Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   10  0.6721  0.0116  0.0717  0.417  0.5015  0.45
Anderszewski 2003   75  0.3543  0.0073  0.0551  0.0568  0.0377  0.04
Ashkenazy 1981   49  0.5318  0.0152  0.0456  0.0441  0.1266  0.07
Bacha 2000   63  0.4883  0.0075  0.0377  0.0339  0.1958  0.08
Badura 1965   70  0.4349  0.0068  0.0370  0.0339  0.1564  0.07
Barbosa 1983   41  0.5625  0.0027  0.1116  0.423  0.619  0.51
Biret 1990   66  0.4784  0.0077  0.0378  0.0352  0.0581  0.04
Blet 2003   31  0.5827  0.0043  0.0741  0.1528  0.3041  0.21
Block 1995   25  0.6062  0.0032  0.0631  0.2416  0.4131  0.31
Blumental 1952   84  0.2680  0.0086  0.0375  0.0364  0.0485  0.03
Boshniakovich 1969   38  0.5664  0.0041  0.0639  0.1721  0.4437  0.27
Brailowsky 1960   39  0.5670  0.0054  0.0452  0.0417  0.3948  0.12
Bunin 1987   24  0.6012  0.0224  0.0825  0.3118  0.4023  0.35
Bunin 1987b   23  0.6052  0.0025  0.0826  0.3118  0.4022  0.35
Chiu 1999   67  0.4766  0.0030  0.0634  0.2322  0.4230  0.31
Cohen 1997   76  0.3473  0.0084  0.0283  0.0250  0.0686  0.03
Cortot 1951   72  0.3989  0.0085  0.0281  0.0252  0.0588  0.03
Csalog 1996   47  0.5355  0.0051  0.0454  0.0428  0.3151  0.11
Czerny 1949   55  0.5244  0.0063  0.0465  0.0435  0.2354  0.10
Czerny 1990   11  0.6632  0.0017  0.098  0.5011  0.5010  0.50
Duchoud 2007   53  0.5253  0.0071  0.0462  0.0463  0.0479  0.04
Ezaki 2006   15  0.6456  0.0022  0.0818  0.3823  0.3125  0.34
Falvay 1989   3  0.712  0.132  0.141  0.634  0.642  0.63
Farrell 1958   57  0.5081  0.0074  0.0459  0.0432  0.2453  0.10
Ferenczy 1958   69  0.4685  0.0083  0.0285  0.0249  0.0778  0.04
Fliere 1977   4  0.715  0.076  0.125  0.578  0.595  0.58
Fou 1978   19  0.6347  0.0015  0.0714  0.4321  0.4219  0.42
Francois 1956   7  0.7022  0.0112  0.0910  0.485  0.568  0.52
Friedman 1923   87  0.1551  0.0081  0.0287  0.0245  0.0883  0.04
Friedman 1923b   86  0.1648  0.0080  0.0284  0.0262  0.0587  0.03
Friedman 1930   80  0.3074  0.0064  0.0464  0.0437  0.2056  0.09
Garcia 2007   81  0.2945  0.0078  0.0280  0.0236  0.1768  0.06
Garcia 2007b   83  0.2642  0.0082  0.0286  0.0216  0.4057  0.09
Gierzod 1998   58  0.4971  0.0055  0.0460  0.0440  0.1067  0.06
Gornostaeva 1994   8  0.686  0.074  0.1311  0.4812  0.5011  0.49
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Harasiewicz 1955   45  0.5314  0.0213  0.1219  0.3820  0.3224  0.35
Hatto 1993   79  0.3159  0.0059  0.0366  0.0354  0.0582  0.04
Hatto 1997   77  0.3346  0.0062  0.0369  0.0359  0.0484  0.03
Horowitz 1949   16  0.6416  0.0110  0.0812  0.454  0.5212  0.48
Indjic 1988   78  0.3360  0.0061  0.0376  0.0350  0.0576  0.04
Kapell 1951   37  0.5786  0.0069  0.0373  0.0355  0.0574  0.04
Kissin 1993   13  0.6526  0.0014  0.0715  0.4314  0.4616  0.44
Kushner 1989   18  0.6365  0.0034  0.0735  0.2121  0.3436  0.27
Luisada 1991   48  0.5328  0.0053  0.0461  0.0441  0.1461  0.07
Lushtak 2004   62  0.4850  0.0060  0.0371  0.0348  0.0580  0.04
Malcuzynski 1961   2  0.7323  0.0011  0.119  0.4814  0.4214  0.45
Magaloff 1978   5  0.703  0.113  0.127  0.555  0.497  0.52
Magin 1975   61  0.4930  0.0047  0.0549  0.0533  0.1952  0.10
Michalowski 1933   74  0.3541  0.0065  0.0458  0.0447  0.0671  0.05
Milkina 1970   17  0.6429  0.0029  0.0729  0.2714  0.4128  0.33
Mohovich 1999   6  0.707  0.058  0.133  0.603  0.653  0.62
Moravec 1969   34  0.5757  0.0067  0.0368  0.0328  0.2059  0.08
Morozova 2008   44  0.549  0.039  0.1013  0.449  0.4218  0.43
Neighaus 1950   9  0.6719  0.017  0.124  0.598  0.576  0.58
Niedzielski 1931   65  0.4767  0.0076  0.0279  0.0241  0.0973  0.04
Ohlsson 1999   51  0.5224  0.0072  0.0457  0.0455  0.0475  0.04
Osinska 1989   40  0.5663  0.0048  0.0455  0.0447  0.0669  0.05
Pachmann 1927   29  0.5934  0.0021  0.0922  0.366  0.6113  0.47
Paderewski 1930   35  0.5738  0.0046  0.0547  0.0531  0.1855  0.09
Perlemuter 1992   12  0.664  0.105  0.122  0.601  0.711  0.65
Pierdomenico 2008   60  0.4987  0.0049  0.0550  0.0518  0.3247  0.13
Poblocka 1999   20  0.6213  0.0235  0.0632  0.2435  0.1940  0.21
Rabcewiczowa 1932   64  0.4777  0.0070  0.0453  0.0440  0.1860  0.08
Rachmaninoff 1923   46  0.5317  0.0126  0.0928  0.2918  0.3926  0.34
Rangell 2001   54  0.5278  0.0050  0.0548  0.0549  0.0572  0.05
Richter 1976   21  0.6161  0.0031  0.0630  0.276  0.4227  0.34
Rosen 1989   32  0.5735  0.0037  0.0737  0.1923  0.3438  0.25
Rosenthal 1930   50  0.5239  0.0033  0.0736  0.2016  0.5229  0.32
Rosenthal 1931   71  0.4075  0.0056  0.0367  0.0314  0.4649  0.12
Rosenthal 1931b   73  0.3879  0.0058  0.0463  0.0419  0.3850  0.12
Rosenthal 1931c   56  0.5140  0.0045  0.0546  0.0512  0.5244  0.16
Rosenthal 1931d   68  0.4668  0.0057  0.0545  0.058  0.4445  0.15
Rossi 2007   85  0.2390  0.0087  0.0372  0.0334  0.1762  0.07
Rubinstein 1939   82  0.2837  0.0079  0.0282  0.0238  0.1470  0.05
Rubinstein 1952   14  0.6510  0.0218  0.0821  0.379  0.5217  0.44
Rubinstein 1966   27  0.5969  0.0038  0.0738  0.1911  0.4633  0.30
Schilhawsky 1960   52  0.5272  0.0066  0.0374  0.0339  0.1863  0.07
Shebanova 2002   26  0.6011  0.0228  0.0727  0.3031  0.3134  0.30
Smith 1975   22  0.6136  0.0023  0.0724  0.3227  0.2832  0.30
Sokolov 2002   28  0.5954  0.0039  0.0740  0.1537  0.2242  0.18
Sztompka 1959   33  0.578  0.0336  0.0733  0.2324  0.3735  0.29
Tomsic 1995   1  0.731  0.171  0.176  0.552  0.644  0.59
Uninsky 1932   59  0.4931  0.0042  0.0544  0.1134  0.1846  0.14
Uninsky 1971   43  0.5420  0.0140  0.0643  0.1238  0.2443  0.17
Wasowski 1980   42  0.5515  0.0144  0.0742  0.1320  0.3339  0.21
Zak 1937   36  0.5733  0.0020  0.0823  0.3416  0.4121  0.37
Zak 1951   30  0.5858  0.0019  0.0820  0.3714  0.4520  0.41
Random 1   89  -0.0476  0.0088  0.0288  0.0223  0.2565  0.07
Random 2   90  -0.0588  0.0089  0.0189  0.0171  0.0389  0.02
Random 3   88  -0.0482  0.0090  0.0190  0.0188  0.0190  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).