Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.3361  0.0048  0.0470  0.0445  0.0662  0.05
Anderszewski 2003   78  0.2078  0.0077  0.0477  0.0473  0.0381  0.03
Ashkenazy 1981   16  0.3971  0.0020  0.0818  0.4533  0.2714  0.35
Bacha 2000   87  0.1547  0.0086  0.0380  0.0384  0.0377  0.03
Badura 1965   65  0.2950  0.0059  0.0471  0.0449  0.0572  0.04
Barbosa 1983   60  0.3048  0.0064  0.0656  0.0675  0.0460  0.05
Biret 1990   74  0.2488  0.0076  0.0378  0.0378  0.0382  0.03
Blet 2003   25  0.3837  0.0026  0.0821  0.4033  0.2916  0.34
Block 1995   21  0.396  0.018  0.0812  0.5235  0.2613  0.37
Blumental 1952   69  0.2718  0.0055  0.0469  0.0475  0.0474  0.04
Boshniakovich 1969   6  0.4446  0.004  0.142  0.6530  0.299  0.43
Brailowsky 1960   71  0.2545  0.0072  0.0654  0.0674  0.0450  0.05
Bunin 1987   48  0.3249  0.0065  0.0655  0.0662  0.0463  0.05
Bunin 1987b   53  0.3258  0.0066  0.0845  0.0858  0.0547  0.06
Chiu 1999   51  0.3269  0.0063  0.0648  0.0668  0.0452  0.05
Cohen 1997   57  0.3151  0.0049  0.0475  0.0453  0.0575  0.04
Cortot 1951   86  0.1572  0.0084  0.0286  0.0272  0.0389  0.02
Csalog 1996   33  0.3534  0.0034  0.0633  0.2250  0.0735  0.12
Czerny 1949   83  0.1675  0.0087  0.0287  0.0283  0.0287  0.02
Czerny 1990   42  0.3364  0.0052  0.0557  0.0574  0.0476  0.04
Duchoud 2007   77  0.2160  0.0074  0.0473  0.0460  0.0571  0.04
Ezaki 2006   67  0.2828  0.0068  0.0566  0.0559  0.0649  0.05
Falvay 1989   63  0.2956  0.0069  0.0650  0.0677  0.0453  0.05
Farrell 1958   85  0.1685  0.0085  0.0382  0.0384  0.0286  0.02
Ferenczy 1958   84  0.1689  0.0083  0.0383  0.0365  0.0570  0.04
Fliere 1977   1  0.551  0.671  0.661  0.8514  0.561  0.69
Fou 1978   36  0.3525  0.0030  0.0631  0.2776  0.0338  0.09
Francois 1956   26  0.3810  0.0119  0.0815  0.4714  0.623  0.54
Friedman 1923   32  0.3615  0.0127  0.0624  0.3928  0.3812  0.38
Friedman 1923b   34  0.3523  0.0028  0.0925  0.3734  0.3315  0.35
Friedman 1930   14  0.409  0.019  0.096  0.6021  0.502  0.55
Garcia 2007   46  0.3330  0.0035  0.0632  0.2430  0.2620  0.25
Garcia 2007b   43  0.3373  0.0053  0.0559  0.0556  0.0565  0.05
Gierzod 1998   35  0.3526  0.0022  0.0828  0.3362  0.0531  0.13
Gornostaeva 1994   12  0.4222  0.0011  0.0913  0.5233  0.3510  0.43
Groot 1988   17  0.3954  0.0023  0.0919  0.4560  0.0432  0.13
Harasiewicz 1955   8  0.4420  0.0013  0.099  0.5676  0.0428  0.15
Hatto 1993   58  0.3181  0.0033  0.0637  0.1879  0.0445  0.08
Hatto 1997   72  0.2482  0.0071  0.0746  0.0786  0.0361  0.05
Horowitz 1949   39  0.3436  0.0060  0.0567  0.0541  0.1339  0.08
Indjic 1988   61  0.3040  0.0038  0.0741  0.1364  0.0540  0.08
Kapell 1951   68  0.2776  0.0073  0.0568  0.0579  0.0467  0.04
Kissin 1993   23  0.3852  0.0017  0.0926  0.3648  0.0826  0.17
Kushner 1989   7  0.4453  0.0014  0.137  0.5947  0.0822  0.22
Luisada 1991   18  0.3931  0.0025  0.0827  0.3458  0.0629  0.14
Lushtak 2004   66  0.2857  0.0062  0.0653  0.0677  0.0373  0.04
Malcuzynski 1961   15  0.4024  0.0024  0.0723  0.3953  0.0530  0.14
Magaloff 1978   10  0.424  0.0210  0.0816  0.4742  0.1221  0.24
Magin 1975   5  0.4411  0.016  0.0911  0.5326  0.377  0.44
Michalowski 1933   47  0.3313  0.0141  0.0542  0.1333  0.2624  0.18
Milkina 1970   76  0.2290  0.0078  0.0562  0.0580  0.0368  0.04
Mohovich 1999   20  0.3939  0.0021  0.1014  0.5242  0.0923  0.22
Moravec 1969   56  0.3141  0.0058  0.0474  0.0479  0.0378  0.03
Morozova 2008   38  0.345  0.0231  0.0735  0.2076  0.0342  0.08
Neighaus 1950   29  0.3735  0.0032  0.0629  0.2848  0.0633  0.13
Niedzielski 1931   64  0.2942  0.0054  0.0561  0.0551  0.0555  0.05
Ohlsson 1999   13  0.4116  0.0112  0.0910  0.5444  0.1219  0.25
Osinska 1989   9  0.4355  0.007  0.088  0.5932  0.2911  0.41
Pachmann 1927   24  0.3817  0.0039  0.0839  0.1827  0.3618  0.25
Paderewski 1930   19  0.3921  0.0015  0.1020  0.4411  0.594  0.51
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   41  0.3429  0.0061  0.0564  0.0562  0.0466  0.04
Poblocka 1999   31  0.3638  0.0046  0.0652  0.0673  0.0451  0.05
Rabcewiczowa 1932   55  0.3174  0.0045  0.0565  0.0558  0.0656  0.05
Rachmaninoff 1923   75  0.2319  0.0044  0.0644  0.1166  0.0446  0.07
Rangell 2001   62  0.3080  0.0067  0.0647  0.0669  0.0464  0.05
Richter 1976   30  0.3665  0.0050  0.0558  0.0567  0.0559  0.05
Rosen 1989   4  0.442  0.083  0.334  0.6318  0.396  0.50
Rosenthal 1930   70  0.267  0.0143  0.0543  0.1148  0.0644  0.08
Rosenthal 1931   82  0.1744  0.0082  0.0384  0.0372  0.0480  0.03
Rosenthal 1931b   80  0.1743  0.0079  0.0379  0.0374  0.0384  0.03
Rosenthal 1931c   79  0.2087  0.0075  0.0476  0.0475  0.0385  0.03
Rosenthal 1931d   81  0.1786  0.0081  0.0381  0.0380  0.0383  0.03
Rossi 2007   50  0.328  0.0142  0.0540  0.144  0.6417  0.30
Rubinstein 1939   73  0.2463  0.0080  0.0385  0.0378  0.0379  0.03
Rubinstein 1952   11  0.4212  0.0116  0.0822  0.4050  0.0825  0.18
Rubinstein 1966   28  0.3783  0.0037  0.0738  0.1866  0.0441  0.08
Schilhawsky 1960   37  0.3562  0.0047  0.0560  0.0546  0.0748  0.06
Shebanova 2002   3  0.453  0.032  0.275  0.6234  0.318  0.44
Smith 1975   59  0.3059  0.0070  0.0649  0.0661  0.0554  0.05
Sokolov 2002   40  0.3432  0.0029  0.0634  0.2053  0.0536  0.10
Sztompka 1959   2  0.4633  0.005  0.133  0.6425  0.395  0.50
Tomsic 1995   49  0.3284  0.0051  0.0563  0.0557  0.0558  0.05
Uninsky 1932   44  0.3366  0.0040  0.0536  0.2081  0.0343  0.08
Uninsky 1971   22  0.3927  0.0018  0.0817  0.4755  0.0627  0.17
Wasowski 1980   27  0.3867  0.0036  0.0930  0.2854  0.0534  0.12
Zak 1937   54  0.3268  0.0057  0.0651  0.0675  0.0457  0.05
Zak 1951   52  0.3270  0.0056  0.0472  0.0471  0.0469  0.04
Random 1   89  -0.0377  0.0089  0.0289  0.0273  0.0288  0.02
Random 2   90  -0.0779  0.0090  0.0190  0.0185  0.0290  0.01
Random 3   88  0.0114  0.0188  0.0288  0.023  0.5337  0.10

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).