Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   14  0.7655  0.0021  0.1021  0.3619  0.3221  0.34
Anderszewski 2003   68  0.5341  0.0034  0.0540  0.1126  0.2637  0.17
Ashkenazy 1981   57  0.6071  0.0064  0.0460  0.0474  0.0385  0.03
Bacha 2000   52  0.6272  0.0063  0.0372  0.0325  0.3148  0.10
Badura 1965   73  0.5084  0.0070  0.0364  0.0349  0.0575  0.04
Barbosa 1983   51  0.628  0.0325  0.0926  0.2613  0.4322  0.33
Biret 1990   43  0.6559  0.0073  0.0449  0.0452  0.0478  0.04
Blet 2003   16  0.7658  0.0026  0.0816  0.3710  0.4315  0.40
Block 1995   45  0.6419  0.0153  0.0448  0.0416  0.3147  0.11
Blumental 1952   79  0.3231  0.0084  0.0386  0.0377  0.0384  0.03
Boshniakovich 1969   30  0.6918  0.0132  0.0630  0.1718  0.3230  0.23
Brailowsky 1960   25  0.7116  0.0146  0.0454  0.0425  0.3043  0.11
Bunin 1987   20  0.7483  0.0023  0.0919  0.3614  0.4317  0.39
Bunin 1987b   19  0.7476  0.0024  0.0920  0.3614  0.4316  0.39
Chiu 1999   64  0.5754  0.0048  0.0546  0.0529  0.2444  0.11
Cohen 1997   84  0.2881  0.0083  0.0374  0.0350  0.0576  0.04
Cortot 1951   75  0.4968  0.0082  0.0366  0.0364  0.0487  0.03
Csalog 1996   70  0.5249  0.0081  0.0384  0.0346  0.0965  0.05
Czerny 1949   36  0.6620  0.0135  0.0431  0.1631  0.2535  0.20
Czerny 1990   12  0.7767  0.0019  0.0818  0.3624  0.2727  0.31
Duchoud 2007   58  0.6033  0.0065  0.0461  0.0456  0.0474  0.04
Ezaki 2006   4  0.845  0.065  0.142  0.627  0.543  0.58
Falvay 1989   6  0.8169  0.0013  0.1011  0.4612  0.4212  0.44
Farrell 1958   47  0.6421  0.0174  0.0450  0.0448  0.0569  0.04
Ferenczy 1958   46  0.6426  0.0157  0.0373  0.0325  0.3350  0.10
Fliere 1977   8  0.7943  0.0018  0.0814  0.4024  0.2424  0.31
Fou 1978   26  0.7160  0.0022  0.0923  0.3423  0.3620  0.35
Francois 1956   17  0.7417  0.0115  0.0622  0.3612  0.3819  0.37
Friedman 1923   88  0.0587  0.0088  0.0383  0.0373  0.0579  0.04
Friedman 1923b   87  0.0688  0.0087  0.0382  0.0368  0.0577  0.04
Friedman 1930   85  0.2689  0.0075  0.0455  0.0438  0.1460  0.07
Garcia 2007   76  0.4432  0.0078  0.0288  0.0237  0.1964  0.06
Garcia 2007b   86  0.1851  0.0085  0.0377  0.0353  0.0488  0.03
Gierzod 1998   41  0.6623  0.0162  0.0379  0.0354  0.0483  0.03
Gornostaeva 1994   10  0.7813  0.0116  0.0717  0.3713  0.3918  0.38
Groot 1988   3  0.861  0.161  0.164  0.583  0.642  0.61
Harasiewicz 1955   56  0.614  0.084  0.1310  0.466  0.4511  0.45
Hatto 1993   81  0.2963  0.0060  0.0378  0.0368  0.0386  0.03
Hatto 1997   77  0.4011  0.0133  0.0538  0.1136  0.1246  0.11
Horowitz 1949   42  0.6656  0.0020  0.0927  0.2511  0.4023  0.32
Indjic 1988   78  0.3364  0.0058  0.0375  0.0358  0.0382  0.03
Kapell 1951   39  0.6690  0.0066  0.0451  0.0441  0.1654  0.08
Kissin 1993   22  0.7377  0.0027  0.0925  0.2826  0.2729  0.27
Kushner 1989   32  0.6852  0.0051  0.0453  0.0451  0.0570  0.04
Luisada 1991   34  0.6725  0.0137  0.0445  0.0835  0.2039  0.13
Lushtak 2004   29  0.697  0.0410  0.107  0.5214  0.449  0.48
Malcuzynski 1961   5  0.8170  0.0012  0.1012  0.4518  0.3714  0.41
Magaloff 1978   11  0.7722  0.0111  0.099  0.4619  0.3913  0.42
Magin 1975   67  0.5645  0.0071  0.0459  0.0441  0.1259  0.07
Michalowski 1933   82  0.2961  0.0076  0.0367  0.0352  0.0572  0.04
Milkina 1970   27  0.7134  0.0045  0.0444  0.0843  0.1545  0.11
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Moravec 1969   63  0.5748  0.0080  0.0387  0.0360  0.0480  0.03
Morozova 2008   61  0.5885  0.0039  0.0441  0.1054  0.0463  0.06
Neighaus 1950   7  0.8015  0.016  0.125  0.565  0.565  0.56
Niedzielski 1931   72  0.5182  0.0079  0.0380  0.0348  0.0568  0.04
Ohlsson 1999   48  0.6328  0.0056  0.0376  0.0352  0.0671  0.04
Osinska 1989   33  0.6735  0.0043  0.0539  0.1140  0.1341  0.12
Pachmann 1927   44  0.6442  0.0031  0.0629  0.187  0.5425  0.31
Paderewski 1930   50  0.6329  0.0069  0.0368  0.0336  0.1361  0.06
Perlemuter 1992   9  0.7810  0.027  0.156  0.531  0.644  0.58
Pierdomenico 2008   37  0.6665  0.0040  0.0435  0.1320  0.3033  0.20
Poblocka 1999   23  0.7236  0.0042  0.0436  0.1233  0.2138  0.16
Rabcewiczowa 1932   49  0.6337  0.0052  0.0452  0.0429  0.2349  0.10
Rachmaninoff 1923   66  0.5738  0.0028  0.0733  0.1524  0.2732  0.20
Rangell 2001   31  0.6939  0.0047  0.0547  0.0511  0.3540  0.13
Richter 1976   38  0.6673  0.0041  0.0534  0.1318  0.3034  0.20
Rosen 1989   24  0.7224  0.0129  0.0828  0.2113  0.4626  0.31
Rosenthal 1930   65  0.5778  0.0072  0.0369  0.0336  0.2056  0.08
Rosenthal 1931   71  0.5227  0.0138  0.0442  0.0914  0.4136  0.19
Rosenthal 1931b   74  0.5080  0.0061  0.0381  0.0328  0.2357  0.08
Rosenthal 1931c   59  0.5953  0.0067  0.0365  0.0332  0.2158  0.08
Rosenthal 1931d   62  0.5740  0.0059  0.0370  0.0318  0.3551  0.10
Rossi 2007   80  0.3274  0.0077  0.0371  0.0344  0.0667  0.04
Rubinstein 1939   83  0.2979  0.0086  0.0385  0.0371  0.0481  0.03
Rubinstein 1952   28  0.7030  0.0030  0.0637  0.1221  0.4331  0.23
Rubinstein 1966   21  0.739  0.0314  0.0815  0.382  0.657  0.50
Schilhawsky 1960   53  0.6266  0.0044  0.0443  0.0852  0.0562  0.06
Shebanova 2002   55  0.6114  0.0154  0.0363  0.0349  0.0673  0.04
Smith 1975   18  0.7457  0.0017  0.0824  0.3321  0.2628  0.29
Sokolov 2002   40  0.6644  0.0068  0.0457  0.0461  0.0466  0.04
Sztompka 1959   54  0.6246  0.0055  0.0462  0.0440  0.1655  0.08
Tomsic 1995   1  0.873  0.152  0.253  0.581  0.651  0.61
Uninsky 1932   60  0.5847  0.0050  0.0458  0.0434  0.2253  0.09
Uninsky 1971   35  0.6750  0.0049  0.0456  0.0429  0.3542  0.12
Wasowski 1980   69  0.5291  0.0036  0.0432  0.1649  0.0552  0.09
Zak 1937   15  0.766  0.069  0.1113  0.426  0.4910  0.45
Zak 1951   13  0.7712  0.018  0.158  0.476  0.508  0.48
Average   2  0.872  0.153  0.231  0.6311  0.416  0.51
Random 1   90  -0.1486  0.0091  0.0191  0.0181  0.0390  0.02
Random 2   91  -0.2262  0.0090  0.0290  0.0290  0.0289  0.02
Random 3   89  -0.0175  0.0089  0.0289  0.0282  0.0291  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).