Fou 1978

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   12  0.738  0.0125  0.2124  0.4826  0.3324  0.40
Ax 1995   7  0.7423  0.006  0.104  0.6815  0.519  0.59
Bacha 1998   42  0.6354  0.0049  0.0555  0.0524  0.3343  0.13
Barbosa 1983   8  0.7410  0.0120  0.1211  0.584  0.636  0.60
BenOr 1989   38  0.6658  0.0038  0.1134  0.1129  0.3135  0.18
Biret 1990   37  0.6611  0.0131  0.0831  0.1726  0.4627  0.28
Brailowsky 1960   47  0.6114  0.0050  0.0554  0.0537  0.0952  0.07
Chiu 1999   28  0.6916  0.0033  0.0633  0.1210  0.5330  0.25
Clidat 1994   31  0.6729  0.0027  0.0927  0.2828  0.2729  0.27
Cohen 1997   63  0.4556  0.0063  0.0463  0.0454  0.0566  0.04
Cortot 1951   62  0.4536  0.0064  0.0652  0.0635  0.0761  0.06
Csalog 1996   45  0.6262  0.0053  0.0560  0.0536  0.0757  0.06
Czerny 1989   25  0.709  0.0113  0.1116  0.577  0.5910  0.58
Ezaki 2006   20  0.717  0.0126  0.1126  0.2929  0.2528  0.27
Falvay 1989   17  0.7252  0.0021  0.1621  0.5129  0.2525  0.36
Fiorentino 1962   15  0.7239  0.0022  0.1722  0.5122  0.4719  0.49
Fliere 1977   27  0.6933  0.0029  0.1029  0.2343  0.0741  0.13
Fou 1978   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Francois 1956   46  0.6248  0.0045  0.0559  0.0526  0.2546  0.11
Goldenweiser 1946   64  0.4053  0.0062  0.0561  0.0534  0.0951  0.07
Gornostaeva 1994   49  0.6163  0.0052  0.0746  0.0718  0.3637  0.16
Groot 1988   36  0.6645  0.0030  0.0930  0.1918  0.3331  0.25
Hatto 1993   26  0.7013  0.0012  0.1818  0.5622  0.4022  0.47
Hatto 1997   23  0.706  0.018  0.1017  0.5619  0.4417  0.50
Horszowski 1983   60  0.4767  0.0060  0.0464  0.0452  0.0565  0.04
Indjic 2001   24  0.7030  0.0011  0.1015  0.5723  0.4021  0.48
Katin 1996   11  0.7424  0.004  0.118  0.6314  0.645  0.63
Kiepura 1999   9  0.745  0.0110  0.0920  0.532  0.754  0.63
Korecka 1992   56  0.5632  0.0058  0.0838  0.0819  0.4234  0.18
Kushner 1990   43  0.6360  0.0048  0.0744  0.0741  0.0853  0.07
Lilamand 2001   59  0.5364  0.0059  0.0742  0.0728  0.2045  0.12
Luisada 1990   52  0.5927  0.0051  0.0648  0.0633  0.1648  0.10
Luisada 2008   41  0.6343  0.0041  0.0741  0.0724  0.4136  0.17
Lushtak 2004   33  0.6721  0.0035  0.1035  0.1043  0.0850  0.09
Malcuzynski 1951   6  0.754  0.017  0.113  0.7014  0.527  0.60
Malcuzynski 1961   13  0.7319  0.0016  0.097  0.6623  0.3618  0.49
Magaloff 1977   35  0.6625  0.0028  0.1028  0.273  0.7023  0.43
Magin 1975   40  0.6440  0.0039  0.0743  0.0746  0.0655  0.06
Meguri 1997   48  0.6141  0.0044  0.0556  0.0519  0.2844  0.12
Milkina 1970   22  0.7138  0.0015  0.0910  0.5924  0.5114  0.55
Mohovich 1999   53  0.5846  0.0043  0.0650  0.0642  0.0760  0.06
Nezu 2005   3  0.7737  0.003  0.185  0.6814  0.623  0.65
Ohlsson 1999   29  0.6955  0.0034  0.0839  0.0827  0.2938  0.15
Olejniczak 1990   39  0.6428  0.0032  0.0732  0.1526  0.2833  0.20
Osinska 1989   21  0.7142  0.0024  0.1325  0.4230  0.1926  0.28
Perlemuter 1992   61  0.4559  0.0061  0.0462  0.0434  0.0762  0.05
Poblocka 1999   10  0.7431  0.0017  0.1014  0.5816  0.5712  0.57
Rangell 2001   32  0.6726  0.0040  0.0840  0.0830  0.2839  0.15
Richter 1960   58  0.5447  0.0056  0.0558  0.0538  0.0758  0.06
Richter 1961   55  0.5757  0.0046  0.0653  0.0626  0.2742  0.13
Rosen 1989   50  0.6035  0.0042  0.0649  0.0639  0.0759  0.06
Rubinstein 1939   18  0.7215  0.009  0.1012  0.5813  0.5116  0.54
Rubinstein 1952   19  0.7112  0.0123  0.1123  0.5013  0.4920  0.49
Rubinstein 1966   5  0.7522  0.005  0.116  0.689  0.622  0.65
Rudanovskaya 2007   57  0.5550  0.0057  0.0745  0.0725  0.3040  0.14
Shebanova 2002   16  0.7218  0.0019  0.1213  0.5810  0.5811  0.58
Smith 1975   51  0.5934  0.0054  0.0747  0.0762  0.0554  0.06
Sztompka 1959   54  0.5720  0.0055  0.0651  0.0643  0.0656  0.06
Tanyel 1992   44  0.6251  0.0047  0.0557  0.0547  0.0664  0.05
Tsujii 2005   2  0.782  0.022  0.172  0.7125  0.4315  0.55
Uninsky 1959   34  0.6661  0.0036  0.1036  0.1036  0.1047  0.10
Vardi 1988   14  0.7317  0.0014  0.1019  0.557  0.5713  0.56
Wasowski 1980   30  0.6744  0.0037  0.0937  0.0914  0.5732  0.23
Zimerman 1975   4  0.753  0.0218  0.119  0.608  0.598  0.59
Average   1  0.831  0.811  0.791  0.9220  0.501  0.68
Random 1   65  -0.0265  0.0065  0.0265  0.0210  0.4649  0.10
Random 2   66  -0.0249  0.0066  0.0266  0.0230  0.1463  0.05
Random 3   67  -0.0866  0.0067  0.0167  0.0160  0.0367  0.02

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).