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  0.8026  0.0012  0.105  0.5028  0.3012  0.39
Anderszewski 2003   34  0.6928  0.0053  0.0470  0.0446  0.0868  0.06
Ashkenazy 1981   51  0.6488  0.0055  0.0380  0.0347  0.0685  0.04
Bacha 2000   57  0.6261  0.0065  0.0379  0.0352  0.0580  0.04
Badura 1965   43  0.6718  0.0146  0.0457  0.0446  0.0776  0.05
Barbosa 1983   69  0.5875  0.0064  0.0376  0.0330  0.1760  0.07
Biret 1990   5  0.7731  0.0011  0.099  0.476  0.553  0.51
Blet 2003   18  0.7358  0.0022  0.0622  0.295  0.4614  0.37
Block 1995   61  0.6025  0.0162  0.0466  0.0442  0.1070  0.06
Blumental 1952   26  0.7024  0.0134  0.0733  0.2125  0.1936  0.20
Boshniakovich 1969   44  0.6636  0.0045  0.0545  0.1045  0.1346  0.11
Brailowsky 1960   45  0.6634  0.0068  0.0454  0.0437  0.1854  0.08
Bunin 1987   79  0.5178  0.0077  0.0472  0.0438  0.2252  0.09
Bunin 1987b   80  0.4859  0.0076  0.0375  0.0338  0.2356  0.08
Chiu 1999   29  0.7074  0.0048  0.0467  0.0441  0.1458  0.07
Cohen 1997   73  0.5570  0.0074  0.0383  0.0312  0.3847  0.11
Cortot 1951   35  0.6955  0.0044  0.0639  0.1424  0.3932  0.23
Csalog 1996   78  0.5240  0.0042  0.0543  0.1315  0.3833  0.22
Czerny 1949   47  0.6516  0.0129  0.0644  0.1273  0.0462  0.07
Czerny 1990   20  0.7256  0.0037  0.0632  0.2132  0.1640  0.18
Duchoud 2007   76  0.5479  0.0069  0.0462  0.0452  0.0584  0.04
Ezaki 2006   24  0.7091  0.0060  0.0463  0.0454  0.0479  0.04
Falvay 1989   56  0.623  0.0547  0.0458  0.0435  0.3644  0.12
Farrell 1958   39  0.698  0.0320  0.0920  0.3225  0.3520  0.33
Ferenczy 1958   21  0.7011  0.0317  0.0830  0.2311  0.4322  0.31
Fliere 1977   15  0.7435  0.0010  0.086  0.4831  0.2121  0.32
Fou 1978   2  0.8141  0.006  0.087  0.488  0.476  0.47
Francois 1956   22  0.7029  0.0041  0.0638  0.1415  0.4529  0.25
Friedman 1923   58  0.6167  0.0079  0.0455  0.0453  0.0678  0.05
Friedman 1923b   62  0.6069  0.0080  0.0453  0.0455  0.0586  0.04
Friedman 1930   59  0.6065  0.0082  0.0471  0.0454  0.0674  0.05
Garcia 2007   6  0.775  0.044  0.143  0.584  0.621  0.60
Garcia 2007b   19  0.7313  0.029  0.084  0.515  0.602  0.55
Gierzod 1998   30  0.7084  0.0030  0.0819  0.3241  0.1535  0.22
Gornostaeva 1994   63  0.6019  0.0154  0.0549  0.0537  0.1163  0.07
Groot 1988   37  0.6915  0.0221  0.0926  0.2610  0.4817  0.35
Harasiewicz 1955   13  0.7485  0.0036  0.0635  0.1948  0.0648  0.11
Hatto 1993   49  0.6581  0.0058  0.0646  0.0662  0.0577  0.05
Hatto 1997   42  0.6776  0.0057  0.0647  0.0667  0.0475  0.05
Horowitz 1949   52  0.6482  0.0061  0.0451  0.0447  0.0966  0.06
Indjic 1988   41  0.6777  0.0056  0.0373  0.0365  0.0583  0.04
Kapell 1951   48  0.6512  0.023  0.1513  0.4615  0.3013  0.37
Kissin 1993   9  0.7660  0.0015  0.0914  0.4622  0.3910  0.42
Kushner 1989   11  0.7517  0.017  0.088  0.4711  0.505  0.48
Luisada 1991   12  0.7457  0.0018  0.0716  0.3425  0.2523  0.29
Lushtak 2004   4  0.7810  0.0313  0.1111  0.465  0.459  0.45
Malcuzynski 1961   83  0.4544  0.0072  0.0384  0.0362  0.0487  0.03
Magaloff 1978   66  0.5862  0.0052  0.0469  0.0439  0.1755  0.08
Magin 1975   71  0.5538  0.0059  0.0456  0.0453  0.0582  0.04
Michalowski 1933   70  0.5771  0.0051  0.0452  0.0445  0.1067  0.06
Milkina 1970   32  0.6972  0.0039  0.0541  0.1432  0.2141  0.17
Mohovich 1999   38  0.6930  0.0038  0.0536  0.1741  0.1939  0.18
Moravec 1969   77  0.5266  0.0083  0.0385  0.0337  0.1953  0.08
Morozova 2008   25  0.7052  0.0031  0.0528  0.2425  0.2925  0.26
Neighaus 1950   28  0.7039  0.0043  0.0637  0.1641  0.1143  0.13
Niedzielski 1931   65  0.5954  0.0063  0.0461  0.0442  0.1359  0.07
Ohlsson 1999   54  0.6337  0.0035  0.0634  0.2034  0.1938  0.19
Osinska 1989   8  0.769  0.035  0.0812  0.4617  0.448  0.45
Pachmann 1927   50  0.6443  0.0078  0.0464  0.0434  0.1657  0.08
Paderewski 1930   23  0.7021  0.0140  0.0542  0.139  0.4430  0.24
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   81  0.4642  0.0070  0.0374  0.0334  0.2551  0.09
Poblocka 1999   53  0.646  0.038  0.0718  0.3326  0.3419  0.33
Rabcewiczowa 1932   16  0.7314  0.0216  0.0815  0.387  0.4311  0.40
Rachmaninoff 1923   33  0.694  0.0519  0.0831  0.2333  0.1537  0.19
Rangell 2001   88  0.3453  0.0075  0.0386  0.0353  0.0489  0.03
Richter 1976   75  0.5450  0.0071  0.0381  0.0347  0.0973  0.05
Rosen 1989   46  0.6648  0.0032  0.0625  0.2728  0.2626  0.26
Rosenthal 1930   82  0.4668  0.0081  0.0382  0.0363  0.0488  0.03
Rosenthal 1931   86  0.4151  0.0087  0.0378  0.0337  0.1661  0.07
Rosenthal 1931b   84  0.4280  0.0085  0.0387  0.0337  0.1564  0.07
Rosenthal 1931c   87  0.3886  0.0088  0.0459  0.0442  0.1465  0.07
Rosenthal 1931d   85  0.4273  0.0086  0.0288  0.0238  0.1671  0.06
Rossi 2007   68  0.5864  0.0084  0.0468  0.0455  0.0672  0.05
Rubinstein 1939   55  0.6223  0.0167  0.0550  0.0532  0.1949  0.10
Rubinstein 1952   72  0.5587  0.0050  0.0648  0.0619  0.4442  0.16
Rubinstein 1966   40  0.687  0.0325  0.0640  0.1423  0.3634  0.22
Schilhawsky 1960   31  0.7022  0.0126  0.0517  0.3431  0.3816  0.36
Shebanova 2002   7  0.762  0.152  0.222  0.6415  0.394  0.50
Smith 1975   64  0.5990  0.0066  0.0460  0.0456  0.0481  0.04
Sokolov 2002   67  0.5846  0.0049  0.0465  0.0429  0.2150  0.09
Sztompka 1959   14  0.7420  0.0114  0.0910  0.4629  0.2815  0.36
Tomsic 1995   74  0.5533  0.0073  0.0377  0.0324  0.4145  0.11
Uninsky 1932   36  0.6963  0.0033  0.0627  0.2535  0.2628  0.25
Uninsky 1971   60  0.6027  0.0023  0.0629  0.2434  0.3324  0.28
Wasowski 1980   10  0.7532  0.0028  0.0621  0.3112  0.3618  0.33
Zak 1937   17  0.7349  0.0024  0.0623  0.2929  0.2227  0.25
Zak 1951   27  0.7045  0.0027  0.0624  0.2831  0.1931  0.23
Average   1  0.841  0.291  0.291  0.6822  0.327  0.47
Random 1   90  -0.1889  0.0090  0.0190  0.0154  0.0490  0.02
Random 2   89  -0.0447  0.0089  0.0289  0.0227  0.1969  0.06
Random 3   91  -0.1983  0.0091  0.0191  0.0155  0.0491  0.02

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).