Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   68  0.2087  0.0053  0.0748  0.0766  0.0461  0.05
Anderszewski 2003   89  0.0168  0.0087  0.0287  0.0283  0.0389  0.02
Ashkenazy 1981   25  0.3774  0.0027  0.0921  0.4362  0.0630  0.16
Bacha 2000   71  0.1844  0.0066  0.0372  0.0359  0.0562  0.04
Badura 1965   75  0.1575  0.0077  0.0375  0.0383  0.0381  0.03
Barbosa 1983   73  0.1688  0.0069  0.0369  0.0380  0.0378  0.03
Biret 1990   57  0.2640  0.0059  0.0650  0.0641  0.2040  0.11
Blet 2003   51  0.2718  0.0155  0.0556  0.0563  0.0560  0.05
Block 1995   10  0.457  0.044  0.149  0.6123  0.487  0.54
Blumental 1952   78  0.1289  0.0067  0.0371  0.0359  0.0571  0.04
Boshniakovich 1969   34  0.3347  0.0050  0.0747  0.0767  0.0555  0.06
Brailowsky 1960   81  0.0990  0.0085  0.0285  0.0284  0.0385  0.02
Bunin 1987   49  0.2833  0.0033  0.0638  0.1846  0.0934  0.13
Bunin 1987b   48  0.2816  0.0132  0.0637  0.1951  0.0735  0.12
Chiu 1999   9  0.466  0.045  0.185  0.6923  0.503  0.59
Cohen 1997   58  0.2559  0.0044  0.0544  0.1048  0.0750  0.08
Cortot 1951   46  0.2943  0.0051  0.0651  0.0639  0.2141  0.11
Csalog 1996   29  0.3545  0.0046  0.0557  0.0542  0.1745  0.09
Czerny 1949   80  0.1054  0.0086  0.0288  0.0271  0.0479  0.03
Czerny 1990   43  0.3046  0.0042  0.0741  0.1645  0.1431  0.15
Duchoud 2007   15  0.4028  0.0018  0.1017  0.5134  0.2816  0.38
Ezaki 2006   76  0.1455  0.0081  0.0376  0.0370  0.0476  0.03
Falvay 1989   52  0.2723  0.0041  0.0642  0.1557  0.0544  0.09
Farrell 1958   67  0.2291  0.0063  0.0463  0.0451  0.0659  0.05
Ferenczy 1958   82  0.0951  0.0082  0.0283  0.0252  0.0768  0.04
Fliere 1977   4  0.4919  0.0110  0.166  0.6838  0.446  0.55
Fou 1978   44  0.3082  0.0056  0.0555  0.0575  0.0365  0.04
Francois 1956   70  0.1969  0.0071  0.0466  0.0457  0.0575  0.04
Friedman 1923   18  0.3913  0.0224  0.1327  0.3252  0.0928  0.17
Friedman 1923b   14  0.4122  0.0123  0.1322  0.4245  0.2121  0.30
Friedman 1930   21  0.3841  0.0031  0.0735  0.2345  0.1526  0.19
Garcia 2007   17  0.3929  0.0021  0.0825  0.3738  0.2420  0.30
Garcia 2007b   19  0.3912  0.029  0.1516  0.5319  0.558  0.54
Gierzod 1998   86  0.0931  0.0073  0.0468  0.0468  0.0469  0.04
Gornostaeva 1994   62  0.2453  0.0072  0.0467  0.0464  0.0472  0.04
Groot 1988   23  0.3771  0.0036  0.0633  0.2557  0.0638  0.12
Harasiewicz 1955   28  0.3660  0.0029  0.0823  0.3959  0.0532  0.14
Hatto 1993   20  0.3834  0.0016  0.1014  0.5942  0.2118  0.35
Hatto 1997   35  0.3280  0.0035  0.0729  0.3052  0.0633  0.13
Horowitz 1949   16  0.3915  0.0114  0.1218  0.5033  0.4015  0.45
Indjic 1988   30  0.3556  0.0025  0.1119  0.4944  0.1919  0.31
Kapell 1951   26  0.3678  0.0038  0.1131  0.2673  0.0539  0.11
Kissin 1993   27  0.3658  0.0017  0.0815  0.5433  0.4612  0.50
Kushner 1989   33  0.3410  0.0228  0.1028  0.3242  0.1924  0.25
Luisada 1991   31  0.3448  0.0047  0.0653  0.0671  0.0456  0.05
Lushtak 2004   59  0.2535  0.0062  0.0462  0.0461  0.0570  0.04
Malcuzynski 1961   22  0.3720  0.0134  0.0730  0.3063  0.0536  0.12
Magaloff 1978   12  0.4217  0.0113  0.1213  0.6028  0.4210  0.50
Magin 1975   47  0.2952  0.0043  0.0643  0.1352  0.0842  0.10
Michalowski 1933   36  0.3276  0.0049  0.0652  0.0655  0.0754  0.06
Milkina 1970   79  0.113  0.0719  0.0734  0.2535  0.3023  0.27
Mohovich 1999   65  0.2338  0.0068  0.0370  0.0373  0.0382  0.03
Moravec 1969   39  0.319  0.0220  0.1124  0.3734  0.2222  0.29
Morozova 2008   53  0.2783  0.0037  0.0732  0.2548  0.0637  0.12
Neighaus 1950   13  0.4232  0.0022  0.0920  0.4653  0.0727  0.18
Niedzielski 1931   42  0.3030  0.0054  0.0649  0.0675  0.0458  0.05
Ohlsson 1999   24  0.375  0.066  0.1512  0.6025  0.3614  0.46
Osinska 1989   32  0.3470  0.0048  0.0559  0.0545  0.1051  0.07
Pachmann 1927   6  0.482  0.162  0.173  0.7212  0.721  0.72
Paderewski 1930   38  0.3121  0.0126  0.0726  0.3734  0.3517  0.36
Perlemuter 1992   45  0.3049  0.0057  0.0558  0.0574  0.0463  0.04
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   63  0.2425  0.0039  0.0739  0.1871  0.0447  0.08
Rabcewiczowa 1932   64  0.2450  0.0075  0.0373  0.0362  0.0564  0.04
Rachmaninoff 1923   41  0.3079  0.0040  0.0540  0.1740  0.1629  0.16
Rangell 2001   56  0.2662  0.0064  0.0464  0.0477  0.0473  0.04
Richter 1976   3  0.4957  0.0011  0.128  0.6334  0.534  0.58
Rosen 1989   7  0.4714  0.0112  0.1510  0.6130  0.439  0.51
Rosenthal 1930   66  0.2363  0.0074  0.0374  0.0368  0.0480  0.03
Rosenthal 1931   90  0.0067  0.0089  0.0289  0.0286  0.0288  0.02
Rosenthal 1931b   87  0.0577  0.0090  0.0286  0.0284  0.0290  0.02
Rosenthal 1931c   69  0.1924  0.0076  0.0465  0.0467  0.0384  0.03
Rosenthal 1931d   85  0.0984  0.0083  0.0381  0.0383  0.0383  0.03
Rossi 2007   74  0.1542  0.0079  0.0382  0.0332  0.2448  0.08
Rubinstein 1939   84  0.0985  0.0070  0.0379  0.0376  0.0377  0.03
Rubinstein 1952   60  0.2572  0.0058  0.0554  0.0573  0.0474  0.04
Rubinstein 1966   50  0.2861  0.0045  0.0545  0.0955  0.0552  0.07
Schilhawsky 1960   77  0.1381  0.0078  0.0380  0.0350  0.0667  0.04
Shebanova 2002   2  0.511  0.271  0.261  0.7625  0.602  0.68
Smith 1975   55  0.2636  0.0060  0.0560  0.0552  0.0657  0.05
Sokolov 2002   37  0.3186  0.0030  0.0736  0.2152  0.0443  0.09
Sztompka 1959   11  0.4427  0.0015  0.107  0.6332  0.3911  0.50
Tomsic 1995   61  0.2539  0.0065  0.0378  0.0385  0.0286  0.02
Uninsky 1932   5  0.4911  0.027  0.174  0.7022  0.455  0.56
Uninsky 1971   72  0.1664  0.0080  0.0377  0.0384  0.0287  0.02
Wasowski 1980   8  0.468  0.048  0.1111  0.6136  0.4013  0.49
Zak 1937   40  0.3137  0.0052  0.0746  0.0759  0.0653  0.06
Zak 1951   54  0.2665  0.0061  0.0461  0.0470  0.0466  0.04
Average   1  0.544  0.073  0.162  0.7360  0.0525  0.19
Random 1   88  0.0126  0.0084  0.0284  0.0218  0.3549  0.08
Random 2   91  -0.0873  0.0091  0.0191  0.0187  0.0291  0.01
Random 3   83  0.0966  0.0088  0.0290  0.0213  0.4446  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).