Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.4084  0.0055  0.0461  0.0469  0.0382  0.03
Anderszewski 2003   80  0.2763  0.0082  0.0373  0.0387  0.0288  0.02
Ashkenazy 1981   23  0.4723  0.0017  0.0912  0.4362  0.0424  0.13
Bacha 2000   71  0.3258  0.0072  0.0386  0.0364  0.0473  0.03
Badura 1965   82  0.2771  0.0085  0.0379  0.0387  0.0290  0.02
Barbosa 1983   77  0.2981  0.0073  0.0288  0.0276  0.0477  0.03
Biret 1990   26  0.4732  0.0038  0.0530  0.2249  0.0631  0.11
Blet 2003   59  0.3755  0.0079  0.0367  0.0379  0.0478  0.03
Block 1995   21  0.4815  0.0228  0.0522  0.2531  0.2316  0.24
Blumental 1952   85  0.2388  0.0076  0.0378  0.0374  0.0383  0.03
Boshniakovich 1969   29  0.4646  0.0033  0.0539  0.1853  0.0442  0.08
Brailowsky 1960   48  0.4090  0.0052  0.0553  0.0550  0.0555  0.05
Bunin 1987   64  0.3550  0.0067  0.0376  0.0373  0.0484  0.03
Bunin 1987b   62  0.3554  0.0066  0.0384  0.0374  0.0375  0.03
Chiu 1999   10  0.5310  0.038  0.146  0.5524  0.413  0.47
Cohen 1997   75  0.3075  0.0065  0.0366  0.0342  0.1254  0.06
Cortot 1951   55  0.3838  0.0071  0.0381  0.0361  0.0485  0.03
Csalog 1996   69  0.3379  0.0068  0.0370  0.0347  0.0759  0.05
Czerny 1949   52  0.3847  0.0069  0.0375  0.0368  0.0381  0.03
Czerny 1990   14  0.5139  0.0040  0.0535  0.1962  0.0536  0.10
Duchoud 2007   31  0.4627  0.0031  0.0537  0.1952  0.0534  0.10
Ezaki 2006   30  0.4649  0.0042  0.0836  0.1960  0.0437  0.09
Falvay 1989   11  0.5211  0.037  0.147  0.5426  0.248  0.36
Farrell 1958   50  0.3969  0.0061  0.0464  0.0450  0.0464  0.04
Ferenczy 1958   83  0.2657  0.0086  0.0377  0.0380  0.0380  0.03
Fliere 1977   2  0.6012  0.036  0.125  0.5739  0.1311  0.27
Fou 1978   34  0.4525  0.0019  0.1017  0.3740  0.1812  0.26
Francois 1956   43  0.4133  0.0023  0.0631  0.2169  0.0345  0.08
Friedman 1923   88  0.1618  0.0188  0.0372  0.0364  0.0572  0.04
Friedman 1923b   86  0.1721  0.0187  0.0463  0.0454  0.0661  0.05
Friedman 1930   67  0.3351  0.0060  0.0459  0.0470  0.0379  0.03
Garcia 2007   66  0.3431  0.0077  0.0383  0.0336  0.1941  0.08
Garcia 2007b   61  0.3620  0.0121  0.0634  0.1921  0.3414  0.25
Gierzod 1998   58  0.3730  0.0059  0.0554  0.0569  0.0468  0.04
Gornostaeva 1994   12  0.5172  0.0036  0.0525  0.2464  0.0435  0.10
Groot 1988   19  0.4974  0.0030  0.0619  0.3251  0.0525  0.13
Harasiewicz 1955   16  0.5026  0.0013  0.1116  0.3940  0.1613  0.25
Hatto 1993   74  0.3035  0.0048  0.0550  0.0544  0.0948  0.07
Hatto 1997   78  0.2885  0.0039  0.0645  0.1070  0.0452  0.06
Horowitz 1949   28  0.463  0.094  0.1311  0.4428  0.316  0.37
Indjic 1988   79  0.2860  0.0049  0.0647  0.0659  0.0558  0.05
Kapell 1951   40  0.4386  0.0054  0.0555  0.0573  0.0365  0.04
Kissin 1993   6  0.562  0.142  0.174  0.6119  0.412  0.50
Kushner 1989   8  0.5422  0.0014  0.1215  0.4034  0.2010  0.28
Luisada 1991   20  0.4848  0.0037  0.0520  0.2643  0.1019  0.16
Lushtak 2004   46  0.4170  0.0050  0.0649  0.0671  0.0370  0.04
Malcuzynski 1961   7  0.5413  0.0310  0.1114  0.4042  0.1415  0.24
Magaloff 1978   4  0.574  0.083  0.203  0.6322  0.304  0.43
Magin 1975   33  0.4540  0.0015  0.1118  0.3323  0.279  0.30
Michalowski 1933   73  0.3262  0.0075  0.0374  0.0379  0.0376  0.03
Milkina 1970   44  0.415  0.059  0.1210  0.4823  0.345  0.40
Mohovich 1999   25  0.4768  0.0044  0.0543  0.1382  0.0353  0.06
Moravec 1969   51  0.398  0.0416  0.0921  0.2644  0.0921  0.15
Morozova 2008   39  0.4376  0.0034  0.0729  0.2365  0.0433  0.10
Neighaus 1950   9  0.5417  0.0112  0.108  0.5251  0.0618  0.18
Niedzielski 1931   70  0.3245  0.0047  0.0551  0.0558  0.0463  0.04
Ohlsson 1999   22  0.4819  0.0118  0.1113  0.4259  0.0423  0.13
Osinska 1989   13  0.5166  0.0041  0.0640  0.1858  0.0539  0.09
Pachmann 1927   57  0.377  0.0420  0.0733  0.1941  0.1320  0.16
Paderewski 1930   47  0.4143  0.0051  0.0648  0.0656  0.0457  0.05
Perlemuter 1992   41  0.4259  0.0056  0.0457  0.0472  0.0462  0.04
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   54  0.3882  0.0064  0.0369  0.0362  0.0474  0.03
Rabcewiczowa 1932   36  0.4434  0.0058  0.0552  0.0552  0.0556  0.05
Rachmaninoff 1923   65  0.3564  0.0045  0.0544  0.1069  0.0449  0.06
Rangell 2001   17  0.4944  0.0022  0.0823  0.2546  0.0627  0.12
Richter 1976   18  0.4967  0.0029  0.0527  0.2336  0.1717  0.20
Rosen 1989   5  0.5614  0.0211  0.089  0.5031  0.287  0.37
Rosenthal 1930   56  0.3873  0.0062  0.0465  0.0468  0.0469  0.04
Rosenthal 1931   84  0.2683  0.0080  0.0368  0.0350  0.0567  0.04
Rosenthal 1931b   81  0.2789  0.0081  0.0456  0.0449  0.0571  0.04
Rosenthal 1931c   63  0.3524  0.0070  0.0387  0.0377  0.0386  0.03
Rosenthal 1931d   68  0.3377  0.0063  0.0462  0.0430  0.1844  0.08
Rossi 2007   60  0.3641  0.0078  0.0382  0.0337  0.1546  0.07
Rubinstein 1939   87  0.1761  0.0074  0.0385  0.0341  0.1250  0.06
Rubinstein 1952   42  0.4252  0.0046  0.0646  0.0630  0.2328  0.12
Rubinstein 1966   53  0.3865  0.0053  0.0458  0.0453  0.0660  0.05
Schilhawsky 1960   76  0.3078  0.0083  0.0380  0.0387  0.0289  0.02
Shebanova 2002   3  0.586  0.055  0.131  0.6815  0.471  0.57
Smith 1975   15  0.5156  0.0027  0.0524  0.2451  0.0529  0.11
Sokolov 2002   24  0.4716  0.0224  0.0628  0.2350  0.0626  0.12
Sztompka 1959   38  0.4428  0.0057  0.0460  0.0458  0.0566  0.04
Tomsic 1995   32  0.4653  0.0043  0.0642  0.1478  0.0351  0.06
Uninsky 1932   37  0.449  0.0335  0.0838  0.1851  0.0540  0.09
Uninsky 1971   72  0.3287  0.0084  0.0371  0.0385  0.0287  0.02
Wasowski 1980   45  0.4129  0.0032  0.0541  0.1549  0.0638  0.09
Zak 1937   27  0.4742  0.0025  0.0726  0.2460  0.0530  0.11
Zak 1951   35  0.4580  0.0026  0.0732  0.2154  0.0532  0.10
Average   1  0.621  0.191  0.182  0.6681  0.0322  0.14
Random 1   90  0.0037  0.0090  0.0289  0.0222  0.2747  0.07
Random 2   91  -0.0991  0.0091  0.0191  0.0188  0.0191  0.01
Random 3   89  0.0636  0.0089  0.0290  0.0221  0.3443  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).