Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.3944  0.0042  0.0643  0.1319  0.4835  0.25
Anderszewski 2003   47  0.3781  0.0046  0.0553  0.0539  0.2555  0.11
Ashkenazy 1981   13  0.468  0.0318  0.1121  0.4814  0.6114  0.54
Bacha 2000   52  0.3654  0.0034  0.0738  0.2214  0.5330  0.34
Badura 1965   19  0.4320  0.0114  0.0811  0.541  0.716  0.62
Barbosa 1983   8  0.4741  0.0023  0.1017  0.5020  0.4222  0.46
Biret 1990   71  0.3167  0.0070  0.0377  0.0360  0.0583  0.04
Blet 2003   55  0.3556  0.0071  0.0465  0.0449  0.0674  0.05
Block 1995   62  0.3385  0.0063  0.0468  0.0463  0.0482  0.04
Blumental 1952   56  0.3514  0.0164  0.0471  0.0441  0.1469  0.07
Boshniakovich 1969   22  0.4239  0.0019  0.1114  0.5123  0.4223  0.46
Brailowsky 1960   68  0.3173  0.0069  0.0378  0.0336  0.2162  0.08
Bunin 1987   36  0.3919  0.0126  0.0830  0.367  0.5625  0.45
Bunin 1987b   34  0.4027  0.0120  0.0828  0.407  0.5617  0.47
Chiu 1999   3  0.5010  0.035  0.143  0.632  0.693  0.66
Cohen 1997   79  0.2780  0.0083  0.0386  0.0360  0.0487  0.03
Cortot 1951   81  0.2749  0.0081  0.0383  0.0352  0.0684  0.04
Csalog 1996   51  0.3682  0.0056  0.0556  0.0532  0.1758  0.09
Czerny 1949   42  0.3874  0.0048  0.0552  0.0525  0.5342  0.16
Czerny 1990   7  0.474  0.053  0.175  0.6215  0.684  0.65
Duchoud 2007   37  0.3937  0.0029  0.0725  0.429  0.5916  0.50
Ezaki 2006   17  0.4435  0.0024  0.1016  0.5015  0.5715  0.53
Falvay 1989   28  0.4078  0.0032  0.1135  0.2759  0.0550  0.12
Farrell 1958   30  0.4021  0.0145  0.0554  0.0526  0.3246  0.13
Ferenczy 1958   86  0.2172  0.0087  0.0380  0.0361  0.0581  0.04
Fliere 1977   12  0.4612  0.019  0.118  0.5530  0.3626  0.44
Fou 1978   4  0.497  0.044  0.194  0.637  0.655  0.64
Francois 1956   84  0.2568  0.0080  0.0385  0.0373  0.0388  0.03
Friedman 1923   69  0.3155  0.0051  0.0550  0.0537  0.1859  0.09
Friedman 1923b   65  0.3311  0.0250  0.0561  0.0535  0.3247  0.13
Friedman 1930   64  0.3352  0.0062  0.0467  0.0438  0.1366  0.07
Garcia 2007   73  0.3023  0.0140  0.0641  0.1721  0.3934  0.26
Garcia 2007b   60  0.3363  0.0043  0.0742  0.1422  0.4536  0.25
Gierzod 1998   24  0.4230  0.0025  0.0924  0.4320  0.4328  0.43
Gornostaeva 1994   44  0.3731  0.0060  0.0557  0.0549  0.0772  0.06
Groot 1988   26  0.4118  0.0116  0.1023  0.4714  0.4719  0.47
Harasiewicz 1955   18  0.4426  0.0136  0.0831  0.3457  0.0548  0.13
Hatto 1993   33  0.4048  0.0033  0.0733  0.3041  0.1639  0.22
Hatto 1997   50  0.3675  0.0047  0.0555  0.0577  0.0480  0.04
Horowitz 1949   76  0.2938  0.0077  0.0647  0.0640  0.2054  0.11
Indjic 1988   39  0.3869  0.0035  0.0834  0.2838  0.2138  0.24
Kapell 1951   25  0.4216  0.0115  0.1013  0.5317  0.4020  0.46
Kissin 1993   20  0.4362  0.0028  0.1029  0.3922  0.5421  0.46
Kushner 1989   1  0.531  0.381  0.381  0.707  0.662  0.68
Luisada 1991   27  0.4124  0.0138  0.0839  0.1824  0.3137  0.24
Lushtak 2004   40  0.3817  0.0161  0.0563  0.0539  0.1068  0.07
Malcuzynski 1961   10  0.475  0.056  0.156  0.5915  0.5211  0.55
Magaloff 1978   21  0.4370  0.0027  0.0926  0.4217  0.4427  0.43
Magin 1975   45  0.3761  0.0054  0.0558  0.0540  0.1957  0.10
Michalowski 1933   77  0.2966  0.0058  0.0551  0.0512  0.4743  0.15
Milkina 1970   14  0.4522  0.0113  0.089  0.5515  0.599  0.57
Mohovich 1999   61  0.3371  0.0057  0.0646  0.0665  0.0475  0.05
Moravec 1969   49  0.3660  0.0049  0.0560  0.0558  0.0573  0.05
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   41  0.3865  0.0052  0.0649  0.0631  0.2551  0.12
Niedzielski 1931   82  0.2542  0.0084  0.0384  0.0381  0.0385  0.03
Ohlsson 1999   23  0.4232  0.0021  0.0820  0.4915  0.4124  0.45
Osinska 1989   43  0.3729  0.0130  0.0827  0.4033  0.2931  0.34
Pachmann 1927   70  0.3151  0.0076  0.0562  0.0543  0.1263  0.08
Paderewski 1930   85  0.2490  0.0085  0.0472  0.0474  0.0386  0.03
Perlemuter 1992   57  0.3457  0.0068  0.0376  0.0335  0.2061  0.08
Pierdomenico 2008   72  0.3043  0.0065  0.0470  0.0428  0.3253  0.11
Poblocka 1999   16  0.4513  0.0117  0.1119  0.4910  0.6013  0.54
Rabcewiczowa 1932   59  0.3477  0.0059  0.0648  0.0651  0.0671  0.06
Rachmaninoff 1923   53  0.3558  0.0044  0.0544  0.1032  0.3041  0.17
Rangell 2001   38  0.3833  0.0037  0.0836  0.2614  0.5429  0.37
Richter 1976   2  0.513  0.072  0.212  0.657  0.751  0.70
Rosen 1989   29  0.4036  0.0031  0.1032  0.3224  0.3033  0.31
Rosenthal 1930   67  0.3250  0.0075  0.0464  0.0434  0.3156  0.11
Rosenthal 1931   63  0.3383  0.0072  0.0473  0.0422  0.5045  0.14
Rosenthal 1931b   80  0.2747  0.0079  0.0559  0.0534  0.3052  0.12
Rosenthal 1931c   66  0.3228  0.0166  0.0475  0.0437  0.1864  0.08
Rosenthal 1931d   83  0.2553  0.0078  0.0379  0.0338  0.1570  0.07
Rossi 2007   87  0.1787  0.0086  0.0382  0.0358  0.0577  0.04
Rubinstein 1939   9  0.4725  0.0110  0.097  0.568  0.588  0.57
Rubinstein 1952   48  0.3615  0.0139  0.0937  0.2544  0.1640  0.20
Rubinstein 1966   11  0.4640  0.0022  0.0822  0.4829  0.2332  0.33
Schilhawsky 1960   58  0.3434  0.0067  0.0381  0.0336  0.1565  0.07
Shebanova 2002   6  0.482  0.077  0.1118  0.5024  0.4518  0.47
Smith 1975   78  0.2888  0.0082  0.0287  0.0276  0.0389  0.02
Sokolov 2002   54  0.3576  0.0055  0.0474  0.0430  0.3749  0.12
Sztompka 1959   5  0.489  0.038  0.1312  0.5413  0.6010  0.57
Tomsic 1995   31  0.406  0.0411  0.0815  0.514  0.5912  0.55
Uninsky 1932   15  0.4546  0.0012  0.0810  0.5510  0.657  0.60
Uninsky 1971   32  0.4064  0.0041  0.0640  0.1744  0.1344  0.15
Wasowski 1980   46  0.3745  0.0053  0.0645  0.0640  0.1260  0.08
Zak 1937   75  0.2984  0.0073  0.0469  0.0462  0.0578  0.04
Zak 1951   74  0.2989  0.0074  0.0466  0.0473  0.0479  0.04
Random 1   89  -0.0479  0.0090  0.0190  0.0160  0.0390  0.02
Random 2   88  0.0659  0.0088  0.0288  0.0224  0.2767  0.07
Random 3   90  -0.0486  0.0089  0.0189  0.0124  0.2776  0.05

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).