Rossi 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.3728  0.0046  0.0553  0.0549  0.0551  0.05
Anderszewski 2003   59  0.2856  0.0053  0.0551  0.0577  0.0359  0.04
Ashkenazy 1981   46  0.3335  0.0066  0.0645  0.0651  0.0452  0.05
Bacha 2000   51  0.3283  0.0055  0.0466  0.0479  0.0369  0.03
Badura 1965   66  0.2543  0.0060  0.0462  0.0469  0.0378  0.03
Barbosa 1983   65  0.2661  0.0054  0.0560  0.0579  0.0358  0.04
Biret 1990   52  0.3148  0.0041  0.0537  0.1568  0.0440  0.08
Blet 2003   53  0.3149  0.0063  0.0557  0.0579  0.0360  0.04
Block 1995   79  0.1924  0.0037  0.0543  0.1077  0.0449  0.06
Blumental 1952   68  0.2584  0.0075  0.0465  0.0471  0.0566  0.04
Boshniakovich 1969   21  0.3955  0.0023  0.0821  0.4064  0.0428  0.13
Brailowsky 1960   87  0.0785  0.0088  0.0289  0.0287  0.0188  0.01
Bunin 1987   48  0.3368  0.0051  0.0647  0.0656  0.0553  0.05
Bunin 1987b   45  0.3440  0.0050  0.0552  0.0564  0.0455  0.04
Chiu 1999   26  0.3851  0.0034  0.0930  0.2664  0.0531  0.11
Cohen 1997   31  0.3731  0.0025  0.0632  0.2321  0.2710  0.25
Cortot 1951   81  0.1863  0.0078  0.0284  0.0262  0.0483  0.03
Csalog 1996   25  0.3812  0.019  0.1410  0.4844  0.1112  0.23
Czerny 1949   10  0.4230  0.0021  0.1011  0.4746  0.0815  0.19
Czerny 1990   44  0.3423  0.0052  0.0559  0.0566  0.0467  0.04
Duchoud 2007   40  0.3425  0.0036  0.0635  0.1926  0.449  0.29
Ezaki 2006   29  0.3721  0.0130  0.0827  0.2967  0.0529  0.12
Falvay 1989   23  0.398  0.0212  0.1019  0.4177  0.0425  0.13
Farrell 1958   36  0.3611  0.017  0.107  0.5338  0.247  0.36
Ferenczy 1958   60  0.2769  0.0072  0.0376  0.0369  0.0477  0.03
Fliere 1977   14  0.4278  0.0017  0.0920  0.4070  0.0523  0.14
Fou 1978   15  0.4115  0.0113  0.0923  0.3557  0.0526  0.13
Francois 1956   49  0.3316  0.0139  0.0440  0.1253  0.0541  0.08
Friedman 1923   83  0.1781  0.0080  0.0383  0.0382  0.0385  0.03
Friedman 1923b   82  0.1874  0.0081  0.0373  0.0383  0.0379  0.03
Friedman 1930   75  0.2262  0.0076  0.0555  0.0568  0.0461  0.04
Garcia 2007   1  0.501  0.331  0.331  0.712  0.741  0.72
Garcia 2007b   2  0.502  0.272  0.412  0.7011  0.582  0.64
Gierzod 1998   4  0.4838  0.004  0.095  0.5464  0.0422  0.15
Gornostaeva 1994   16  0.4146  0.0029  0.0726  0.3060  0.0434  0.11
Groot 1988   74  0.2286  0.0070  0.0374  0.0384  0.0381  0.03
Harasiewicz 1955   34  0.3754  0.0031  0.0633  0.2360  0.0535  0.11
Hatto 1993   71  0.2465  0.0064  0.0558  0.0563  0.0468  0.04
Hatto 1997   63  0.2775  0.0056  0.0467  0.0461  0.0462  0.04
Horowitz 1949   86  0.1070  0.0087  0.0288  0.0287  0.0286  0.02
Indjic 1988   64  0.2652  0.0059  0.0468  0.0462  0.0457  0.04
Kapell 1951   7  0.4334  0.006  0.106  0.5444  0.1111  0.24
Kissin 1993   24  0.3857  0.0033  0.0825  0.3251  0.0819  0.16
Kushner 1989   22  0.3920  0.0127  0.0722  0.3974  0.0430  0.12
Luisada 1991   61  0.2787  0.0074  0.0472  0.0467  0.0454  0.04
Lushtak 2004   62  0.2753  0.0057  0.0470  0.0471  0.0464  0.04
Malcuzynski 1961   11  0.429  0.028  0.139  0.5056  0.0617  0.17
Magaloff 1978   56  0.3033  0.0068  0.0463  0.0485  0.0273  0.03
Magin 1975   27  0.3864  0.0038  0.0536  0.1586  0.0342  0.07
Michalowski 1933   67  0.2519  0.0161  0.0464  0.0427  0.2637  0.10
Milkina 1970   17  0.4127  0.0026  0.0713  0.4570  0.0520  0.15
Mohovich 1999   55  0.3047  0.0042  0.0444  0.1052  0.0545  0.07
Moravec 1969   54  0.3079  0.0071  0.0381  0.0379  0.0370  0.03
Morozova 2008   38  0.3571  0.0040  0.0539  0.1267  0.0539  0.08
Neighaus 1950   69  0.2460  0.0073  0.0377  0.0376  0.0382  0.03
Niedzielski 1931   58  0.2810  0.0124  0.0738  0.1443  0.0932  0.11
Ohlsson 1999   47  0.3314  0.0120  0.0828  0.2970  0.0433  0.11
Osinska 1989   8  0.4317  0.0114  0.0912  0.4759  0.0616  0.17
Pachmann 1927   42  0.3422  0.0048  0.0648  0.0633  0.3027  0.13
Paderewski 1930   28  0.387  0.0315  0.0824  0.335  0.595  0.44
Perlemuter 1992   12  0.426  0.0316  0.0716  0.4421  0.406  0.42
Pierdomenico 2008   3  0.495  0.033  0.133  0.553  0.653  0.60
Poblocka 1999   80  0.1829  0.0082  0.0382  0.0382  0.0371  0.03
Rabcewiczowa 1932   33  0.3772  0.0032  0.0729  0.2767  0.0436  0.10
Rachmaninoff 1923   84  0.1632  0.0067  0.0469  0.0479  0.0374  0.03
Rangell 2001   5  0.4426  0.005  0.114  0.5422  0.444  0.49
Richter 1976   39  0.3580  0.0049  0.0646  0.0678  0.0356  0.04
Rosen 1989   19  0.4039  0.0045  0.0556  0.0572  0.0465  0.04
Rosenthal 1930   85  0.1676  0.0085  0.0285  0.0288  0.0189  0.01
Rosenthal 1931   77  0.2188  0.0084  0.0471  0.0477  0.0376  0.03
Rosenthal 1931b   73  0.2273  0.0083  0.0378  0.0379  0.0384  0.03
Rosenthal 1931c   70  0.2489  0.0077  0.0380  0.0384  0.0287  0.02
Rosenthal 1931d   76  0.2190  0.0069  0.0375  0.0378  0.0380  0.03
Rossi 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   43  0.3437  0.0028  0.0734  0.2172  0.0438  0.09
Rubinstein 1952   13  0.423  0.0511  0.148  0.5166  0.0424  0.14
Rubinstein 1966   9  0.4241  0.0022  0.1014  0.4560  0.0521  0.15
Schilhawsky 1960   35  0.3666  0.0047  0.0649  0.0656  0.0450  0.05
Shebanova 2002   50  0.3258  0.0065  0.0561  0.0581  0.0463  0.04
Smith 1975   78  0.2044  0.0079  0.0379  0.0378  0.0375  0.03
Sokolov 2002   72  0.2345  0.0058  0.0554  0.0585  0.0272  0.03
Sztompka 1959   37  0.3550  0.0043  0.0441  0.1171  0.0443  0.07
Tomsic 1995   6  0.444  0.0410  0.1318  0.4232  0.258  0.32
Uninsky 1932   41  0.3436  0.0035  0.0831  0.2436  0.2313  0.23
Uninsky 1971   30  0.3759  0.0044  0.0642  0.1169  0.0444  0.07
Wasowski 1980   57  0.2982  0.0062  0.0650  0.0659  0.0647  0.06
Zak 1937   18  0.4142  0.0019  0.0917  0.4446  0.0618  0.16
Zak 1951   20  0.4018  0.0118  0.0715  0.4442  0.0914  0.20
Random 1   90  -0.1777  0.0090  0.0190  0.0190  0.0190  0.01
Random 2   89  -0.0467  0.0089  0.0286  0.0234  0.1648  0.06
Random 3   88  -0.0213  0.0186  0.0287  0.0223  0.2746  0.07

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).