Random 1

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   81  -0.1644  0.0083  0.0283  0.0290  0.0188  0.01
Anderszewski 2003   64  -0.0853  0.0061  0.0371  0.0390  0.0165  0.02
Ashkenazy 1981   18  0.0249  0.0036  0.0542  0.1490  0.0141  0.04
Bacha 2000   20  0.0154  0.0028  0.0644  0.1089  0.0233  0.04
Badura 1965   57  -0.0646  0.0039  0.0532  0.1890  0.0138  0.04
Barbosa 1983   30  -0.0131  0.0031  0.0522  0.2885  0.0223  0.07
Biret 1990   46  -0.0430  0.0065  0.0363  0.0390  0.0177  0.02
Blet 2003   59  -0.0747  0.0051  0.0458  0.0490  0.0166  0.02
Block 1995   44  -0.0471  0.0029  0.0639  0.1689  0.0139  0.04
Blumental 1952   25  0.0022  0.018  0.0930  0.1990  0.0140  0.04
Boshniakovich 1969   14  0.0364  0.0027  0.0626  0.2389  0.0131  0.05
Brailowsky 1960   40  -0.0362  0.0032  0.0635  0.1787  0.0224  0.06
Bunin 1987   50  -0.0560  0.0056  0.0373  0.0389  0.0175  0.02
Bunin 1987b   51  -0.0565  0.0057  0.0452  0.0489  0.0160  0.02
Chiu 1999   7  0.0640  0.0026  0.0623  0.2790  0.0130  0.05
Cohen 1997   13  0.0313  0.0113  0.1015  0.3683  0.0221  0.08
Cortot 1951   33  -0.026  0.0319  0.0736  0.1787  0.0229  0.06
Csalog 1996   29  -0.018  0.0323  0.0624  0.2779  0.0315  0.09
Czerny 1949   89  -0.2572  0.0090  0.0190  0.0190  0.0187  0.01
Czerny 1990   82  -0.1677  0.0085  0.0282  0.0290  0.0190  0.01
Duchoud 2007   15  0.027  0.0316  0.0816  0.3590  0.0127  0.06
Ezaki 2006   75  -0.1236  0.0078  0.0362  0.0390  0.0150  0.02
Falvay 1989   71  -0.1180  0.0071  0.0364  0.0389  0.0256  0.02
Farrell 1958   35  -0.0250  0.0052  0.0368  0.0390  0.0159  0.02
Ferenczy 1958   87  -0.2151  0.0086  0.0284  0.0290  0.0186  0.01
Fliere 1977   36  -0.0273  0.0043  0.0641  0.1589  0.0134  0.04
Fou 1978   23  0.0038  0.0030  0.0514  0.3780  0.038  0.11
Francois 1956   85  -0.1758  0.0079  0.0378  0.0390  0.0180  0.02
Friedman 1923   4  0.0923  0.013  0.1410  0.4265  0.054  0.14
Friedman 1923b   3  0.092  0.122  0.158  0.4249  0.062  0.16
Friedman 1930   83  -0.1619  0.0176  0.0377  0.0390  0.0169  0.02
Garcia 2007   16  0.0278  0.0015  0.0819  0.3286  0.0128  0.06
Garcia 2007b   1  0.1414  0.015  0.093  0.5175  0.037  0.12
Gierzod 1998   70  -0.1055  0.0081  0.0285  0.0290  0.0189  0.01
Gornostaeva 1994   45  -0.0484  0.0063  0.0451  0.0490  0.0176  0.02
Groot 1988   67  -0.105  0.0434  0.0534  0.1788  0.0142  0.04
Harasiewicz 1955   72  -0.1174  0.0070  0.0459  0.0490  0.0179  0.02
Hatto 1993   22  0.0076  0.0041  0.0533  0.1890  0.0143  0.04
Hatto 1997   49  -0.0585  0.0059  0.0369  0.0390  0.0170  0.02
Horowitz 1949   73  -0.1170  0.0069  0.0454  0.0490  0.0163  0.02
Indjic 1988   26  0.0088  0.0044  0.0838  0.1690  0.0137  0.04
Kapell 1951   90  -0.2689  0.0089  0.0189  0.0190  0.0184  0.01
Kissin 1993   48  -0.0466  0.0035  0.0629  0.1985  0.0226  0.06
Kushner 1989   11  0.0437  0.0024  0.0618  0.3289  0.0218  0.08
Luisada 1991   39  -0.0367  0.0064  0.0374  0.0390  0.0151  0.02
Lushtak 2004   69  -0.1079  0.0074  0.0366  0.0390  0.0172  0.02
Malcuzynski 1961   63  -0.0886  0.0067  0.0365  0.0390  0.0161  0.02
Magaloff 1978   47  -0.0459  0.0055  0.0376  0.0390  0.0154  0.02
Magin 1975   5  0.0729  0.006  0.102  0.5388  0.0213  0.10
Michalowski 1933   52  -0.0532  0.0046  0.0646  0.0688  0.0247  0.03
Milkina 1970   37  -0.0341  0.0022  0.0613  0.3987  0.0214  0.09
Mohovich 1999   80  -0.1487  0.0084  0.0380  0.0390  0.0174  0.02
Moravec 1969   88  -0.2269  0.0087  0.0287  0.0290  0.0181  0.01
Morozova 2008   56  -0.0661  0.0058  0.0460  0.0490  0.0168  0.02
Neighaus 1950   43  -0.0442  0.0047  0.0548  0.0589  0.0178  0.02
Niedzielski 1931   32  -0.0117  0.0120  0.0631  0.1889  0.0135  0.04
Ohlsson 1999   34  -0.0256  0.0042  0.0640  0.1690  0.0136  0.04
Osinska 1989   86  -0.1981  0.0088  0.0288  0.0290  0.0182  0.01
Pachmann 1927   21  0.0010  0.0317  0.076  0.4374  0.039  0.11
Paderewski 1930   77  -0.1457  0.0075  0.0453  0.0490  0.0164  0.02
Perlemuter 1992   41  -0.0328  0.0049  0.0547  0.0589  0.0244  0.03
Pierdomenico 2008   38  -0.0325  0.0054  0.0455  0.0489  0.0158  0.02
Poblocka 1999   74  -0.1145  0.0077  0.0379  0.0390  0.0153  0.02
Rabcewiczowa 1932   84  -0.1727  0.0082  0.0286  0.0290  0.0183  0.01
Rachmaninoff 1923   78  -0.1415  0.0168  0.0457  0.0489  0.0155  0.02
Rangell 2001   28  -0.0112  0.0345  0.0845  0.0890  0.0149  0.03
Richter 1976   65  -0.0933  0.0038  0.0628  0.2086  0.0225  0.06
Rosen 1989   54  -0.0539  0.0066  0.0372  0.0390  0.0173  0.02
Rosenthal 1930   58  -0.0663  0.0060  0.0370  0.0390  0.0171  0.02
Rosenthal 1931   9  0.0411  0.0310  0.087  0.4264  0.0310  0.11
Rosenthal 1931b   8  0.069  0.0311  0.139  0.4266  0.0311  0.11
Rosenthal 1931c   31  -0.0175  0.0033  0.0725  0.2390  0.0132  0.05
Rosenthal 1931d   12  0.0318  0.0112  0.1212  0.3964  0.046  0.12
Rossi 2007   6  0.063  0.114  0.134  0.5067  0.035  0.12
Rubinstein 1939   42  -0.0416  0.0118  0.0727  0.2252  0.0512  0.10
Rubinstein 1952   61  -0.0848  0.0037  0.0537  0.1666  0.0422  0.08
Rubinstein 1966   66  -0.1020  0.0150  0.0550  0.0588  0.0248  0.03
Schilhawsky 1960   55  -0.0682  0.0062  0.0461  0.0490  0.0167  0.02
Shebanova 2002   10  0.0443  0.0021  0.065  0.4388  0.0216  0.09
Smith 1975   68  -0.1052  0.0073  0.0375  0.0390  0.0157  0.02
Sokolov 2002   24  0.0024  0.0025  0.0617  0.3588  0.0217  0.08
Sztompka 1959   79  -0.1468  0.0080  0.0281  0.0290  0.0185  0.01
Tomsic 1995   62  -0.0834  0.0040  0.0643  0.1289  0.0146  0.03
Uninsky 1932   27  0.0021  0.019  0.1121  0.3087  0.0220  0.08
Uninsky 1971   19  0.0226  0.0014  0.0720  0.3188  0.0219  0.08
Wasowski 1980   76  -0.1390  0.0072  0.0367  0.0390  0.0152  0.02
Zak 1937   53  -0.0535  0.0048  0.0549  0.0589  0.0245  0.03
Zak 1951   60  -0.0783  0.0053  0.0456  0.0488  0.0162  0.02
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   2  0.101  0.281  0.281  0.621  0.561  0.59
Random 3   17  0.024  0.067  0.0911  0.4045  0.063  0.15

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).