Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.4432  0.0033  0.0836  0.2711  0.5329  0.38
Anderszewski 2003   12  0.4815  0.0110  0.1211  0.615  0.706  0.65
Ashkenazy 1981   2  0.544  0.076  0.145  0.673  0.723  0.69
Bacha 2000   44  0.3923  0.0024  0.0834  0.2713  0.5428  0.38
Badura 1965   28  0.4326  0.0022  0.1021  0.452  0.6917  0.56
Barbosa 1983   25  0.4344  0.0029  0.0831  0.3232  0.2635  0.29
Biret 1990   70  0.3233  0.0073  0.0377  0.0348  0.0684  0.04
Blet 2003   51  0.3856  0.0061  0.0554  0.0539  0.2258  0.10
Block 1995   20  0.4434  0.0018  0.1917  0.526  0.6513  0.58
Blumental 1952   14  0.475  0.068  0.129  0.646  0.714  0.67
Boshniakovich 1969   30  0.426  0.0512  0.1118  0.5220  0.4721  0.49
Brailowsky 1960   32  0.4241  0.0030  0.0827  0.3510  0.6722  0.48
Bunin 1987   84  0.2673  0.0086  0.0373  0.0381  0.0387  0.03
Bunin 1987b   83  0.2688  0.0085  0.0287  0.0280  0.0388  0.02
Chiu 1999   21  0.4455  0.0037  0.0738  0.2424  0.2738  0.25
Cohen 1997   74  0.3165  0.0081  0.0471  0.0452  0.0675  0.05
Cortot 1951   77  0.2971  0.0071  0.0382  0.0326  0.3459  0.10
Csalog 1996   61  0.3529  0.0053  0.0460  0.0424  0.2757  0.10
Czerny 1949   59  0.3661  0.0063  0.0461  0.0433  0.4350  0.13
Czerny 1990   4  0.528  0.043  0.162  0.749  0.752  0.74
Duchoud 2007   76  0.3060  0.0082  0.0379  0.0352  0.0683  0.04
Ezaki 2006   16  0.4738  0.0027  0.1020  0.4817  0.5620  0.52
Falvay 1989   7  0.503  0.095  0.1314  0.556  0.5219  0.53
Farrell 1958   50  0.3866  0.0041  0.0641  0.1714  0.4834  0.29
Ferenczy 1958   56  0.3737  0.0052  0.0463  0.0410  0.7143  0.17
Fliere 1977   1  0.571  0.241  0.241  0.806  0.701  0.75
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   78  0.2935  0.0074  0.0375  0.0342  0.1371  0.06
Friedman 1923   58  0.3643  0.0050  0.0558  0.0521  0.4946  0.16
Friedman 1923b   57  0.3672  0.0049  0.0557  0.0525  0.4647  0.15
Friedman 1930   80  0.2952  0.0076  0.0286  0.0258  0.0586  0.03
Garcia 2007   73  0.3145  0.0070  0.0462  0.0442  0.1068  0.06
Garcia 2007b   71  0.3274  0.0069  0.0374  0.0339  0.1472  0.06
Gierzod 1998   9  0.4911  0.019  0.116  0.668  0.638  0.64
Gornostaeva 1994   45  0.3957  0.0060  0.0555  0.0546  0.0870  0.06
Groot 1988   36  0.4175  0.0036  0.0737  0.2639  0.1540  0.20
Harasiewicz 1955   5  0.529  0.024  0.154  0.697  0.599  0.64
Hatto 1993   27  0.4383  0.0034  0.1133  0.3044  0.1241  0.19
Hatto 1997   42  0.4078  0.0045  0.0649  0.0662  0.0474  0.05
Horowitz 1949   82  0.2690  0.0079  0.0380  0.0345  0.0680  0.04
Indjic 1988   41  0.4069  0.0047  0.0551  0.0549  0.0767  0.06
Kapell 1951   17  0.4613  0.0115  0.128  0.6411  0.5014  0.57
Kissin 1993   10  0.4930  0.0013  0.1112  0.6011  0.6710  0.63
Kushner 1989   6  0.5151  0.0011  0.1510  0.6314  0.5312  0.58
Luisada 1991   34  0.4139  0.0042  0.0642  0.1235  0.2245  0.16
Lushtak 2004   38  0.4067  0.0019  0.1124  0.4217  0.5324  0.47
Malcuzynski 1961   33  0.4146  0.0038  0.0935  0.2748  0.0648  0.13
Magaloff 1978   47  0.3820  0.0044  0.0644  0.1160  0.0463  0.07
Magin 1975   53  0.3817  0.0155  0.0746  0.0753  0.0566  0.06
Michalowski 1933   86  0.2270  0.0084  0.0383  0.0355  0.0681  0.04
Milkina 1970   22  0.4422  0.0028  0.1126  0.3727  0.4426  0.40
Mohovich 1999   31  0.4248  0.0035  0.0829  0.3327  0.4230  0.37
Moravec 1969   26  0.4321  0.0021  0.0932  0.3128  0.3231  0.31
Morozova 2008   11  0.497  0.057  0.177  0.654  0.637  0.64
Neighaus 1950   64  0.3559  0.0058  0.0556  0.0544  0.1262  0.08
Niedzielski 1931   68  0.3231  0.0075  0.0285  0.0254  0.0585  0.03
Ohlsson 1999   37  0.4136  0.0043  0.0643  0.1240  0.1549  0.13
Osinska 1989   46  0.3986  0.0057  0.0745  0.0752  0.0565  0.06
Pachmann 1927   66  0.3328  0.0066  0.0466  0.0428  0.3651  0.12
Paderewski 1930   85  0.2468  0.0068  0.0467  0.0438  0.2855  0.11
Perlemuter 1992   63  0.3584  0.0064  0.0376  0.0331  0.2760  0.09
Pierdomenico 2008   69  0.3262  0.0080  0.0381  0.0351  0.0579  0.04
Poblocka 1999   13  0.4724  0.0014  0.1313  0.578  0.6211  0.59
Rabcewiczowa 1932   67  0.3385  0.0062  0.0553  0.0542  0.1361  0.08
Rachmaninoff 1923   52  0.3816  0.0139  0.0940  0.2123  0.3836  0.28
Rangell 2001   54  0.3840  0.0046  0.0647  0.0619  0.5242  0.18
Richter 1976   8  0.4912  0.0116  0.1415  0.5418  0.5915  0.56
Rosen 1989   18  0.4610  0.0126  0.0828  0.3328  0.2733  0.30
Rosenthal 1930   55  0.3763  0.0059  0.0559  0.0522  0.5644  0.17
Rosenthal 1931   60  0.3558  0.0056  0.0650  0.0612  0.6939  0.20
Rosenthal 1931b   75  0.3077  0.0077  0.0384  0.0325  0.4652  0.12
Rosenthal 1931c   72  0.3154  0.0078  0.0468  0.0446  0.0676  0.05
Rosenthal 1931d   81  0.2880  0.0072  0.0378  0.0319  0.4356  0.11
Rossi 2007   87  0.2064  0.0087  0.0470  0.0454  0.0578  0.04
Rubinstein 1939   29  0.4218  0.0120  0.1123  0.4313  0.5223  0.47
Rubinstein 1952   39  0.4027  0.0031  0.0825  0.3831  0.4027  0.39
Rubinstein 1966   3  0.532  0.242  0.393  0.7212  0.615  0.66
Schilhawsky 1960   79  0.2950  0.0083  0.0469  0.0462  0.0482  0.04
Shebanova 2002   23  0.4425  0.0032  0.0830  0.3337  0.2832  0.30
Smith 1975   62  0.3519  0.0067  0.0464  0.0444  0.1264  0.07
Sokolov 2002   65  0.3487  0.0065  0.0472  0.0450  0.0673  0.05
Sztompka 1959   15  0.4742  0.0025  0.0819  0.5014  0.5818  0.54
Tomsic 1995   49  0.3847  0.0054  0.0552  0.0529  0.2554  0.11
Uninsky 1932   19  0.4653  0.0017  0.1316  0.5211  0.6116  0.56
Uninsky 1971   35  0.4114  0.0123  0.0722  0.4420  0.4525  0.44
Wasowski 1980   48  0.3881  0.0051  0.0465  0.0460  0.0577  0.04
Zak 1937   40  0.4049  0.0040  0.0839  0.2123  0.3837  0.28
Zak 1951   43  0.3979  0.0048  0.0648  0.0631  0.2153  0.11
Random 1   88  -0.0176  0.0089  0.0289  0.0262  0.0390  0.02
Random 2   90  -0.0389  0.0090  0.0190  0.0177  0.0389  0.02
Random 3   89  -0.0182  0.0088  0.0288  0.0234  0.1969  0.06

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).