0.03
Boshniakovich 1969   38  0.5424  0.0047  0.0551  0.0529  0.3145  0.12
Brailowsky 1960   43  0.5235  0.0064  0.0461  0.0438  0.1263  0.07
Bunin 1987   18  0.6012  0.0215  0.0916  0.3522  0.3621  0.35
Bunin 1987b   17  0.6016  0.0116  0.1115  0.3522  0.3520  0.35
Chiu 1999   69  0.3965  0.0069  0.0462  0.0474  0.0475  0.04
Cohen 1997   74  0.3647  0.0073  0.0375  0.0327  0.2857  0.09
Cortot 1951   70  0.3989  0.0074  0.0381  0.0363  0.0487  0.03
Csalog 1996   59  0.4758  0.0061  0.0373  0.0332  0.2755  0.09
Czerny 1949   51  0.4959  0.0050  0.0463  0.0433  0.2551  0.10
Czerny 1990   16  0.6143  0.0021  0.0923  0.2819  0.3125  0.29
Duchoud 2007   54  0.4974  0.0053  0.0458  0.0442  0.1265  0.07
Ezaki 2006   3  0.724  0.102  0.141  0.645  0.642  0.64
Falvay 1989   2  0.735  0.083  0.173  0.633  0.671  0.65
Farrell 1958   62  0.4525  0.0072  0.0376  0.0344  0.1072  0.05
Ferenczy 1958   41  0.5352  0.0062  0.0378  0.0321  0.3650  0.10
Fliere 1977   22  0.5936  0.0032  0.0525  0.2528  0.2431  0.24
Fou 1978   7  0.6714  0.019  0.138  0.5014  0.469  0.48
Francois 1956   14  0.6211  0.0213  0.1213  0.3813  0.4715  0.42
Friedman 1923   86  0.0180  0.0089  0.0286  0.0271  0.0488  0.03
Friedman 1923b   87  0.0175  0.0088  0.0187  0.0173  0.0490  0.02
Friedman 1930   85  0.1882  0.0084  0.0471  0.0472  0.0383  0.03
Garcia 2007   81  0.2683  0.0081  0.0285  0.0250  0.0685  0.03
Garcia 2007b   83  0.2133  0.0082  0.0384  0.0328  0.2658  0.09
Gierzod 1998   48  0.5168  0.0025  0.0831  0.1928  0.1936  0.19
Gornostaeva 1994   24  0.5919  0.0118  0.0917  0.3525  0.3122  0.33
Groot 1988   1  0.733  0.114  0.182  0.646  0.553  0.59
Harasiewicz 1955   31  0.581  0.121  0.124  0.587  0.456  0.51
Hatto 1993   73  0.3645  0.0056  0.0550  0.0567  0.0481  0.04
Hatto 1997   65  0.4322  0.0129  0.0637  0.1836  0.1341  0.15
Horowitz 1949   57  0.4841  0.0048  0.0547  0.0530  0.2149  0.10
Indjic 1988   68  0.4046  0.0054  0.0549  0.0543  0.1064  0.07
Kapell 1951   37  0.5586  0.0063  0.0469  0.0452  0.0577  0.04
Kissin 1993   5  0.702  0.125  0.1710  0.4712  0.4810  0.47
Kushner 1989   26  0.5966  0.0040  0.0628  0.2126  0.2832  0.24
Luisada 1991   32  0.5718  0.0124  0.0720  0.2924  0.3323  0.31
Lushtak 2004   15  0.616  0.067  0.1012  0.4013  0.4911  0.44
Malcuzynski 1961   4  0.7227  0.0010  0.116  0.5412  0.458  0.49
Magaloff 1978   25  0.5954  0.0038  0.0535  0.1845  0.0943  0.13
Magin 1975   58  0.4851  0.0055  0.0554  0.0527  0.2447  0.11
Michalowski 1933   82  0.2576  0.0076  0.0467  0.0466  0.0478  0.04
Milkina 1970   12  0.6330  0.0020  0.0724  0.279  0.4519  0.35
Mohovich 1999   6  0.7077  0.0011  0.175  0.556  0.614  0.58
Moravec 1969   46  0.5129  0.0070  0.0459  0.0433  0.1559  0.08
Morozova 2008   45  0.5113  0.0231  0.0538  0.1740  0.1242  0.14
Neighaus 1950   8  0.6721  0.018  0.117  0.5314  0.525  0.52
Niedzielski 1931   78  0.3290  0.0083  0.0380  0.0377  0.0382  0.03
Ohlsson 1999   39  0.5437  0.0036  0.0640  0.1554  0.0554  0.09
Osinska 1989   52  0.4981  0.0059  0.0548  0.0555  0.0570  0.05
Pachmann 1927   40  0.5317  0.0130  0.0634  0.1815  0.5124  0.30
Paderewski 1930   49  0.5044  0.0049  0.0552  0.0536  0.1553  0.09
Perlemuter 1992   29  0.5871  0.0022  0.0821  0.2914  0.4716  0.37
Pierdomenico 2008   61  0.4640  0.0068  0.0377  0.0341  0.1466  0.06
Poblocka 1999   21  0.5969  0.0042  0.0641  0.1536  0.1739  0.16
Rabcewiczowa 1932   60  0.4723  0.0052  0.0457  0.0425  0.3644  0.12
Rachmaninoff 1923   71  0.3667  0.0057  0.0545  0.0552  0.0571  0.05
Rangell 2001   35  0.5653  0.0045  0.0546  0.0524  0.2846  0.12
Richter 1976   33  0.5728  0.0028  0.0630  0.2014  0.3926  0.28
Rosen 1989   47  0.5172  0.0058  0.0555  0.0559  0.0480  0.04
Rosenthal 1930   75  0.3578  0.0077  0.0383  0.0343  0.0973  0.05
Rosenthal 1931   76  0.3456  0.0066  0.0379  0.0327  0.2361  0.08
Rosenthal 1931b   77  0.3270  0.0078  0.0382  0.0342  0.1369  0.06
Rosenthal 1931c   64  0.4332  0.0067  0.0466  0.0437  0.1662  0.08
Rosenthal 1931d   72  0.3687  0.0079  0.0464  0.0444  0.0868  0.06
Rossi 2007   84  0.2188  0.0080  0.0468  0.0433  0.1860  0.08
Rubinstein 1939   80  0.2879  0.0085  0.0553  0.0560  0.0476  0.04
Rubinstein 1952   11  0.639  0.0519  0.0722  0.2913  0.4718  0.37
Rubinstein 1966   13  0.6231  0.0023  0.0918  0.315  0.6114  0.43
Schilhawsky 1960   67  0.4261  0.0071  0.0456  0.0456  0.0579  0.04
Shebanova 2002   23  0.5973  0.0041  0.0542  0.1440  0.2238  0.18
Smith 1975   10  0.647  0.066  0.1011  0.4314  0.4312  0.43
Sokolov 2002   19  0.6026  0.0039  0.0629  0.2027  0.3527  0.26
Sztompka 1959   28  0.5838  0.0035  0.0633  0.1828  0.3333  0.24
Tomsic 1995   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1932   53  0.4934  0.0046  0.0460  0.0431  0.1956  0.09
Uninsky 1971   36  0.5560  0.0044  0.0643  0.1235  0.2737  0.18
Wasowski 1980   63  0.4410  0.0433  0.0644  0.1234  0.2040  0.15
Zak 1937   34  0.5784  0.0037  0.0536  0.1821  0.3828  0.26
Zak 1951   20  0.6085  0.0017  0.0814  0.3812  0.4913  0.43
Random 1   89  -0.0262  0.0086  0.0188  0.0113  0.3867  0.06
Random 2   90  -0.0650  0.0087  0.0189  0.0143  0.1084  0.03
Random 3   88  -0.0163  0.0090  0.0190  0.0158  0.0389  0.02

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).