Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   13  0.3917  0.0113  0.1210  0.5916  0.5115  0.55
Anderszewski 2003   44  0.2864  0.0019  0.1228  0.4320  0.4621  0.44
Ashkenazy 1981   59  0.2270  0.0068  0.0367  0.0370  0.0566  0.04
Bacha 2000   55  0.2573  0.0039  0.0940  0.2049  0.0641  0.11
Badura 1965   58  0.2455  0.0037  0.1037  0.2741  0.1332  0.19
Barbosa 1983   53  0.2574  0.0050  0.0655  0.0654  0.0558  0.05
Biret 1990   19  0.376  0.048  0.1215  0.5613  0.6312  0.59
Blet 2003   77  0.1556  0.0087  0.0285  0.0282  0.0287  0.02
Block 1995   27  0.3382  0.0040  0.0739  0.2260  0.0544  0.10
Blumental 1952   61  0.2265  0.0043  0.0545  0.1163  0.0551  0.07
Boshniakovich 1969   47  0.2783  0.0046  0.0652  0.0643  0.1346  0.09
Brailowsky 1960   33  0.3184  0.0034  0.0834  0.3628  0.4126  0.38
Bunin 1987   79  0.1566  0.0084  0.0286  0.0271  0.0482  0.03
Bunin 1987b   78  0.1550  0.0085  0.0284  0.0274  0.0472  0.03
Chiu 1999   32  0.3157  0.0060  0.0559  0.0582  0.0364  0.04
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   8  0.4212  0.0114  0.128  0.6211  0.6011  0.61
Csalog 1996   52  0.2539  0.0065  0.0364  0.0362  0.0565  0.04
Czerny 1949   6  0.4320  0.006  0.126  0.677  0.845  0.75
Czerny 1990   73  0.1652  0.0083  0.0366  0.0370  0.0483  0.03
Duchoud 2007   48  0.2722  0.0049  0.0654  0.0660  0.0560  0.05
Ezaki 2006   2  0.542  0.142  0.332  0.764  0.763  0.76
Falvay 1989   23  0.3541  0.0031  0.1230  0.4125  0.3527  0.38
Farrell 1958   37  0.3077  0.0042  0.0742  0.1642  0.1137  0.13
Ferenczy 1958   36  0.3123  0.0012  0.1621  0.5116  0.7510  0.62
Fliere 1977   54  0.2567  0.0062  0.0462  0.0456  0.0563  0.04
Fou 1978   45  0.2868  0.0041  0.0741  0.1777  0.0349  0.07
Francois 1956   3  0.528  0.033  0.303  0.751  0.842  0.79
Friedman 1923   74  0.1685  0.0089  0.0188  0.0173  0.0490  0.02
Friedman 1923b   76  0.1686  0.0088  0.0189  0.0173  0.0489  0.02
Friedman 1930   60  0.2236  0.0074  0.0277  0.0272  0.0480  0.03
Garcia 2007   63  0.2062  0.0045  0.0557  0.0546  0.0661  0.05
Garcia 2007b   67  0.1926  0.0059  0.0461  0.0456  0.0662  0.05
Gierzod 1998   64  0.2071  0.0029  0.0936  0.3461  0.0539  0.13
Gornostaeva 1994   5  0.477  0.039  0.117  0.6411  0.667  0.65
Groot 1988   40  0.3072  0.0044  0.0643  0.1168  0.0552  0.07
Harasiewicz 1955   15  0.3810  0.0225  0.1224  0.4637  0.1930  0.30
Hatto 1993   66  0.1987  0.0073  0.0368  0.0375  0.0484  0.03
Hatto 1997   29  0.3238  0.0035  0.0933  0.3849  0.0635  0.15
Horowitz 1949   83  0.1446  0.0066  0.0370  0.0377  0.0474  0.03
Indjic 1988   75  0.1669  0.0081  0.0276  0.0276  0.0478  0.03
Kapell 1951   82  0.1488  0.0076  0.0282  0.0278  0.0470  0.03
Kissin 1993   88  0.0835  0.0078  0.0281  0.0281  0.0386  0.02
Kushner 1989   30  0.3142  0.0054  0.1144  0.1174  0.0450  0.07
Luisada 1991   65  0.2063  0.0080  0.0279  0.0281  0.0467  0.03
Lushtak 2004   22  0.3521  0.0027  0.1027  0.4417  0.4124  0.42
Malcuzynski 1961   38  0.3027  0.0036  0.1035  0.3457  0.0538  0.13
Magaloff 1978   16  0.3831  0.0033  0.1232  0.3941  0.1931  0.27
Magin 1975   86  0.1225  0.0090  0.0190  0.0175  0.0485  0.02
Michalowski 1933   72  0.1714  0.0171  0.0373  0.0382  0.0377  0.03
Milkina 1970   51  0.2511  0.0124  0.1125  0.4522  0.4420  0.44
Mohovich 1999   24  0.3430  0.0023  0.0918  0.5424  0.3522  0.43
Moravec 1969   43  0.2847  0.0038  0.0738  0.2556  0.0442  0.10
Morozova 2008   42  0.2859  0.0055  0.0650  0.0669  0.0459  0.05
Neighaus 1950   9  0.4213  0.0115  0.159  0.5929  0.3123  0.43
Niedzielski 1931   71  0.1743  0.0077  0.0283  0.0264  0.0569  0.03
Ohlsson 1999   14  0.3919  0.0028  0.0931  0.4151  0.0536  0.14
Osinska 1989   7  0.439  0.0217  0.1513  0.5818  0.5613  0.57
Pachmann 1927   34  0.3151  0.0048  0.0651  0.0664  0.0655  0.06
Paderewski 1930   84  0.1375  0.0082  0.0372  0.0385  0.0376  0.03
Perlemuter 1992   35  0.3176  0.0051  0.0748  0.0774  0.0456  0.05
Pierdomenico 2008   50  0.2558  0.0052  0.0847  0.0843  0.1045  0.09
Poblocka 1999   49  0.2561  0.0056  0.0749  0.0759  0.0553  0.06
Rabcewiczowa 1932   4  0.493  0.054  0.294  0.713  0.814  0.76
Rachmaninoff 1923   68  0.1944  0.0061  0.0460  0.0485  0.0368  0.03
Rangell 2001   41  0.3018  0.0122  0.1022  0.4925  0.3325  0.40
Richter 1976   56  0.2545  0.0075  0.0280  0.0277  0.0475  0.03
Rosen 1989   10  0.4115  0.0121  0.1111  0.5936  0.3419  0.45
Rosenthal 1930   26  0.3348  0.0032  0.1426  0.4418  0.4718  0.45
Rosenthal 1931   25  0.3453  0.007  0.1516  0.569  0.738  0.64
Rosenthal 1931b   31  0.3116  0.0110  0.1312  0.5810  0.719  0.64
Rosenthal 1931c   11  0.405  0.055  0.145  0.697  0.696  0.69
Rosenthal 1931d   46  0.2728  0.0018  0.1020  0.529  0.6214  0.57
Rossi 2007   70  0.1840  0.0070  0.0374  0.0339  0.1254  0.06
Rubinstein 1939   21  0.3533  0.0030  0.0929  0.4224  0.2729  0.34
Rubinstein 1952   20  0.364  0.0516  0.1317  0.5420  0.4716  0.50
Rubinstein 1966   18  0.3729  0.0020  0.1014  0.5628  0.2628  0.38
Schilhawsky 1960   81  0.1478  0.0086  0.0287  0.0270  0.0479  0.03
Shebanova 2002   57  0.2479  0.0072  0.0371  0.0373  0.0481  0.03
Smith 1975   1  0.581  0.431  0.431  0.831  0.871  0.85
Sokolov 2002   62  0.2154  0.0057  0.0653  0.0637  0.2340  0.12
Sztompka 1959   28  0.3232  0.0047  0.0656  0.0662  0.0557  0.05
Tomsic 1995   12  0.3934  0.0011  0.1719  0.5212  0.4517  0.48
Uninsky 1932   69  0.1980  0.0079  0.0278  0.0283  0.0388  0.02
Uninsky 1971   17  0.3837  0.0026  0.1023  0.4747  0.0733  0.18
Wasowski 1980   39  0.3024  0.0053  0.1046  0.1049  0.0747  0.08
Zak 1937   85  0.1289  0.0067  0.0369  0.0372  0.0371  0.03
Zak 1951   80  0.1490  0.0063  0.0463  0.0475  0.0373  0.03
Random 1   90  0.0081  0.0069  0.0375  0.0335  0.2148  0.08
Random 2   87  0.0949  0.0064  0.0365  0.0322  0.3443  0.10
Random 3   89  0.0660  0.0058  0.0558  0.054  0.6334  0.18

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).