Morozova 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.4568  0.0017  0.0915  0.4711  0.5814  0.52
Anderszewski 2003   71  0.2740  0.0079  0.0379  0.0365  0.0487  0.03
Ashkenazy 1981   5  0.496  0.043  0.174  0.6918  0.692  0.69
Bacha 2000   43  0.3510  0.0216  0.0834  0.2010  0.5529  0.33
Badura 1965   47  0.3475  0.0057  0.0555  0.0521  0.4849  0.15
Barbosa 1983   15  0.4361  0.0041  0.0544  0.0930  0.3243  0.17
Biret 1990   83  0.2185  0.0083  0.0380  0.0356  0.0584  0.04
Blet 2003   37  0.3635  0.0059  0.0477  0.0446  0.0971  0.06
Block 1995   42  0.3584  0.0050  0.0559  0.0543  0.1364  0.08
Blumental 1952   48  0.3419  0.0149  0.0558  0.0527  0.3553  0.13
Boshniakovich 1969   55  0.3252  0.0046  0.0553  0.0533  0.3254  0.13
Brailowsky 1960   46  0.3463  0.0043  0.0538  0.1312  0.6033  0.28
Bunin 1987   39  0.3650  0.0026  0.1523  0.3521  0.4724  0.41
Bunin 1987b   38  0.3651  0.0025  0.1122  0.3521  0.4625  0.40
Chiu 1999   1  0.571  0.291  0.282  0.719  0.691  0.70
Cohen 1997   66  0.2857  0.0075  0.0469  0.0450  0.0678  0.05
Cortot 1951   73  0.2566  0.0081  0.0382  0.0346  0.0685  0.04
Csalog 1996   51  0.3353  0.0056  0.0468  0.0433  0.2659  0.10
Czerny 1949   85  0.1841  0.0082  0.0381  0.0342  0.1767  0.07
Czerny 1990   13  0.4411  0.028  0.168  0.6112  0.764  0.68
Duchoud 2007   25  0.4029  0.0028  0.0921  0.3816  0.5222  0.44
Ezaki 2006   12  0.4480  0.0019  0.0624  0.3511  0.6617  0.48
Falvay 1989   34  0.3723  0.0018  0.0728  0.3020  0.3730  0.33
Farrell 1958   40  0.3644  0.0063  0.0556  0.0524  0.3951  0.14
Ferenczy 1958   86  0.1581  0.0087  0.0384  0.0360  0.0683  0.04
Fliere 1977   6  0.499  0.036  0.173  0.7122  0.635  0.67
Fou 1978   3  0.525  0.057  0.196  0.642  0.696  0.66
Francois 1956   84  0.1937  0.0080  0.0385  0.0363  0.0488  0.03
Friedman 1923   19  0.4276  0.0023  0.0918  0.4227  0.5120  0.46
Friedman 1923b   23  0.4116  0.0122  0.0719  0.4232  0.5019  0.46
Friedman 1930   20  0.4242  0.0024  0.1020  0.4128  0.5318  0.47
Garcia 2007   74  0.2518  0.0151  0.0554  0.0538  0.2457  0.11
Garcia 2007b   62  0.3046  0.0039  0.0543  0.1034  0.3141  0.18
Gierzod 1998   59  0.3139  0.0047  0.0648  0.0623  0.4445  0.16
Gornostaeva 1994   58  0.3225  0.0055  0.0474  0.0431  0.3556  0.12
Groot 1988   10  0.444  0.065  0.145  0.6511  0.569  0.60
Harasiewicz 1955   26  0.4026  0.0053  0.0471  0.0452  0.0679  0.05
Hatto 1993   24  0.4127  0.0030  0.0930  0.2829  0.3232  0.30
Hatto 1997   50  0.3367  0.0067  0.0562  0.0555  0.0675  0.05
Horowitz 1949   53  0.3317  0.0142  0.0540  0.1331  0.4038  0.23
Indjic 1988   33  0.3756  0.0036  0.0635  0.2030  0.3536  0.26
Kapell 1951   54  0.3262  0.0045  0.0746  0.0744  0.0962  0.08
Kissin 1993   41  0.3572  0.0037  0.0639  0.1336  0.4139  0.23
Kushner 1989   4  0.5030  0.0012  0.149  0.597  0.668  0.62
Luisada 1991   11  0.4445  0.0014  0.1411  0.5316  0.5911  0.56
Lushtak 2004   49  0.3420  0.0165  0.0560  0.0539  0.1263  0.08
Malcuzynski 1961   21  0.4215  0.0120  0.0725  0.3422  0.4327  0.38
Magaloff 1978   31  0.3959  0.0029  0.0827  0.3322  0.4626  0.39
Magin 1975   69  0.2743  0.0073  0.0650  0.0650  0.0865  0.07
Michalowski 1933   64  0.2970  0.0052  0.0745  0.0738  0.2852  0.14
Milkina 1970   65  0.2848  0.0071  0.0652  0.0642  0.1758  0.10
Mohovich 1999   67  0.2886  0.0066  0.0467  0.0453  0.0676  0.05
Moravec 1969   44  0.3538  0.0033  0.0636  0.1825  0.3337  0.24
Morozova 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Neighaus 1950   30  0.3924  0.0027  0.1316  0.4528  0.3228  0.38
Niedzielski 1931   35  0.3713  0.0135  0.0732  0.2528  0.3234  0.28
Ohlsson 1999   29  0.3914  0.0134  0.0533  0.2239  0.1144  0.16
Osinska 1989   78  0.2382  0.0072  0.0561  0.0545  0.0869  0.06
Pachmann 1927   57  0.3258  0.0061  0.0565  0.0542  0.1561  0.09
Paderewski 1930   75  0.2560  0.0076  0.0473  0.0455  0.0674  0.05
Perlemuter 1992   32  0.3828  0.0021  0.0726  0.3321  0.5821  0.44
Pierdomenico 2008   70  0.2773  0.0068  0.0647  0.0631  0.2555  0.12
Poblocka 1999   18  0.427  0.0413  0.1313  0.524  0.6310  0.57
Rabcewiczowa 1932   76  0.2487  0.0078  0.0563  0.0547  0.0870  0.06
Rachmaninoff 1923   22  0.4221  0.0111  0.1317  0.4319  0.5516  0.49
Rangell 2001   60  0.3183  0.0058  0.0476  0.0431  0.2760  0.10
Richter 1976   7  0.4833  0.009  0.117  0.6225  0.687  0.65
Rosen 1989   17  0.428  0.0310  0.1214  0.5217  0.5712  0.54
Rosenthal 1930   28  0.4049  0.0032  0.1329  0.3013  0.6023  0.42
Rosenthal 1931   45  0.3464  0.0054  0.0470  0.0422  0.5748  0.15
Rosenthal 1931b   63  0.2954  0.0064  0.0564  0.0521  0.5347  0.16
Rosenthal 1931c   52  0.3312  0.0138  0.0537  0.1525  0.4735  0.27
Rosenthal 1931d   82  0.2134  0.0070  0.0649  0.0625  0.4146  0.16
Rossi 2007   88  0.0088  0.0088  0.0189  0.0177  0.0389  0.02
Rubinstein 1939   16  0.4336  0.0031  0.0931  0.2711  0.4031  0.33
Rubinstein 1952   72  0.2665  0.0069  0.0472  0.0450  0.0680  0.05
Rubinstein 1966   27  0.4031  0.0048  0.0566  0.0541  0.1066  0.07
Schilhawsky 1960   77  0.2477  0.0084  0.0383  0.0363  0.0582  0.04
Shebanova 2002   2  0.522  0.202  0.211  0.7119  0.653  0.68
Smith 1975   79  0.2255  0.0085  0.0287  0.0259  0.0586  0.03
Sokolov 2002   68  0.2847  0.0062  0.0651  0.0629  0.3350  0.14
Sztompka 1959   8  0.473  0.084  0.1312  0.5219  0.5213  0.52
Tomsic 1995   56  0.3222  0.0140  0.0541  0.1323  0.3040  0.20
Uninsky 1932   14  0.4332  0.0015  0.1010  0.5419  0.4615  0.50
Uninsky 1971   36  0.3778  0.0044  0.0642  0.1235  0.2342  0.17
Wasowski 1980   61  0.3069  0.0060  0.0478  0.0456  0.0672  0.05
Zak 1937   80  0.2279  0.0074  0.0557  0.0563  0.0573  0.05
Zak 1951   81  0.2289  0.0077  0.0475  0.0453  0.0581  0.04
Random 1   89  -0.0171  0.0089  0.0188  0.0164  0.0490  0.02
Random 2   87  0.0990  0.0086  0.0286  0.0228  0.2768  0.07
Random 3   90  -0.0574  0.0090  0.0190  0.0128  0.2177  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).