Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.7239  0.0030  0.0823  0.4344  0.1135  0.22
Anderszewski 2003   24  0.707  0.0221  0.0629  0.3310  0.3725  0.35
Ashkenazy 1981   44  0.6668  0.0047  0.0749  0.0774  0.0472  0.05
Bacha 2000   14  0.7367  0.0013  0.0712  0.482  0.529  0.50
Badura 1965   75  0.5440  0.0072  0.0477  0.0471  0.0481  0.04
Barbosa 1983   62  0.5941  0.0016  0.0830  0.335  0.5116  0.41
Biret 1990   5  0.789  0.027  0.155  0.586  0.545  0.56
Blet 2003   43  0.6643  0.0054  0.0655  0.0631  0.2252  0.11
Block 1995   69  0.5618  0.0122  0.0735  0.2710  0.3727  0.32
Blumental 1952   35  0.6812  0.0119  0.0718  0.4611  0.2823  0.36
Boshniakovich 1969   61  0.5964  0.0057  0.0562  0.0558  0.0571  0.05
Brailowsky 1960   8  0.7528  0.0026  0.0832  0.304  0.5218  0.39
Bunin 1987   85  0.3765  0.0087  0.0480  0.0461  0.0582  0.04
Bunin 1987b   87  0.3674  0.0086  0.0472  0.0461  0.0575  0.04
Chiu 1999   40  0.6725  0.0017  0.0827  0.3713  0.3324  0.35
Cohen 1997   83  0.5056  0.0074  0.0483  0.0418  0.3449  0.12
Cortot 1951   51  0.6279  0.0061  0.0656  0.0641  0.1163  0.08
Csalog 1996   56  0.6032  0.0035  0.0837  0.253  0.5122  0.36
Czerny 1949   65  0.5782  0.0065  0.0565  0.0565  0.0479  0.04
Czerny 1990   17  0.7235  0.0020  0.0822  0.4325  0.2726  0.34
Duchoud 2007   71  0.5671  0.0056  0.0560  0.0527  0.2256  0.10
Ezaki 2006   7  0.7613  0.0110  0.099  0.5413  0.4411  0.49
Falvay 1989   29  0.6820  0.0152  0.0658  0.065  0.5438  0.18
Farrell 1958   22  0.7030  0.0014  0.0816  0.469  0.5114  0.48
Ferenczy 1958   50  0.6249  0.0060  0.0563  0.0528  0.2055  0.10
Fliere 1977   15  0.7227  0.0034  0.0828  0.3557  0.0547  0.13
Fou 1978   13  0.7315  0.0115  0.0910  0.526  0.4810  0.50
Francois 1956   36  0.6745  0.0046  0.0564  0.0516  0.4345  0.15
Friedman 1923   55  0.6055  0.0069  0.0566  0.0565  0.0484  0.04
Friedman 1923b   57  0.6069  0.0068  0.0484  0.0458  0.0583  0.04
Friedman 1930   54  0.6187  0.0075  0.0475  0.0485  0.0388  0.03
Garcia 2007   45  0.6575  0.0051  0.0846  0.0844  0.1357  0.10
Garcia 2007b   32  0.6870  0.0048  0.0945  0.0938  0.1550  0.12
Gierzod 1998   20  0.7122  0.0132  0.0826  0.3846  0.0940  0.18
Gornostaeva 1994   37  0.6754  0.0044  0.0644  0.1216  0.3136  0.19
Groot 1988   9  0.745  0.035  0.177  0.561  0.634  0.59
Harasiewicz 1955   42  0.6633  0.0041  0.0938  0.2148  0.0653  0.11
Hatto 1993   67  0.5746  0.0062  0.0653  0.0668  0.0474  0.05
Hatto 1997   60  0.5942  0.0063  0.0654  0.0657  0.0570  0.05
Horowitz 1949   66  0.5734  0.0071  0.0474  0.0447  0.0865  0.06
Indjic 1988   63  0.5958  0.0064  0.0747  0.0758  0.0566  0.06
Kapell 1951   18  0.7131  0.008  0.106  0.5816  0.2519  0.38
Kissin 1993   38  0.6747  0.0033  0.0836  0.2736  0.1834  0.22
Kushner 1989   6  0.763  0.116  0.148  0.556  0.536  0.54
Luisada 1991   19  0.7114  0.0124  0.0817  0.4634  0.1828  0.29
Lushtak 2004   27  0.6953  0.0023  0.0625  0.4010  0.3421  0.37
Malcuzynski 1961   84  0.4976  0.0083  0.0561  0.0554  0.0476  0.04
Magaloff 1978   41  0.6680  0.0053  0.0750  0.0725  0.2746  0.14
Magin 1975   47  0.6550  0.0038  0.0834  0.2936  0.1733  0.22
Michalowski 1933   73  0.5681  0.0079  0.0386  0.0368  0.0487  0.03
Milkina 1970   1  0.821  0.351  0.351  0.732  0.631  0.68
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   74  0.5477  0.0073  0.0385  0.0324  0.4051  0.11
Morozova 2008   46  0.658  0.0242  0.0642  0.1347  0.0562  0.08
Neighaus 1950   28  0.6888  0.0049  0.0748  0.0780  0.0473  0.05
Niedzielski 1931   68  0.5760  0.0059  0.0657  0.0645  0.0568  0.05
Ohlsson 1999   21  0.7119  0.0127  0.1011  0.5225  0.3117  0.40
Osinska 1989   4  0.786  0.033  0.194  0.6610  0.533  0.59
Pachmann 1927   72  0.5672  0.0084  0.0478  0.0469  0.0386  0.03
Paderewski 1930   52  0.6283  0.0066  0.0468  0.0459  0.0385  0.03
Perlemuter 1992   26  0.6961  0.0037  0.0740  0.1935  0.1737  0.18
Pierdomenico 2008   70  0.5659  0.0058  0.0652  0.0613  0.4143  0.16
Poblocka 1999   64  0.5811  0.0139  0.0839  0.2140  0.1441  0.17
Rabcewiczowa 1932   34  0.6866  0.0045  0.0567  0.0531  0.2054  0.10
Rachmaninoff 1923   33  0.6838  0.0040  0.0841  0.1837  0.1344  0.15
Rangell 2001   58  0.6051  0.0043  0.0643  0.123  0.5131  0.25
Richter 1976   86  0.3757  0.0085  0.0387  0.0349  0.0677  0.04
Rosen 1989   2  0.802  0.132  0.232  0.723  0.602  0.66
Rosenthal 1930   79  0.5384  0.0077  0.0481  0.0449  0.0580  0.04
Rosenthal 1931   76  0.5463  0.0078  0.0470  0.0429  0.2258  0.09
Rosenthal 1931b   78  0.5389  0.0080  0.0482  0.0429  0.1960  0.09
Rosenthal 1931c   82  0.5185  0.0081  0.0473  0.0433  0.1961  0.09
Rosenthal 1931d   80  0.5290  0.0082  0.0476  0.0438  0.1464  0.07
Rossi 2007   49  0.6248  0.0055  0.0559  0.059  0.5142  0.16
Rubinstein 1939   39  0.6737  0.0031  0.0833  0.307  0.4620  0.37
Rubinstein 1952   48  0.6324  0.0025  0.0724  0.423  0.5713  0.49
Rubinstein 1966   10  0.744  0.079  0.1015  0.477  0.5112  0.49
Schilhawsky 1960   81  0.5173  0.0076  0.0471  0.0464  0.0478  0.04
Shebanova 2002   3  0.7916  0.014  0.193  0.7211  0.418  0.54
Smith 1975   12  0.7417  0.0118  0.0614  0.477  0.4215  0.44
Sokolov 2002   53  0.6121  0.0150  0.0651  0.0624  0.2448  0.12
Sztompka 1959   11  0.7423  0.0111  0.0813  0.4848  0.0739  0.18
Tomsic 1995   31  0.6810  0.0212  0.0621  0.442  0.667  0.54
Uninsky 1932   59  0.5952  0.0067  0.0479  0.0446  0.0967  0.06
Uninsky 1971   77  0.5344  0.0070  0.0469  0.0456  0.0669  0.05
Wasowski 1980   25  0.6929  0.0036  0.0731  0.3225  0.2030  0.25
Zak 1937   23  0.7026  0.0029  0.1020  0.4541  0.1332  0.24
Zak 1951   30  0.6836  0.0028  0.1119  0.4540  0.1529  0.26
Random 1   90  -0.1978  0.0089  0.0189  0.0157  0.0489  0.02
Random 2   89  -0.1662  0.0090  0.0190  0.0183  0.0290  0.01
Random 3   88  -0.0886  0.0088  0.0288  0.0215  0.4159  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).