Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   56  0.2860  0.0064  0.0463  0.0462  0.0478  0.04
Anderszewski 2003   77  0.1669  0.0075  0.0647  0.0671  0.0466  0.05
Ashkenazy 1981   20  0.4428  0.0015  0.1212  0.6635  0.3922  0.51
Bacha 2000   80  0.1362  0.0080  0.0471  0.0471  0.0473  0.04
Badura 1965   52  0.2970  0.0052  0.0646  0.0636  0.2745  0.13
Barbosa 1983   44  0.3141  0.0050  0.0554  0.0558  0.0565  0.05
Biret 1990   84  0.0873  0.0088  0.0290  0.0287  0.0290  0.02
Blet 2003   30  0.4053  0.0037  0.0935  0.4438  0.3632  0.40
Block 1995   3  0.602  0.222  0.423  0.806  0.733  0.76
Blumental 1952   53  0.2929  0.0051  0.0549  0.0553  0.0667  0.05
Boshniakovich 1969   8  0.4958  0.0010  0.128  0.7220  0.5212  0.61
Brailowsky 1960   69  0.2335  0.0063  0.0468  0.0448  0.0857  0.06
Bunin 1987   63  0.2574  0.0047  0.0551  0.0555  0.0669  0.05
Bunin 1987b   62  0.2651  0.0046  0.0553  0.0554  0.0663  0.05
Chiu 1999   47  0.3177  0.0059  0.0556  0.0547  0.1053  0.07
Cohen 1997   46  0.3182  0.0057  0.0475  0.0449  0.0768  0.05
Cortot 1951   74  0.1966  0.0067  0.0380  0.0341  0.1655  0.07
Csalog 1996   45  0.3150  0.0044  0.0644  0.1339  0.2043  0.16
Czerny 1949   90  -0.0178  0.0090  0.0289  0.0281  0.0389  0.02
Czerny 1990   39  0.3461  0.0031  0.0933  0.4729  0.5126  0.49
Duchoud 2007   72  0.2079  0.0065  0.0465  0.0462  0.0579  0.04
Ezaki 2006   58  0.2724  0.0053  0.0461  0.0435  0.2750  0.10
Falvay 1989   79  0.1483  0.0082  0.0384  0.0383  0.0286  0.02
Farrell 1958   86  0.0463  0.0085  0.0285  0.0273  0.0387  0.02
Ferenczy 1958   89  0.0084  0.0087  0.0286  0.0264  0.0485  0.03
Fliere 1977   1  0.661  0.381  0.371  0.886  0.831  0.85
Fou 1978   40  0.3413  0.0135  0.1036  0.4239  0.2338  0.31
Francois 1956   43  0.3285  0.0060  0.0464  0.0437  0.3149  0.11
Friedman 1923   12  0.4812  0.0120  0.0810  0.6819  0.608  0.64
Friedman 1923b   15  0.4716  0.0021  0.1411  0.6821  0.607  0.64
Friedman 1930   25  0.4238  0.0033  0.1028  0.5239  0.3928  0.45
Garcia 2007   55  0.2847  0.0039  0.1040  0.3145  0.1640  0.22
Garcia 2007b   59  0.2675  0.0074  0.0557  0.0556  0.0672  0.05
Gierzod 1998   66  0.2567  0.0043  0.1241  0.2729  0.4036  0.33
Gornostaeva 1994   29  0.4034  0.0026  0.1030  0.5011  0.6615  0.57
Groot 1988   5  0.5230  0.008  0.125  0.7617  0.539  0.63
Harasiewicz 1955   13  0.4854  0.0016  0.1113  0.6622  0.4219  0.53
Hatto 1993   57  0.2759  0.0054  0.0470  0.0458  0.0771  0.05
Hatto 1997   78  0.1486  0.0083  0.0382  0.0384  0.0384  0.03
Horowitz 1949   37  0.3543  0.0048  0.0648  0.0651  0.0759  0.06
Indjic 1988   64  0.2564  0.0058  0.0459  0.0458  0.0664  0.05
Kapell 1951   76  0.1871  0.0079  0.0473  0.0466  0.0576  0.04
Kissin 1993   27  0.4117  0.0018  0.1024  0.5723  0.5516  0.56
Kushner 1989   21  0.4319  0.0029  0.1125  0.5626  0.4325  0.49
Luisada 1991   33  0.4014  0.0040  0.0938  0.3448  0.0942  0.17
Lushtak 2004   60  0.2680  0.0061  0.0477  0.0453  0.0580  0.04
Malcuzynski 1961   9  0.4910  0.0111  0.1615  0.6414  0.5810  0.61
Magaloff 1978   4  0.604  0.094  0.424  0.795  0.732  0.76
Magin 1975   22  0.4326  0.0032  0.1029  0.5124  0.5420  0.52
Michalowski 1933   23  0.4220  0.0034  0.1131  0.4926  0.4127  0.45
Milkina 1970   88  0.0187  0.0089  0.0288  0.0286  0.0288  0.02
Mohovich 1999   26  0.4237  0.0023  0.1116  0.6315  0.5513  0.59
Moravec 1969   67  0.2552  0.0062  0.0469  0.0479  0.0382  0.03
Morozova 2008   36  0.386  0.0314  0.1322  0.5827  0.3330  0.44
Neighaus 1950   32  0.407  0.0225  0.1026  0.5547  0.0941  0.22
Niedzielski 1931   28  0.4144  0.0036  0.0934  0.4539  0.2137  0.31
Ohlsson 1999   16  0.468  0.0119  0.0821  0.6028  0.3229  0.44
Osinska 1989   35  0.3845  0.0038  0.0937  0.3829  0.4531  0.41
Pachmann 1927   17  0.4648  0.0027  0.0927  0.5423  0.5318  0.53
Paderewski 1930   11  0.4923  0.005  0.1620  0.6116  0.6211  0.61
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   50  0.3046  0.0056  0.0474  0.0458  0.0575  0.04
Poblocka 1999   7  0.4915  0.007  0.127  0.733  0.704  0.71
Rabcewiczowa 1932   61  0.2656  0.0073  0.0550  0.0539  0.2151  0.10
Rachmaninoff 1923   38  0.355  0.0417  0.1032  0.4823  0.5024  0.49
Rangell 2001   70  0.2388  0.0072  0.0460  0.0455  0.0581  0.04
Richter 1976   14  0.4832  0.0012  0.1117  0.6233  0.5514  0.58
Rosen 1989   18  0.4611  0.016  0.139  0.7017  0.586  0.64
Rosenthal 1930   49  0.3027  0.0041  0.1043  0.2029  0.4139  0.29
Rosenthal 1931   83  0.1065  0.0076  0.0478  0.0449  0.0860  0.06
Rosenthal 1931b   81  0.1157  0.0078  0.0555  0.0547  0.1056  0.07
Rosenthal 1931c   73  0.2089  0.0055  0.0466  0.0439  0.2552  0.10
Rosenthal 1931d   82  0.1168  0.0077  0.0381  0.0348  0.0770  0.05
Rossi 2007   71  0.2236  0.0066  0.0472  0.049  0.5544  0.15
Rubinstein 1939   75  0.1849  0.0081  0.0467  0.0480  0.0383  0.03
Rubinstein 1952   19  0.4455  0.0028  0.1019  0.6118  0.5117  0.56
Rubinstein 1966   41  0.3342  0.0042  0.0942  0.2650  0.0647  0.12
Schilhawsky 1960   42  0.3376  0.0049  0.0462  0.0429  0.3548  0.12
Shebanova 2002   10  0.499  0.019  0.1014  0.6437  0.4121  0.51
Smith 1975   51  0.2981  0.0069  0.0558  0.0548  0.0661  0.05
Sokolov 2002   34  0.3925  0.0030  0.1139  0.3325  0.4035  0.36
Sztompka 1959   6  0.5139  0.0013  0.136  0.7416  0.565  0.64
Tomsic 1995   54  0.2831  0.0045  0.0545  0.1069  0.0458  0.06
Uninsky 1932   24  0.4221  0.0022  0.1118  0.6137  0.2634  0.40
Uninsky 1971   31  0.4022  0.0024  0.1123  0.5714  0.4323  0.50
Wasowski 1980   48  0.3090  0.0068  0.0479  0.0479  0.0474  0.04
Zak 1937   68  0.2472  0.0071  0.0552  0.0565  0.0562  0.05
Zak 1951   65  0.2533  0.0070  0.0476  0.0453  0.0577  0.04
Average   2  0.603  0.113  0.382  0.8736  0.1833  0.40
Random 1   87  0.0140  0.0086  0.0287  0.0228  0.2754  0.07
Random 2   91  -0.0891  0.0091  0.0191  0.0185  0.0291  0.01
Random 3   85  0.0718  0.0084  0.0383  0.038  0.5546  0.13

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).