Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5225  0.0140  0.0441  0.1270  0.0350  0.06
Anderszewski 2003   77  0.2982  0.0077  0.0378  0.0370  0.0379  0.03
Ashkenazy 1981   25  0.5313  0.0216  0.0818  0.3645  0.0535  0.13
Bacha 2000   36  0.5017  0.0118  0.0716  0.396  0.529  0.45
Badura 1965   57  0.4043  0.0059  0.0464  0.0450  0.0568  0.04
Barbosa 1983   3  0.673  0.085  0.112  0.606  0.512  0.55
Biret 1990   15  0.588  0.034  0.137  0.535  0.476  0.50
Blet 2003   19  0.5657  0.0037  0.0439  0.1345  0.0740  0.10
Block 1995   66  0.3539  0.0074  0.0472  0.0463  0.0469  0.04
Blumental 1952   59  0.3948  0.0063  0.0470  0.0439  0.1145  0.07
Boshniakovich 1969   30  0.5179  0.0049  0.0458  0.0442  0.1246  0.07
Brailowsky 1960   13  0.5983  0.0028  0.1024  0.3119  0.3518  0.33
Bunin 1987   44  0.4658  0.0056  0.0550  0.0562  0.0470  0.04
Bunin 1987b   42  0.4750  0.0055  0.0549  0.0560  0.0461  0.04
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   69  0.3411  0.0261  0.0466  0.0418  0.3536  0.12
Cortot 1951   80  0.2781  0.0084  0.0286  0.0275  0.0390  0.02
Csalog 1996   60  0.3949  0.0047  0.0554  0.0520  0.3933  0.14
Czerny 1949   56  0.4060  0.0070  0.0469  0.0475  0.0382  0.03
Czerny 1990   31  0.5128  0.0041  0.0534  0.1651  0.0541  0.09
Duchoud 2007   38  0.4920  0.0120  0.1017  0.3734  0.2422  0.30
Ezaki 2006   22  0.5576  0.0036  0.0535  0.1461  0.0443  0.07
Falvay 1989   7  0.6410  0.0211  0.119  0.4927  0.2317  0.34
Farrell 1958   41  0.4761  0.0045  0.0647  0.0625  0.2137  0.11
Ferenczy 1958   85  0.2084  0.0085  0.0383  0.0382  0.0288  0.02
Fliere 1977   6  0.642  0.182  0.211  0.619  0.415  0.50
Fou 1978   8  0.6415  0.0210  0.106  0.5314  0.447  0.48
Francois 1956   55  0.4145  0.0053  0.0551  0.0566  0.0472  0.04
Friedman 1923   87  0.0844  0.0087  0.0287  0.0269  0.0586  0.03
Friedman 1923b   86  0.1037  0.0086  0.0285  0.0255  0.0584  0.03
Friedman 1930   84  0.2231  0.0078  0.0384  0.0381  0.0381  0.03
Garcia 2007   71  0.3263  0.0081  0.0553  0.0542  0.1242  0.08
Garcia 2007b   75  0.3168  0.0080  0.0379  0.0348  0.0573  0.04
Gierzod 1998   47  0.4471  0.0044  0.0640  0.1272  0.0351  0.06
Gornostaeva 1994   40  0.4773  0.0054  0.0646  0.0661  0.0455  0.05
Groot 1988   33  0.5162  0.0030  0.0727  0.2538  0.1331  0.18
Harasiewicz 1955   35  0.5065  0.0052  0.0645  0.0682  0.0371  0.04
Hatto 1993   65  0.3652  0.0023  0.0632  0.2124  0.2328  0.22
Hatto 1997   62  0.3840  0.0024  0.0833  0.2028  0.1929  0.19
Horowitz 1949   24  0.5418  0.0125  0.0821  0.3518  0.3219  0.33
Indjic 1988   64  0.3674  0.0021  0.0629  0.2228  0.2327  0.22
Kapell 1951   68  0.3451  0.0073  0.0376  0.0364  0.0476  0.03
Kissin 1993   17  0.5769  0.0026  0.0719  0.3631  0.2423  0.29
Kushner 1989   29  0.5138  0.0035  0.0538  0.1358  0.0444  0.07
Luisada 1991   9  0.6266  0.0014  0.1913  0.467  0.4310  0.44
Lushtak 2004   12  0.5919  0.0127  0.0725  0.3165  0.0438  0.11
Malcuzynski 1961   43  0.4659  0.0050  0.0552  0.0561  0.0462  0.04
Magaloff 1978   37  0.4923  0.0122  0.0622  0.3540  0.1526  0.23
Magin 1975   53  0.4246  0.0046  0.0460  0.0454  0.0459  0.04
Michalowski 1933   79  0.2742  0.0072  0.0374  0.0359  0.0563  0.04
Milkina 1970   32  0.5172  0.0013  0.1515  0.4213  0.4212  0.42
Mohovich 1999   18  0.5741  0.0031  0.0728  0.2445  0.0539  0.11
Moravec 1969   49  0.4370  0.0043  0.0536  0.1432  0.1832  0.16
Morozova 2008   10  0.619  0.0215  0.1412  0.4713  0.2616  0.35
Neighaus 1950   11  0.607  0.049  0.0911  0.4730  0.2715  0.36
Niedzielski 1931   81  0.2735  0.0066  0.0462  0.0454  0.0458  0.04
Ohlsson 1999   20  0.5612  0.0212  0.1310  0.4714  0.3911  0.43
Osinska 1989   34  0.5077  0.0042  0.0543  0.1064  0.0447  0.06
Pachmann 1927   5  0.654  0.086  0.174  0.574  0.591  0.58
Paderewski 1930   72  0.3253  0.0067  0.0373  0.0375  0.0287  0.02
Perlemuter 1992   23  0.5456  0.0051  0.0548  0.0553  0.0553  0.05
Pierdomenico 2008   14  0.5926  0.0129  0.1323  0.3423  0.2821  0.31
Poblocka 1999   48  0.4333  0.0048  0.0459  0.0454  0.0457  0.04
Rabcewiczowa 1932   58  0.4036  0.0057  0.0463  0.0460  0.0460  0.04
Rachmaninoff 1923   46  0.4521  0.0133  0.0531  0.2134  0.1530  0.18
Rangell 2001   39  0.4814  0.0217  0.0820  0.369  0.3814  0.37
Richter 1976   63  0.3854  0.0060  0.0468  0.0474  0.0377  0.03
Rosen 1989   16  0.5830  0.0019  0.0814  0.4218  0.4213  0.42
Rosenthal 1930   83  0.2234  0.0079  0.0382  0.0369  0.0383  0.03
Rosenthal 1931   76  0.3087  0.0075  0.0381  0.0350  0.0565  0.04
Rosenthal 1931b   70  0.3385  0.0065  0.0555  0.0548  0.0556  0.05
Rosenthal 1931c   82  0.2480  0.0076  0.0375  0.0367  0.0385  0.03
Rosenthal 1931d   67  0.3488  0.0064  0.0465  0.0441  0.1052  0.06
Rossi 2007   74  0.3286  0.0083  0.0380  0.0378  0.0375  0.03
Rubinstein 1939   78  0.2924  0.0162  0.0456  0.0415  0.4334  0.13
Rubinstein 1952   26  0.5229  0.0032  0.0630  0.2218  0.4620  0.32
Rubinstein 1966   45  0.4616  0.0134  0.0637  0.1421  0.4324  0.25
Schilhawsky 1960   52  0.4255  0.0058  0.0457  0.0469  0.0380  0.03
Shebanova 2002   2  0.686  0.053  0.113  0.596  0.523  0.55
Smith 1975   21  0.5578  0.0039  0.0542  0.1173  0.0348  0.06
Sokolov 2002   61  0.3975  0.0071  0.0461  0.0467  0.0374  0.03
Sztompka 1959   73  0.3267  0.0082  0.0377  0.0373  0.0378  0.03
Tomsic 1995   28  0.5232  0.0038  0.0444  0.0951  0.0449  0.06
Uninsky 1932   51  0.4327  0.0168  0.0471  0.0452  0.0566  0.04
Uninsky 1971   54  0.4247  0.0069  0.0467  0.0461  0.0464  0.04
Wasowski 1980   50  0.435  0.078  0.1226  0.2527  0.2225  0.23
Zak 1937   1  0.681  0.181  0.185  0.557  0.484  0.51
Zak 1951   4  0.6722  0.017  0.178  0.5213  0.428  0.47
Random 1   88  0.0664  0.0090  0.0190  0.0123  0.2754  0.05
Random 2   90  -0.1189  0.0089  0.0189  0.0133  0.1767  0.04
Random 3   89  0.0290  0.0088  0.0188  0.0151  0.0589  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).