Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   51  0.2328  0.0035  0.0640  0.0629  0.1237  0.08
Ashkenazy 1981   35  0.3226  0.0030  0.0731  0.1726  0.1728  0.17
Beliavsky 2004   53  0.2164  0.0051  0.0643  0.0652  0.0644  0.06
BenOr 1989   16  0.4311  0.0216  0.1118  0.5036  0.1023  0.22
Biret 1990   39  0.3248  0.0041  0.0557  0.0562  0.0363  0.04
Blet 2003   31  0.3424  0.0037  0.0644  0.0657  0.0553  0.05
Block 1995   30  0.3558  0.0033  0.0933  0.0946  0.0640  0.07
Brailowsky 1960   33  0.3427  0.0025  0.1027  0.2949  0.0729  0.14
Chiu 1999   56  0.2023  0.0056  0.0552  0.0547  0.0548  0.05
Clidat 1994   25  0.3718  0.0128  0.1126  0.3032  0.1126  0.18
Cohen 1997   60  0.1815  0.0134  0.0647  0.0625  0.2832  0.13
Coop 1987   3  0.499  0.028  0.134  0.6726  0.3512  0.48
Cortot 1951   62  0.1453  0.0064  0.0362  0.0345  0.0664  0.04
Czerny 1949   63  0.1349  0.0062  0.0364  0.0362  0.0465  0.03
Czerny 1949b   55  0.2054  0.0057  0.0553  0.0563  0.0357  0.04
Ezaki 2006   40  0.3230  0.0043  0.0645  0.0652  0.0643  0.06
Falvay 1989   24  0.3820  0.0027  0.1228  0.2833  0.0730  0.14
Ferenczy 1958   32  0.3439  0.0032  0.0732  0.1340  0.0835  0.10
Fiorentino 1962   38  0.3240  0.0040  0.0637  0.0639  0.0942  0.07
Fliere 1977   19  0.4213  0.0119  0.1317  0.525  0.577  0.54
Fou 1978   61  0.1755  0.0058  0.0554  0.0560  0.0358  0.04
Francois 1956   37  0.3229  0.0036  0.0735  0.0731  0.1734  0.11
Hatto 1997   14  0.4410  0.0210  0.168  0.6113  0.554  0.58
Horowitz 1971   21  0.4142  0.0020  0.1220  0.4527  0.2617  0.34
Horowitz 1985   17  0.4212  0.0118  0.1215  0.5211  0.4810  0.50
Indjic 2001   6  0.4636  0.007  0.165  0.6711  0.611  0.64
Kapell 1951   18  0.4214  0.0115  0.1019  0.4722  0.3915  0.43
Kiepura 1999   44  0.3065  0.0042  0.0459  0.0459  0.0455  0.04
Kilenyi 1937   29  0.3552  0.0038  0.0734  0.0740  0.0839  0.07
Kissin 1993   45  0.3046  0.0050  0.0638  0.0641  0.0938  0.07
Kitain 1937   48  0.2544  0.0049  0.0642  0.0629  0.1436  0.09
Kushner 1990   13  0.457  0.039  0.169  0.5922  0.3713  0.47
Levy 1951   41  0.3166  0.0046  0.0551  0.0552  0.0549  0.05
Luisada 1990   58  0.1961  0.0061  0.0461  0.0456  0.0461  0.04
Lushtak 2004   22  0.4021  0.0021  0.1522  0.3929  0.1718  0.26
Lympany 1968   26  0.3762  0.0026  0.0925  0.3222  0.3816  0.35
Magaloff 1977   50  0.2347  0.0053  0.0550  0.0550  0.0460  0.04
Magaloff 1977b   54  0.2141  0.0055  0.0548  0.0559  0.0462  0.04
Magin 1975   34  0.3416  0.0139  0.0636  0.0651  0.0551  0.05
Milkina 1970   4  0.488  0.035  0.202  0.7216  0.482  0.59
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Nadelmann 1956   9  0.452  0.122  0.183  0.689  0.439  0.54
Ohlsson 1999   10  0.456  0.0412  0.1510  0.5911  0.4311  0.50
Olejniczac 1990   27  0.3717  0.0129  0.1029  0.2144  0.0733  0.12
Olejniczak 1991   20  0.4131  0.0022  0.1221  0.3932  0.1320  0.23
Osinska 1989   7  0.4656  0.0014  0.1112  0.5634  0.0922  0.22
Paderewski 1912   46  0.2933  0.0048  0.0646  0.0638  0.0745  0.06
Perahia 1994   2  0.494  0.103  0.247  0.6412  0.543  0.59
Perlemuter 1986   5  0.475  0.094  0.196  0.6413  0.486  0.55
Poblocka 1999   49  0.2445  0.0052  0.0639  0.0650  0.0546  0.05
Rangell 2001   43  0.3019  0.0131  0.0930  0.1722  0.3819  0.25
Risler 1920   52  0.2343  0.0054  0.0641  0.0648  0.0547  0.05
Rosen 1989   59  0.1834  0.0060  0.0555  0.0551  0.0654  0.05
Rubinstein 1939   28  0.3560  0.0024  0.1023  0.3732  0.1421  0.23
Rubinstein 1952   8  0.453  0.116  0.1816  0.5226  0.3714  0.44
Rubinstein 1966   12  0.4525  0.0013  0.1314  0.5337  0.0724  0.19
Rummel 1943   57  0.1959  0.0059  0.0460  0.0458  0.0366  0.03
Shebanova 2002   23  0.3838  0.0023  0.1224  0.3334  0.0927  0.17
Smith 1975   47  0.2763  0.0047  0.0549  0.0552  0.0550  0.05
Szpilman 1948   15  0.4422  0.0017  0.1411  0.5714  0.585  0.57
Uninsky 1971   36  0.3237  0.0045  0.0556  0.0555  0.0552  0.05
Wasowski 1980   42  0.3035  0.0044  0.0558  0.0555  0.0456  0.04
Weissenberg 1971   11  0.4532  0.0011  0.1413  0.554  0.538  0.54
Average   1  0.561  0.301  0.291  0.8260  0.0425  0.18
Random 1    66  0.0157  0.0066  0.0166  0.0127  0.1759  0.04
Random 2   64  0.1250  0.0063  0.0363  0.036  0.5331  0.13
Random 3   65  0.0351  0.0065  0.0265  0.0219  0.2341  0.07

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).