Random 1

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  -0.2554  0.0068  0.0360  0.0389  0.0164  0.02
Anderszewski 2003   51  -0.2315  0.0124  0.0829  0.2089  0.0132  0.04
Ashkenazy 1981   86  -0.3389  0.0086  0.0284  0.0290  0.0190  0.01
Bacha 2000   84  -0.3229  0.0076  0.0374  0.0390  0.0150  0.02
Badura 1965   11  -0.1018  0.0017  0.0814  0.4289  0.0121  0.06
Barbosa 1983   10  -0.097  0.0216  0.0823  0.2490  0.0125  0.05
Biret 1990   59  -0.2513  0.0155  0.0450  0.0489  0.0169  0.02
Blet 2003   15  -0.1325  0.0030  0.0725  0.2388  0.0216  0.07
Block 1995   21  -0.166  0.0212  0.0822  0.2589  0.0126  0.05
Blumental 1952   77  -0.2865  0.0085  0.0375  0.0390  0.0166  0.02
Boshniakovich 1969   52  -0.2359  0.0028  0.0831  0.1888  0.0134  0.04
Brailowsky 1960   89  -0.3669  0.0090  0.0190  0.0190  0.0178  0.01
Bunin 1987   2  0.0110  0.014  0.272  0.5679  0.025  0.11
Bunin 1987b   3  0.0152  0.005  0.263  0.5687  0.024  0.11
Chiu 1999   80  -0.3036  0.0087  0.0286  0.0290  0.0180  0.01
Cohen 1997   39  -0.2148  0.0029  0.0635  0.1590  0.0135  0.04
Cortot 1951   8  -0.079  0.017  0.186  0.5388  0.029  0.10
Csalog 1996   16  -0.1472  0.0015  0.1019  0.2889  0.0215  0.07
Czerny 1949   6  -0.0646  0.0010  0.088  0.4888  0.027  0.10
Czerny 1990   47  -0.2233  0.0070  0.0372  0.0389  0.0168  0.02
Duchoud 2007   28  -0.1861  0.0020  0.0613  0.4290  0.0120  0.06
Ezaki 2006   53  -0.2355  0.0044  0.0641  0.1189  0.0138  0.03
Falvay 1989   78  -0.2987  0.0073  0.0276  0.0290  0.0181  0.01
Farrell 1958   65  -0.2540  0.0071  0.0364  0.0390  0.0156  0.02
Ferenczy 1958   25  -0.172  0.212  0.2117  0.2989  0.0213  0.08
Fliere 1977   50  -0.2366  0.0065  0.0280  0.0289  0.0177  0.01
Fou 1978   62  -0.2556  0.0035  0.0544  0.0890  0.0143  0.03
Francois 1956   57  -0.2484  0.0075  0.0369  0.0390  0.0174  0.02
Friedman 1923   63  -0.2531  0.0042  0.0436  0.1489  0.0137  0.04
Friedman 1923b   64  -0.2520  0.0043  0.0637  0.1389  0.0136  0.04
Friedman 1930   67  -0.2534  0.0036  0.0432  0.1789  0.0219  0.06
Garcia 2007   74  -0.2722  0.0059  0.0361  0.0389  0.0165  0.02
Garcia 2007b   79  -0.2923  0.0069  0.0362  0.0388  0.0175  0.02
Gierzod 1998   31  -0.1873  0.0048  0.0458  0.0489  0.0247  0.03
Gornostaeva 1994   45  -0.2247  0.0037  0.0442  0.1089  0.0148  0.03
Groot 1988   40  -0.2157  0.0038  0.0440  0.1189  0.0149  0.03
Harasiewicz 1955   19  -0.1583  0.0021  0.0818  0.2889  0.0128  0.05
Hatto 1993   58  -0.2475  0.0078  0.0370  0.0389  0.0272  0.02
Hatto 1997   61  -0.2578  0.0080  0.0366  0.0389  0.0162  0.02
Horowitz 1949   20  -0.1514  0.0122  0.0715  0.3189  0.0118  0.06
Indjic 1988   60  -0.2567  0.0079  0.0368  0.0389  0.0260  0.02
Kapell 1951   29  -0.1862  0.0033  0.0626  0.2288  0.0124  0.05
Kissin 1993   43  -0.2288  0.0058  0.0456  0.0489  0.0246  0.03
Kushner 1989   76  -0.2827  0.0081  0.0282  0.0290  0.0184  0.01
Luisada 1991   87  -0.3453  0.0088  0.0188  0.0190  0.0176  0.01
Lushtak 2004   68  -0.2570  0.0062  0.0277  0.0290  0.0188  0.01
Malcuzynski 1961   13  -0.128  0.029  0.1112  0.4288  0.0210  0.09
Magaloff 1978   55  -0.2363  0.0072  0.0363  0.0389  0.0253  0.02
Magin 1975   81  -0.3164  0.0066  0.0373  0.0390  0.0154  0.02
Michalowski 1933   48  -0.2332  0.0053  0.0449  0.0490  0.0159  0.02
Milkina 1970   37  -0.2041  0.0034  0.0534  0.1689  0.0130  0.04
Mohovich 1999   36  -0.1979  0.0051  0.0457  0.0489  0.0167  0.02
Moravec 1969   17  -0.1450  0.0019  0.1027  0.2288  0.0122  0.05
Morozova 2008   70  -0.2660  0.0064  0.0281  0.0289  0.0187  0.01
Neighaus 1950   75  -0.2785  0.0077  0.0371  0.0390  0.0171  0.02
Niedzielski 1931   34  -0.1835  0.0046  0.0646  0.0688  0.0242  0.03
Ohlsson 1999   71  -0.2680  0.0050  0.0452  0.0490  0.0158  0.02
Osinska 1989   54  -0.2344  0.0047  0.0645  0.0689  0.0152  0.02
Pachmann 1927   42  -0.2211  0.0127  0.0733  0.1690  0.0131  0.04
Paderewski 1930   82  -0.3139  0.0074  0.0279  0.0290  0.0185  0.01
Perlemuter 1992   33  -0.1874  0.0052  0.0454  0.0489  0.0151  0.02
Pierdomenico 2008   90  -0.3742  0.0089  0.0189  0.0190  0.0183  0.01
Poblocka 1999   18  -0.1458  0.0039  0.0443  0.0989  0.0139  0.03
Rabcewiczowa 1932   73  -0.2749  0.0054  0.0547  0.0589  0.0155  0.02
Rachmaninoff 1923   44  -0.2268  0.0049  0.0453  0.0489  0.0240  0.03
Rangell 2001   38  -0.2116  0.0123  0.0821  0.2689  0.0127  0.05
Richter 1976   5  -0.033  0.116  0.285  0.5572  0.033  0.13
Rosen 1989   88  -0.3512  0.0182  0.0287  0.0290  0.0189  0.01
Rosenthal 1930   14  -0.1324  0.0011  0.089  0.4788  0.028  0.10
Rosenthal 1931   49  -0.2381  0.0057  0.0455  0.0489  0.0161  0.02
Rosenthal 1931b   46  -0.2276  0.0056  0.0451  0.0489  0.0173  0.02
Rosenthal 1931c   35  -0.1945  0.0026  0.0724  0.2389  0.0217  0.07
Rosenthal 1931d   56  -0.2471  0.0060  0.0359  0.0389  0.0170  0.02
Rossi 2007   83  -0.3119  0.0063  0.0278  0.0289  0.0179  0.01
Rubinstein 1939   32  -0.1817  0.0045  0.0548  0.0588  0.0241  0.03
Rubinstein 1952   23  -0.1751  0.0031  0.0928  0.2189  0.0129  0.05
Rubinstein 1966   69  -0.2682  0.0084  0.0283  0.0290  0.0186  0.01
Schilhawsky 1960   7  -0.0638  0.0014  0.1011  0.4389  0.0211  0.09
Shebanova 2002   41  -0.2128  0.0061  0.0367  0.0390  0.0163  0.02
Smith 1975   85  -0.3230  0.0083  0.0285  0.0290  0.0182  0.01
Sokolov 2002   30  -0.185  0.098  0.147  0.5090  0.0114  0.07
Sztompka 1959   72  -0.2686  0.0067  0.0365  0.0390  0.0157  0.02
Tomsic 1995   12  -0.1126  0.0018  0.0816  0.3089  0.0212  0.08
Uninsky 1932   22  -0.1643  0.0032  0.0530  0.1989  0.0133  0.04
Uninsky 1971   9  -0.0721  0.0013  0.0810  0.4688  0.026  0.10
Wasowski 1980   27  -0.1737  0.0025  0.0820  0.2889  0.0123  0.05
Zak 1937   26  -0.1777  0.0040  0.0438  0.1289  0.0144  0.03
Zak 1951   24  -0.1790  0.0041  0.0439  0.1189  0.0145  0.03
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   4  0.004  0.103  0.214  0.568  0.432  0.49
Random 3   1  0.121  0.311  0.301  0.591  0.651  0.62

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).