Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.2860  0.0063  0.0462  0.0461  0.0478  0.04
Anderszewski 2003   76  0.1668  0.0074  0.0646  0.0670  0.0465  0.05
Ashkenazy 1981   19  0.4424  0.0014  0.1211  0.6634  0.3922  0.51
Bacha 2000   79  0.1361  0.0079  0.0470  0.0470  0.0473  0.04
Badura 1965   51  0.2969  0.0051  0.0645  0.0635  0.2744  0.13
Barbosa 1983   43  0.3138  0.0049  0.0553  0.0557  0.0564  0.05
Biret 1990   83  0.0872  0.0087  0.0289  0.0286  0.0289  0.02
Blet 2003   29  0.4052  0.0036  0.0934  0.4437  0.3632  0.40
Block 1995   2  0.602  0.222  0.512  0.805  0.733  0.76
Blumental 1952   52  0.2930  0.0050  0.0548  0.0552  0.0667  0.05
Boshniakovich 1969   7  0.4957  0.009  0.127  0.7219  0.5212  0.61
Brailowsky 1960   68  0.2334  0.0062  0.0467  0.0447  0.0856  0.06
Bunin 1987   62  0.2573  0.0046  0.0550  0.0554  0.0669  0.05
Bunin 1987b   61  0.2650  0.0045  0.0552  0.0553  0.0662  0.05
Chiu 1999   46  0.3176  0.0058  0.0555  0.0546  0.1053  0.07
Cohen 1997   45  0.3181  0.0056  0.0474  0.0448  0.0768  0.05
Cortot 1951   73  0.1966  0.0066  0.0479  0.0440  0.1652  0.08
Csalog 1996   44  0.3149  0.0043  0.0643  0.1338  0.2042  0.16
Czerny 1949   89  -0.0177  0.0089  0.0288  0.0280  0.0388  0.02
Czerny 1990   38  0.3458  0.0030  0.0932  0.4728  0.5126  0.49
Duchoud 2007   71  0.2078  0.0064  0.0464  0.0461  0.0579  0.04
Ezaki 2006   57  0.2723  0.0052  0.0460  0.0434  0.2749  0.10
Falvay 1989   78  0.1482  0.0081  0.0383  0.0382  0.0285  0.02
Farrell 1958   85  0.0462  0.0084  0.0284  0.0272  0.0386  0.02
Ferenczy 1958   88  0.0083  0.0086  0.0285  0.0263  0.0484  0.03
Fliere 1977   1  0.661  0.451  0.451  0.885  0.831  0.85
Fou 1978   39  0.3413  0.0134  0.1035  0.4238  0.2337  0.31
Francois 1956   42  0.3284  0.0059  0.0463  0.0436  0.3148  0.11
Friedman 1923   11  0.4811  0.0119  0.099  0.6818  0.608  0.64
Friedman 1923b   14  0.4717  0.0020  0.1410  0.6820  0.607  0.64
Friedman 1930   24  0.4237  0.0032  0.1127  0.5238  0.3928  0.45
Garcia 2007   54  0.2846  0.0038  0.1039  0.3144  0.1640  0.22
Garcia 2007b   58  0.2674  0.0073  0.0556  0.0555  0.0672  0.05
Gierzod 1998   65  0.2567  0.0042  0.1340  0.2728  0.4035  0.33
Gornostaeva 1994   28  0.4029  0.0025  0.1029  0.5010  0.6615  0.57
Groot 1988   4  0.5226  0.007  0.124  0.7616  0.539  0.63
Harasiewicz 1955   12  0.4853  0.0015  0.1112  0.6621  0.4219  0.53
Hatto 1993   56  0.2759  0.0053  0.0469  0.0457  0.0771  0.05
Hatto 1997   77  0.1485  0.0082  0.0381  0.0383  0.0383  0.03
Horowitz 1949   36  0.3542  0.0047  0.0647  0.0650  0.0758  0.06
Indjic 1988   63  0.2563  0.0057  0.0458  0.0457  0.0663  0.05
Kapell 1951   75  0.1870  0.0078  0.0472  0.0465  0.0576  0.04
Kissin 1993   26  0.4118  0.0017  0.1023  0.5722  0.5516  0.56
Kushner 1989   20  0.4320  0.0028  0.1124  0.5625  0.4325  0.49
Luisada 1991   32  0.4016  0.0039  0.0937  0.3447  0.0941  0.17
Lushtak 2004   59  0.2679  0.0060  0.0476  0.0452  0.0666  0.05
Malcuzynski 1961   8  0.499  0.0110  0.1614  0.6413  0.5810  0.61
Magaloff 1978   3  0.603  0.103  0.433  0.794  0.732  0.76
Magin 1975   21  0.4327  0.0031  0.1028  0.5123  0.5420  0.52
Michalowski 1933   22  0.4221  0.0033  0.1230  0.4925  0.4127  0.45
Milkina 1970   87  0.0186  0.0088  0.0287  0.0285  0.0287  0.02
Mohovich 1999   25  0.4236  0.0022  0.1115  0.6314  0.5513  0.59
Moravec 1969   66  0.2551  0.0061  0.0468  0.0478  0.0381  0.03
Morozova 2008   35  0.384  0.0413  0.1321  0.5826  0.3330  0.44
Neighaus 1950   31  0.406  0.0224  0.1025  0.5546  0.1039  0.23
Niedzielski 1931   27  0.4143  0.0035  0.0933  0.4538  0.2136  0.31
Ohlsson 1999   15  0.467  0.0118  0.0820  0.6027  0.3229  0.44
Osinska 1989   34  0.3844  0.0037  0.0936  0.3828  0.4531  0.41
Pachmann 1927   16  0.4647  0.0026  0.0926  0.5422  0.5318  0.53
Paderewski 1930   10  0.4922  0.004  0.1719  0.6115  0.6211  0.61
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   49  0.3045  0.0055  0.0473  0.0457  0.0575  0.04
Poblocka 1999   6  0.4915  0.006  0.126  0.732  0.704  0.71
Rabcewiczowa 1932   60  0.2655  0.0072  0.0549  0.0538  0.2150  0.10
Rachmaninoff 1923   37  0.355  0.0416  0.1031  0.4822  0.5024  0.49
Rangell 2001   69  0.2387  0.0071  0.0459  0.0454  0.0580  0.04
Richter 1976   13  0.4831  0.0011  0.1116  0.6232  0.5514  0.58
Rosen 1989   17  0.4610  0.015  0.138  0.7016  0.586  0.64
Rosenthal 1930   48  0.3028  0.0040  0.1042  0.2028  0.4138  0.29
Rosenthal 1931   82  0.1064  0.0075  0.0477  0.0448  0.0859  0.06
Rosenthal 1931b   80  0.1156  0.0077  0.0554  0.0546  0.1055  0.07
Rosenthal 1931c   72  0.2088  0.0054  0.0465  0.0438  0.2551  0.10
Rosenthal 1931d   81  0.1165  0.0076  0.0380  0.0347  0.0770  0.05
Rossi 2007   70  0.2235  0.0065  0.0471  0.049  0.5543  0.15
Rubinstein 1939   74  0.1848  0.0080  0.0466  0.0479  0.0382  0.03
Rubinstein 1952   18  0.4454  0.0027  0.1118  0.6117  0.5117  0.56
Rubinstein 1966   40  0.3340  0.0041  0.1041  0.2649  0.0646  0.12
Schilhawsky 1960   41  0.3375  0.0048  0.0461  0.0428  0.3547  0.12
Shebanova 2002   9  0.498  0.018  0.1013  0.6436  0.4121  0.51
Smith 1975   50  0.2980  0.0068  0.0557  0.0547  0.0660  0.05
Sokolov 2002   33  0.3925  0.0029  0.1138  0.3324  0.4034  0.36
Sztompka 1959   5  0.5139  0.0012  0.135  0.7415  0.565  0.64
Tomsic 1995   53  0.2832  0.0044  0.0544  0.1068  0.0457  0.06
Uninsky 1932   23  0.4214  0.0021  0.1117  0.6136  0.2633  0.40
Uninsky 1971   30  0.4012  0.0123  0.1122  0.5713  0.4323  0.50
Wasowski 1980   47  0.3089  0.0067  0.0478  0.0478  0.0474  0.04
Zak 1937   67  0.2471  0.0070  0.0551  0.0564  0.0561  0.05
Zak 1951   64  0.2533  0.0069  0.0475  0.0452  0.0577  0.04
Random 1   86  0.0141  0.0085  0.0286  0.0227  0.2654  0.07
Random 2   90  -0.0890  0.0090  0.0190  0.0184  0.0290  0.01
Random 3   84  0.0719  0.0083  0.0382  0.038  0.5545  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).