Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.6623  0.0134  0.0632  0.1936  0.1440  0.16
Anderszewski 2003   68  0.4779  0.0043  0.0441  0.1130  0.2239  0.16
Ashkenazy 1981   50  0.5371  0.0048  0.0550  0.0575  0.0370  0.04
Bacha 2000   76  0.3812  0.0378  0.0371  0.0352  0.0564  0.04
Badura 1965   39  0.5630  0.0132  0.0634  0.1628  0.3130  0.22
Barbosa 1983   32  0.6219  0.0138  0.0437  0.1232  0.2934  0.19
Biret 1990   72  0.4482  0.0076  0.0373  0.0372  0.0386  0.03
Blet 2003   8  0.7213  0.0215  0.0611  0.4316  0.3912  0.41
Block 1995   23  0.652  0.095  0.1414  0.422  0.535  0.47
Blumental 1952   75  0.4047  0.0069  0.0363  0.0351  0.0484  0.03
Boshniakovich 1969   36  0.6165  0.0039  0.0440  0.1126  0.2538  0.17
Brailowsky 1960   41  0.5550  0.0070  0.0459  0.0450  0.0566  0.04
Bunin 1987   13  0.6834  0.0020  0.0610  0.4316  0.4211  0.42
Bunin 1987b   14  0.6831  0.0121  0.0712  0.4216  0.429  0.42
Chiu 1999   44  0.5469  0.0057  0.0554  0.0549  0.0561  0.05
Cohen 1997   82  0.2162  0.0084  0.0287  0.0271  0.0389  0.02
Cortot 1951   58  0.5086  0.0065  0.0372  0.0349  0.0672  0.04
Csalog 1996   79  0.2943  0.0087  0.0370  0.0362  0.0380  0.03
Czerny 1949   37  0.6090  0.0044  0.0443  0.1051  0.0655  0.08
Czerny 1990   11  0.7035  0.0014  0.0813  0.4232  0.2320  0.31
Duchoud 2007   47  0.5388  0.0045  0.0544  0.0944  0.1050  0.09
Ezaki 2006   9  0.7144  0.0022  0.0722  0.3437  0.1332  0.21
Falvay 1989   6  0.7326  0.0116  0.0723  0.3124  0.2822  0.29
Farrell 1958   59  0.5021  0.0140  0.0439  0.126  0.4327  0.23
Ferenczy 1958   42  0.5472  0.0063  0.0365  0.0333  0.2649  0.09
Fliere 1977   17  0.6714  0.0223  0.0721  0.3429  0.2023  0.26
Fou 1978   31  0.6327  0.0127  0.0730  0.2133  0.3124  0.26
Francois 1956   29  0.6366  0.0033  0.0731  0.2039  0.1342  0.16
Friedman 1923   88  0.1353  0.0082  0.0375  0.0331  0.2456  0.08
Friedman 1923b   87  0.1461  0.0081  0.0369  0.0329  0.2551  0.09
Friedman 1930   80  0.2559  0.0077  0.0461  0.0442  0.0958  0.06
Garcia 2007   70  0.4677  0.0054  0.0551  0.055  0.5041  0.16
Garcia 2007b   84  0.1763  0.0080  0.0377  0.0331  0.1557  0.07
Gierzod 1998   62  0.4974  0.0066  0.0374  0.0367  0.0382  0.03
Gornostaeva 1994   34  0.6220  0.0130  0.0628  0.2331  0.2131  0.22
Groot 1988   4  0.7332  0.006  0.143  0.5611  0.462  0.51
Harasiewicz 1955   5  0.736  0.054  0.185  0.5411  0.424  0.48
Hatto 1993   85  0.1751  0.0085  0.0385  0.0383  0.0290  0.02
Hatto 1997   81  0.2383  0.0083  0.0380  0.0378  0.0381  0.03
Horowitz 1949   54  0.5237  0.0049  0.0455  0.0430  0.2148  0.09
Indjic 1988   83  0.1933  0.0086  0.0368  0.0376  0.0287  0.02
Kapell 1951   52  0.5291  0.0061  0.0367  0.0358  0.0477  0.03
Kissin 1993   21  0.6515  0.0218  0.0629  0.2237  0.2133  0.21
Kushner 1989   26  0.649  0.0331  0.0727  0.2444  0.1435  0.18
Luisada 1991   49  0.5329  0.0164  0.0379  0.0371  0.0374  0.03
Lushtak 2004   16  0.6760  0.0011  0.0815  0.4024  0.3016  0.35
Malcuzynski 1961   25  0.6464  0.0024  0.0724  0.3031  0.2126  0.25
Magaloff 1978   35  0.6148  0.0029  0.0625  0.2733  0.2425  0.25
Magin 1975   45  0.5454  0.0047  0.0546  0.0536  0.1547  0.09
Michalowski 1933   78  0.3416  0.0212  0.0735  0.1539  0.2136  0.18
Milkina 1970   40  0.5641  0.0051  0.0552  0.0550  0.0563  0.05
Mohovich 1999   1  0.781  0.171  0.171  0.646  0.531  0.58
Moravec 1969   66  0.4756  0.0079  0.0382  0.0374  0.0373  0.03
Morozova 2008   20  0.6610  0.0326  0.0818  0.3412  0.2721  0.30
Neighaus 1950   22  0.653  0.083  0.134  0.5516  0.463  0.50
Niedzielski 1931   77  0.3645  0.0074  0.0386  0.0324  0.2454  0.08
Ohlsson 1999   71  0.4542  0.0072  0.0376  0.0372  0.0379  0.03
Osinska 1989   48  0.5339  0.0067  0.0383  0.0363  0.0475  0.03
Pachmann 1927   64  0.4957  0.0058  0.0462  0.0430  0.2645  0.10
Paderewski 1930   60  0.5067  0.0068  0.0381  0.0359  0.0378  0.03
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   38  0.5687  0.0060  0.0457  0.0449  0.0468  0.04
Poblocka 1999   43  0.5424  0.0152  0.0553  0.0576  0.0367  0.04
Rabcewiczowa 1932   57  0.5170  0.0062  0.0458  0.0447  0.0662  0.05
Rachmaninoff 1923   27  0.6311  0.039  0.129  0.437  0.428  0.42
Rangell 2001   74  0.4375  0.0075  0.0384  0.0354  0.0571  0.04
Richter 1976   12  0.704  0.088  0.1317  0.403  0.486  0.44
Rosen 1989   56  0.5149  0.0059  0.0366  0.0366  0.0383  0.03
Rosenthal 1930   53  0.5246  0.0046  0.0460  0.0427  0.3344  0.11
Rosenthal 1931   61  0.4984  0.0055  0.0548  0.0533  0.2146  0.10
Rosenthal 1931b   73  0.4389  0.0056  0.0547  0.0531  0.1852  0.09
Rosenthal 1931c   46  0.5373  0.0042  0.0442  0.1021  0.3437  0.18
Rosenthal 1931d   69  0.4680  0.0073  0.0378  0.0338  0.1360  0.06
Rossi 2007   51  0.5355  0.0050  0.0456  0.048  0.3043  0.11
Rubinstein 1939   86  0.1538  0.0088  0.0288  0.0270  0.0476  0.03
Rubinstein 1952   55  0.518  0.0337  0.0538  0.1248  0.0753  0.09
Rubinstein 1966   67  0.4768  0.0071  0.0364  0.0346  0.0669  0.04
Schilhawsky 1960   30  0.6385  0.0028  0.0619  0.3421  0.2919  0.31
Shebanova 2002   63  0.4925  0.0141  0.0445  0.0868  0.0459  0.06
Smith 1975   3  0.7440  0.0010  0.178  0.4527  0.2517  0.34
Sokolov 2002   18  0.6617  0.0213  0.086  0.4619  0.407  0.43
Sztompka 1959   33  0.6236  0.0017  0.0626  0.2717  0.4018  0.33
Tomsic 1995   7  0.737  0.057  0.137  0.4615  0.3910  0.42
Uninsky 1932   28  0.6352  0.0036  0.0636  0.1424  0.3529  0.22
Uninsky 1971   15  0.6828  0.0125  0.0820  0.349  0.4714  0.40
Wasowski 1980   65  0.4858  0.0053  0.0549  0.0553  0.0465  0.04
Zak 1937   24  0.6422  0.0135  0.0633  0.1829  0.2628  0.22
Zak 1951   10  0.7018  0.0119  0.0616  0.4018  0.4013  0.40
Average   2  0.765  0.062  0.122  0.5733  0.2315  0.36
Random 1   89  -0.0376  0.0089  0.0290  0.0247  0.0585  0.03
Random 2   91  -0.2981  0.0091  0.0191  0.0191  0.0191  0.01
Random 3   90  -0.1078  0.0090  0.0289  0.0278  0.0288  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).