Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   11  0.7818  0.0120  0.0920  0.3618  0.3324  0.34
Anderszewski 2003   75  0.4240  0.0080  0.0364  0.0347  0.0481  0.03
Ashkenazy 1981   71  0.5170  0.0075  0.0461  0.0456  0.0470  0.04
Bacha 2000   51  0.6152  0.0066  0.0374  0.0338  0.1456  0.06
Badura 1965   70  0.5244  0.0055  0.0551  0.0544  0.1155  0.07
Barbosa 1983   40  0.6535  0.0026  0.0922  0.323  0.5217  0.41
Biret 1990   54  0.6146  0.0070  0.0287  0.0277  0.0389  0.02
Blet 2003   36  0.6768  0.0051  0.0456  0.0461  0.0466  0.04
Block 1995   30  0.6861  0.0043  0.0441  0.1218  0.3037  0.19
Blumental 1952   85  0.2248  0.0073  0.0383  0.0387  0.0288  0.02
Boshniakovich 1969   42  0.6578  0.0036  0.0538  0.1612  0.3735  0.24
Brailowsky 1960   21  0.7217  0.0130  0.0625  0.255  0.4923  0.35
Bunin 1987   29  0.6954  0.0037  0.0428  0.2419  0.3927  0.31
Bunin 1987b   28  0.6962  0.0038  0.0729  0.2419  0.3828  0.30
Chiu 1999   72  0.5174  0.0034  0.0639  0.1328  0.2538  0.18
Cohen 1997   76  0.3491  0.0082  0.0370  0.0346  0.0671  0.04
Cortot 1951   68  0.5345  0.0072  0.0380  0.0359  0.0574  0.04
Csalog 1996   55  0.6059  0.0058  0.0369  0.0335  0.2450  0.08
Czerny 1949   48  0.6358  0.0039  0.0543  0.1156  0.0554  0.07
Czerny 1990   15  0.7449  0.0027  0.0927  0.2443  0.1140  0.16
Duchoud 2007   60  0.5932  0.0077  0.0372  0.0353  0.0483  0.03
Ezaki 2006   13  0.7637  0.0022  0.0921  0.3623  0.2826  0.32
Falvay 1989   4  0.843  0.093  0.182  0.643  0.611  0.62
Farrell 1958   32  0.6863  0.0057  0.0367  0.0318  0.2646  0.09
Ferenczy 1958   52  0.6120  0.0164  0.0366  0.0336  0.2351  0.08
Fliere 1977   8  0.807  0.0414  0.088  0.4913  0.3914  0.44
Fou 1978   19  0.7328  0.0017  0.0710  0.4613  0.4611  0.46
Francois 1956   6  0.8213  0.017  0.106  0.506  0.544  0.52
Friedman 1923   88  0.0155  0.0088  0.0288  0.0268  0.0586  0.03
Friedman 1923b   87  0.0238  0.0087  0.0384  0.0359  0.0572  0.04
Friedman 1930   83  0.2385  0.0069  0.0378  0.0337  0.1753  0.07
Garcia 2007   77  0.3360  0.0078  0.0463  0.0456  0.0468  0.04
Garcia 2007b   86  0.0930  0.0085  0.0386  0.0367  0.0385  0.03
Gierzod 1998   49  0.6350  0.0042  0.0445  0.0850  0.0460  0.06
Gornostaeva 1994   10  0.7826  0.0015  0.0713  0.4215  0.3619  0.39
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   63  0.5725  0.009  0.0916  0.4017  0.3420  0.37
Hatto 1993   84  0.2283  0.0084  0.0462  0.0454  0.0384  0.03
Hatto 1997   78  0.3267  0.0081  0.0455  0.0472  0.0382  0.03
Horowitz 1949   23  0.7115  0.0112  0.0715  0.405  0.5112  0.45
Indjic 1988   81  0.2671  0.0083  0.0381  0.0383  0.0287  0.02
Kapell 1951   41  0.6582  0.0067  0.0365  0.0347  0.0663  0.04
Kissin 1993   14  0.7429  0.0023  0.1117  0.3918  0.4118  0.40
Kushner 1989   20  0.7286  0.0044  0.0540  0.1341  0.1642  0.14
Luisada 1991   69  0.5239  0.0079  0.0373  0.0366  0.0476  0.03
Lushtak 2004   53  0.6184  0.0049  0.0646  0.0642  0.1252  0.08
Malcuzynski 1961   3  0.8542  0.008  0.097  0.5012  0.459  0.47
Magaloff 1978   7  0.814  0.084  0.144  0.519  0.466  0.48
Magin 1975   74  0.4834  0.0053  0.0458  0.0461  0.0378  0.03
Michalowski 1933   82  0.2436  0.0068  0.0382  0.0365  0.0480  0.03
Milkina 1970   9  0.799  0.0221  0.1119  0.379  0.4516  0.41
Mohovich 1999   1  0.861  0.251  0.243  0.644  0.582  0.61
Moravec 1969   38  0.6657  0.0065  0.0377  0.0353  0.0475  0.03
Morozova 2008   66  0.5631  0.0032  0.0532  0.1925  0.1839  0.18
Neighaus 1950   12  0.7656  0.0016  0.089  0.4819  0.4313  0.45
Niedzielski 1931   67  0.5566  0.0071  0.0385  0.0365  0.0377  0.03
Ohlsson 1999   62  0.5851  0.0074  0.0460  0.0476  0.0379  0.03
Osinska 1989   26  0.6972  0.0046  0.0549  0.0538  0.1645  0.09
Pachmann 1927   33  0.6865  0.0019  0.0818  0.383  0.607  0.48
Paderewski 1930   46  0.6443  0.0062  0.0376  0.0347  0.0664  0.04
Perlemuter 1992   17  0.7312  0.0211  0.0711  0.463  0.565  0.51
Pierdomenico 2008   50  0.6287  0.0047  0.0548  0.0528  0.2343  0.11
Poblocka 1999   31  0.6827  0.0056  0.0453  0.0462  0.0461  0.04
Rabcewiczowa 1932   61  0.5988  0.0063  0.0368  0.0343  0.1159  0.06
Rachmaninoff 1923   56  0.6019  0.0133  0.0733  0.1927  0.2436  0.21
Rangell 2001   44  0.6581  0.0054  0.0454  0.0457  0.0573  0.04
Richter 1976   25  0.7024  0.0029  0.0531  0.2116  0.3333  0.26
Rosen 1989   34  0.6841  0.0048  0.0550  0.0536  0.2444  0.11
Rosenthal 1930   45  0.645  0.065  0.1030  0.2312  0.4825  0.33
Rosenthal 1931   58  0.6073  0.0018  0.0926  0.256  0.5221  0.36
Rosenthal 1931b   65  0.5676  0.0031  0.0534  0.1710  0.4332  0.27
Rosenthal 1931c   37  0.6753  0.0041  0.0635  0.1710  0.4830  0.29
Rosenthal 1931d   43  0.6579  0.0040  0.0437  0.168  0.4531  0.27
Rossi 2007   80  0.2880  0.0076  0.0371  0.0336  0.1257  0.06
Rubinstein 1939   79  0.3133  0.0086  0.0379  0.0343  0.1258  0.06
Rubinstein 1952   18  0.7322  0.0025  0.0924  0.2716  0.4822  0.36
Rubinstein 1966   24  0.7023  0.0028  0.0736  0.177  0.5329  0.30
Schilhawsky 1960   35  0.6769  0.0045  0.0642  0.1136  0.2041  0.15
Shebanova 2002   47  0.6414  0.0135  0.0644  0.1047  0.0847  0.09
Smith 1975   27  0.6964  0.0024  0.1123  0.3032  0.2034  0.24
Sokolov 2002   39  0.6675  0.0050  0.0547  0.0559  0.0462  0.04
Sztompka 1959   64  0.5710  0.0261  0.0375  0.0352  0.0665  0.04
Tomsic 1995   5  0.838  0.036  0.105  0.506  0.543  0.52
Uninsky 1932   73  0.5047  0.0060  0.0459  0.0459  0.0567  0.04
Uninsky 1971   57  0.6021  0.0152  0.0457  0.0445  0.1549  0.08
Wasowski 1980   59  0.5916  0.0159  0.0552  0.0533  0.1448  0.08
Zak 1937   22  0.7111  0.0213  0.0814  0.4011  0.4415  0.42
Zak 1951   16  0.746  0.0410  0.0812  0.469  0.4810  0.47
Average   2  0.852  0.182  0.191  0.6616  0.358  0.48
Random 1   90  -0.1077  0.0089  0.0189  0.0137  0.1869  0.04
Random 2   91  -0.1089  0.0090  0.0190  0.0175  0.0290  0.01
Random 3   89  -0.0690  0.0091  0.0191  0.0184  0.0291  0.01

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).