Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.4026  0.0058  0.0556  0.0534  0.2249  0.10
Anderszewski 2003   63  0.3243  0.0072  0.0465  0.0468  0.0471  0.04
Ashkenazy 1981   22  0.4325  0.0037  0.0535  0.1735  0.2532  0.21
Bacha 2000   65  0.3210  0.0225  0.0644  0.1133  0.2139  0.15
Badura 1965   70  0.3152  0.0063  0.0647  0.0630  0.2147  0.11
Barbosa 1983   15  0.4663  0.0011  0.1116  0.4825  0.3717  0.42
Biret 1990   27  0.4164  0.0035  0.0628  0.2426  0.4323  0.32
Blet 2003   48  0.3756  0.0061  0.0551  0.0542  0.1553  0.09
Block 1995   51  0.3629  0.0045  0.0645  0.0647  0.0760  0.06
Blumental 1952   42  0.3876  0.0041  0.0537  0.1636  0.2036  0.18
Boshniakovich 1969   69  0.3184  0.0065  0.0562  0.0569  0.0473  0.04
Brailowsky 1960   78  0.2768  0.0075  0.0472  0.0454  0.0662  0.05
Bunin 1987   53  0.3527  0.0042  0.0539  0.1429  0.3034  0.20
Bunin 1987b   47  0.3721  0.0024  0.0725  0.2725  0.4121  0.33
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   68  0.3132  0.0076  0.0476  0.0449  0.0667  0.05
Cortot 1951   83  0.2440  0.0087  0.0477  0.0461  0.0579  0.04
Csalog 1996   16  0.4530  0.0015  0.1312  0.523  0.616  0.56
Czerny 1949   79  0.2759  0.0082  0.0287  0.0271  0.0486  0.03
Czerny 1990   5  0.489  0.035  0.127  0.5825  0.527  0.55
Duchoud 2007   18  0.457  0.037  0.125  0.581  0.733  0.65
Ezaki 2006   61  0.3386  0.0070  0.0470  0.0475  0.0468  0.04
Falvay 1989   21  0.4467  0.0028  0.0723  0.2842  0.1135  0.18
Farrell 1958   41  0.3850  0.0051  0.0471  0.0429  0.2648  0.10
Ferenczy 1958   80  0.2583  0.0079  0.0380  0.0344  0.1857  0.07
Fliere 1977   2  0.532  0.132  0.234  0.6416  0.515  0.57
Fou 1978   20  0.4460  0.0033  0.0524  0.2738  0.2430  0.25
Francois 1956   82  0.2487  0.0084  0.0286  0.0276  0.0390  0.02
Friedman 1923   35  0.3915  0.0131  0.0532  0.2127  0.3926  0.29
Friedman 1923b   38  0.388  0.0332  0.0634  0.1726  0.4227  0.27
Friedman 1930   13  0.4617  0.0117  0.0914  0.5012  0.579  0.53
Garcia 2007   71  0.3138  0.0047  0.0557  0.0528  0.3045  0.12
Garcia 2007b   44  0.3846  0.0034  0.0531  0.2220  0.4724  0.32
Gierzod 1998   60  0.3355  0.0060  0.0559  0.0554  0.0666  0.05
Gornostaeva 1994   57  0.3442  0.0048  0.0555  0.0564  0.0476  0.04
Groot 1988   28  0.416  0.0310  0.1210  0.5426  0.3616  0.44
Harasiewicz 1955   10  0.4713  0.0127  0.0629  0.2353  0.0646  0.12
Hatto 1993   9  0.4747  0.0013  0.148  0.5521  0.4113  0.47
Hatto 1997   24  0.4151  0.0039  0.0636  0.1741  0.1143  0.14
Horowitz 1949   46  0.3720  0.0036  0.0541  0.1316  0.5329  0.26
Indjic 1988   17  0.4548  0.0014  0.1013  0.5126  0.3914  0.45
Kapell 1951   7  0.473  0.094  0.1615  0.5018  0.3915  0.44
Kissin 1993   34  0.3949  0.0052  0.0463  0.0443  0.1856  0.08
Kushner 1989   19  0.4518  0.0126  0.0630  0.2244  0.1040  0.15
Luisada 1991   36  0.3919  0.0143  0.0642  0.1356  0.0651  0.09
Lushtak 2004   39  0.3854  0.0064  0.0550  0.0538  0.1058  0.07
Malcuzynski 1961   43  0.3861  0.0059  0.0552  0.0566  0.0564  0.05
Magaloff 1978   30  0.4041  0.0018  0.1118  0.4224  0.3819  0.40
Magin 1975   37  0.3922  0.0038  0.0533  0.1837  0.2333  0.20
Michalowski 1933   74  0.3039  0.0029  0.0638  0.1516  0.4331  0.25
Milkina 1970   45  0.3870  0.0044  0.0740  0.1440  0.1938  0.16
Mohovich 1999   59  0.3465  0.0068  0.0553  0.0579  0.0474  0.04
Moravec 1969   29  0.415  0.059  0.1320  0.3432  0.3022  0.32
Morozova 2008   3  0.504  0.063  0.292  0.693  0.632  0.66
Neighaus 1950   55  0.3524  0.0056  0.0473  0.0463  0.0478  0.04
Niedzielski 1931   64  0.3273  0.0055  0.0474  0.0437  0.2052  0.09
Ohlsson 1999   6  0.4823  0.0012  0.119  0.5511  0.4810  0.51
Osinska 1989   32  0.4044  0.0023  0.0626  0.2544  0.1137  0.17
Pachmann 1927   54  0.3536  0.0062  0.0649  0.0632  0.2844  0.13
Paderewski 1930   84  0.2389  0.0077  0.0383  0.0380  0.0384  0.03
Perlemuter 1992   67  0.3253  0.0073  0.0468  0.0448  0.0661  0.05
Pierdomenico 2008   40  0.3845  0.0057  0.0554  0.0521  0.4041  0.14
Poblocka 1999   26  0.4157  0.0030  0.0527  0.2535  0.2828  0.26
Rabcewiczowa 1932   75  0.2980  0.0069  0.0648  0.0654  0.0659  0.06
Rachmaninoff 1923   50  0.3633  0.0022  0.0921  0.3227  0.3520  0.33
Rangell 2001   58  0.3434  0.0050  0.0466  0.0441  0.1955  0.09
Richter 1976   4  0.5014  0.0116  0.1211  0.5226  0.4811  0.50
Rosen 1989   8  0.4712  0.028  0.126  0.588  0.518  0.54
Rosenthal 1930   77  0.2881  0.0081  0.0379  0.0367  0.0487  0.03
Rosenthal 1931   85  0.2190  0.0085  0.0285  0.0260  0.0585  0.03
Rosenthal 1931b   86  0.2182  0.0086  0.0478  0.0458  0.0480  0.04
Rosenthal 1931c   66  0.3262  0.0053  0.0475  0.0428  0.2650  0.10
Rosenthal 1931d   87  0.1977  0.0078  0.0382  0.0350  0.0577  0.04
Rossi 2007   81  0.2558  0.0080  0.0381  0.0346  0.0763  0.05
Rubinstein 1939   56  0.3537  0.0067  0.0560  0.0560  0.0469  0.04
Rubinstein 1952   62  0.3378  0.0066  0.0558  0.0570  0.0481  0.04
Rubinstein 1966   23  0.4279  0.0040  0.0543  0.1252  0.0754  0.09
Schilhawsky 1960   31  0.4075  0.0046  0.0561  0.0512  0.4242  0.14
Shebanova 2002   1  0.541  0.381  0.381  0.776  0.691  0.73
Smith 1975   73  0.3088  0.0083  0.0384  0.0367  0.0483  0.03
Sokolov 2002   72  0.3031  0.0074  0.0469  0.0473  0.0382  0.03
Sztompka 1959   25  0.4128  0.0020  0.1022  0.3034  0.3225  0.31
Tomsic 1995   76  0.2969  0.0071  0.0467  0.0468  0.0470  0.04
Uninsky 1932   52  0.3674  0.0054  0.0464  0.0462  0.0472  0.04
Uninsky 1971   49  0.3671  0.0049  0.0646  0.0663  0.0565  0.05
Wasowski 1980   12  0.4611  0.026  0.123  0.6513  0.554  0.60
Zak 1937   11  0.4635  0.0019  0.1317  0.4714  0.5012  0.48
Zak 1951   14  0.4616  0.0121  0.0919  0.3816  0.4418  0.41
Random 1   90  -0.0485  0.0088  0.0188  0.0146  0.0589  0.02
Random 2   88  -0.0166  0.0089  0.0189  0.0162  0.0588  0.02
Random 3   89  -0.0272  0.0090  0.0190  0.0141  0.1375  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).