Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.6720  0.0015  0.1117  0.4730  0.3822  0.42
Anderszewski 2003   20  0.6454  0.0026  0.0622  0.4116  0.4918  0.45
Ashkenazy 1981   13  0.6612  0.0121  0.0924  0.3710  0.5021  0.43
Bacha 2000   47  0.5779  0.0054  0.0560  0.0512  0.4249  0.14
Badura 1965   42  0.5816  0.0053  0.0557  0.0530  0.3556  0.13
Barbosa 1983   57  0.5528  0.0041  0.0643  0.1430  0.4039  0.24
Biret 1990   5  0.686  0.018  0.134  0.618  0.575  0.59
Blet 2003   38  0.5844  0.0045  0.0645  0.114  0.5636  0.25
Block 1995   49  0.5637  0.0035  0.0829  0.276  0.6024  0.40
Blumental 1952   14  0.6617  0.0011  0.1216  0.4810  0.4616  0.47
Boshniakovich 1969   31  0.6149  0.0027  0.0630  0.2735  0.2834  0.27
Brailowsky 1960   55  0.5541  0.0064  0.0469  0.0424  0.4152  0.13
Bunin 1987   87  0.3480  0.0087  0.0388  0.0363  0.0490  0.03
Bunin 1987b   88  0.3488  0.0088  0.0476  0.0458  0.0484  0.04
Chiu 1999   50  0.5623  0.0061  0.0551  0.0533  0.1775  0.09
Cohen 1997   65  0.5156  0.0070  0.0383  0.039  0.4560  0.12
Cortot 1951   73  0.4958  0.0068  0.0481  0.0425  0.4258  0.13
Csalog 1996   64  0.5124  0.0056  0.0648  0.0618  0.4145  0.16
Czerny 1949   59  0.5471  0.0055  0.0563  0.0547  0.0779  0.06
Czerny 1990   21  0.6327  0.0022  0.1020  0.4432  0.3425  0.39
Duchoud 2007   72  0.4972  0.0073  0.0470  0.0422  0.3169  0.11
Ezaki 2006   10  0.6718  0.0025  0.1125  0.3523  0.4026  0.37
Falvay 1989   24  0.6350  0.0037  0.0644  0.1118  0.4840  0.23
Farrell 1958   43  0.5881  0.0034  0.0826  0.3314  0.5123  0.41
Ferenczy 1958   61  0.5330  0.0067  0.0473  0.0433  0.3168  0.11
Fliere 1977   4  0.6822  0.006  0.132  0.6423  0.3515  0.47
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   54  0.5552  0.0057  0.0649  0.0619  0.4942  0.17
Friedman 1923   71  0.5082  0.0076  0.0468  0.0456  0.0588  0.04
Friedman 1923b   70  0.5059  0.0074  0.0562  0.0561  0.0583  0.05
Friedman 1930   81  0.4585  0.0082  0.0478  0.0476  0.0487  0.04
Garcia 2007   46  0.5747  0.0052  0.0561  0.0516  0.5046  0.16
Garcia 2007b   36  0.5876  0.0029  0.0631  0.2520  0.4829  0.35
Gierzod 1998   15  0.655  0.0112  0.129  0.5533  0.3720  0.45
Gornostaeva 1994   44  0.5857  0.0046  0.0552  0.0519  0.4348  0.15
Groot 1988   51  0.5648  0.0038  0.0636  0.1919  0.3535  0.26
Harasiewicz 1955   3  0.704  0.023  0.228  0.5723  0.528  0.54
Hatto 1993   45  0.5789  0.0044  0.0842  0.1645  0.1057  0.13
Hatto 1997   37  0.5864  0.0042  0.0639  0.1742  0.1347  0.15
Horowitz 1949   67  0.5042  0.0071  0.0480  0.0437  0.3266  0.11
Indjic 1988   40  0.5862  0.0043  0.0641  0.1645  0.1154  0.13
Kapell 1951   25  0.627  0.0110  0.1510  0.5415  0.4314  0.48
Kissin 1993   8  0.6713  0.015  0.1513  0.5122  0.5012  0.50
Kushner 1989   9  0.6739  0.007  0.115  0.6115  0.583  0.59
Luisada 1991   16  0.6560  0.0032  0.0634  0.2430  0.3031  0.27
Lushtak 2004   39  0.5890  0.0040  0.0537  0.1927  0.3437  0.25
Malcuzynski 1961   74  0.4973  0.0069  0.0477  0.0462  0.0485  0.04
Magaloff 1978   58  0.5434  0.0060  0.0558  0.0536  0.1970  0.10
Magin 1975   27  0.6138  0.0023  0.1023  0.3827  0.3527  0.36
Michalowski 1933   79  0.4686  0.0077  0.0472  0.0452  0.0782  0.05
Milkina 1970   2  0.712  0.132  0.213  0.6211  0.602  0.61
Mohovich 1999   18  0.6440  0.0013  0.1311  0.5314  0.626  0.57
Moravec 1969   69  0.5035  0.0078  0.0474  0.0439  0.1974  0.09
Morozova 2008   22  0.639  0.0119  0.1021  0.4212  0.4819  0.45
Neighaus 1950   63  0.5283  0.0058  0.0646  0.0636  0.1872  0.10
Niedzielski 1931   86  0.4268  0.0079  0.0384  0.0380  0.0389  0.03
Ohlsson 1999   53  0.5653  0.0049  0.0550  0.0554  0.0581  0.05
Osinska 1989   6  0.6831  0.009  0.146  0.6024  0.507  0.55
Pachmann 1927   77  0.4746  0.0081  0.0385  0.0318  0.4267  0.11
Paderewski 1930   75  0.4874  0.0062  0.0554  0.059  0.5444  0.16
Perlemuter 1992   29  0.6143  0.0050  0.0553  0.0514  0.4943  0.16
Pierdomenico 2008   76  0.4891  0.0066  0.0382  0.0327  0.3765  0.11
Poblocka 1999   30  0.6111  0.0120  0.1018  0.4520  0.4717  0.46
Rabcewiczowa 1932   28  0.6121  0.0016  0.1112  0.527  0.5310  0.52
Rachmaninoff 1923   32  0.6026  0.0024  0.1028  0.2826  0.3030  0.29
Rangell 2001   78  0.4655  0.0065  0.0466  0.0426  0.3861  0.12
Richter 1976   66  0.5033  0.0075  0.0467  0.0441  0.2276  0.09
Rosen 1989   11  0.678  0.0114  0.1114  0.5012  0.5211  0.51
Rosenthal 1930   80  0.4645  0.0080  0.0387  0.0327  0.3571  0.10
Rosenthal 1931   82  0.4414  0.0183  0.0479  0.0422  0.4055  0.13
Rosenthal 1931b   84  0.4269  0.0086  0.0559  0.0525  0.3163  0.12
Rosenthal 1931c   85  0.4229  0.0085  0.0471  0.0434  0.2673  0.10
Rosenthal 1931d   83  0.4351  0.0084  0.0386  0.0320  0.4762  0.12
Rossi 2007   56  0.5510  0.0163  0.0556  0.0516  0.4150  0.14
Rubinstein 1939   34  0.5915  0.0136  0.0932  0.248  0.5028  0.35
Rubinstein 1952   26  0.6219  0.0018  0.1015  0.498  0.609  0.54
Rubinstein 1966   19  0.6432  0.0017  0.1119  0.4514  0.5313  0.49
Schilhawsky 1960   68  0.5063  0.0072  0.0475  0.0465  0.0486  0.04
Shebanova 2002   48  0.5784  0.0039  0.0640  0.1756  0.0577  0.09
Smith 1975   41  0.5825  0.0051  0.0564  0.0527  0.2959  0.12
Sokolov 2002   52  0.5661  0.0048  0.0555  0.0522  0.3353  0.13
Sztompka 1959   7  0.683  0.044  0.167  0.6013  0.584  0.59
Tomsic 1995   62  0.5277  0.0059  0.0465  0.0415  0.5251  0.14
Uninsky 1932   35  0.5965  0.0033  0.0638  0.1827  0.4233  0.27
Uninsky 1971   60  0.5466  0.0030  0.0735  0.2234  0.2638  0.24
Wasowski 1980   33  0.6036  0.0047  0.0647  0.0638  0.2264  0.11
Zak 1937   17  0.6478  0.0028  0.0727  0.3235  0.2332  0.27
Zak 1951   23  0.6370  0.0031  0.0733  0.2440  0.1341  0.18
Average   1  0.791  0.621  0.611  0.8521  0.481  0.64
Random 1   90  -0.0775  0.0090  0.0290  0.0230  0.1880  0.06
Random 2   91  -0.0787  0.0091  0.0191  0.0172  0.0391  0.02
Random 3   89  -0.0367  0.0089  0.0289  0.0210  0.3678  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).