Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   27  0.5364  0.0045  0.0845  0.0857  0.0560  0.06
Anderszewski 2003   67  0.3773  0.0048  0.0456  0.0439  0.1954  0.09
Ashkenazy 1981   36  0.5039  0.0031  0.1025  0.3352  0.0544  0.13
Bacha 2000   75  0.3059  0.0079  0.0377  0.0359  0.0479  0.03
Badura 1965   48  0.4469  0.0040  0.0539  0.1326  0.2833  0.19
Barbosa 1983   34  0.5124  0.0022  0.0635  0.1536  0.2631  0.20
Biret 1990   76  0.3086  0.0085  0.0382  0.0386  0.0289  0.02
Blet 2003   7  0.5921  0.0021  0.0716  0.4619  0.4014  0.43
Block 1995   5  0.624  0.104  0.172  0.672  0.701  0.68
Blumental 1952   66  0.3732  0.0053  0.0548  0.0548  0.0566  0.05
Boshniakovich 1969   21  0.5662  0.0023  0.0619  0.4314  0.5310  0.48
Brailowsky 1960   49  0.4441  0.0063  0.0451  0.0477  0.0381  0.03
Bunin 1987   28  0.5370  0.0035  0.0830  0.2427  0.3227  0.28
Bunin 1987b   29  0.5365  0.0036  0.1031  0.2427  0.3226  0.28
Chiu 1999   47  0.4578  0.0052  0.0550  0.0549  0.0562  0.05
Cohen 1997   82  0.2548  0.0081  0.0380  0.0371  0.0384  0.03
Cortot 1951   68  0.3766  0.0072  0.0378  0.0349  0.0677  0.04
Csalog 1996   79  0.2934  0.0080  0.0284  0.0260  0.0582  0.03
Czerny 1949   57  0.4181  0.0068  0.0455  0.0459  0.0473  0.04
Czerny 1990   13  0.5774  0.0018  0.1213  0.4925  0.2518  0.35
Duchoud 2007   58  0.4087  0.0064  0.0459  0.0455  0.0574  0.04
Ezaki 2006   22  0.5542  0.0033  0.0629  0.2751  0.0545  0.12
Falvay 1989   26  0.5354  0.0044  0.0642  0.1243  0.0850  0.10
Farrell 1958   71  0.3371  0.0066  0.0469  0.0426  0.2947  0.11
Ferenczy 1958   65  0.3888  0.0073  0.0374  0.0355  0.0572  0.04
Fliere 1977   2  0.662  0.152  0.174  0.6510  0.574  0.61
Fou 1978   25  0.5429  0.0026  0.0627  0.3132  0.2825  0.29
Francois 1956   30  0.5379  0.0034  0.0632  0.2138  0.1635  0.18
Friedman 1923   81  0.2627  0.0071  0.0381  0.0322  0.3353  0.10
Friedman 1923b   80  0.2726  0.0070  0.0383  0.0321  0.3352  0.10
Friedman 1930   78  0.2949  0.0069  0.0464  0.0442  0.1059  0.06
Garcia 2007   72  0.3355  0.0057  0.0375  0.0310  0.5742  0.13
Garcia 2007b   83  0.2356  0.0084  0.0287  0.0244  0.0978  0.04
Gierzod 1998   55  0.4167  0.0051  0.0646  0.0656  0.0565  0.05
Gornostaeva 1994   23  0.5416  0.0112  0.1020  0.4126  0.2821  0.34
Groot 1988   1  0.661  0.151  0.151  0.712  0.602  0.65
Harasiewicz 1955   4  0.636  0.056  0.245  0.628  0.428  0.51
Hatto 1993   84  0.2246  0.0082  0.0379  0.0385  0.0386  0.03
Hatto 1997   86  0.2082  0.0086  0.0372  0.0384  0.0383  0.03
Horowitz 1949   45  0.4622  0.0038  0.0541  0.1231  0.2136  0.16
Indjic 1988   85  0.2272  0.0083  0.0285  0.0284  0.0288  0.02
Kapell 1951   59  0.4089  0.0067  0.0466  0.0450  0.0570  0.04
Kissin 1993   17  0.5617  0.0125  0.0728  0.3036  0.2128  0.25
Kushner 1989   18  0.5615  0.0119  0.0722  0.3924  0.3019  0.34
Luisada 1991   41  0.4819  0.0154  0.0549  0.0546  0.0758  0.06
Lushtak 2004   32  0.5231  0.0029  0.0726  0.3236  0.1729  0.23
Malcuzynski 1961   15  0.5738  0.0017  0.0818  0.4432  0.2620  0.34
Magaloff 1978   9  0.5823  0.0010  0.129  0.5520  0.3015  0.41
Magin 1975   40  0.4940  0.0039  0.0640  0.1326  0.2534  0.18
Michalowski 1933   64  0.3857  0.0020  0.0638  0.1432  0.2732  0.19
Milkina 1970   61  0.4076  0.0061  0.0462  0.0474  0.0471  0.04
Mohovich 1999   3  0.659  0.045  0.153  0.665  0.623  0.64
Moravec 1969   63  0.3963  0.0078  0.0467  0.0451  0.0567  0.04
Morozova 2008   14  0.577  0.0511  0.117  0.5610  0.4012  0.47
Neighaus 1950   16  0.573  0.123  0.146  0.6116  0.495  0.55
Niedzielski 1931   69  0.3625  0.0065  0.0468  0.0421  0.2651  0.10
Ohlsson 1999   50  0.4310  0.0347  0.0453  0.0447  0.0663  0.05
Osinska 1989   43  0.4730  0.0056  0.0458  0.0463  0.0568  0.04
Pachmann 1927   46  0.4543  0.0046  0.0647  0.0627  0.3241  0.14
Paderewski 1930   44  0.4637  0.0041  0.0644  0.1244  0.1148  0.11
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   52  0.4251  0.0059  0.0471  0.0456  0.0469  0.04
Poblocka 1999   31  0.5214  0.0124  0.0624  0.3325  0.2624  0.29
Rabcewiczowa 1932   54  0.4283  0.0062  0.0454  0.0444  0.1357  0.07
Rachmaninoff 1923   33  0.528  0.057  0.1715  0.4710  0.499  0.48
Rangell 2001   70  0.3660  0.0077  0.0470  0.0460  0.0476  0.04
Richter 1976   6  0.605  0.088  0.1711  0.493  0.4611  0.47
Rosen 1989   37  0.5045  0.0037  0.0634  0.1536  0.1837  0.16
Rosenthal 1930   53  0.4261  0.0049  0.0457  0.0426  0.4043  0.13
Rosenthal 1931   73  0.3275  0.0074  0.0373  0.0334  0.1955  0.08
Rosenthal 1931b   77  0.2984  0.0075  0.0460  0.0434  0.1856  0.08
Rosenthal 1931c   62  0.4090  0.0050  0.0452  0.0427  0.3149  0.11
Rosenthal 1931d   74  0.3158  0.0076  0.0376  0.0354  0.0485  0.03
Rossi 2007   56  0.4128  0.0060  0.0461  0.045  0.4939  0.14
Rubinstein 1939   87  0.1650  0.0087  0.0286  0.0275  0.0387  0.02
Rubinstein 1952   42  0.4713  0.0228  0.0737  0.1435  0.1838  0.16
Rubinstein 1966   51  0.4368  0.0055  0.0465  0.0456  0.0664  0.05
Schilhawsky 1960   38  0.4952  0.0043  0.0643  0.1219  0.3830  0.21
Shebanova 2002   39  0.4911  0.0227  0.0733  0.1947  0.0746  0.12
Smith 1975   11  0.5880  0.0016  0.1017  0.4433  0.2322  0.32
Sokolov 2002   20  0.5618  0.0113  0.1112  0.4923  0.3713  0.43
Sztompka 1959   8  0.5920  0.0015  0.098  0.565  0.516  0.53
Tomsic 1995   10  0.5835  0.009  0.1114  0.4721  0.2916  0.37
Uninsky 1932   19  0.5647  0.0030  0.0921  0.3920  0.3117  0.35
Uninsky 1971   12  0.5812  0.0214  0.1410  0.538  0.527  0.52
Wasowski 1980   60  0.4077  0.0058  0.0463  0.0478  0.0380  0.03
Zak 1937   35  0.5044  0.0042  0.0536  0.1541  0.1440  0.14
Zak 1951   24  0.5436  0.0032  0.0823  0.3832  0.2623  0.31
Random 1   89  -0.0153  0.0089  0.0289  0.0244  0.0875  0.04
Random 2   90  -0.1485  0.0090  0.0190  0.0190  0.0190  0.01
Random 3   88  0.0033  0.0088  0.0288  0.0234  0.2061  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).