Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   76  0.1555  0.0081  0.0285  0.0285  0.0284  0.02
Anderszewski 2003   44  0.3027  0.0041  0.0642  0.1269  0.0345  0.06
Ashkenazy 1981   7  0.515  0.0712  0.089  0.4569  0.0323  0.12
Bacha 2000   4  0.5362  0.0011  0.1510  0.4323  0.316  0.37
Badura 1965   75  0.1749  0.0069  0.0365  0.0377  0.0364  0.03
Barbosa 1983   59  0.2416  0.0142  0.0541  0.1265  0.0439  0.07
Biret 1990   18  0.4239  0.0019  0.0911  0.4360  0.0420  0.13
Blet 2003   67  0.1983  0.0076  0.0282  0.0279  0.0379  0.02
Block 1995   30  0.368  0.049  0.0928  0.2635  0.1712  0.21
Blumental 1952   79  0.1429  0.0079  0.0280  0.0280  0.0286  0.02
Boshniakovich 1969   46  0.2958  0.0027  0.0538  0.1463  0.0440  0.07
Brailowsky 1960   3  0.554  0.083  0.204  0.5217  0.374  0.44
Bunin 1987   64  0.2224  0.0165  0.0452  0.0484  0.0265  0.03
Bunin 1987b   63  0.2223  0.0164  0.0458  0.0484  0.0258  0.03
Chiu 1999   36  0.3411  0.0228  0.0618  0.3566  0.0421  0.12
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   48  0.2959  0.0059  0.0462  0.0473  0.0368  0.03
Csalog 1996   2  0.552  0.152  0.201  0.594  0.551  0.57
Czerny 1949   82  0.0863  0.0077  0.0375  0.0383  0.0283  0.02
Czerny 1990   80  0.1487  0.0080  0.0284  0.0286  0.0287  0.02
Duchoud 2007   53  0.2825  0.0066  0.0456  0.0479  0.0262  0.03
Ezaki 2006   61  0.2448  0.0070  0.0457  0.0476  0.0354  0.03
Falvay 1989   11  0.476  0.067  0.145  0.4962  0.0416  0.14
Farrell 1958   23  0.3943  0.0039  0.0730  0.2468  0.0426  0.10
Ferenczy 1958   29  0.3628  0.0048  0.0548  0.0555  0.0450  0.04
Fliere 1977   34  0.3477  0.0044  0.0643  0.1184  0.0342  0.06
Fou 1978   13  0.4442  0.0030  0.0519  0.3353  0.0617  0.14
Francois 1956   70  0.1940  0.0055  0.0461  0.0484  0.0270  0.03
Friedman 1923   90  -0.2384  0.0090  0.0190  0.0189  0.0190  0.01
Friedman 1923b   89  -0.2373  0.0089  0.0289  0.0288  0.0189  0.01
Friedman 1930   84  0.0368  0.0078  0.0372  0.0386  0.0281  0.02
Garcia 2007   77  0.1536  0.0084  0.0281  0.0276  0.0385  0.02
Garcia 2007b   73  0.1771  0.0061  0.0364  0.0371  0.0371  0.03
Gierzod 1998   10  0.4756  0.0018  0.0917  0.3682  0.0329  0.10
Gornostaeva 1994   56  0.2726  0.0054  0.0459  0.0475  0.0366  0.03
Groot 1988   33  0.3485  0.0049  0.0645  0.0669  0.0352  0.04
Harasiewicz 1955   58  0.2453  0.0047  0.0451  0.0463  0.0369  0.03
Hatto 1993   40  0.3169  0.0033  0.0832  0.2377  0.0241  0.07
Hatto 1997   41  0.3110  0.0221  0.0627  0.2778  0.0332  0.09
Horowitz 1949   65  0.2188  0.0052  0.0454  0.0485  0.0260  0.03
Indjic 1988   42  0.3082  0.0032  0.0631  0.2364  0.0335  0.08
Kapell 1951   32  0.3533  0.0022  0.0637  0.1466  0.0343  0.06
Kissin 1993   26  0.3867  0.0037  0.0835  0.1669  0.0338  0.07
Kushner 1989   35  0.3417  0.0124  0.0540  0.1283  0.0246  0.05
Luisada 1991   47  0.2989  0.0050  0.0547  0.0582  0.0347  0.04
Lushtak 2004   21  0.4146  0.0034  0.0716  0.3783  0.0233  0.09
Malcuzynski 1961   45  0.3034  0.0068  0.0373  0.0386  0.0276  0.02
Magaloff 1978   8  0.4815  0.0113  0.098  0.4579  0.0322  0.12
Magin 1975   68  0.1938  0.0074  0.0279  0.0285  0.0275  0.02
Michalowski 1933   69  0.1918  0.0151  0.0453  0.0470  0.0449  0.04
Milkina 1970   5  0.527  0.056  0.163  0.5331  0.227  0.34
Mohovich 1999   50  0.2878  0.0053  0.0549  0.0573  0.0351  0.04
Moravec 1969   43  0.3041  0.0058  0.0455  0.0477  0.0355  0.03
Morozova 2008   78  0.1460  0.0062  0.0367  0.0380  0.0280  0.02
Neighaus 1950   51  0.2864  0.0063  0.0369  0.0380  0.0367  0.03
Niedzielski 1931   81  0.0950  0.0082  0.0287  0.0274  0.0274  0.02
Ohlsson 1999   22  0.4032  0.0035  0.0723  0.3073  0.0331  0.09
Osinska 1989   20  0.4113  0.0115  0.0915  0.4053  0.0419  0.13
Pachmann 1927   15  0.4322  0.018  0.1012  0.4233  0.228  0.30
Paderewski 1930   16  0.4379  0.0017  0.1126  0.2750  0.0427  0.10
Perlemuter 1992   66  0.2172  0.0073  0.0370  0.0386  0.0272  0.02
Pierdomenico 2008   37  0.3486  0.0036  0.0920  0.3264  0.0325  0.10
Poblocka 1999   9  0.4820  0.0116  0.106  0.4841  0.139  0.25
Rabcewiczowa 1932   74  0.1757  0.0072  0.0377  0.0380  0.0357  0.03
Rachmaninoff 1923   88  -0.1080  0.0087  0.0286  0.0290  0.0188  0.01
Rangell 2001   14  0.449  0.0210  0.1221  0.3249  0.0618  0.14
Richter 1976   19  0.4251  0.0026  0.0522  0.3232  0.1411  0.21
Rosen 1989   12  0.4544  0.0014  0.0924  0.2944  0.1214  0.19
Rosenthal 1930   52  0.2847  0.0057  0.0363  0.0378  0.0363  0.03
Rosenthal 1931   31  0.3545  0.0040  0.0633  0.1952  0.0528  0.10
Rosenthal 1931b   24  0.3852  0.0038  0.0825  0.2855  0.0524  0.12
Rosenthal 1931c   27  0.3730  0.0045  0.0546  0.0580  0.0353  0.04
Rosenthal 1931d   17  0.4274  0.0020  0.0713  0.4132  0.1410  0.24
Rossi 2007   87  -0.0565  0.0086  0.0278  0.0281  0.0273  0.02
Rubinstein 1939   28  0.371  0.171  0.1714  0.406  0.513  0.45
Rubinstein 1952   6  0.5112  0.024  0.222  0.5415  0.492  0.51
Rubinstein 1966   39  0.3375  0.0031  0.0534  0.1641  0.1415  0.15
Schilhawsky 1960   55  0.2776  0.0060  0.0460  0.0471  0.0361  0.03
Shebanova 2002   1  0.583  0.125  0.207  0.4627  0.315  0.38
Smith 1975   25  0.3837  0.0023  0.0629  0.2579  0.0330  0.09
Sokolov 2002   57  0.2631  0.0067  0.0371  0.0380  0.0356  0.03
Sztompka 1959   72  0.1854  0.0075  0.0376  0.0383  0.0277  0.02
Tomsic 1995   38  0.3335  0.0056  0.0366  0.0375  0.0359  0.03
Uninsky 1932   86  -0.0290  0.0088  0.0374  0.0389  0.0182  0.02
Uninsky 1971   71  0.1861  0.0071  0.0368  0.0380  0.0278  0.02
Wasowski 1980   54  0.2714  0.0125  0.0436  0.1554  0.0434  0.08
Zak 1937   60  0.2470  0.0043  0.0639  0.1382  0.0344  0.06
Zak 1951   62  0.2381  0.0046  0.0550  0.0586  0.0348  0.04
Random 1   83  0.0321  0.0185  0.0283  0.0215  0.3637  0.08
Random 2   85  0.0066  0.0083  0.0288  0.0213  0.3236  0.08
Random 3   49  0.2819  0.0129  0.0544  0.1115  0.3913  0.21

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).