Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.4025  0.0059  0.0557  0.0535  0.2250  0.10
Anderszewski 2003   64  0.3239  0.0073  0.0466  0.0469  0.0472  0.04
Ashkenazy 1981   23  0.4337  0.0038  0.0536  0.1736  0.2533  0.21
Bacha 2000   66  0.325  0.0226  0.0645  0.1134  0.2140  0.15
Badura 1965   71  0.3154  0.0064  0.0648  0.0631  0.2148  0.11
Barbosa 1983   16  0.4662  0.0012  0.1117  0.4826  0.3718  0.42
Biret 1990   28  0.4165  0.0036  0.0629  0.2427  0.4324  0.32
Blet 2003   49  0.3757  0.0062  0.0552  0.0543  0.1554  0.09
Block 1995   52  0.3626  0.0046  0.0646  0.0648  0.0761  0.06
Blumental 1952   43  0.3879  0.0042  0.0538  0.1637  0.2037  0.18
Boshniakovich 1969   70  0.3186  0.0066  0.0563  0.0570  0.0474  0.04
Brailowsky 1960   79  0.2767  0.0076  0.0473  0.0455  0.0663  0.05
Bunin 1987   54  0.3528  0.0043  0.0540  0.1430  0.3035  0.20
Bunin 1987b   48  0.3719  0.0025  0.0726  0.2726  0.4122  0.33
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   69  0.3131  0.0077  0.0477  0.0450  0.0668  0.05
Cortot 1951   84  0.2440  0.0088  0.0478  0.0462  0.0580  0.04
Csalog 1996   17  0.4530  0.0016  0.1313  0.524  0.616  0.56
Czerny 1949   80  0.2758  0.0083  0.0288  0.0272  0.0487  0.03
Czerny 1990   6  0.484  0.026  0.128  0.5826  0.527  0.55
Duchoud 2007   19  0.456  0.028  0.126  0.582  0.733  0.65
Ezaki 2006   62  0.3387  0.0071  0.0471  0.0476  0.0469  0.04
Falvay 1989   22  0.4472  0.0029  0.0724  0.2843  0.1136  0.18
Farrell 1958   42  0.3849  0.0052  0.0472  0.0430  0.2649  0.10
Ferenczy 1958   81  0.2584  0.0080  0.0381  0.0345  0.1858  0.07
Fliere 1977   3  0.5321  0.003  0.225  0.6417  0.515  0.57
Fou 1978   21  0.4460  0.0034  0.0525  0.2739  0.2431  0.25
Francois 1956   83  0.2488  0.0085  0.0287  0.0277  0.0391  0.02
Friedman 1923   36  0.3918  0.0032  0.0533  0.2128  0.3927  0.29
Friedman 1923b   39  0.383  0.0333  0.0635  0.1727  0.4228  0.27
Friedman 1930   14  0.4613  0.0118  0.0915  0.5013  0.5710  0.53
Garcia 2007   72  0.3144  0.0048  0.0558  0.0529  0.3046  0.12
Garcia 2007b   45  0.3847  0.0035  0.0532  0.2221  0.4725  0.32
Gierzod 1998   61  0.3355  0.0061  0.0560  0.0555  0.0667  0.05
Gornostaeva 1994   58  0.3438  0.0049  0.0556  0.0565  0.0477  0.04
Groot 1988   29  0.417  0.0111  0.1211  0.5427  0.3617  0.44
Harasiewicz 1955   11  0.4716  0.0028  0.0630  0.2354  0.0647  0.12
Hatto 1993   10  0.4756  0.0014  0.149  0.5522  0.4114  0.47
Hatto 1997   25  0.4150  0.0040  0.0637  0.1742  0.1144  0.14
Horowitz 1949   47  0.3717  0.0037  0.0442  0.1317  0.5330  0.26
Indjic 1988   18  0.4545  0.0015  0.1014  0.5127  0.3915  0.45
Kapell 1951   8  0.4710  0.015  0.1616  0.5019  0.3916  0.44
Kissin 1993   35  0.3946  0.0053  0.0464  0.0444  0.1857  0.08
Kushner 1989   20  0.4523  0.0027  0.0631  0.2245  0.1041  0.15
Luisada 1991   37  0.3915  0.0144  0.0643  0.1357  0.0652  0.09
Lushtak 2004   40  0.3852  0.0065  0.0551  0.0539  0.1059  0.07
Malcuzynski 1961   44  0.3863  0.0060  0.0553  0.0567  0.0565  0.05
Magaloff 1978   31  0.4048  0.0019  0.1119  0.4225  0.3820  0.40
Magin 1975   38  0.3920  0.0039  0.0534  0.1838  0.2334  0.20
Michalowski 1933   75  0.3066  0.0030  0.0639  0.1517  0.4332  0.25
Milkina 1970   46  0.3869  0.0045  0.0741  0.1441  0.1939  0.16
Mohovich 1999   60  0.3468  0.0069  0.0554  0.0580  0.0475  0.04
Moravec 1969   30  0.4112  0.0110  0.1321  0.3433  0.3023  0.32
Morozova 2008   4  0.509  0.014  0.293  0.694  0.632  0.66
Neighaus 1950   56  0.3522  0.0057  0.0474  0.0464  0.0479  0.04
Niedzielski 1931   65  0.3280  0.0056  0.0475  0.0438  0.2053  0.09
Ohlsson 1999   7  0.4824  0.0013  0.1110  0.5512  0.4811  0.51
Osinska 1989   33  0.4043  0.0024  0.0627  0.2545  0.1138  0.17
Pachmann 1927   55  0.3535  0.0063  0.0650  0.0633  0.2845  0.13
Paderewski 1930   85  0.2390  0.0078  0.0384  0.0381  0.0385  0.03
Perlemuter 1992   68  0.3251  0.0074  0.0469  0.0449  0.0662  0.05
Pierdomenico 2008   41  0.3842  0.0058  0.0555  0.0522  0.4042  0.14
Poblocka 1999   27  0.4159  0.0031  0.0528  0.2536  0.2829  0.26
Rabcewiczowa 1932   76  0.2981  0.0070  0.0649  0.0655  0.0660  0.06
Rachmaninoff 1923   51  0.3632  0.0023  0.0922  0.3228  0.3521  0.33
Rangell 2001   59  0.3433  0.0051  0.0467  0.0442  0.1956  0.09
Richter 1976   5  0.5041  0.0017  0.1212  0.5227  0.4812  0.50
Rosen 1989   9  0.4711  0.019  0.127  0.589  0.519  0.54
Rosenthal 1930   78  0.2878  0.0082  0.0380  0.0368  0.0488  0.03
Rosenthal 1931   86  0.2191  0.0086  0.0286  0.0261  0.0586  0.03
Rosenthal 1931b   87  0.2182  0.0087  0.0479  0.0459  0.0481  0.04
Rosenthal 1931c   67  0.3261  0.0054  0.0476  0.0429  0.2651  0.10
Rosenthal 1931d   88  0.1976  0.0079  0.0383  0.0351  0.0578  0.04
Rossi 2007   82  0.2553  0.0081  0.0382  0.0347  0.0764  0.05
Rubinstein 1939   57  0.3536  0.0068  0.0561  0.0561  0.0470  0.04
Rubinstein 1952   63  0.3377  0.0067  0.0559  0.0571  0.0482  0.04
Rubinstein 1966   24  0.4283  0.0041  0.0544  0.1253  0.0755  0.09
Schilhawsky 1960   32  0.4075  0.0047  0.0562  0.0513  0.4243  0.14
Shebanova 2002   2  0.542  0.032  0.372  0.777  0.691  0.73
Smith 1975   74  0.3089  0.0084  0.0385  0.0368  0.0484  0.03
Sokolov 2002   73  0.3029  0.0075  0.0470  0.0474  0.0383  0.03
Sztompka 1959   26  0.4127  0.0021  0.1023  0.3035  0.3226  0.31
Tomsic 1995   77  0.2973  0.0072  0.0468  0.0469  0.0471  0.04
Uninsky 1932   53  0.3674  0.0055  0.0465  0.0463  0.0473  0.04
Uninsky 1971   50  0.3671  0.0050  0.0647  0.0664  0.0566  0.05
Wasowski 1980   13  0.468  0.017  0.124  0.6514  0.554  0.60
Zak 1937   12  0.4634  0.0020  0.1318  0.4715  0.5013  0.48
Zak 1951   15  0.4614  0.0122  0.0920  0.3817  0.4419  0.41
Average   1  0.651  0.721  0.711  0.9031  0.338  0.54
Random 1   91  -0.0485  0.0089  0.0189  0.0147  0.0590  0.02
Random 2   89  -0.0164  0.0090  0.0190  0.0161  0.0589  0.02
Random 3   90  -0.0270  0.0091  0.0191  0.0142  0.1376  0.04

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).