Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.3946  0.0076  0.0470  0.0436  0.2178  0.09
Anderszewski 2003   71  0.3864  0.0067  0.0482  0.0439  0.2873  0.11
Ashkenazy 1981   29  0.5085  0.0040  0.0739  0.2416  0.6037  0.38
Bacha 2000   83  0.2860  0.0081  0.0469  0.0445  0.1282  0.07
Badura 1965   72  0.3847  0.0075  0.0384  0.0324  0.3376  0.10
Barbosa 1983   42  0.4569  0.0042  0.0642  0.2019  0.4543  0.30
Biret 1990   63  0.3974  0.0064  0.0478  0.0433  0.3569  0.12
Blet 2003   20  0.519  0.0124  0.0825  0.453  0.7620  0.58
Block 1995   19  0.5324  0.0013  0.1711  0.653  0.798  0.72
Blumental 1952   41  0.4513  0.0037  0.0938  0.2514  0.5836  0.38
Boshniakovich 1969   14  0.542  0.024  0.1810  0.653  0.7412  0.69
Brailowsky 1960   40  0.4530  0.0047  0.0749  0.0710  0.6847  0.22
Bunin 1987   48  0.4437  0.0034  0.0940  0.2411  0.5340  0.36
Bunin 1987b   51  0.4317  0.0033  0.0836  0.2610  0.5338  0.37
Chiu 1999   18  0.5366  0.0023  0.0917  0.515  0.6421  0.57
Cohen 1997   82  0.2981  0.0082  0.0387  0.0364  0.0490  0.03
Cortot 1951   80  0.3225  0.0080  0.0468  0.0420  0.4468  0.13
Csalog 1996   21  0.5138  0.0030  0.0927  0.403  0.7125  0.53
Czerny 1949   87  0.2376  0.0087  0.0483  0.0469  0.0488  0.04
Czerny 1990   15  0.5431  0.009  0.159  0.666  0.789  0.72
Duchoud 2007   69  0.3862  0.0054  0.0653  0.067  0.6251  0.19
Ezaki 2006   53  0.4371  0.0058  0.0654  0.0630  0.4256  0.16
Falvay 1989   58  0.4278  0.0050  0.0651  0.0637  0.2071  0.11
Farrell 1958   78  0.3282  0.0077  0.0559  0.0535  0.2074  0.10
Ferenczy 1958   88  0.2290  0.0088  0.0481  0.0459  0.0685  0.05
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   7  0.5712  0.0011  0.157  0.702  0.807  0.75
Francois 1956   81  0.3063  0.0083  0.0476  0.0446  0.0686  0.05
Friedman 1923   23  0.503  0.0116  0.1024  0.464  0.7817  0.60
Friedman 1923b   30  0.494  0.0117  0.0829  0.384  0.7326  0.53
Friedman 1930   32  0.4934  0.0032  0.1133  0.336  0.7131  0.48
Garcia 2007   54  0.4348  0.0044  0.0644  0.174  0.6942  0.34
Garcia 2007b   49  0.4429  0.0049  0.1046  0.108  0.6745  0.26
Gierzod 1998   46  0.4483  0.0035  0.0834  0.3113  0.5433  0.41
Gornostaeva 1994   47  0.4472  0.0052  0.0750  0.0727  0.4453  0.18
Groot 1988   6  0.5842  0.006  0.196  0.732  0.806  0.76
Harasiewicz 1955   11  0.5565  0.0022  0.0820  0.4913  0.5429  0.51
Hatto 1993   28  0.5036  0.0029  0.1023  0.4714  0.5728  0.52
Hatto 1997   64  0.3987  0.0068  0.0385  0.0367  0.0489  0.03
Horowitz 1949   66  0.3955  0.0074  0.0466  0.0427  0.4467  0.13
Indjic 1988   34  0.4719  0.0039  0.0737  0.2521  0.5239  0.36
Kapell 1951   35  0.4757  0.0036  0.0932  0.3514  0.4435  0.39
Kissin 1993   31  0.4926  0.0026  0.1130  0.3711  0.7327  0.52
Kushner 1989   8  0.5716  0.008  0.228  0.705  0.7310  0.71
Luisada 1991   13  0.5414  0.0021  0.0821  0.493  0.7218  0.59
Lushtak 2004   52  0.4358  0.0041  0.0641  0.2113  0.5741  0.35
Malcuzynski 1961   17  0.5320  0.0020  0.1212  0.593  0.6815  0.63
Magaloff 1978   3  0.608  0.013  0.212  0.782  0.852  0.81
Magin 1975   16  0.5328  0.0018  0.0818  0.495  0.7219  0.59
Michalowski 1933   70  0.3832  0.0055  0.0475  0.049  0.5761  0.15
Milkina 1970   77  0.3250  0.0078  0.0465  0.0466  0.0487  0.04
Mohovich 1999   33  0.4752  0.0038  0.0835  0.2814  0.6134  0.41
Moravec 1969   39  0.4551  0.0048  0.1047  0.1015  0.4746  0.22
Morozova 2008   37  0.4645  0.0027  0.1331  0.369  0.5532  0.44
Neighaus 1950   61  0.4061  0.0059  0.0560  0.0523  0.3964  0.14
Niedzielski 1931   56  0.4254  0.0051  0.0652  0.068  0.5552  0.18
Ohlsson 1999   26  0.5011  0.0025  0.1026  0.453  0.6624  0.54
Osinska 1989   22  0.5115  0.0028  0.1019  0.4913  0.6223  0.55
Pachmann 1927   38  0.4523  0.0053  0.0655  0.064  0.6948  0.20
Paderewski 1930   74  0.3667  0.0072  0.0472  0.0414  0.5760  0.15
Perlemuter 1992   10  0.557  0.0110  0.1515  0.562  0.8511  0.69
Pierdomenico 2008   57  0.4244  0.0063  0.0477  0.0412  0.5458  0.15
Poblocka 1999   12  0.5421  0.0014  0.1414  0.573  0.7414  0.65
Rabcewiczowa 1932   76  0.3343  0.0062  0.0467  0.0435  0.3172  0.11
Rachmaninoff 1923   24  0.5040  0.0012  0.1522  0.485  0.6822  0.57
Rangell 2001   73  0.3775  0.0073  0.0657  0.0626  0.4655  0.17
Richter 1976   2  0.616  0.017  0.235  0.742  0.824  0.78
Rosen 1989   4  0.5918  0.005  0.163  0.772  0.813  0.79
Rosenthal 1930   60  0.4141  0.0066  0.0462  0.0422  0.5663  0.15
Rosenthal 1931   85  0.2591  0.0086  0.0464  0.0438  0.2775  0.10
Rosenthal 1931b   84  0.2780  0.0085  0.0479  0.0432  0.3770  0.12
Rosenthal 1931c   68  0.3877  0.0060  0.0558  0.0510  0.6254  0.18
Rosenthal 1931d   86  0.2473  0.0084  0.0388  0.0331  0.2679  0.09
Rossi 2007   79  0.3279  0.0079  0.0480  0.047  0.6057  0.15
Rubinstein 1939   75  0.3686  0.0065  0.0473  0.0436  0.1580  0.08
Rubinstein 1952   36  0.4622  0.0045  0.0845  0.1618  0.5444  0.29
Rubinstein 1966   43  0.4584  0.0043  0.0643  0.1731  0.2350  0.20
Schilhawsky 1960   50  0.4453  0.0056  0.0463  0.048  0.5862  0.15
Shebanova 2002   5  0.585  0.012  0.184  0.753  0.795  0.77
Smith 1975   55  0.4239  0.0071  0.0561  0.0531  0.3566  0.13
Sokolov 2002   62  0.4035  0.0061  0.0471  0.0422  0.4365  0.13
Sztompka 1959   9  0.5510  0.0015  0.1313  0.584  0.7913  0.68
Tomsic 1995   65  0.3956  0.0069  0.0386  0.0335  0.2081  0.08
Uninsky 1932   25  0.5027  0.0019  0.0816  0.543  0.7216  0.62
Uninsky 1971   45  0.4449  0.0046  0.0848  0.0817  0.5049  0.20
Wasowski 1980   27  0.5033  0.0031  0.1228  0.397  0.6230  0.49
Zak 1937   44  0.4459  0.0057  0.0656  0.0622  0.3959  0.15
Zak 1951   59  0.4288  0.0070  0.0474  0.0437  0.1977  0.09
Average   1  0.761  0.861  0.851  0.941  0.821  0.88
Random 1   90  0.0070  0.0089  0.0289  0.0233  0.2683  0.07
Random 2   91  -0.0689  0.0091  0.0191  0.0188  0.0291  0.01
Random 3   89  0.0068  0.0090  0.0290  0.0231  0.2184  0.06

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).