Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.2928  0.0057  0.0456  0.0481  0.0378  0.03
Anderszewski 2003   85  0.1281  0.0079  0.0474  0.0487  0.0276  0.03
Ashkenazy 1981   25  0.3566  0.0051  0.0461  0.0469  0.0562  0.04
Bacha 2000   63  0.2663  0.0070  0.0465  0.0463  0.0450  0.04
Badura 1965   81  0.1785  0.0080  0.0470  0.0467  0.0380  0.03
Barbosa 1983   82  0.1778  0.0078  0.0473  0.0481  0.0375  0.03
Biret 1990   50  0.3020  0.0043  0.0642  0.1247  0.0737  0.09
Blet 2003   61  0.2715  0.0153  0.0468  0.0467  0.0457  0.04
Block 1995   65  0.2642  0.0058  0.0455  0.0480  0.0381  0.03
Blumental 1952   80  0.1782  0.0072  0.0381  0.0386  0.0382  0.03
Boshniakovich 1969   17  0.3858  0.0022  0.0822  0.3952  0.0627  0.15
Brailowsky 1960   87  0.0889  0.0087  0.0287  0.0286  0.0286  0.02
Bunin 1987   62  0.2652  0.0056  0.0547  0.0569  0.0463  0.04
Bunin 1987b   67  0.2654  0.0055  0.0467  0.0471  0.0373  0.03
Chiu 1999   14  0.3834  0.0021  0.1121  0.4054  0.0528  0.14
Cohen 1997   33  0.3322  0.0034  0.0732  0.2041  0.2214  0.21
Cortot 1951   71  0.2447  0.0064  0.0453  0.0447  0.0748  0.05
Csalog 1996   20  0.3727  0.0026  0.0725  0.3755  0.0626  0.15
Czerny 1949   69  0.2575  0.0065  0.0452  0.0461  0.0559  0.04
Czerny 1990   41  0.3279  0.0045  0.0549  0.0576  0.0464  0.04
Duchoud 2007   9  0.4012  0.0110  0.124  0.5811  0.545  0.56
Ezaki 2006   77  0.2246  0.0077  0.0380  0.0383  0.0366  0.03
Falvay 1989   32  0.3353  0.0039  0.0540  0.1369  0.0539  0.08
Farrell 1958   54  0.2968  0.0036  0.0536  0.1866  0.0441  0.08
Ferenczy 1958   79  0.1862  0.0082  0.0377  0.0367  0.0477  0.03
Fliere 1977   7  0.429  0.0311  0.1511  0.5476  0.0424  0.15
Fou 1978   36  0.3240  0.0048  0.0551  0.0581  0.0353  0.04
Francois 1956   53  0.2935  0.0032  0.0731  0.2432  0.2013  0.22
Friedman 1923   58  0.2741  0.0062  0.0546  0.0564  0.0549  0.05
Friedman 1923b   55  0.2839  0.0061  0.0454  0.0454  0.0647  0.05
Friedman 1930   34  0.3324  0.0031  0.0735  0.1963  0.0534  0.10
Garcia 2007   5  0.422  0.162  0.313  0.695  0.652  0.67
Garcia 2007b   4  0.431  0.391  0.391  0.716  0.671  0.69
Gierzod 1998   48  0.3013  0.0141  0.0539  0.1374  0.0444  0.07
Gornostaeva 1994   56  0.2857  0.0063  0.0463  0.0477  0.0384  0.03
Groot 1988   40  0.3251  0.0035  0.0734  0.1978  0.0438  0.09
Harasiewicz 1955   10  0.3955  0.0014  0.1510  0.5474  0.0522  0.16
Hatto 1993   18  0.3721  0.009  0.166  0.5847  0.0812  0.22
Hatto 1997   26  0.3561  0.0020  0.1118  0.4664  0.0429  0.14
Horowitz 1949   51  0.2956  0.0069  0.0472  0.0466  0.0456  0.04
Indjic 1988   23  0.3671  0.0013  0.1313  0.5463  0.0521  0.16
Kapell 1951   19  0.3717  0.0016  0.1016  0.5060  0.0518  0.16
Kissin 1993   28  0.3486  0.0023  0.0926  0.3447  0.0820  0.16
Kushner 1989   16  0.388  0.038  0.135  0.5853  0.0616  0.19
Luisada 1991   64  0.2672  0.0076  0.0382  0.0379  0.0467  0.03
Lushtak 2004   57  0.2836  0.0068  0.0645  0.0679  0.0360  0.04
Malcuzynski 1961   11  0.3910  0.0215  0.1614  0.5351  0.0617  0.18
Magaloff 1978   24  0.3518  0.0024  0.0823  0.3963  0.0430  0.12
Magin 1975   35  0.3233  0.0042  0.0638  0.1462  0.0540  0.08
Michalowski 1933   44  0.3150  0.0047  0.0460  0.0436  0.2135  0.09
Milkina 1970   60  0.277  0.036  0.1120  0.4445  0.0915  0.20
Mohovich 1999   70  0.2476  0.0052  0.0464  0.0488  0.0283  0.03
Moravec 1969   47  0.3069  0.0059  0.0548  0.0569  0.0451  0.04
Morozova 2008   45  0.3038  0.0030  0.0828  0.3270  0.0432  0.11
Neighaus 1950   27  0.3430  0.0038  0.0541  0.1370  0.0445  0.07
Niedzielski 1931   74  0.2245  0.0075  0.0376  0.0377  0.0371  0.03
Ohlsson 1999   22  0.3616  0.007  0.1215  0.5252  0.0519  0.16
Osinska 1989   8  0.4137  0.0017  0.1212  0.5443  0.129  0.25
Pachmann 1927   2  0.454  0.064  0.157  0.589  0.603  0.59
Paderewski 1930   15  0.385  0.0512  0.138  0.5512  0.594  0.57
Perlemuter 1992   31  0.3470  0.0050  0.0462  0.0464  0.0552  0.04
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   76  0.2290  0.0071  0.0379  0.0386  0.0368  0.03
Rabcewiczowa 1932   49  0.3048  0.0066  0.0471  0.0481  0.0372  0.03
Rachmaninoff 1923   72  0.2325  0.0040  0.0544  0.1083  0.0346  0.05
Rangell 2001   43  0.3173  0.0067  0.0550  0.0576  0.0365  0.04
Richter 1976   6  0.4211  0.0119  0.1119  0.4544  0.1310  0.24
Rosen 1989   1  0.463  0.075  0.179  0.5542  0.138  0.27
Rosenthal 1930   75  0.2274  0.0083  0.0385  0.0382  0.0379  0.03
Rosenthal 1931   86  0.1087  0.0086  0.0386  0.0387  0.0287  0.02
Rosenthal 1931b   84  0.1684  0.0085  0.0469  0.0482  0.0385  0.03
Rosenthal 1931c   78  0.2277  0.0081  0.0383  0.0383  0.0289  0.02
Rosenthal 1931d   83  0.1780  0.0084  0.0384  0.0385  0.0288  0.02
Rossi 2007   37  0.3223  0.0037  0.0637  0.1713  0.477  0.28
Rubinstein 1939   73  0.2326  0.0046  0.0457  0.0480  0.0370  0.03
Rubinstein 1952   38  0.3244  0.0028  0.0729  0.2962  0.0433  0.11
Rubinstein 1966   29  0.3449  0.0033  0.0830  0.2482  0.0342  0.08
Schilhawsky 1960   59  0.2759  0.0054  0.0459  0.0469  0.0458  0.04
Shebanova 2002   3  0.446  0.043  0.152  0.6942  0.176  0.34
Smith 1975   66  0.2665  0.0074  0.0378  0.0384  0.0369  0.03
Sokolov 2002   46  0.3019  0.0025  0.0833  0.2049  0.0631  0.11
Sztompka 1959   13  0.3943  0.0027  0.0724  0.3753  0.0625  0.15
Tomsic 1995   39  0.3232  0.0049  0.0466  0.0467  0.0455  0.04
Uninsky 1932   21  0.3731  0.0029  0.0727  0.3440  0.1411  0.22
Uninsky 1971   68  0.2588  0.0073  0.0375  0.0374  0.0474  0.03
Wasowski 1980   12  0.3914  0.0118  0.1117  0.4871  0.0523  0.15
Zak 1937   30  0.3429  0.0044  0.0643  0.1166  0.0443  0.07
Zak 1951   42  0.3260  0.0060  0.0458  0.0462  0.0454  0.04
Random 1   89  -0.0364  0.0089  0.0289  0.0244  0.0761  0.04
Random 2   90  -0.0683  0.0090  0.0190  0.0180  0.0290  0.01
Random 3   88  0.0067  0.0088  0.0288  0.0213  0.4136  0.09

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).