Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   18  0.6624  0.0133  0.0631  0.1935  0.1439  0.16
Anderszewski 2003   67  0.4778  0.0042  0.0440  0.1129  0.2238  0.16
Ashkenazy 1981   49  0.5370  0.0047  0.0549  0.0574  0.0369  0.04
Bacha 2000   75  0.3811  0.0377  0.0370  0.0351  0.0563  0.04
Badura 1965   38  0.5632  0.0131  0.0633  0.1627  0.3129  0.22
Barbosa 1983   31  0.6218  0.0137  0.0536  0.1231  0.2933  0.19
Biret 1990   71  0.4479  0.0075  0.0372  0.0371  0.0385  0.03
Blet 2003   7  0.7212  0.0214  0.0710  0.4315  0.3912  0.41
Block 1995   22  0.652  0.094  0.1413  0.422  0.535  0.47
Blumental 1952   74  0.4046  0.0068  0.0362  0.0350  0.0483  0.03
Boshniakovich 1969   35  0.6164  0.0038  0.0439  0.1125  0.2537  0.17
Brailowsky 1960   40  0.5550  0.0069  0.0458  0.0449  0.0565  0.04
Bunin 1987   12  0.6834  0.0019  0.069  0.4315  0.4211  0.42
Bunin 1987b   13  0.6831  0.0120  0.0711  0.4215  0.429  0.42
Chiu 1999   43  0.5468  0.0056  0.0553  0.0548  0.0560  0.05
Cohen 1997   81  0.2161  0.0083  0.0286  0.0270  0.0388  0.02
Cortot 1951   57  0.5085  0.0064  0.0371  0.0348  0.0671  0.04
Csalog 1996   78  0.2942  0.0086  0.0369  0.0361  0.0379  0.03
Czerny 1949   36  0.6089  0.0043  0.0442  0.1050  0.0654  0.08
Czerny 1990   10  0.7035  0.0013  0.0812  0.4231  0.2319  0.31
Duchoud 2007   46  0.5387  0.0044  0.0543  0.0943  0.1049  0.09
Ezaki 2006   8  0.7143  0.0021  0.0721  0.3436  0.1331  0.21
Falvay 1989   5  0.7327  0.0115  0.0722  0.3123  0.2821  0.29
Farrell 1958   58  0.5020  0.0139  0.0438  0.125  0.4326  0.23
Ferenczy 1958   41  0.5471  0.0062  0.0364  0.0332  0.2648  0.09
Fliere 1977   16  0.6713  0.0222  0.0820  0.3428  0.2022  0.26
Fou 1978   30  0.6328  0.0126  0.0829  0.2132  0.3123  0.26
Francois 1956   28  0.6365  0.0032  0.0730  0.2038  0.1341  0.16
Friedman 1923   87  0.1352  0.0081  0.0374  0.0331  0.2455  0.08
Friedman 1923b   86  0.1460  0.0080  0.0368  0.0329  0.2550  0.09
Friedman 1930   79  0.2559  0.0076  0.0460  0.0441  0.0957  0.06
Garcia 2007   69  0.4676  0.0053  0.0550  0.055  0.5040  0.16
Garcia 2007b   83  0.1762  0.0079  0.0376  0.0331  0.1556  0.07
Gierzod 1998   61  0.4973  0.0065  0.0373  0.0366  0.0381  0.03
Gornostaeva 1994   33  0.6219  0.0129  0.0627  0.2330  0.2130  0.22
Groot 1988   3  0.7323  0.015  0.142  0.5610  0.462  0.51
Harasiewicz 1955   4  0.735  0.053  0.184  0.5410  0.424  0.48
Hatto 1993   84  0.1751  0.0084  0.0384  0.0382  0.0289  0.02
Hatto 1997   80  0.2382  0.0082  0.0379  0.0377  0.0380  0.03
Horowitz 1949   53  0.5237  0.0048  0.0454  0.0429  0.2147  0.09
Indjic 1988   82  0.1933  0.0085  0.0367  0.0375  0.0286  0.02
Kapell 1951   51  0.5290  0.0060  0.0366  0.0357  0.0476  0.03
Kissin 1993   20  0.6514  0.0217  0.0628  0.2236  0.2132  0.21
Kushner 1989   25  0.648  0.0330  0.0726  0.2443  0.1434  0.18
Luisada 1991   48  0.5330  0.0163  0.0378  0.0370  0.0373  0.03
Lushtak 2004   15  0.6756  0.0010  0.0814  0.4023  0.3015  0.35
Malcuzynski 1961   24  0.6463  0.0023  0.0723  0.3030  0.2125  0.25
Magaloff 1978   34  0.6147  0.0028  0.0624  0.2732  0.2424  0.25
Magin 1975   44  0.5454  0.0046  0.0545  0.0535  0.1546  0.09
Michalowski 1933   77  0.3415  0.0211  0.0834  0.1538  0.2135  0.18
Milkina 1970   39  0.5640  0.0050  0.0551  0.0549  0.0562  0.05
Mohovich 1999   1  0.781  0.211  0.201  0.645  0.531  0.58
Moravec 1969   65  0.4755  0.0078  0.0381  0.0373  0.0372  0.03
Morozova 2008   19  0.669  0.0325  0.0817  0.3411  0.2720  0.30
Neighaus 1950   21  0.653  0.082  0.143  0.5515  0.463  0.50
Niedzielski 1931   76  0.3644  0.0073  0.0385  0.0323  0.2453  0.08
Ohlsson 1999   70  0.4541  0.0071  0.0375  0.0371  0.0378  0.03
Osinska 1989   47  0.5339  0.0066  0.0382  0.0362  0.0474  0.03
Pachmann 1927   63  0.4957  0.0057  0.0461  0.0429  0.2644  0.10
Paderewski 1930   59  0.5066  0.0067  0.0380  0.0358  0.0377  0.03
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   37  0.5686  0.0059  0.0456  0.0448  0.0467  0.04
Poblocka 1999   42  0.5425  0.0151  0.0552  0.0575  0.0366  0.04
Rabcewiczowa 1932   56  0.5169  0.0061  0.0457  0.0446  0.0661  0.05
Rachmaninoff 1923   26  0.6310  0.038  0.128  0.436  0.428  0.42
Rangell 2001   73  0.4374  0.0074  0.0383  0.0353  0.0570  0.04
Richter 1976   11  0.704  0.087  0.1316  0.403  0.486  0.44
Rosen 1989   55  0.5148  0.0058  0.0365  0.0365  0.0382  0.03
Rosenthal 1930   52  0.5245  0.0045  0.0459  0.0426  0.3343  0.11
Rosenthal 1931   60  0.4983  0.0054  0.0547  0.0532  0.2145  0.10
Rosenthal 1931b   72  0.4388  0.0055  0.0546  0.0530  0.1851  0.09
Rosenthal 1931c   45  0.5372  0.0041  0.0441  0.1020  0.3436  0.18
Rosenthal 1931d   68  0.4680  0.0072  0.0377  0.0337  0.1359  0.06
Rossi 2007   50  0.5353  0.0049  0.0455  0.048  0.3042  0.11
Rubinstein 1939   85  0.1538  0.0087  0.0287  0.0269  0.0475  0.03
Rubinstein 1952   54  0.517  0.0336  0.0537  0.1247  0.0752  0.09
Rubinstein 1966   66  0.4767  0.0070  0.0363  0.0345  0.0668  0.04
Schilhawsky 1960   29  0.6384  0.0027  0.0618  0.3420  0.2918  0.31
Shebanova 2002   62  0.4926  0.0140  0.0444  0.0867  0.0458  0.06
Smith 1975   2  0.7422  0.019  0.177  0.4526  0.2516  0.34
Sokolov 2002   17  0.6616  0.0212  0.085  0.4618  0.407  0.43
Sztompka 1959   32  0.6236  0.0016  0.0625  0.2716  0.4017  0.33
Tomsic 1995   6  0.736  0.056  0.136  0.4614  0.3910  0.42
Uninsky 1932   27  0.6349  0.0035  0.0635  0.1423  0.3528  0.22
Uninsky 1971   14  0.6829  0.0124  0.0819  0.348  0.4714  0.40
Wasowski 1980   64  0.4858  0.0052  0.0548  0.0552  0.0464  0.04
Zak 1937   23  0.6421  0.0134  0.0632  0.1828  0.2627  0.22
Zak 1951   9  0.7017  0.0118  0.0615  0.4017  0.4013  0.40
Random 1   88  -0.0375  0.0088  0.0289  0.0247  0.0584  0.03
Random 2   90  -0.2981  0.0090  0.0190  0.0190  0.0190  0.01
Random 3   89  -0.1077  0.0089  0.0288  0.0277  0.0287  0.02

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).