Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.3815  0.0227  0.0744  0.1141  0.1331  0.12
Anderszewski 2003   47  0.3738  0.0040  0.0542  0.1365  0.0544  0.08
Ashkenazy 1981   67  0.2979  0.0075  0.0377  0.0386  0.0287  0.02
Bacha 2000   71  0.2819  0.0253  0.0652  0.0660  0.0451  0.05
Badura 1965   50  0.3610  0.0326  0.0740  0.1533  0.2119  0.18
Barbosa 1983   9  0.471  0.121  0.125  0.5157  0.0714  0.19
Biret 1990   14  0.4531  0.0113  0.0816  0.4045  0.0722  0.17
Blet 2003   74  0.2663  0.0080  0.0282  0.0286  0.0284  0.02
Block 1995   48  0.3734  0.0023  0.0724  0.3040  0.1512  0.21
Blumental 1952   32  0.4059  0.0035  0.0529  0.2449  0.0632  0.12
Boshniakovich 1969   56  0.3480  0.0061  0.0651  0.0666  0.0463  0.05
Brailowsky 1960   60  0.3383  0.0064  0.0470  0.0467  0.0466  0.04
Bunin 1987   65  0.3147  0.0058  0.0560  0.0577  0.0376  0.04
Bunin 1987b   58  0.3343  0.0044  0.0741  0.1351  0.0641  0.09
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   64  0.3125  0.0160  0.0746  0.0735  0.1338  0.10
Cortot 1951   85  0.1758  0.0085  0.0287  0.0272  0.0389  0.02
Csalog 1996   28  0.4121  0.0121  0.0720  0.3454  0.0530  0.13
Czerny 1949   55  0.3565  0.0063  0.0468  0.0464  0.0573  0.04
Czerny 1990   11  0.4620  0.0122  0.0721  0.3355  0.0627  0.14
Duchoud 2007   54  0.359  0.0325  0.0735  0.2013  0.535  0.33
Ezaki 2006   10  0.4711  0.029  0.0910  0.4543  0.1210  0.23
Falvay 1989   2  0.5028  0.017  0.072  0.5448  0.0616  0.18
Farrell 1958   61  0.3277  0.0052  0.0559  0.0575  0.0469  0.04
Ferenczy 1958   22  0.4112  0.0216  0.0812  0.4316  0.541  0.48
Fliere 1977   3  0.4823  0.018  0.098  0.4667  0.0524  0.15
Fou 1978   24  0.4132  0.0136  0.0628  0.2561  0.0534  0.11
Francois 1956   72  0.2640  0.0082  0.0281  0.0283  0.0390  0.02
Friedman 1923   80  0.2453  0.0070  0.0375  0.0372  0.0481  0.03
Friedman 1923b   81  0.2418  0.0271  0.0372  0.0368  0.0479  0.03
Friedman 1930   42  0.3826  0.0146  0.0561  0.0531  0.2636  0.11
Garcia 2007   68  0.2971  0.0059  0.0654  0.0653  0.0562  0.05
Garcia 2007b   40  0.3835  0.0037  0.0633  0.2041  0.1225  0.15
Gierzod 1998   1  0.515  0.073  0.104  0.5252  0.0618  0.18
Gornostaeva 1994   49  0.3672  0.0038  0.0536  0.1958  0.0539  0.10
Groot 1988   43  0.383  0.092  0.117  0.4832  0.197  0.30
Harasiewicz 1955   26  0.4154  0.0039  0.0543  0.1387  0.0350  0.06
Hatto 1993   29  0.4081  0.0042  0.0639  0.1773  0.0447  0.08
Hatto 1997   20  0.4245  0.0029  0.0627  0.2570  0.0437  0.10
Horowitz 1949   78  0.2549  0.0074  0.0374  0.0363  0.0570  0.04
Indjic 1988   27  0.4184  0.0043  0.0838  0.1868  0.0443  0.08
Kapell 1951   17  0.4330  0.0118  0.0818  0.3542  0.1511  0.23
Kissin 1993   38  0.3948  0.0055  0.0656  0.0666  0.0559  0.05
Kushner 1989   31  0.4087  0.0047  0.0562  0.0554  0.0655  0.05
Luisada 1991   63  0.3268  0.0062  0.0563  0.0553  0.0552  0.05
Lushtak 2004   19  0.4229  0.0133  0.0634  0.2077  0.0442  0.09
Malcuzynski 1961   46  0.3733  0.0056  0.0647  0.0664  0.0456  0.05
Magaloff 1978   15  0.454  0.076  0.0915  0.4038  0.208  0.28
Magin 1975   33  0.4041  0.0030  0.0531  0.2258  0.0440  0.09
Michalowski 1933   87  0.1473  0.0087  0.0378  0.0342  0.1058  0.05
Milkina 1970   18  0.4362  0.0032  0.0522  0.3369  0.0529  0.13
Mohovich 1999   35  0.3978  0.0041  0.0637  0.1859  0.0445  0.08
Moravec 1969   30  0.407  0.0620  0.0726  0.2544  0.1220  0.17
Morozova 2008   16  0.4422  0.0110  0.071  0.5529  0.292  0.40
Neighaus 1950   77  0.2560  0.0081  0.0284  0.0273  0.0388  0.02
Niedzielski 1931   84  0.1988  0.0083  0.0373  0.0359  0.0568  0.04
Ohlsson 1999   23  0.4136  0.0024  0.0730  0.2344  0.1221  0.17
Osinska 1989   6  0.4839  0.0015  0.0913  0.4252  0.0623  0.16
Pachmann 1927   82  0.2466  0.0084  0.0469  0.0461  0.0471  0.04
Paderewski 1930   86  0.1464  0.0086  0.0286  0.0276  0.0383  0.02
Perlemuter 1992   59  0.3357  0.0069  0.0557  0.0554  0.0553  0.05
Pierdomenico 2008   66  0.3089  0.0076  0.0280  0.0261  0.0577  0.03
Poblocka 1999   12  0.466  0.064  0.1014  0.4153  0.0815  0.18
Rabcewiczowa 1932   34  0.4042  0.0017  0.0717  0.3842  0.1113  0.20
Rachmaninoff 1923   69  0.2927  0.0148  0.0565  0.0564  0.0467  0.04
Rangell 2001   62  0.3282  0.0068  0.0649  0.0648  0.0749  0.06
Richter 1976   44  0.3856  0.0057  0.0745  0.0768  0.0357  0.05
Rosen 1989   8  0.4717  0.0214  0.106  0.4928  0.324  0.40
Rosenthal 1930   73  0.2667  0.0072  0.0376  0.0351  0.0574  0.04
Rosenthal 1931   79  0.2574  0.0073  0.0371  0.0346  0.0760  0.05
Rosenthal 1931b   76  0.2569  0.0079  0.0285  0.0257  0.0580  0.03
Rosenthal 1931c   52  0.3546  0.0050  0.0648  0.0643  0.1048  0.08
Rosenthal 1931d   70  0.2970  0.0066  0.0466  0.0449  0.0664  0.05
Rossi 2007   39  0.3837  0.0049  0.0564  0.0530  0.2633  0.11
Rubinstein 1939   57  0.3390  0.0065  0.0467  0.0477  0.0378  0.03
Rubinstein 1952   21  0.4251  0.0045  0.0653  0.0664  0.0465  0.05
Rubinstein 1966   13  0.4613  0.0219  0.0823  0.3176  0.0435  0.11
Schilhawsky 1960   45  0.3855  0.0054  0.0650  0.0660  0.0461  0.05
Shebanova 2002   5  0.482  0.095  0.093  0.5227  0.313  0.40
Smith 1975   53  0.3585  0.0067  0.0655  0.0667  0.0454  0.05
Sokolov 2002   75  0.2544  0.0078  0.0379  0.0386  0.0282  0.02
Sztompka 1959   51  0.3650  0.0051  0.0558  0.0573  0.0472  0.04
Tomsic 1995   36  0.3924  0.0134  0.0532  0.2243  0.1417  0.18
Uninsky 1932   83  0.2275  0.0077  0.0283  0.0280  0.0385  0.02
Uninsky 1971   25  0.4176  0.0028  0.0619  0.3555  0.0626  0.14
Wasowski 1980   37  0.3916  0.0231  0.0625  0.2955  0.0628  0.13
Zak 1937   7  0.478  0.0511  0.0711  0.4538  0.236  0.32
Zak 1951   4  0.4814  0.0212  0.079  0.4535  0.169  0.27
Random 1   90  -0.0786  0.0090  0.0190  0.0136  0.1875  0.04
Random 2   89  -0.0352  0.0089  0.0189  0.0167  0.0386  0.02
Random 3   88  0.0061  0.0088  0.0288  0.0218  0.3046  0.08

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).