Falvay 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.7411  0.0221  0.1020  0.3125  0.2726  0.29
Anderszewski 2003   74  0.4168  0.0069  0.0471  0.0452  0.0471  0.04
Ashkenazy 1981   53  0.5824  0.0036  0.0640  0.1238  0.1345  0.12
Bacha 2000   35  0.6616  0.0135  0.0634  0.163  0.5522  0.30
Badura 1965   70  0.4930  0.0056  0.0456  0.0458  0.0473  0.04
Barbosa 1983   50  0.5976  0.0054  0.0461  0.0441  0.1953  0.09
Biret 1990   43  0.6213  0.0231  0.0530  0.1919  0.3032  0.24
Blet 2003   36  0.6438  0.0048  0.0457  0.0458  0.0472  0.04
Block 1995   42  0.6277  0.0055  0.0459  0.0431  0.2254  0.09
Blumental 1952   79  0.3439  0.0080  0.0384  0.0371  0.0382  0.03
Boshniakovich 1969   39  0.6322  0.0147  0.0470  0.0432  0.1955  0.09
Brailowsky 1960   10  0.7628  0.0016  0.0814  0.381  0.5611  0.46
Bunin 1987   57  0.5765  0.0071  0.0375  0.0359  0.0484  0.03
Bunin 1987b   58  0.5757  0.0072  0.0548  0.0558  0.0468  0.04
Chiu 1999   37  0.6433  0.0024  0.0827  0.239  0.4917  0.34
Cohen 1997   73  0.4721  0.0159  0.0462  0.045  0.4941  0.14
Cortot 1951   71  0.4847  0.0081  0.0386  0.0364  0.0485  0.03
Csalog 1996   38  0.6323  0.0146  0.0554  0.055  0.5439  0.16
Czerny 1949   45  0.6120  0.0139  0.0542  0.0954  0.0659  0.07
Czerny 1990   24  0.7080  0.0030  0.0736  0.1555  0.0458  0.08
Duchoud 2007   64  0.5249  0.0070  0.0455  0.0470  0.0380  0.03
Ezaki 2006   17  0.7418  0.0127  0.1119  0.3124  0.2724  0.29
Falvay 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Farrell 1958   47  0.6134  0.0065  0.0645  0.0615  0.2742  0.13
Ferenczy 1958   60  0.5536  0.0076  0.0466  0.0443  0.0961  0.06
Fliere 1977   13  0.7579  0.0015  0.1213  0.3917  0.3216  0.35
Fou 1978   4  0.8117  0.016  0.124  0.613  0.575  0.59
Francois 1956   14  0.7510  0.0311  0.1210  0.426  0.5210  0.47
Friedman 1923   89  -0.1586  0.0090  0.0190  0.0182  0.0390  0.02
Friedman 1923b   88  -0.1487  0.0089  0.0287  0.0286  0.0289  0.02
Friedman 1930   84  0.1383  0.0084  0.0376  0.0377  0.0378  0.03
Garcia 2007   82  0.2745  0.0083  0.0377  0.0352  0.0481  0.03
Garcia 2007b   85  0.0869  0.0085  0.0465  0.0479  0.0386  0.03
Gierzod 1998   33  0.664  0.109  0.1022  0.3014  0.3221  0.31
Gornostaeva 1994   27  0.6861  0.0038  0.0533  0.1636  0.1838  0.17
Groot 1988   2  0.843  0.123  0.143  0.611  0.643  0.62
Harasiewicz 1955   48  0.6031  0.0026  0.0826  0.2526  0.2827  0.26
Hatto 1993   81  0.2884  0.0053  0.0378  0.0345  0.0574  0.04
Hatto 1997   76  0.3732  0.0037  0.0641  0.1140  0.1049  0.10
Horowitz 1949   31  0.6719  0.018  0.1215  0.356  0.4815  0.41
Indjic 1988   80  0.3244  0.0043  0.0443  0.0742  0.0957  0.08
Kapell 1951   49  0.5935  0.0066  0.0549  0.0547  0.0664  0.05
Kissin 1993   1  0.841  0.171  0.176  0.545  0.576  0.55
Kushner 1989   21  0.7141  0.0041  0.0537  0.1434  0.2236  0.18
Luisada 1991   40  0.6256  0.0032  0.0629  0.1924  0.3030  0.24
Lushtak 2004   29  0.6858  0.0028  0.0725  0.2624  0.2528  0.25
Malcuzynski 1961   15  0.7453  0.0023  0.1018  0.3120  0.3023  0.30
Magaloff 1978   12  0.759  0.0310  0.118  0.473  0.489  0.47
Magin 1975   61  0.5346  0.0050  0.0374  0.0345  0.0763  0.05
Michalowski 1933   83  0.1440  0.0078  0.0380  0.0377  0.0377  0.03
Milkina 1970   7  0.795  0.075  0.171  0.671  0.661  0.66
Mohovich 1999   6  0.8174  0.0012  0.1111  0.4210  0.4613  0.44
Moravec 1969   26  0.6950  0.0040  0.0438  0.1310  0.4629  0.24
Morozova 2008   41  0.6227  0.0034  0.0632  0.1619  0.2037  0.18
Neighaus 1950   20  0.7159  0.0022  0.0717  0.3323  0.3320  0.33
Niedzielski 1931   72  0.4829  0.0058  0.0469  0.0411  0.3644  0.12
Ohlsson 1999   44  0.6152  0.0033  0.0631  0.1717  0.3233  0.23
Osinska 1989   22  0.7170  0.0029  0.0635  0.1526  0.2534  0.19
Pachmann 1927   32  0.6662  0.0025  0.0828  0.218  0.5219  0.33
Paderewski 1930   59  0.5588  0.0067  0.0464  0.0480  0.0276  0.03
Perlemuter 1992   18  0.7354  0.0020  0.0723  0.2822  0.3125  0.29
Pierdomenico 2008   23  0.7026  0.0014  0.0812  0.391  0.5512  0.46
Poblocka 1999   28  0.6814  0.0242  0.0539  0.1327  0.2535  0.18
Rabcewiczowa 1932   65  0.5151  0.0073  0.0467  0.0456  0.0467  0.04
Rachmaninoff 1923   68  0.5071  0.0057  0.0463  0.0441  0.1060  0.06
Rangell 2001   54  0.5866  0.0051  0.0553  0.0537  0.1656  0.09
Richter 1976   19  0.726  0.0417  0.0724  0.279  0.4018  0.33
Rosen 1989   30  0.6748  0.0044  0.0444  0.0732  0.2643  0.13
Rosenthal 1930   63  0.5242  0.0068  0.0381  0.0342  0.1066  0.05
Rosenthal 1931   62  0.5363  0.0060  0.0372  0.0327  0.3248  0.10
Rosenthal 1931b   66  0.5172  0.0061  0.0547  0.0528  0.2251  0.10
Rosenthal 1931c   52  0.5975  0.0062  0.0551  0.0526  0.2447  0.11
Rosenthal 1931d   51  0.5981  0.0052  0.0373  0.0316  0.3550  0.10
Rossi 2007   78  0.3582  0.0075  0.0385  0.0353  0.0375  0.03
Rubinstein 1939   77  0.3637  0.0074  0.0379  0.0322  0.3746  0.11
Rubinstein 1952   8  0.7912  0.0213  0.159  0.433  0.638  0.52
Rubinstein 1966   34  0.6655  0.0045  0.0546  0.0520  0.4340  0.15
Schilhawsky 1960   56  0.5764  0.0064  0.0550  0.0555  0.0565  0.05
Shebanova 2002   11  0.7567  0.0019  0.0716  0.347  0.5114  0.42
Smith 1975   25  0.707  0.0318  0.0721  0.3133  0.1931  0.24
Sokolov 2002   46  0.6173  0.0063  0.0552  0.0547  0.0662  0.05
Sztompka 1959   67  0.5089  0.0077  0.0460  0.0455  0.0569  0.04
Tomsic 1995   3  0.8315  0.017  0.187  0.494  0.557  0.52
Uninsky 1932   75  0.3978  0.0082  0.0468  0.0474  0.0379  0.03
Uninsky 1971   69  0.4943  0.0079  0.0383  0.0353  0.0570  0.04
Wasowski 1980   55  0.5825  0.0049  0.0458  0.0424  0.2252  0.09
Zak 1937   9  0.798  0.034  0.145  0.603  0.604  0.60
Zak 1951   5  0.812  0.132  0.172  0.632  0.622  0.62
Random 1   87  -0.1185  0.0088  0.0289  0.0264  0.0388  0.02
Random 2   90  -0.1960  0.0087  0.0288  0.0283  0.0287  0.02
Random 3   86  -0.0290  0.0086  0.0382  0.0372  0.0383  0.03

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).