Random 2

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   69  -0.1587  0.0077  0.0281  0.0287  0.0270  0.02
Anderszewski 2003   48  -0.0973  0.0067  0.0272  0.0289  0.0266  0.02
Ashkenazy 1981   29  -0.0488  0.0030  0.0536  0.1589  0.0140  0.04
Bacha 2000   53  -0.0956  0.0017  0.0637  0.1583  0.0230  0.05
Badura 1965   5  0.062  0.123  0.132  0.4984  0.0211  0.10
Barbosa 1983   42  -0.0632  0.0036  0.0529  0.1884  0.0228  0.06
Biret 1990   47  -0.0857  0.0043  0.0543  0.1089  0.0241  0.04
Blet 2003   74  -0.1625  0.0053  0.0353  0.0389  0.0167  0.02
Block 1995   60  -0.1170  0.0073  0.0355  0.0390  0.0172  0.02
Blumental 1952   20  0.0012  0.0211  0.0922  0.2672  0.0317  0.09
Boshniakovich 1969   49  -0.0958  0.0040  0.0535  0.1688  0.0139  0.04
Brailowsky 1960   71  -0.1611  0.0251  0.0352  0.0386  0.0253  0.02
Bunin 1987   65  -0.1371  0.0052  0.0451  0.0488  0.0250  0.03
Bunin 1987b   63  -0.1323  0.0150  0.0450  0.0488  0.0245  0.03
Chiu 1999   58  -0.1121  0.0135  0.0533  0.1789  0.0137  0.04
Cohen 1997   17  0.0019  0.0115  0.0813  0.3288  0.0221  0.08
Cortot 1951   31  -0.0436  0.0038  0.0528  0.1983  0.0229  0.06
Csalog 1996   13  0.0261  0.0013  0.1316  0.3175  0.039  0.10
Czerny 1949   39  -0.0628  0.0058  0.0367  0.0388  0.0269  0.02
Czerny 1990   43  -0.0868  0.0057  0.0365  0.0389  0.0276  0.02
Duchoud 2007   22  0.0014  0.0218  0.0619  0.2989  0.0133  0.05
Ezaki 2006   76  -0.1717  0.0179  0.0284  0.0289  0.0251  0.02
Falvay 1989   81  -0.1949  0.0088  0.0283  0.0288  0.0255  0.02
Farrell 1958   64  -0.1346  0.0063  0.0270  0.0289  0.0184  0.01
Ferenczy 1958   78  -0.1733  0.0065  0.0361  0.0389  0.0268  0.02
Fliere 1977   38  -0.0554  0.0042  0.0639  0.1388  0.0136  0.04
Fou 1978   82  -0.2081  0.0074  0.0363  0.0388  0.0257  0.02
Francois 1956   45  -0.0848  0.0062  0.0275  0.0287  0.0277  0.02
Friedman 1923   21  0.0020  0.0120  0.0515  0.3246  0.073  0.15
Friedman 1923b   16  0.0045  0.0021  0.0814  0.3246  0.072  0.15
Friedman 1930   1  0.116  0.049  0.105  0.4675  0.044  0.14
Garcia 2007   85  -0.2059  0.0080  0.0280  0.0289  0.0187  0.01
Garcia 2007b   89  -0.2440  0.0075  0.0268  0.0286  0.0278  0.02
Gierzod 1998   36  -0.0555  0.0047  0.0447  0.0489  0.0249  0.03
Gornostaeva 1994   54  -0.1064  0.0072  0.0364  0.0389  0.0175  0.02
Groot 1988   55  -0.1074  0.0071  0.0271  0.0289  0.0188  0.01
Harasiewicz 1955   79  -0.1884  0.0084  0.0282  0.0289  0.0190  0.01
Hatto 1993   4  0.068  0.045  0.104  0.4884  0.0213  0.10
Hatto 1997   11  0.0224  0.017  0.096  0.4681  0.0210  0.10
Horowitz 1949   28  -0.0369  0.0031  0.0540  0.1288  0.0231  0.05
Indjic 1988   8  0.0513  0.026  0.123  0.4887  0.028  0.10
Kapell 1951   52  -0.0915  0.0254  0.0356  0.0385  0.0258  0.02
Kissin 1993   62  -0.1285  0.0055  0.0357  0.0387  0.0265  0.02
Kushner 1989   68  -0.1472  0.0069  0.0277  0.0290  0.0185  0.01
Luisada 1991   84  -0.2031  0.0076  0.0279  0.0289  0.0179  0.01
Lushtak 2004   87  -0.2186  0.0082  0.0366  0.0389  0.0171  0.02
Malcuzynski 1961   51  -0.0960  0.0059  0.0358  0.0389  0.0160  0.02
Magaloff 1978   23  0.0078  0.0028  0.0532  0.1788  0.0225  0.06
Magin 1975   50  -0.0922  0.0127  0.0534  0.1790  0.0138  0.04
Michalowski 1933   9  0.049  0.0326  0.0431  0.1887  0.0227  0.06
Milkina 1970   32  -0.0437  0.0045  0.0448  0.0485  0.0244  0.03
Mohovich 1999   88  -0.2266  0.0089  0.0289  0.0289  0.0274  0.02
Moravec 1969   7  0.0516  0.0112  0.109  0.3985  0.0214  0.09
Morozova 2008   73  -0.1618  0.0144  0.0544  0.1089  0.0148  0.03
Neighaus 1950   70  -0.1582  0.0087  0.0287  0.0290  0.0189  0.01
Niedzielski 1931   6  0.063  0.112  0.1623  0.2683  0.0222  0.07
Ohlsson 1999   44  -0.0889  0.0064  0.0354  0.0389  0.0164  0.02
Osinska 1989   15  0.0047  0.0023  0.0618  0.3086  0.0219  0.08
Pachmann 1927   66  -0.1343  0.0046  0.0446  0.0483  0.0346  0.03
Paderewski 1930   3  0.094  0.084  0.097  0.4588  0.0215  0.09
Perlemuter 1992   90  -0.2979  0.0090  0.0190  0.0190  0.0180  0.01
Pierdomenico 2008   67  -0.1383  0.0085  0.0285  0.0290  0.0183  0.01
Poblocka 1999   41  -0.0629  0.0048  0.0545  0.0589  0.0243  0.03
Rabcewiczowa 1932   14  0.007  0.0425  0.0427  0.2086  0.0226  0.06
Rachmaninoff 1923   61  -0.1150  0.0061  0.0359  0.0387  0.0154  0.02
Rangell 2001   12  0.0226  0.0014  0.1010  0.3773  0.036  0.11
Richter 1976   77  -0.1765  0.0086  0.0286  0.0287  0.0262  0.02
Rosen 1989   56  -0.1090  0.0056  0.0362  0.0389  0.0273  0.02
Rosenthal 1930   10  0.0262  0.0022  0.0621  0.2886  0.0134  0.05
Rosenthal 1931   46  -0.0863  0.0041  0.0541  0.1288  0.0147  0.03
Rosenthal 1931b   27  -0.0244  0.0019  0.0617  0.3087  0.0135  0.05
Rosenthal 1931c   24  0.0053  0.0029  0.0530  0.1889  0.0142  0.04
Rosenthal 1931d   26  -0.0152  0.0016  0.0612  0.3672  0.0312  0.10
Rossi 2007   75  -0.1627  0.0081  0.0278  0.0289  0.0182  0.01
Rubinstein 1939   30  -0.0438  0.0032  0.0426  0.2148  0.057  0.10
Rubinstein 1952   37  -0.0580  0.0039  0.0525  0.2265  0.0418  0.09
Rubinstein 1966   33  -0.0410  0.0210  0.1011  0.3782  0.0216  0.09
Schilhawsky 1960   34  -0.0442  0.0037  0.0442  0.1187  0.0232  0.05
Shebanova 2002   35  -0.0551  0.0034  0.0424  0.2585  0.0223  0.07
Smith 1975   72  -0.1634  0.0066  0.0274  0.0289  0.0256  0.02
Sokolov 2002   59  -0.1141  0.0070  0.0273  0.0290  0.0181  0.01
Sztompka 1959   57  -0.1175  0.0068  0.0276  0.0288  0.0263  0.02
Tomsic 1995   86  -0.2039  0.0049  0.0449  0.0490  0.0161  0.02
Uninsky 1932   19  0.005  0.058  0.108  0.3979  0.035  0.11
Uninsky 1971   18  0.0035  0.0024  0.0720  0.2987  0.0220  0.08
Wasowski 1980   40  -0.0667  0.0060  0.0360  0.0389  0.0252  0.02
Zak 1937   80  -0.1876  0.0078  0.0269  0.0288  0.0259  0.02
Zak 1951   83  -0.2077  0.0083  0.0288  0.0289  0.0186  0.01
Random 1   2  0.101  0.201  0.201  0.561  0.621  0.59
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   25  -0.0130  0.0033  0.0538  0.1358  0.0424  0.07

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).