Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.3816  0.0128  0.0745  0.1142  0.1331  0.12
Anderszewski 2003   48  0.3728  0.0041  0.0543  0.1366  0.0545  0.08
Ashkenazy 1981   68  0.2980  0.0076  0.0378  0.0387  0.0288  0.02
Bacha 2000   72  0.2812  0.0154  0.0653  0.0661  0.0452  0.05
Badura 1965   51  0.365  0.0327  0.0741  0.1534  0.2119  0.18
Barbosa 1983   10  0.476  0.022  0.126  0.5158  0.0715  0.19
Biret 1990   15  0.4537  0.0014  0.0817  0.4046  0.0722  0.17
Blet 2003   75  0.2663  0.0081  0.0283  0.0287  0.0285  0.02
Block 1995   49  0.3734  0.0024  0.0725  0.3041  0.1513  0.21
Blumental 1952   33  0.4059  0.0036  0.0530  0.2450  0.0632  0.12
Boshniakovich 1969   57  0.3481  0.0062  0.0652  0.0667  0.0463  0.05
Brailowsky 1960   61  0.3384  0.0065  0.0471  0.0468  0.0466  0.04
Bunin 1987   66  0.3140  0.0059  0.0561  0.0578  0.0377  0.04
Bunin 1987b   59  0.3335  0.0045  0.0742  0.1352  0.0641  0.09
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   65  0.3118  0.0161  0.0647  0.0636  0.1343  0.09
Cortot 1951   86  0.1754  0.0086  0.0288  0.0273  0.0390  0.02
Csalog 1996   29  0.4144  0.0022  0.0721  0.3455  0.0530  0.13
Czerny 1949   56  0.3564  0.0064  0.0469  0.0465  0.0574  0.04
Czerny 1990   12  0.4613  0.0123  0.0722  0.3356  0.0628  0.14
Duchoud 2007   55  0.359  0.0226  0.0636  0.2014  0.535  0.33
Ezaki 2006   11  0.4721  0.0110  0.0911  0.4544  0.1210  0.23
Falvay 1989   3  0.5071  0.008  0.073  0.5449  0.0524  0.16
Farrell 1958   62  0.3278  0.0053  0.0560  0.0576  0.0469  0.04
Ferenczy 1958   23  0.4119  0.0117  0.0813  0.4317  0.541  0.48
Fliere 1977   4  0.4851  0.009  0.089  0.4668  0.0525  0.15
Fou 1978   25  0.4124  0.0137  0.0629  0.2562  0.0534  0.11
Francois 1956   73  0.2631  0.0083  0.0282  0.0284  0.0391  0.02
Friedman 1923   81  0.2448  0.0071  0.0376  0.0373  0.0482  0.03
Friedman 1923b   82  0.2411  0.0272  0.0373  0.0369  0.0480  0.03
Friedman 1930   43  0.3820  0.0147  0.0562  0.0532  0.2637  0.11
Garcia 2007   69  0.2972  0.0060  0.0655  0.0654  0.0562  0.05
Garcia 2007b   41  0.3825  0.0038  0.0534  0.2042  0.1226  0.15
Gierzod 1998   2  0.5160  0.004  0.105  0.5253  0.0618  0.18
Gornostaeva 1994   50  0.3673  0.0039  0.0537  0.1959  0.0539  0.10
Groot 1988   44  0.382  0.063  0.118  0.4833  0.197  0.30
Harasiewicz 1955   27  0.4149  0.0040  0.0544  0.1388  0.0351  0.06
Hatto 1993   30  0.4082  0.0043  0.0640  0.1774  0.0448  0.08
Hatto 1997   21  0.4236  0.0030  0.0628  0.2571  0.0438  0.10
Horowitz 1949   79  0.2542  0.0075  0.0375  0.0364  0.0570  0.04
Indjic 1988   28  0.4185  0.0044  0.0839  0.1869  0.0444  0.08
Kapell 1951   18  0.4339  0.0019  0.0819  0.3543  0.1511  0.23
Kissin 1993   39  0.3947  0.0056  0.0657  0.0667  0.0560  0.05
Kushner 1989   32  0.4088  0.0048  0.0563  0.0555  0.0556  0.05
Luisada 1991   64  0.3268  0.0063  0.0564  0.0554  0.0553  0.05
Lushtak 2004   20  0.4223  0.0134  0.0635  0.2078  0.0442  0.09
Malcuzynski 1961   47  0.3726  0.0057  0.0648  0.0665  0.0457  0.05
Magaloff 1978   16  0.454  0.037  0.0916  0.4039  0.208  0.28
Magin 1975   34  0.4030  0.0031  0.0532  0.2259  0.0440  0.09
Michalowski 1933   88  0.1474  0.0088  0.0379  0.0343  0.1059  0.05
Milkina 1970   19  0.4361  0.0033  0.0523  0.3370  0.0435  0.11
Mohovich 1999   36  0.3979  0.0042  0.0638  0.1860  0.0446  0.08
Moravec 1969   31  0.403  0.0521  0.0727  0.2545  0.1220  0.17
Morozova 2008   17  0.4432  0.0011  0.072  0.5530  0.292  0.40
Neighaus 1950   78  0.2556  0.0082  0.0285  0.0274  0.0389  0.02
Niedzielski 1931   85  0.1989  0.0084  0.0374  0.0360  0.0568  0.04
Ohlsson 1999   24  0.4127  0.0025  0.0731  0.2345  0.1221  0.17
Osinska 1989   7  0.4857  0.0016  0.0914  0.4253  0.0623  0.16
Pachmann 1927   83  0.2465  0.0085  0.0470  0.0462  0.0471  0.04
Paderewski 1930   87  0.1466  0.0087  0.0287  0.0277  0.0384  0.02
Perlemuter 1992   60  0.3353  0.0070  0.0558  0.0555  0.0554  0.05
Pierdomenico 2008   67  0.3090  0.0077  0.0281  0.0262  0.0478  0.03
Poblocka 1999   13  0.4641  0.005  0.0915  0.4154  0.0816  0.18
Rabcewiczowa 1932   35  0.4052  0.0018  0.0718  0.3843  0.1114  0.20
Rachmaninoff 1923   70  0.2922  0.0149  0.0566  0.0565  0.0467  0.04
Rangell 2001   63  0.3283  0.0069  0.0650  0.0649  0.0750  0.06
Richter 1976   45  0.3855  0.0058  0.0746  0.0769  0.0358  0.05
Rosen 1989   9  0.4714  0.0115  0.107  0.4929  0.324  0.40
Rosenthal 1930   74  0.2667  0.0073  0.0377  0.0352  0.0575  0.04
Rosenthal 1931   80  0.2575  0.0074  0.0372  0.0347  0.0673  0.04
Rosenthal 1931b   77  0.2569  0.0080  0.0286  0.0258  0.0581  0.03
Rosenthal 1931c   53  0.3543  0.0051  0.0649  0.0644  0.1049  0.08
Rosenthal 1931d   71  0.2970  0.0067  0.0467  0.0450  0.0664  0.05
Rossi 2007   40  0.3829  0.0050  0.0565  0.0531  0.2633  0.11
Rubinstein 1939   58  0.3391  0.0066  0.0468  0.0478  0.0379  0.03
Rubinstein 1952   22  0.4245  0.0046  0.0654  0.0665  0.0465  0.05
Rubinstein 1966   14  0.467  0.0220  0.0824  0.3177  0.0436  0.11
Schilhawsky 1960   46  0.3850  0.0055  0.0651  0.0661  0.0461  0.05
Shebanova 2002   6  0.4817  0.016  0.094  0.5228  0.313  0.40
Smith 1975   54  0.3586  0.0068  0.0656  0.0668  0.0455  0.05
Sokolov 2002   76  0.2538  0.0079  0.0380  0.0387  0.0283  0.02
Sztompka 1959   52  0.3662  0.0052  0.0559  0.0574  0.0472  0.04
Tomsic 1995   37  0.3915  0.0135  0.0533  0.2244  0.1417  0.18
Uninsky 1932   84  0.2276  0.0078  0.0284  0.0281  0.0386  0.02
Uninsky 1971   26  0.4177  0.0029  0.0620  0.3556  0.0627  0.14
Wasowski 1980   38  0.3910  0.0232  0.0626  0.2956  0.0629  0.13
Zak 1937   8  0.4733  0.0012  0.0712  0.4539  0.236  0.32
Zak 1951   5  0.488  0.0213  0.0710  0.4536  0.169  0.27
Average   1  0.591  0.541  0.531  0.7653  0.0712  0.23
Random 1   91  -0.0787  0.0091  0.0191  0.0138  0.1976  0.04
Random 2   90  -0.0346  0.0090  0.0190  0.0165  0.0387  0.02
Random 3   89  0.0058  0.0089  0.0289  0.0218  0.3147  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).