Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.3534  0.0053  0.0652  0.0639  0.2346  0.12
Anderszewski 2003   75  0.1867  0.0072  0.0473  0.0445  0.0768  0.05
Ashkenazy 1981   3  0.523  0.135  0.235  0.6621  0.639  0.64
Bacha 2000   38  0.3653  0.0018  0.1023  0.3911  0.5421  0.46
Badura 1965   37  0.3642  0.0037  0.0538  0.1910  0.5627  0.33
Barbosa 1983   39  0.3517  0.0156  0.0555  0.0537  0.1949  0.10
Biret 1990   88  0.0286  0.0088  0.0289  0.0285  0.0290  0.02
Blet 2003   57  0.3048  0.0066  0.0749  0.0759  0.0662  0.06
Block 1995   12  0.4712  0.019  0.2111  0.5914  0.5812  0.58
Blumental 1952   18  0.4215  0.0111  0.1617  0.538  0.6413  0.58
Boshniakovich 1969   11  0.4729  0.0014  0.1212  0.5921  0.5116  0.55
Brailowsky 1960   73  0.1968  0.0078  0.0467  0.0462  0.0572  0.04
Bunin 1987   23  0.4074  0.0033  0.0728  0.2826  0.4326  0.35
Bunin 1987b   26  0.4038  0.0034  0.0629  0.2628  0.4029  0.32
Chiu 1999   31  0.3827  0.0048  0.0566  0.0551  0.0761  0.06
Cohen 1997   55  0.3024  0.0060  0.0557  0.0535  0.3442  0.13
Cortot 1951   70  0.2258  0.0050  0.0558  0.0531  0.3544  0.13
Csalog 1996   68  0.2252  0.0067  0.0556  0.0566  0.0567  0.05
Czerny 1949   85  0.0987  0.0081  0.0382  0.0347  0.0769  0.05
Czerny 1990   58  0.3088  0.0061  0.0654  0.0654  0.0764  0.06
Duchoud 2007   78  0.1737  0.0075  0.0375  0.0366  0.0484  0.03
Ezaki 2006   41  0.3526  0.0032  0.0637  0.1925  0.5030  0.31
Falvay 1989   72  0.2069  0.0070  0.0470  0.0463  0.0474  0.04
Farrell 1958   81  0.1251  0.0085  0.0283  0.0274  0.0388  0.02
Ferenczy 1958   83  0.1145  0.0082  0.0285  0.0242  0.2558  0.07
Fliere 1977   5  0.5110  0.0213  0.138  0.6232  0.4815  0.55
Fou 1978   32  0.3825  0.0039  0.0534  0.2036  0.2335  0.21
Francois 1956   80  0.1689  0.0080  0.0381  0.0368  0.0387  0.03
Friedman 1923   24  0.4019  0.0138  0.0535  0.2044  0.1838  0.19
Friedman 1923b   28  0.3975  0.0042  0.0641  0.1353  0.0850  0.10
Friedman 1930   16  0.4518  0.0122  0.1116  0.5527  0.5418  0.54
Garcia 2007   61  0.2865  0.0029  0.0639  0.1736  0.2537  0.21
Garcia 2007b   35  0.3722  0.0124  0.1127  0.2820  0.5423  0.39
Gierzod 1998   15  0.462  0.142  0.159  0.605  0.774  0.68
Gornostaeva 1994   71  0.2183  0.0074  0.0471  0.0460  0.0578  0.04
Groot 1988   22  0.4120  0.0135  0.0631  0.2247  0.0843  0.13
Harasiewicz 1955   27  0.4084  0.0040  0.0736  0.1966  0.0452  0.09
Hatto 1993   30  0.3981  0.0025  0.0824  0.3842  0.1733  0.25
Hatto 1997   63  0.2730  0.0052  0.0845  0.0845  0.0757  0.07
Horowitz 1949   45  0.3370  0.0059  0.0747  0.0749  0.0855  0.07
Indjic 1988   25  0.4021  0.0120  0.1021  0.4725  0.4122  0.44
Kapell 1951   66  0.2435  0.0071  0.0474  0.0460  0.0665  0.05
Kissin 1993   4  0.5116  0.018  0.156  0.6612  0.743  0.70
Kushner 1989   1  0.541  0.271  0.271  0.764  0.781  0.77
Luisada 1991   36  0.3666  0.0057  0.0750  0.0758  0.0660  0.06
Lushtak 2004   10  0.4813  0.0110  0.167  0.641  0.735  0.68
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   8  0.494  0.113  0.232  0.717  0.722  0.71
Magin 1975   7  0.498  0.027  0.1710  0.5914  0.707  0.64
Michalowski 1933   49  0.3277  0.0058  0.0748  0.0756  0.0756  0.07
Milkina 1970   84  0.1062  0.0086  0.0380  0.0371  0.0382  0.03
Mohovich 1999   50  0.3254  0.0051  0.0751  0.0746  0.0859  0.07
Moravec 1969   46  0.3323  0.0144  0.0544  0.1044  0.1047  0.10
Morozova 2008   21  0.427  0.0415  0.1322  0.4325  0.3424  0.38
Neighaus 1950   60  0.2959  0.0064  0.0560  0.0575  0.0479  0.04
Niedzielski 1931   19  0.4214  0.0119  0.0818  0.5018  0.4820  0.49
Ohlsson 1999   29  0.3936  0.0026  0.0725  0.3431  0.2831  0.31
Osinska 1989   74  0.1878  0.0073  0.0377  0.0372  0.0380  0.03
Pachmann 1927   20  0.4246  0.0023  0.1520  0.4818  0.6117  0.54
Paderewski 1930   17  0.4460  0.0021  0.1119  0.4913  0.6414  0.56
Perlemuter 1992   6  0.496  0.0412  0.1013  0.5814  0.6410  0.61
Pierdomenico 2008   34  0.3743  0.0045  0.0562  0.0529  0.3045  0.12
Poblocka 1999   59  0.3028  0.0028  0.0643  0.1354  0.0553  0.08
Rabcewiczowa 1932   82  0.1271  0.0084  0.0284  0.0263  0.0581  0.03
Rachmaninoff 1923   62  0.2732  0.0065  0.0561  0.0577  0.0373  0.04
Rangell 2001   69  0.2272  0.0077  0.0378  0.0371  0.0486  0.03
Richter 1976   14  0.4664  0.0017  0.1514  0.5830  0.6111  0.59
Rosen 1989   42  0.3544  0.0047  0.0564  0.0552  0.0570  0.05
Rosenthal 1930   76  0.1863  0.0083  0.0286  0.0274  0.0389  0.02
Rosenthal 1931   64  0.2661  0.0049  0.0565  0.0520  0.5840  0.17
Rosenthal 1931b   65  0.2555  0.0062  0.0746  0.0728  0.4839  0.18
Rosenthal 1931c   52  0.3157  0.0030  0.0732  0.2117  0.5228  0.33
Rosenthal 1931d   79  0.1779  0.0068  0.0472  0.0440  0.2151  0.09
Rossi 2007   86  0.0890  0.0079  0.0379  0.0332  0.2254  0.08
Rubinstein 1939   77  0.1885  0.0076  0.0376  0.0358  0.0576  0.04
Rubinstein 1952   48  0.3233  0.0036  0.0530  0.2229  0.3832  0.29
Rubinstein 1966   53  0.3149  0.0046  0.0563  0.0546  0.0763  0.06
Schilhawsky 1960   54  0.3050  0.0055  0.0653  0.0620  0.4441  0.16
Shebanova 2002   2  0.5311  0.016  0.204  0.6925  0.608  0.64
Smith 1975   67  0.2241  0.0069  0.0468  0.0466  0.0475  0.04
Sokolov 2002   47  0.3331  0.0027  0.0733  0.2036  0.2334  0.21
Sztompka 1959   13  0.469  0.0216  0.1215  0.5721  0.5019  0.53
Tomsic 1995   33  0.3847  0.0031  0.0626  0.3115  0.4025  0.35
Uninsky 1932   9  0.485  0.054  0.203  0.7112  0.606  0.65
Uninsky 1971   44  0.3340  0.0041  0.0640  0.1549  0.0748  0.10
Wasowski 1980   56  0.3039  0.0063  0.0469  0.0461  0.0571  0.04
Zak 1937   51  0.3176  0.0054  0.0559  0.0552  0.0666  0.05
Zak 1951   43  0.3480  0.0043  0.0742  0.1330  0.3336  0.21
Random 1   89  0.0073  0.0089  0.0288  0.0259  0.0485  0.03
Random 2   87  0.0456  0.0087  0.0287  0.0246  0.0683  0.03
Random 3   90  -0.0382  0.0090  0.0190  0.0132  0.1677  0.04

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).