Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   25  0.7443  0.0043  0.0545  0.1024  0.2746  0.16
Anderszewski 2003   70  0.5755  0.0073  0.0463  0.0458  0.0479  0.04
Ashkenazy 1981   41  0.7019  0.0133  0.0627  0.2326  0.3036  0.26
Bacha 2000   71  0.5672  0.0075  0.0381  0.0346  0.0773  0.05
Badura 1965   61  0.6165  0.0045  0.0643  0.128  0.5338  0.25
Barbosa 1983   56  0.6327  0.008  0.1023  0.275  0.5219  0.37
Biret 1990   20  0.7683  0.0040  0.0440  0.1319  0.3044  0.20
Blet 2003   18  0.7620  0.0130  0.0720  0.315  0.5217  0.40
Block 1995   63  0.6023  0.0165  0.0470  0.0431  0.2364  0.10
Blumental 1952   83  0.3858  0.0084  0.0378  0.0369  0.0388  0.03
Boshniakovich 1969   16  0.7614  0.0113  0.1011  0.412  0.597  0.49
Brailowsky 1960   34  0.7263  0.0052  0.0554  0.0514  0.3947  0.14
Bunin 1987   37  0.7168  0.0025  0.0439  0.1420  0.3741  0.23
Bunin 1987b   36  0.7130  0.0024  0.0537  0.1420  0.3840  0.23
Chiu 1999   53  0.6422  0.0111  0.0810  0.411  0.616  0.50
Cohen 1997   85  0.3464  0.0078  0.0385  0.0344  0.1172  0.06
Cortot 1951   65  0.5973  0.0083  0.0459  0.0457  0.0584  0.04
Csalog 1996   73  0.5340  0.0074  0.0382  0.0322  0.3759  0.11
Czerny 1949   50  0.6688  0.0059  0.0373  0.0348  0.0680  0.04
Czerny 1990   8  0.8042  0.0023  0.0617  0.3416  0.3322  0.33
Duchoud 2007   28  0.7317  0.0135  0.0731  0.1923  0.4033  0.28
Ezaki 2006   4  0.837  0.026  0.128  0.4410  0.4611  0.45
Falvay 1989   21  0.7549  0.0017  0.0818  0.3214  0.3920  0.35
Farrell 1958   42  0.6974  0.0053  0.0556  0.0515  0.2854  0.12
Ferenczy 1958   74  0.5289  0.0085  0.0376  0.0357  0.0486  0.03
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   26  0.742  0.082  0.262  0.582  0.583  0.58
Francois 1956   31  0.7244  0.0029  0.0528  0.2322  0.2937  0.26
Friedman 1923   88  0.1124  0.0188  0.0288  0.0254  0.0690  0.03
Friedman 1923b   87  0.1235  0.0087  0.0287  0.0255  0.0589  0.03
Friedman 1930   84  0.385  0.0369  0.0377  0.0335  0.1870  0.07
Garcia 2007   78  0.4441  0.0082  0.0467  0.0447  0.0582  0.04
Garcia 2007b   86  0.2584  0.0086  0.0471  0.0447  0.0675  0.05
Gierzod 1998   33  0.7252  0.0049  0.0548  0.0536  0.1766  0.09
Gornostaeva 1994   5  0.8338  0.0010  0.0812  0.408  0.4613  0.43
Groot 1988   9  0.804  0.0416  0.0713  0.398  0.4912  0.44
Harasiewicz 1955   68  0.5950  0.0021  0.0625  0.2418  0.3430  0.29
Hatto 1993   79  0.4447  0.0062  0.0469  0.0426  0.2267  0.09
Hatto 1997   76  0.4879  0.0064  0.0549  0.0534  0.1565  0.09
Horowitz 1949   51  0.6656  0.0046  0.0647  0.069  0.4245  0.16
Indjic 1988   77  0.4571  0.0063  0.0460  0.0426  0.2662  0.10
Kapell 1951   47  0.6832  0.0067  0.0468  0.0444  0.1169  0.07
Kissin 1993   11  0.7816  0.017  0.125  0.474  0.604  0.53
Kushner 1989   6  0.8218  0.0112  0.086  0.454  0.529  0.48
Luisada 1991   39  0.7126  0.0034  0.0634  0.189  0.4331  0.28
Lushtak 2004   43  0.6948  0.0022  0.0522  0.2818  0.3723  0.32
Malcuzynski 1961   3  0.859  0.025  0.147  0.458  0.5010  0.47
Magaloff 1978   2  0.858  0.024  0.123  0.572  0.612  0.59
Magin 1975   52  0.6559  0.0054  0.0553  0.0523  0.2457  0.11
Michalowski 1933   81  0.3967  0.0072  0.0379  0.0362  0.0577  0.04
Milkina 1970   22  0.7562  0.0031  0.0626  0.238  0.4621  0.33
Mohovich 1999   10  0.7976  0.0028  0.0524  0.2414  0.4026  0.31
Moravec 1969   60  0.6269  0.0068  0.0374  0.0336  0.1471  0.06
Morozova 2008   40  0.7139  0.0015  0.0714  0.384  0.4415  0.41
Neighaus 1950   7  0.816  0.023  0.114  0.5311  0.525  0.52
Niedzielski 1931   72  0.5566  0.0081  0.0386  0.0353  0.0485  0.03
Ohlsson 1999   14  0.7728  0.0039  0.0435  0.1714  0.4234  0.27
Osinska 1989   17  0.7646  0.0044  0.0644  0.1212  0.3842  0.21
Pachmann 1927   69  0.5934  0.0027  0.0436  0.176  0.5725  0.31
Paderewski 1930   48  0.6854  0.0066  0.0472  0.0418  0.2661  0.10
Perlemuter 1992   49  0.6712  0.0126  0.0429  0.2021  0.3435  0.26
Pierdomenico 2008   24  0.7436  0.0032  0.0633  0.184  0.4828  0.29
Poblocka 1999   19  0.7615  0.0147  0.0550  0.0521  0.3351  0.13
Rabcewiczowa 1932   58  0.6377  0.0070  0.0464  0.0449  0.0674  0.05
Rachmaninoff 1923   57  0.6333  0.0042  0.0441  0.1318  0.3343  0.21
Rangell 2001   12  0.783  0.089  0.099  0.421  0.588  0.49
Richter 1976   54  0.6453  0.0055  0.0551  0.0523  0.2358  0.11
Rosen 1989   27  0.7310  0.0136  0.0730  0.2010  0.5124  0.32
Rosenthal 1930   44  0.6857  0.0058  0.0461  0.0423  0.3855  0.12
Rosenthal 1931   62  0.6180  0.0056  0.0552  0.0513  0.4248  0.14
Rosenthal 1931b   67  0.5990  0.0057  0.0555  0.0514  0.4149  0.14
Rosenthal 1931c   35  0.7170  0.0041  0.0542  0.1212  0.4739  0.24
Rosenthal 1931d   55  0.6385  0.0061  0.0465  0.0413  0.3756  0.12
Rossi 2007   82  0.3981  0.0076  0.0380  0.0325  0.1868  0.07
Rubinstein 1939   80  0.4451  0.0079  0.0375  0.0311  0.4653  0.12
Rubinstein 1952   46  0.6882  0.0060  0.0466  0.0414  0.5050  0.14
Rubinstein 1966   32  0.7213  0.0138  0.0538  0.145  0.6029  0.29
Schilhawsky 1960   45  0.6878  0.0050  0.0458  0.0431  0.2363  0.10
Shebanova 2002   29  0.7311  0.0137  0.0532  0.188  0.5027  0.30
Smith 1975   13  0.7775  0.0020  0.0521  0.3020  0.2632  0.28
Sokolov 2002   23  0.7537  0.0048  0.0646  0.0637  0.2452  0.12
Sztompka 1959   59  0.6229  0.0071  0.0462  0.0461  0.0576  0.04
Tomsic 1995   15  0.7721  0.0118  0.0715  0.3713  0.4416  0.40
Uninsky 1932   75  0.5231  0.0080  0.0384  0.0364  0.0487  0.03
Uninsky 1971   66  0.5960  0.0077  0.0383  0.0353  0.0578  0.04
Wasowski 1980   64  0.6061  0.0051  0.0557  0.0526  0.2260  0.10
Zak 1937   30  0.7245  0.0019  0.0819  0.317  0.4818  0.39
Zak 1951   38  0.7125  0.0114  0.0716  0.3511  0.4714  0.41
Average   1  0.911  0.451  0.441  0.743  0.581  0.66
Random 1   89  -0.0286  0.0090  0.0190  0.0141  0.1683  0.04
Random 2   91  -0.0587  0.0089  0.0189  0.0139  0.1481  0.04
Random 3   90  -0.0491  0.0091  0.0191  0.0183  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).