Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.4083  0.0054  0.0460  0.0468  0.0381  0.03
Anderszewski 2003   79  0.2762  0.0081  0.0372  0.0386  0.0287  0.02
Ashkenazy 1981   22  0.4723  0.0016  0.1011  0.4361  0.0423  0.13
Bacha 2000   70  0.3257  0.0071  0.0385  0.0363  0.0473  0.03
Badura 1965   81  0.2770  0.0084  0.0378  0.0386  0.0289  0.02
Barbosa 1983   76  0.2980  0.0072  0.0287  0.0275  0.0477  0.03
Biret 1990   25  0.4731  0.0037  0.0629  0.2248  0.0630  0.11
Blet 2003   58  0.3754  0.0078  0.0366  0.0378  0.0478  0.03
Block 1995   20  0.4815  0.0227  0.0521  0.2530  0.2316  0.24
Blumental 1952   84  0.2387  0.0075  0.0377  0.0373  0.0382  0.03
Boshniakovich 1969   28  0.4645  0.0032  0.0538  0.1852  0.0441  0.08
Brailowsky 1960   47  0.4089  0.0051  0.0552  0.0549  0.0554  0.05
Bunin 1987   63  0.3549  0.0066  0.0375  0.0372  0.0483  0.03
Bunin 1987b   61  0.3553  0.0065  0.0383  0.0373  0.0375  0.03
Chiu 1999   9  0.5311  0.047  0.145  0.5523  0.413  0.47
Cohen 1997   74  0.3075  0.0064  0.0465  0.0441  0.1247  0.07
Cortot 1951   54  0.3837  0.0070  0.0380  0.0360  0.0484  0.03
Csalog 1996   68  0.3378  0.0067  0.0369  0.0346  0.0858  0.05
Czerny 1949   51  0.3846  0.0068  0.0374  0.0367  0.0380  0.03
Czerny 1990   13  0.5140  0.0039  0.0534  0.1961  0.0535  0.10
Duchoud 2007   30  0.4626  0.0030  0.0536  0.1951  0.0533  0.10
Ezaki 2006   29  0.4648  0.0041  0.0835  0.1959  0.0436  0.09
Falvay 1989   10  0.5212  0.036  0.146  0.5425  0.248  0.36
Farrell 1958   49  0.3968  0.0060  0.0463  0.0449  0.0463  0.04
Ferenczy 1958   82  0.2656  0.0085  0.0376  0.0379  0.0379  0.03
Fliere 1977   1  0.606  0.055  0.134  0.5738  0.1311  0.27
Fou 1978   33  0.4525  0.0018  0.1016  0.3739  0.1812  0.26
Francois 1956   42  0.4133  0.0022  0.0630  0.2168  0.0344  0.08
Friedman 1923   87  0.1619  0.0187  0.0371  0.0363  0.0572  0.04
Friedman 1923b   85  0.1721  0.0186  0.0462  0.0453  0.0660  0.05
Friedman 1930   66  0.3350  0.0059  0.0458  0.0469  0.0467  0.04
Garcia 2007   65  0.3430  0.0076  0.0382  0.0335  0.1940  0.08
Garcia 2007b   60  0.3620  0.0120  0.0633  0.1920  0.3414  0.25
Gierzod 1998   57  0.3728  0.0058  0.0553  0.0568  0.0468  0.04
Gornostaeva 1994   11  0.5171  0.0035  0.0524  0.2463  0.0434  0.10
Groot 1988   18  0.4972  0.0029  0.0618  0.3250  0.0524  0.13
Harasiewicz 1955   15  0.5022  0.0012  0.1115  0.3939  0.1613  0.25
Hatto 1993   73  0.3032  0.0047  0.0549  0.0543  0.0948  0.07
Hatto 1997   77  0.2884  0.0038  0.0644  0.1069  0.0452  0.06
Horowitz 1949   27  0.463  0.093  0.1310  0.4427  0.316  0.37
Indjic 1988   78  0.2859  0.0048  0.0646  0.0658  0.0557  0.05
Kapell 1951   39  0.4385  0.0053  0.0554  0.0572  0.0464  0.04
Kissin 1993   5  0.561  0.171  0.173  0.6118  0.412  0.50
Kushner 1989   7  0.5413  0.0313  0.1214  0.4033  0.2010  0.28
Luisada 1991   19  0.4847  0.0036  0.0519  0.2642  0.1019  0.16
Lushtak 2004   45  0.4169  0.0049  0.0648  0.0670  0.0370  0.04
Malcuzynski 1961   6  0.547  0.059  0.1113  0.4041  0.1415  0.24
Magaloff 1978   3  0.572  0.112  0.202  0.6321  0.304  0.43
Magin 1975   32  0.4538  0.0014  0.1117  0.3322  0.279  0.30
Michalowski 1933   72  0.3261  0.0074  0.0373  0.0378  0.0476  0.03
Milkina 1970   43  0.415  0.058  0.129  0.4822  0.345  0.40
Mohovich 1999   24  0.4767  0.0043  0.0542  0.1381  0.0353  0.06
Moravec 1969   50  0.399  0.0415  0.0920  0.2643  0.0921  0.15
Morozova 2008   38  0.4376  0.0033  0.0828  0.2364  0.0432  0.10
Neighaus 1950   8  0.5417  0.0111  0.107  0.5250  0.0618  0.18
Niedzielski 1931   69  0.3244  0.0046  0.0550  0.0557  0.0462  0.04
Ohlsson 1999   21  0.4818  0.0117  0.1112  0.4258  0.0422  0.13
Osinska 1989   12  0.5165  0.0040  0.0639  0.1857  0.0538  0.09
Pachmann 1927   56  0.378  0.0419  0.0732  0.1940  0.1320  0.16
Paderewski 1930   46  0.4143  0.0050  0.0647  0.0655  0.0456  0.05
Perlemuter 1992   40  0.4258  0.0055  0.0456  0.0471  0.0461  0.04
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   53  0.3881  0.0063  0.0368  0.0361  0.0474  0.03
Rabcewiczowa 1932   35  0.4434  0.0057  0.0551  0.0551  0.0555  0.05
Rachmaninoff 1923   64  0.3563  0.0044  0.0543  0.1068  0.0449  0.06
Rangell 2001   16  0.4939  0.0021  0.0822  0.2545  0.0627  0.12
Richter 1976   17  0.4966  0.0028  0.0526  0.2335  0.1717  0.20
Rosen 1989   4  0.5614  0.0210  0.088  0.5030  0.287  0.37
Rosenthal 1930   55  0.3873  0.0061  0.0464  0.0467  0.0469  0.04
Rosenthal 1931   83  0.2682  0.0079  0.0367  0.0349  0.0566  0.04
Rosenthal 1931b   80  0.2788  0.0080  0.0455  0.0448  0.0571  0.04
Rosenthal 1931c   62  0.3524  0.0069  0.0386  0.0376  0.0385  0.03
Rosenthal 1931d   67  0.3374  0.0062  0.0461  0.0429  0.1843  0.08
Rossi 2007   59  0.3641  0.0077  0.0381  0.0336  0.1545  0.07
Rubinstein 1939   86  0.1760  0.0073  0.0384  0.0340  0.1250  0.06
Rubinstein 1952   41  0.4251  0.0045  0.0745  0.0729  0.2325  0.13
Rubinstein 1966   52  0.3864  0.0052  0.0457  0.0452  0.0659  0.05
Schilhawsky 1960   75  0.3077  0.0082  0.0379  0.0386  0.0288  0.02
Shebanova 2002   2  0.584  0.074  0.131  0.6814  0.471  0.57
Smith 1975   14  0.5155  0.0026  0.0523  0.2450  0.0528  0.11
Sokolov 2002   23  0.4716  0.0223  0.0627  0.2349  0.0626  0.12
Sztompka 1959   37  0.4427  0.0056  0.0459  0.0457  0.0565  0.04
Tomsic 1995   31  0.4652  0.0042  0.0641  0.1477  0.0351  0.06
Uninsky 1932   36  0.4410  0.0434  0.0837  0.1850  0.0539  0.09
Uninsky 1971   71  0.3286  0.0083  0.0370  0.0384  0.0286  0.02
Wasowski 1980   44  0.4129  0.0031  0.0540  0.1548  0.0637  0.09
Zak 1937   26  0.4742  0.0024  0.0725  0.2459  0.0529  0.11
Zak 1951   34  0.4579  0.0025  0.0731  0.2153  0.0531  0.10
Random 1   89  0.0036  0.0089  0.0288  0.0221  0.2746  0.07
Random 2   90  -0.0990  0.0090  0.0190  0.0187  0.0190  0.01
Random 3   88  0.0635  0.0088  0.0289  0.0221  0.3342  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).