Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.8023  0.0111  0.104  0.5027  0.3011  0.39
Anderszewski 2003   33  0.6932  0.0052  0.0469  0.0445  0.0867  0.06
Ashkenazy 1981   50  0.6487  0.0054  0.0379  0.0346  0.0684  0.04
Bacha 2000   56  0.6260  0.0064  0.0378  0.0351  0.0579  0.04
Badura 1965   42  0.6719  0.0145  0.0456  0.0445  0.0775  0.05
Barbosa 1983   68  0.5874  0.0063  0.0375  0.0329  0.1760  0.07
Biret 1990   4  0.7724  0.0110  0.098  0.475  0.553  0.51
Blet 2003   17  0.7358  0.0021  0.0621  0.294  0.4613  0.37
Block 1995   60  0.6030  0.0161  0.0465  0.0441  0.1069  0.06
Blumental 1952   25  0.7025  0.0133  0.0732  0.2124  0.1935  0.20
Boshniakovich 1969   43  0.6638  0.0044  0.0544  0.1044  0.1345  0.11
Brailowsky 1960   44  0.6637  0.0067  0.0453  0.0436  0.1853  0.08
Bunin 1987   78  0.5177  0.0076  0.0471  0.0437  0.2251  0.09
Bunin 1987b   79  0.4859  0.0075  0.0374  0.0337  0.2355  0.08
Chiu 1999   28  0.7073  0.0047  0.0466  0.0440  0.1457  0.07
Cohen 1997   72  0.5569  0.0073  0.0382  0.0312  0.3846  0.11
Cortot 1951   34  0.6956  0.0043  0.0638  0.1423  0.3931  0.23
Csalog 1996   77  0.5242  0.0041  0.0542  0.1314  0.3832  0.22
Czerny 1949   46  0.6517  0.0128  0.0643  0.1272  0.0462  0.07
Czerny 1990   19  0.7257  0.0036  0.0631  0.2131  0.1639  0.18
Duchoud 2007   75  0.5478  0.0068  0.0461  0.0451  0.0583  0.04
Ezaki 2006   23  0.7090  0.0059  0.0462  0.0453  0.0478  0.04
Falvay 1989   55  0.624  0.0546  0.0457  0.0434  0.3643  0.12
Farrell 1958   38  0.699  0.0319  0.0919  0.3224  0.3519  0.33
Ferenczy 1958   20  0.7012  0.0316  0.0829  0.2310  0.4321  0.31
Fliere 1977   14  0.7416  0.019  0.085  0.4830  0.2120  0.32
Fou 1978   1  0.815  0.055  0.086  0.487  0.476  0.47
Francois 1956   21  0.7033  0.0040  0.0737  0.1414  0.4528  0.25
Friedman 1923   57  0.6166  0.0078  0.0454  0.0452  0.0677  0.05
Friedman 1923b   61  0.6068  0.0079  0.0452  0.0454  0.0585  0.04
Friedman 1930   58  0.6064  0.0081  0.0470  0.0453  0.0673  0.05
Garcia 2007   5  0.772  0.123  0.142  0.583  0.621  0.60
Garcia 2007b   18  0.7314  0.028  0.083  0.514  0.602  0.55
Gierzod 1998   29  0.7083  0.0029  0.0818  0.3240  0.1534  0.22
Gornostaeva 1994   62  0.6020  0.0153  0.0548  0.0536  0.1163  0.07
Groot 1988   36  0.6913  0.0220  0.0925  0.269  0.4816  0.35
Harasiewicz 1955   12  0.7484  0.0035  0.0634  0.1947  0.0647  0.11
Hatto 1993   48  0.6579  0.0057  0.0645  0.0661  0.0576  0.05
Hatto 1997   41  0.6775  0.0056  0.0646  0.0666  0.0474  0.05
Horowitz 1949   51  0.6481  0.0060  0.0550  0.0546  0.0959  0.07
Indjic 1988   40  0.6776  0.0055  0.0372  0.0364  0.0582  0.04
Kapell 1951   47  0.6510  0.032  0.1512  0.4614  0.3012  0.37
Kissin 1993   8  0.7628  0.0114  0.0913  0.4621  0.399  0.42
Kushner 1989   10  0.7518  0.016  0.087  0.4710  0.505  0.48
Luisada 1991   11  0.7429  0.0117  0.0715  0.3424  0.2522  0.29
Lushtak 2004   3  0.7811  0.0312  0.1110  0.464  0.458  0.45
Malcuzynski 1961   82  0.4546  0.0071  0.0383  0.0361  0.0486  0.03
Magaloff 1978   65  0.5862  0.0051  0.0468  0.0438  0.1754  0.08
Magin 1975   70  0.5539  0.0058  0.0455  0.0452  0.0581  0.04
Michalowski 1933   69  0.5770  0.0050  0.0451  0.0444  0.1066  0.06
Milkina 1970   31  0.6971  0.0038  0.0540  0.1431  0.2140  0.17
Mohovich 1999   37  0.6934  0.0037  0.0535  0.1740  0.1938  0.18
Moravec 1969   76  0.5265  0.0082  0.0384  0.0336  0.1952  0.08
Morozova 2008   24  0.7053  0.0030  0.0527  0.2424  0.2924  0.26
Neighaus 1950   27  0.7041  0.0042  0.0636  0.1640  0.1142  0.13
Niedzielski 1931   64  0.5955  0.0062  0.0460  0.0441  0.1358  0.07
Ohlsson 1999   53  0.6340  0.0034  0.0633  0.2033  0.1937  0.19
Osinska 1989   7  0.767  0.044  0.0811  0.4616  0.447  0.45
Pachmann 1927   49  0.6444  0.0077  0.0463  0.0433  0.1656  0.08
Paderewski 1930   22  0.7026  0.0139  0.0541  0.138  0.4429  0.24
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Pierdomenico 2008   80  0.4643  0.0069  0.0373  0.0333  0.2550  0.09
Poblocka 1999   52  0.648  0.047  0.0817  0.3325  0.3418  0.33
Rabcewiczowa 1932   15  0.7315  0.0215  0.0814  0.386  0.4310  0.40
Rachmaninoff 1923   32  0.693  0.0618  0.0830  0.2332  0.1536  0.19
Rangell 2001   87  0.3454  0.0074  0.0385  0.0352  0.0488  0.03
Richter 1976   74  0.5451  0.0070  0.0380  0.0346  0.0972  0.05
Rosen 1989   45  0.6649  0.0031  0.0624  0.2727  0.2625  0.26
Rosenthal 1930   81  0.4667  0.0080  0.0381  0.0362  0.0487  0.03
Rosenthal 1931   85  0.4152  0.0086  0.0377  0.0336  0.1661  0.07
Rosenthal 1931b   83  0.4280  0.0084  0.0386  0.0336  0.1564  0.07
Rosenthal 1931c   86  0.3885  0.0087  0.0458  0.0441  0.1465  0.07
Rosenthal 1931d   84  0.4272  0.0085  0.0287  0.0237  0.1670  0.06
Rossi 2007   67  0.5863  0.0083  0.0467  0.0454  0.0671  0.05
Rubinstein 1939   54  0.6227  0.0166  0.0549  0.0531  0.1948  0.10
Rubinstein 1952   71  0.5586  0.0049  0.0647  0.0618  0.4441  0.16
Rubinstein 1966   39  0.686  0.0424  0.0639  0.1422  0.3633  0.22
Schilhawsky 1960   30  0.7022  0.0125  0.0516  0.3430  0.3815  0.36
Shebanova 2002   6  0.761  0.221  0.221  0.6414  0.394  0.50
Smith 1975   63  0.5989  0.0065  0.0459  0.0455  0.0480  0.04
Sokolov 2002   66  0.5847  0.0048  0.0464  0.0428  0.2149  0.09
Sztompka 1959   13  0.7421  0.0113  0.109  0.4628  0.2814  0.36
Tomsic 1995   73  0.5536  0.0072  0.0376  0.0323  0.4144  0.11
Uninsky 1932   35  0.6961  0.0032  0.0626  0.2534  0.2627  0.25
Uninsky 1971   59  0.6031  0.0022  0.0628  0.2433  0.3323  0.28
Wasowski 1980   9  0.7535  0.0027  0.0620  0.3111  0.3617  0.33
Zak 1937   16  0.7350  0.0023  0.0622  0.2928  0.2226  0.25
Zak 1951   26  0.7045  0.0026  0.0623  0.2830  0.1930  0.23
Random 1   89  -0.1888  0.0089  0.0189  0.0154  0.0489  0.02
Random 2   88  -0.0448  0.0088  0.0288  0.0227  0.1968  0.06
Random 3   90  -0.1982  0.0090  0.0190  0.0155  0.0490  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).