Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   67  0.2086  0.0052  0.0747  0.0765  0.0461  0.05
Anderszewski 2003   88  0.0167  0.0086  0.0286  0.0282  0.0388  0.02
Ashkenazy 1981   24  0.3773  0.0026  0.0920  0.4361  0.0629  0.16
Bacha 2000   70  0.1843  0.0065  0.0371  0.0358  0.0563  0.04
Badura 1965   74  0.1574  0.0076  0.0374  0.0382  0.0380  0.03
Barbosa 1983   72  0.1687  0.0068  0.0368  0.0379  0.0377  0.03
Biret 1990   56  0.2639  0.0058  0.0649  0.0640  0.2039  0.11
Blet 2003   50  0.2718  0.0154  0.0555  0.0562  0.0559  0.05
Block 1995   9  0.456  0.053  0.148  0.6122  0.487  0.54
Blumental 1952   77  0.1288  0.0066  0.0370  0.0358  0.0571  0.04
Boshniakovich 1969   33  0.3346  0.0049  0.0746  0.0766  0.0554  0.06
Brailowsky 1960   80  0.0989  0.0084  0.0284  0.0283  0.0384  0.02
Bunin 1987   48  0.2833  0.0032  0.0637  0.1845  0.0933  0.13
Bunin 1987b   47  0.2815  0.0131  0.0636  0.1950  0.0734  0.12
Chiu 1999   8  0.464  0.064  0.194  0.6922  0.503  0.59
Cohen 1997   57  0.2559  0.0043  0.0543  0.1047  0.0846  0.09
Cortot 1951   45  0.2942  0.0050  0.0650  0.0638  0.2140  0.11
Csalog 1996   28  0.3544  0.0045  0.0556  0.0541  0.1744  0.09
Czerny 1949   79  0.1053  0.0085  0.0287  0.0270  0.0478  0.03
Czerny 1990   42  0.3045  0.0041  0.0740  0.1644  0.1430  0.15
Duchoud 2007   14  0.4024  0.0017  0.1016  0.5133  0.2816  0.38
Ezaki 2006   75  0.1454  0.0080  0.0375  0.0369  0.0475  0.03
Falvay 1989   51  0.2722  0.0040  0.0641  0.1556  0.0543  0.09
Farrell 1958   66  0.2290  0.0062  0.0462  0.0450  0.0658  0.05
Ferenczy 1958   81  0.0950  0.0081  0.0382  0.0351  0.0760  0.05
Fliere 1977   3  0.4917  0.019  0.165  0.6837  0.446  0.55
Fou 1978   43  0.3081  0.0055  0.0554  0.0574  0.0366  0.04
Francois 1956   69  0.1968  0.0070  0.0465  0.0456  0.0574  0.04
Friedman 1923   17  0.3912  0.0223  0.1326  0.3251  0.0927  0.17
Friedman 1923b   13  0.4121  0.0122  0.1421  0.4244  0.2121  0.30
Friedman 1930   20  0.3840  0.0030  0.0734  0.2344  0.1525  0.19
Garcia 2007   16  0.3928  0.0020  0.0924  0.3737  0.2420  0.30
Garcia 2007b   18  0.3911  0.028  0.1515  0.5318  0.558  0.54
Gierzod 1998   85  0.0930  0.0072  0.0467  0.0467  0.0469  0.04
Gornostaeva 1994   61  0.2452  0.0071  0.0466  0.0463  0.0472  0.04
Groot 1988   22  0.3770  0.0035  0.0632  0.2556  0.0637  0.12
Harasiewicz 1955   27  0.3657  0.0028  0.0822  0.3958  0.0531  0.14
Hatto 1993   19  0.3832  0.0015  0.1013  0.5941  0.2118  0.35
Hatto 1997   34  0.3279  0.0034  0.0728  0.3051  0.0632  0.13
Horowitz 1949   15  0.3914  0.0113  0.1217  0.5032  0.4015  0.45
Indjic 1988   29  0.3555  0.0024  0.1118  0.4943  0.1919  0.31
Kapell 1951   25  0.3675  0.0037  0.1130  0.2672  0.0538  0.11
Kissin 1993   26  0.3658  0.0016  0.0814  0.5432  0.4612  0.50
Kushner 1989   32  0.3410  0.0227  0.1027  0.3241  0.1924  0.25
Luisada 1991   30  0.3447  0.0046  0.0652  0.0670  0.0455  0.05
Lushtak 2004   58  0.2534  0.0061  0.0461  0.0460  0.0570  0.04
Malcuzynski 1961   21  0.3719  0.0133  0.0729  0.3062  0.0535  0.12
Magaloff 1978   11  0.4216  0.0112  0.1212  0.6027  0.4210  0.50
Magin 1975   46  0.2951  0.0042  0.0642  0.1351  0.0841  0.10
Michalowski 1933   35  0.3276  0.0048  0.0651  0.0654  0.0753  0.06
Milkina 1970   78  0.113  0.0718  0.0733  0.2534  0.3023  0.27
Mohovich 1999   64  0.2337  0.0067  0.0369  0.0372  0.0481  0.03
Moravec 1969   38  0.319  0.0219  0.1123  0.3733  0.2222  0.29
Morozova 2008   52  0.2782  0.0036  0.0731  0.2547  0.0636  0.12
Neighaus 1950   12  0.4231  0.0021  0.0919  0.4652  0.0826  0.19
Niedzielski 1931   41  0.3029  0.0053  0.0648  0.0674  0.0457  0.05
Ohlsson 1999   23  0.375  0.065  0.1511  0.6024  0.3614  0.46
Osinska 1989   31  0.3469  0.0047  0.0558  0.0544  0.1050  0.07
Pachmann 1927   5  0.482  0.182  0.182  0.7211  0.721  0.72
Paderewski 1930   37  0.3120  0.0125  0.0725  0.3733  0.3517  0.36
Perlemuter 1992   44  0.3048  0.0056  0.0557  0.0573  0.0464  0.04
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   62  0.2425  0.0038  0.0738  0.1870  0.0447  0.08
Rabcewiczowa 1932   63  0.2449  0.0074  0.0372  0.0361  0.0565  0.04
Rachmaninoff 1923   40  0.3078  0.0039  0.0539  0.1739  0.1628  0.16
Rangell 2001   55  0.2661  0.0063  0.0463  0.0476  0.0473  0.04
Richter 1976   2  0.4956  0.0010  0.127  0.6333  0.534  0.58
Rosen 1989   6  0.4713  0.0111  0.159  0.6129  0.439  0.51
Rosenthal 1930   65  0.2362  0.0073  0.0373  0.0367  0.0479  0.03
Rosenthal 1931   89  0.0066  0.0088  0.0288  0.0285  0.0287  0.02
Rosenthal 1931b   86  0.0577  0.0089  0.0285  0.0283  0.0289  0.02
Rosenthal 1931c   68  0.1923  0.0075  0.0464  0.0466  0.0383  0.03
Rosenthal 1931d   84  0.0983  0.0082  0.0380  0.0382  0.0382  0.03
Rossi 2007   73  0.1541  0.0078  0.0381  0.0331  0.2448  0.08
Rubinstein 1939   83  0.0984  0.0069  0.0378  0.0375  0.0376  0.03
Rubinstein 1952   59  0.2571  0.0057  0.0653  0.0672  0.0462  0.05
Rubinstein 1966   49  0.2860  0.0044  0.0544  0.0954  0.0551  0.07
Schilhawsky 1960   76  0.1380  0.0077  0.0379  0.0349  0.0668  0.04
Shebanova 2002   1  0.511  0.291  0.291  0.7624  0.602  0.68
Smith 1975   54  0.2635  0.0059  0.0559  0.0551  0.0656  0.05
Sokolov 2002   36  0.3185  0.0029  0.0835  0.2151  0.0442  0.09
Sztompka 1959   10  0.4427  0.0014  0.106  0.6331  0.3911  0.50
Tomsic 1995   60  0.2538  0.0064  0.0377  0.0384  0.0285  0.02
Uninsky 1932   4  0.498  0.026  0.173  0.7021  0.455  0.56
Uninsky 1971   71  0.1663  0.0079  0.0376  0.0383  0.0286  0.02
Wasowski 1980   7  0.467  0.047  0.1110  0.6135  0.4013  0.49
Zak 1937   39  0.3136  0.0051  0.0745  0.0758  0.0652  0.06
Zak 1951   53  0.2664  0.0060  0.0460  0.0469  0.0467  0.04
Random 1   87  0.0126  0.0083  0.0283  0.0218  0.3449  0.08
Random 2   90  -0.0872  0.0090  0.0190  0.0186  0.0290  0.01
Random 3   82  0.0965  0.0087  0.0289  0.0213  0.4445  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).