Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.7236  0.0031  0.0824  0.4345  0.1136  0.22
Anderszewski 2003   25  0.707  0.0222  0.0630  0.3311  0.3726  0.35
Ashkenazy 1981   45  0.6667  0.0048  0.0750  0.0775  0.0373  0.05
Bacha 2000   15  0.7364  0.0014  0.0713  0.483  0.5210  0.50
Badura 1965   76  0.5458  0.0073  0.0478  0.0472  0.0482  0.04
Barbosa 1983   63  0.5935  0.0017  0.0831  0.335  0.5117  0.41
Biret 1990   6  0.7822  0.018  0.156  0.587  0.545  0.56
Blet 2003   44  0.6641  0.0055  0.0656  0.0632  0.2253  0.11
Block 1995   70  0.5618  0.0123  0.0736  0.2711  0.3728  0.32
Blumental 1952   36  0.6812  0.0120  0.0619  0.4612  0.2824  0.36
Boshniakovich 1969   62  0.5960  0.0058  0.0563  0.0559  0.0572  0.05
Brailowsky 1960   9  0.7528  0.0027  0.0833  0.305  0.5219  0.39
Bunin 1987   86  0.3761  0.0088  0.0481  0.0462  0.0583  0.04
Bunin 1987b   88  0.3674  0.0087  0.0473  0.0462  0.0576  0.04
Chiu 1999   41  0.6724  0.0018  0.0828  0.3714  0.3325  0.35
Cohen 1997   84  0.5053  0.0075  0.0484  0.0418  0.3450  0.12
Cortot 1951   52  0.6279  0.0062  0.0657  0.0642  0.1164  0.08
Csalog 1996   57  0.6054  0.0036  0.0838  0.253  0.5123  0.36
Czerny 1949   66  0.5783  0.0066  0.0566  0.0566  0.0480  0.04
Czerny 1990   18  0.7272  0.0021  0.0823  0.4326  0.2727  0.34
Duchoud 2007   72  0.5670  0.0057  0.0561  0.0528  0.2257  0.10
Ezaki 2006   8  0.7614  0.0111  0.0910  0.5414  0.4412  0.49
Falvay 1989   30  0.6817  0.0153  0.0659  0.065  0.5439  0.18
Farrell 1958   23  0.7029  0.0015  0.0817  0.4610  0.5115  0.48
Ferenczy 1958   51  0.6244  0.0061  0.0564  0.0529  0.2056  0.10
Fliere 1977   16  0.7226  0.0035  0.0829  0.3558  0.0448  0.12
Fou 1978   14  0.7313  0.0116  0.0811  0.527  0.4811  0.50
Francois 1956   37  0.6742  0.0047  0.0565  0.0517  0.4346  0.15
Friedman 1923   56  0.6051  0.0070  0.0567  0.0566  0.0485  0.04
Friedman 1923b   58  0.6068  0.0069  0.0385  0.0359  0.0584  0.04
Friedman 1930   55  0.6186  0.0076  0.0476  0.0486  0.0389  0.03
Garcia 2007   46  0.6575  0.0052  0.0847  0.0845  0.1358  0.10
Garcia 2007b   33  0.6869  0.0049  0.0946  0.0939  0.1551  0.12
Gierzod 1998   21  0.7119  0.0133  0.0827  0.3847  0.0941  0.18
Gornostaeva 1994   38  0.6749  0.0045  0.0645  0.1217  0.3137  0.19
Groot 1988   10  0.746  0.036  0.178  0.561  0.634  0.59
Harasiewicz 1955   43  0.6632  0.0042  0.0939  0.2149  0.0654  0.11
Hatto 1993   68  0.5739  0.0063  0.0654  0.0669  0.0475  0.05
Hatto 1997   61  0.5962  0.0064  0.0655  0.0658  0.0571  0.05
Horowitz 1949   67  0.5730  0.0072  0.0475  0.0448  0.0866  0.06
Indjic 1988   64  0.5963  0.0065  0.0748  0.0759  0.0567  0.06
Kapell 1951   19  0.7131  0.009  0.107  0.5817  0.2520  0.38
Kissin 1993   39  0.6750  0.0034  0.0837  0.2737  0.1835  0.22
Kushner 1989   7  0.764  0.077  0.139  0.557  0.537  0.54
Luisada 1991   20  0.7115  0.0125  0.0818  0.4635  0.1829  0.29
Lushtak 2004   28  0.6948  0.0024  0.0626  0.4011  0.3422  0.37
Malcuzynski 1961   85  0.4976  0.0084  0.0562  0.0555  0.0477  0.04
Magaloff 1978   42  0.6680  0.0054  0.0651  0.0626  0.2747  0.13
Magin 1975   48  0.6545  0.0039  0.0835  0.2937  0.1734  0.22
Michalowski 1933   74  0.5681  0.0080  0.0387  0.0369  0.0488  0.03
Milkina 1970   2  0.822  0.232  0.342  0.733  0.631  0.68
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   75  0.5477  0.0074  0.0386  0.0325  0.4052  0.11
Morozova 2008   47  0.658  0.0243  0.0643  0.1348  0.0563  0.08
Neighaus 1950   29  0.6887  0.0050  0.0749  0.0781  0.0474  0.05
Niedzielski 1931   69  0.5782  0.0060  0.0658  0.0646  0.0569  0.05
Ohlsson 1999   22  0.7116  0.0128  0.1012  0.5226  0.3118  0.40
Osinska 1989   5  0.789  0.024  0.195  0.6611  0.533  0.59
Pachmann 1927   73  0.5671  0.0085  0.0479  0.0470  0.0387  0.03
Paderewski 1930   53  0.6284  0.0067  0.0469  0.0460  0.0386  0.03
Perlemuter 1992   27  0.6956  0.0038  0.0741  0.1936  0.1738  0.18
Pierdomenico 2008   71  0.5665  0.0059  0.0653  0.0614  0.4144  0.16
Poblocka 1999   65  0.5811  0.0140  0.0840  0.2141  0.1442  0.17
Rabcewiczowa 1932   35  0.6866  0.0046  0.0568  0.0532  0.2055  0.10
Rachmaninoff 1923   34  0.6837  0.0041  0.0842  0.1838  0.1345  0.15
Rangell 2001   59  0.6046  0.0044  0.0544  0.123  0.5132  0.25
Richter 1976   87  0.3755  0.0086  0.0388  0.0350  0.0678  0.04
Rosen 1989   3  0.803  0.113  0.233  0.724  0.602  0.66
Rosenthal 1930   80  0.5388  0.0078  0.0482  0.0450  0.0481  0.04
Rosenthal 1931   77  0.5459  0.0079  0.0471  0.0430  0.2259  0.09
Rosenthal 1931b   79  0.5389  0.0081  0.0483  0.0430  0.1961  0.09
Rosenthal 1931c   83  0.5190  0.0082  0.0474  0.0434  0.1962  0.09
Rosenthal 1931d   81  0.5291  0.0083  0.0477  0.0439  0.1465  0.07
Rossi 2007   50  0.6243  0.0056  0.0560  0.059  0.5143  0.16
Rubinstein 1939   40  0.6733  0.0032  0.0834  0.308  0.4621  0.37
Rubinstein 1952   49  0.6323  0.0026  0.0725  0.423  0.5714  0.49
Rubinstein 1966   11  0.745  0.0710  0.1016  0.478  0.5113  0.49
Schilhawsky 1960   82  0.5173  0.0077  0.0472  0.0465  0.0479  0.04
Shebanova 2002   4  0.7920  0.015  0.194  0.7212  0.419  0.54
Smith 1975   13  0.7452  0.0019  0.0615  0.478  0.4216  0.44
Sokolov 2002   54  0.6121  0.0151  0.0652  0.0625  0.2449  0.12
Sztompka 1959   12  0.7438  0.0012  0.0814  0.4849  0.0740  0.18
Tomsic 1995   32  0.6810  0.0113  0.0622  0.442  0.668  0.54
Uninsky 1932   60  0.5947  0.0068  0.0480  0.0447  0.0968  0.06
Uninsky 1971   78  0.5340  0.0071  0.0470  0.0457  0.0670  0.05
Wasowski 1980   26  0.6927  0.0037  0.0732  0.3226  0.2031  0.25
Zak 1937   24  0.7025  0.0030  0.0921  0.4542  0.1333  0.24
Zak 1951   31  0.6834  0.0029  0.1120  0.4541  0.1530  0.26
Average   1  0.831  0.241  0.241  0.7516  0.416  0.55
Random 1   91  -0.1978  0.0090  0.0190  0.0157  0.0490  0.02
Random 2   90  -0.1657  0.0091  0.0191  0.0184  0.0291  0.01
Random 3   89  -0.0885  0.0089  0.0289  0.0215  0.4260  0.09

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).