Pierdomenico 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   44  0.5571  0.0057  0.0462  0.0464  0.0464  0.04
Anderszewski 2003   59  0.4735  0.0070  0.0381  0.0365  0.0371  0.03
Ashkenazy 1981   41  0.5627  0.0027  0.0822  0.2959  0.0437  0.11
Bacha 2000   68  0.4447  0.0059  0.0463  0.0431  0.2242  0.09
Badura 1965   73  0.4151  0.0081  0.0286  0.0276  0.0388  0.02
Barbosa 1983   72  0.4174  0.0069  0.0366  0.0375  0.0370  0.03
Biret 1990   19  0.6320  0.0120  0.0817  0.3242  0.1328  0.20
Blet 2003   60  0.4791  0.0078  0.0367  0.0370  0.0472  0.03
Block 1995   38  0.5719  0.0147  0.0452  0.0420  0.2936  0.11
Blumental 1952   82  0.2878  0.0086  0.0460  0.0478  0.0379  0.03
Boshniakovich 1969   29  0.5948  0.0021  0.0634  0.1835  0.1829  0.18
Brailowsky 1960   13  0.6689  0.0015  0.1014  0.3415  0.396  0.36
Bunin 1987   62  0.4749  0.0076  0.0368  0.0368  0.0480  0.03
Bunin 1987b   61  0.4764  0.0075  0.0378  0.0366  0.0468  0.03
Chiu 1999   33  0.5917  0.0129  0.0624  0.2824  0.3410  0.31
Cohen 1997   78  0.3486  0.0065  0.0365  0.0320  0.3240  0.10
Cortot 1951   66  0.4532  0.0080  0.0287  0.0268  0.0390  0.02
Csalog 1996   77  0.3587  0.0064  0.0372  0.0343  0.1848  0.07
Czerny 1949   35  0.5852  0.0058  0.0454  0.0472  0.0377  0.03
Czerny 1990   11  0.6853  0.0043  0.0440  0.1077  0.0357  0.05
Duchoud 2007   49  0.5330  0.0050  0.0453  0.0476  0.0378  0.03
Ezaki 2006   9  0.6958  0.0025  0.1126  0.2855  0.0433  0.11
Falvay 1989   7  0.701  0.241  0.231  0.5513  0.393  0.46
Farrell 1958   46  0.5425  0.0053  0.0546  0.0549  0.0556  0.05
Ferenczy 1958   74  0.4088  0.0082  0.0375  0.0368  0.0375  0.03
Fliere 1977   1  0.747  0.045  0.114  0.4833  0.1815  0.29
Fou 1978   37  0.5715  0.0210  0.0811  0.3928  0.337  0.36
Francois 1956   34  0.5941  0.0018  0.0829  0.2247  0.0639  0.11
Friedman 1923   90  -0.0457  0.0089  0.0288  0.0274  0.0583  0.03
Friedman 1923b   88  -0.0326  0.0088  0.0289  0.0274  0.0481  0.03
Friedman 1930   81  0.3231  0.0073  0.0285  0.0264  0.0573  0.03
Garcia 2007   76  0.3659  0.0083  0.0377  0.0351  0.0565  0.04
Garcia 2007b   80  0.3336  0.0052  0.0461  0.0415  0.2541  0.10
Gierzod 1998   27  0.6050  0.0040  0.0539  0.1362  0.0450  0.07
Gornostaeva 1994   6  0.7121  0.0122  0.0719  0.3120  0.3111  0.31
Groot 1988   24  0.6272  0.0031  0.0728  0.2348  0.0538  0.11
Harasiewicz 1955   21  0.6314  0.0213  0.0913  0.3628  0.2712  0.31
Hatto 1993   85  0.2567  0.0068  0.0458  0.0462  0.0382  0.03
Hatto 1997   83  0.2829  0.0063  0.0370  0.0360  0.0374  0.03
Horowitz 1949   42  0.563  0.074  0.1318  0.3117  0.349  0.32
Indjic 1988   86  0.2483  0.0067  0.0284  0.0267  0.0386  0.02
Kapell 1951   52  0.5279  0.0062  0.0369  0.0370  0.0367  0.03
Kissin 1993   5  0.715  0.072  0.162  0.5113  0.461  0.48
Kushner 1989   4  0.724  0.077  0.118  0.4227  0.298  0.35
Luisada 1991   17  0.6455  0.0028  0.0621  0.2930  0.2420  0.26
Lushtak 2004   55  0.5175  0.0042  0.0443  0.1059  0.0453  0.06
Malcuzynski 1961   10  0.6822  0.0111  0.089  0.4030  0.2116  0.29
Magaloff 1978   3  0.722  0.093  0.213  0.5116  0.412  0.46
Magin 1975   31  0.5940  0.0014  0.0723  0.2915  0.2817  0.28
Michalowski 1933   79  0.3443  0.0079  0.0374  0.0377  0.0369  0.03
Milkina 1970   22  0.6310  0.038  0.105  0.4816  0.404  0.44
Mohovich 1999   14  0.6669  0.0026  0.0720  0.3035  0.1327  0.20
Moravec 1969   51  0.529  0.0333  0.0531  0.2030  0.2126  0.20
Morozova 2008   36  0.5876  0.0045  0.0545  0.0963  0.0452  0.06
Neighaus 1950   20  0.6313  0.0217  0.0816  0.3337  0.1824  0.24
Niedzielski 1931   70  0.4273  0.0036  0.0544  0.1037  0.1632  0.13
Ohlsson 1999   32  0.5937  0.0034  0.0632  0.2045  0.1130  0.15
Osinska 1989   12  0.6768  0.0044  0.0541  0.1048  0.0546  0.07
Pachmann 1927   75  0.3716  0.0260  0.0459  0.0468  0.0462  0.04
Paderewski 1930   53  0.5261  0.0071  0.0380  0.0379  0.0284  0.02
Perlemuter 1992   40  0.5665  0.0055  0.0449  0.0457  0.0460  0.04
Pierdomenico 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   54  0.5284  0.0066  0.0373  0.0359  0.0466  0.03
Rabcewiczowa 1932   26  0.6011  0.0248  0.0448  0.0458  0.0461  0.04
Rachmaninoff 1923   64  0.4645  0.0035  0.0438  0.1449  0.0447  0.07
Rangell 2001   15  0.666  0.0512  0.1012  0.3823  0.2314  0.30
Richter 1976   43  0.5580  0.0041  0.0542  0.1042  0.0844  0.09
Rosen 1989   16  0.6424  0.0124  0.0825  0.2827  0.3313  0.30
Rosenthal 1930   47  0.5481  0.0051  0.0455  0.0442  0.1451  0.07
Rosenthal 1931   50  0.5238  0.0037  0.0435  0.1718  0.3822  0.25
Rosenthal 1931b   57  0.4985  0.0038  0.0437  0.1519  0.3725  0.24
Rosenthal 1931c   56  0.5142  0.0054  0.0457  0.0447  0.0658  0.05
Rosenthal 1931d   45  0.5560  0.0032  0.0530  0.2121  0.3321  0.26
Rossi 2007   48  0.5356  0.0049  0.0450  0.0422  0.2143  0.09
Rubinstein 1939   84  0.2644  0.0072  0.0283  0.0229  0.3045  0.08
Rubinstein 1952   39  0.5666  0.0039  0.0536  0.1523  0.4223  0.25
Rubinstein 1966   58  0.4862  0.0061  0.0547  0.0545  0.1149  0.07
Schilhawsky 1960   63  0.4677  0.0077  0.0371  0.0385  0.0287  0.02
Shebanova 2002   18  0.648  0.0319  0.077  0.4318  0.445  0.43
Smith 1975   8  0.7018  0.0123  0.0827  0.2651  0.0534  0.11
Sokolov 2002   25  0.6039  0.0046  0.0451  0.0447  0.0755  0.05
Sztompka 1959   65  0.4628  0.0074  0.0379  0.0358  0.0563  0.04
Tomsic 1995   23  0.6263  0.0030  0.0533  0.1845  0.0735  0.11
Uninsky 1932   69  0.4312  0.0285  0.0364  0.0373  0.0376  0.03
Uninsky 1971   71  0.4282  0.0084  0.0382  0.0386  0.0285  0.02
Wasowski 1980   67  0.4446  0.0056  0.0456  0.0468  0.0459  0.04
Zak 1937   30  0.5934  0.0016  0.0915  0.3434  0.2119  0.27
Zak 1951   28  0.6070  0.009  0.0810  0.3936  0.2018  0.28
Average   2  0.7323  0.016  0.096  0.4651  0.0431  0.14
Random 1   89  -0.0333  0.0090  0.0190  0.0155  0.0489  0.02
Random 2   91  -0.1390  0.0091  0.0191  0.0186  0.0291  0.01
Random 3   87  0.0054  0.0087  0.0376  0.0342  0.1154  0.06

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).