Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.624  0.038  0.127  0.5740  0.1513  0.29
Anderszewski 2003   44  0.5177  0.0064  0.0374  0.0373  0.0386  0.03
Ashkenazy 1981   36  0.5264  0.0048  0.0646  0.0650  0.0655  0.06
Bacha 2000   81  0.4070  0.0080  0.0468  0.0472  0.0380  0.03
Badura 1965   54  0.4978  0.0058  0.0460  0.0466  0.0571  0.04
Barbosa 1983   67  0.4488  0.0054  0.0461  0.0470  0.0467  0.04
Biret 1990   9  0.6013  0.026  0.115  0.5825  0.336  0.44
Blet 2003   34  0.5328  0.0039  0.0733  0.2116  0.3912  0.29
Block 1995   74  0.4348  0.0060  0.0378  0.0353  0.0572  0.04
Blumental 1952   40  0.519  0.0325  0.0635  0.2049  0.0538  0.10
Boshniakovich 1969   26  0.5431  0.0030  0.0526  0.3266  0.0436  0.11
Brailowsky 1960   69  0.4434  0.0081  0.0463  0.0461  0.0561  0.04
Bunin 1987   65  0.4565  0.0069  0.0467  0.0439  0.2045  0.09
Bunin 1987b   72  0.4357  0.0070  0.0648  0.0638  0.2330  0.12
Chiu 1999   32  0.5350  0.0052  0.0556  0.0581  0.0363  0.04
Cohen 1997   71  0.4474  0.0068  0.0375  0.0329  0.2249  0.08
Cortot 1951   77  0.4060  0.0073  0.0382  0.0356  0.0576  0.04
Csalog 1996   58  0.4735  0.0036  0.0634  0.2130  0.2416  0.22
Czerny 1949   45  0.5125  0.0153  0.0459  0.0476  0.0469  0.04
Czerny 1990   27  0.5461  0.0050  0.0554  0.0572  0.0473  0.04
Duchoud 2007   79  0.4071  0.0074  0.0465  0.0459  0.0570  0.04
Ezaki 2006   46  0.5081  0.0067  0.0462  0.0483  0.0379  0.03
Falvay 1989   23  0.563  0.0547  0.0845  0.0839  0.2126  0.13
Farrell 1958   48  0.5041  0.0042  0.0542  0.1361  0.0643  0.09
Ferenczy 1958   42  0.5130  0.0037  0.0641  0.1533  0.2717  0.20
Fliere 1977   7  0.618  0.037  0.154  0.5967  0.0422  0.15
Fou 1978   6  0.6111  0.0212  0.0913  0.4952  0.0518  0.16
Francois 1956   14  0.5718  0.0214  0.1212  0.513  0.631  0.57
Friedman 1923   68  0.4480  0.0076  0.0372  0.0351  0.0678  0.04
Friedman 1923b   73  0.4336  0.0077  0.0458  0.0451  0.0660  0.05
Friedman 1930   55  0.4942  0.0065  0.0376  0.0357  0.0568  0.04
Garcia 2007   19  0.5716  0.0211  0.0911  0.5211  0.522  0.52
Garcia 2007b   16  0.5727  0.009  0.089  0.5418  0.484  0.51
Gierzod 1998   12  0.5840  0.0021  0.0917  0.4565  0.0429  0.13
Gornostaeva 1994   35  0.5219  0.0129  0.0637  0.1750  0.0450  0.08
Groot 1988   52  0.4939  0.0041  0.0539  0.1748  0.0639  0.10
Harasiewicz 1955   11  0.5975  0.0032  0.0627  0.3161  0.0532  0.12
Hatto 1993   39  0.5252  0.0035  0.0929  0.2960  0.0531  0.12
Hatto 1997   33  0.5382  0.0031  0.0628  0.3067  0.0435  0.11
Horowitz 1949   53  0.4966  0.0066  0.0373  0.0349  0.0757  0.05
Indjic 1988   30  0.5337  0.0034  0.0630  0.2975  0.0344  0.09
Kapell 1951   29  0.5345  0.0022  0.0724  0.3480  0.0337  0.10
Kissin 1993   10  0.6053  0.0017  0.0920  0.4249  0.0620  0.16
Kushner 1989   4  0.6210  0.023  0.138  0.5736  0.259  0.38
Luisada 1991   13  0.5747  0.0026  0.0622  0.3749  0.0621  0.15
Lushtak 2004   25  0.5512  0.0216  0.1321  0.4135  0.2210  0.30
Malcuzynski 1961   80  0.4014  0.0228  0.0640  0.1566  0.0448  0.08
Magaloff 1978   75  0.4279  0.0078  0.0380  0.0371  0.0482  0.03
Magin 1975   43  0.5129  0.0040  0.0638  0.1746  0.0542  0.09
Michalowski 1933   76  0.4138  0.0071  0.0381  0.0360  0.0566  0.04
Milkina 1970   17  0.5749  0.0023  0.0723  0.3566  0.0527  0.13
Mohovich 1999   41  0.5151  0.0044  0.0544  0.1073  0.0453  0.06
Moravec 1969   66  0.4462  0.0079  0.0371  0.0361  0.0481  0.03
Morozova 2008   31  0.5333  0.0046  0.0647  0.0672  0.0458  0.05
Neighaus 1950   28  0.5424  0.0138  0.0832  0.2250  0.0540  0.10
Niedzielski 1931   78  0.4043  0.0055  0.0551  0.0555  0.0556  0.05
Ohlsson 1999   37  0.5226  0.0015  0.0919  0.4467  0.0428  0.13
Osinska 1989   1  0.632  0.102  0.132  0.6233  0.257  0.39
Pachmann 1927   61  0.4655  0.0082  0.0457  0.0450  0.0565  0.04
Paderewski 1930   51  0.4923  0.0156  0.0552  0.0523  0.3724  0.14
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   64  0.4558  0.0059  0.0466  0.0433  0.2833  0.11
Poblocka 1999   59  0.4772  0.0049  0.0553  0.0566  0.0462  0.04
Rabcewiczowa 1932   20  0.5615  0.0210  0.0910  0.5221  0.308  0.39
Rachmaninoff 1923   62  0.465  0.0324  0.0636  0.1975  0.0441  0.09
Rangell 2001   82  0.3973  0.0063  0.0379  0.0349  0.0574  0.04
Richter 1976   70  0.4486  0.0072  0.0385  0.0373  0.0484  0.03
Rosen 1989   24  0.5517  0.0213  0.1018  0.4440  0.1614  0.27
Rosenthal 1930   84  0.3456  0.0084  0.0469  0.0486  0.0287  0.03
Rosenthal 1931   85  0.3332  0.0087  0.0464  0.0471  0.0385  0.03
Rosenthal 1931b   83  0.3489  0.0083  0.0383  0.0352  0.0577  0.04
Rosenthal 1931c   87  0.3187  0.0085  0.0384  0.0364  0.0488  0.03
Rosenthal 1931d   86  0.3383  0.0086  0.0386  0.0347  0.0675  0.04
Rossi 2007   50  0.5054  0.0061  0.0377  0.0340  0.1851  0.07
Rubinstein 1939   57  0.4790  0.0075  0.0387  0.0382  0.0383  0.03
Rubinstein 1952   47  0.5021  0.0145  0.0649  0.0642  0.1546  0.09
Rubinstein 1966   18  0.5722  0.0127  0.0631  0.2467  0.0534  0.11
Schilhawsky 1960   21  0.567  0.0319  0.0715  0.4641  0.1215  0.23
Shebanova 2002   5  0.611  0.351  0.351  0.6525  0.345  0.47
Smith 1975   56  0.4876  0.0057  0.0550  0.0563  0.0464  0.04
Sokolov 2002   60  0.4746  0.0043  0.0643  0.1251  0.0547  0.08
Sztompka 1959   8  0.6020  0.014  0.106  0.5842  0.1511  0.29
Tomsic 1995   63  0.4667  0.0062  0.0470  0.0443  0.1252  0.07
Uninsky 1932   49  0.5069  0.0051  0.0555  0.0552  0.0559  0.05
Uninsky 1971   38  0.5284  0.0033  0.0725  0.3257  0.0625  0.14
Wasowski 1980   2  0.636  0.035  0.123  0.6123  0.433  0.51
Zak 1937   15  0.5768  0.0020  0.0816  0.4555  0.0619  0.16
Zak 1951   22  0.5663  0.0018  0.0714  0.4664  0.0523  0.15
Random 1   90  -0.1085  0.0090  0.0190  0.0176  0.0290  0.01
Random 2   88  -0.0744  0.0089  0.0189  0.0164  0.0389  0.02
Random 3   89  -0.0959  0.0088  0.0288  0.0231  0.1854  0.06

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).