Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.3362  0.0049  0.0471  0.0446  0.0662  0.05
Anderszewski 2003   79  0.2079  0.0078  0.0378  0.0374  0.0380  0.03
Ashkenazy 1981   17  0.3975  0.0021  0.0819  0.4534  0.2714  0.35
Bacha 2000   88  0.1547  0.0087  0.0381  0.0385  0.0286  0.02
Badura 1965   66  0.2951  0.0060  0.0472  0.0450  0.0571  0.04
Barbosa 1983   61  0.3049  0.0065  0.0557  0.0576  0.0469  0.04
Biret 1990   75  0.2489  0.0077  0.0379  0.0379  0.0382  0.03
Blet 2003   26  0.3836  0.0027  0.0822  0.4034  0.2916  0.34
Block 1995   22  0.396  0.019  0.0813  0.5236  0.2613  0.37
Blumental 1952   70  0.2718  0.0056  0.0470  0.0476  0.0473  0.04
Boshniakovich 1969   7  0.4448  0.005  0.133  0.6531  0.299  0.43
Brailowsky 1960   72  0.2546  0.0073  0.0655  0.0675  0.0451  0.05
Bunin 1987   49  0.3250  0.0066  0.0656  0.0663  0.0463  0.05
Bunin 1987b   54  0.3259  0.0067  0.0846  0.0859  0.0548  0.06
Chiu 1999   52  0.3268  0.0064  0.0649  0.0669  0.0453  0.05
Cohen 1997   58  0.3152  0.0050  0.0476  0.0454  0.0574  0.04
Cortot 1951   87  0.1572  0.0085  0.0287  0.0273  0.0390  0.02
Csalog 1996   34  0.3532  0.0035  0.0634  0.2251  0.0736  0.12
Czerny 1949   84  0.1676  0.0088  0.0288  0.0284  0.0288  0.02
Czerny 1990   43  0.3364  0.0053  0.0558  0.0575  0.0475  0.04
Duchoud 2007   78  0.2161  0.0075  0.0474  0.0461  0.0570  0.04
Ezaki 2006   68  0.2825  0.0069  0.0567  0.0560  0.0650  0.05
Falvay 1989   64  0.2957  0.0070  0.0651  0.0678  0.0454  0.05
Farrell 1958   86  0.1686  0.0086  0.0383  0.0385  0.0287  0.02
Ferenczy 1958   85  0.1690  0.0084  0.0384  0.0366  0.0481  0.03
Fliere 1977   2  0.551  0.411  0.402  0.8515  0.561  0.69
Fou 1978   37  0.3524  0.0031  0.0632  0.2777  0.0339  0.09
Francois 1956   27  0.389  0.0120  0.0816  0.4715  0.623  0.54
Friedman 1923   33  0.3615  0.0028  0.0625  0.3929  0.3812  0.38
Friedman 1923b   35  0.3523  0.0029  0.0926  0.3735  0.3315  0.35
Friedman 1930   15  0.407  0.0110  0.097  0.6022  0.502  0.55
Garcia 2007   47  0.3327  0.0036  0.0633  0.2431  0.2620  0.25
Garcia 2007b   44  0.3373  0.0054  0.0560  0.0557  0.0565  0.05
Gierzod 1998   36  0.3528  0.0023  0.0829  0.3363  0.0532  0.13
Gornostaeva 1994   13  0.4234  0.0012  0.0914  0.5234  0.3510  0.43
Groot 1988   18  0.3954  0.0024  0.0920  0.4561  0.0433  0.13
Harasiewicz 1955   9  0.4421  0.0014  0.0910  0.5677  0.0429  0.15
Hatto 1993   59  0.3182  0.0034  0.0638  0.1880  0.0446  0.08
Hatto 1997   73  0.2483  0.0072  0.0747  0.0787  0.0361  0.05
Horowitz 1949   40  0.3435  0.0061  0.0568  0.0542  0.1340  0.08
Indjic 1988   62  0.3040  0.0039  0.0742  0.1365  0.0541  0.08
Kapell 1951   69  0.2777  0.0074  0.0469  0.0480  0.0378  0.03
Kissin 1993   24  0.3853  0.0018  0.0827  0.3649  0.0826  0.17
Kushner 1989   8  0.4456  0.0015  0.138  0.5948  0.0822  0.22
Luisada 1991   19  0.3929  0.0026  0.0728  0.3459  0.0630  0.14
Lushtak 2004   67  0.2858  0.0063  0.0654  0.0678  0.0372  0.04
Malcuzynski 1961   16  0.4038  0.0025  0.0724  0.3954  0.0531  0.14
Magaloff 1978   11  0.4220  0.0011  0.0817  0.4743  0.1221  0.24
Magin 1975   6  0.4411  0.017  0.0912  0.5327  0.377  0.44
Michalowski 1933   48  0.3313  0.0142  0.0543  0.1334  0.2625  0.18
Milkina 1970   77  0.2291  0.0079  0.0563  0.0581  0.0367  0.04
Mohovich 1999   21  0.3939  0.0022  0.1015  0.5243  0.0923  0.22
Moravec 1969   57  0.3141  0.0059  0.0475  0.0480  0.0376  0.03
Morozova 2008   39  0.345  0.0132  0.0736  0.2077  0.0343  0.08
Neighaus 1950   30  0.3733  0.0033  0.0630  0.2849  0.0634  0.13
Niedzielski 1931   65  0.2942  0.0055  0.0562  0.0552  0.0556  0.05
Ohlsson 1999   14  0.4116  0.0013  0.0811  0.5445  0.1219  0.25
Osinska 1989   10  0.4355  0.008  0.089  0.5933  0.2911  0.41
Pachmann 1927   25  0.3817  0.0040  0.0840  0.1828  0.3618  0.25
Paderewski 1930   20  0.3922  0.0016  0.1021  0.4412  0.594  0.51
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   42  0.3426  0.0062  0.0565  0.0563  0.0466  0.04
Poblocka 1999   32  0.3637  0.0047  0.0653  0.0674  0.0452  0.05
Rabcewiczowa 1932   56  0.3174  0.0046  0.0566  0.0559  0.0657  0.05
Rachmaninoff 1923   76  0.2319  0.0045  0.0545  0.1167  0.0447  0.07
Rangell 2001   63  0.3081  0.0068  0.0648  0.0670  0.0464  0.05
Richter 1976   31  0.3666  0.0051  0.0559  0.0568  0.0560  0.05
Rosen 1989   5  0.443  0.044  0.335  0.6319  0.396  0.50
Rosenthal 1930   71  0.2612  0.0144  0.0544  0.1149  0.0645  0.08
Rosenthal 1931   83  0.1745  0.0083  0.0385  0.0373  0.0479  0.03
Rosenthal 1931b   81  0.1744  0.0080  0.0380  0.0375  0.0384  0.03
Rosenthal 1931c   80  0.2088  0.0076  0.0477  0.0476  0.0385  0.03
Rosenthal 1931d   82  0.1787  0.0082  0.0382  0.0381  0.0383  0.03
Rossi 2007   51  0.328  0.0143  0.0541  0.145  0.6417  0.30
Rubinstein 1939   74  0.2465  0.0081  0.0386  0.0379  0.0377  0.03
Rubinstein 1952   12  0.4210  0.0117  0.0823  0.4051  0.0728  0.17
Rubinstein 1966   29  0.3784  0.0038  0.0739  0.1867  0.0442  0.08
Schilhawsky 1960   38  0.3563  0.0048  0.0561  0.0547  0.0749  0.06
Shebanova 2002   4  0.454  0.023  0.276  0.6235  0.318  0.44
Smith 1975   60  0.3060  0.0071  0.0650  0.0662  0.0555  0.05
Sokolov 2002   41  0.3443  0.0030  0.0635  0.2054  0.0537  0.10
Sztompka 1959   3  0.4630  0.006  0.134  0.6426  0.395  0.50
Tomsic 1995   50  0.3285  0.0052  0.0564  0.0558  0.0559  0.05
Uninsky 1932   45  0.3367  0.0041  0.0537  0.2082  0.0344  0.08
Uninsky 1971   23  0.3931  0.0019  0.0818  0.4756  0.0627  0.17
Wasowski 1980   28  0.3870  0.0037  0.0831  0.2855  0.0535  0.12
Zak 1937   55  0.3269  0.0058  0.0652  0.0676  0.0458  0.05
Zak 1951   53  0.3271  0.0057  0.0473  0.0472  0.0468  0.04
Average   1  0.562  0.352  0.661  0.8672  0.0424  0.19
Random 1   90  -0.0378  0.0090  0.0290  0.0273  0.0289  0.02
Random 2   91  -0.0780  0.0091  0.0191  0.0186  0.0291  0.01
Random 3   89  0.0114  0.0189  0.0289  0.023  0.5438  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).