Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.6126  0.0035  0.0835  0.0840  0.0744  0.07
Ashkenazy 1981   26  0.6732  0.0028  0.0927  0.2645  0.0736  0.13
Beliavsky 2004   50  0.6062  0.0047  0.0551  0.0530  0.1439  0.08
BenOr 1989   5  0.7210  0.0113  0.169  0.5843  0.0723  0.20
Biret 1990   34  0.6434  0.0037  0.0643  0.0659  0.0459  0.05
Blet 2003   40  0.6324  0.0042  0.0837  0.0859  0.0447  0.06
Block 1995   51  0.6050  0.0050  0.0646  0.0647  0.0557  0.05
Brailowsky 1960   56  0.5748  0.0057  0.0550  0.0546  0.0746  0.06
Chiu 1999   54  0.5835  0.0045  0.0558  0.0557  0.0461  0.04
Clidat 1994   21  0.6817  0.0123  0.0823  0.3536  0.0730  0.16
Cohen 1997   62  0.4020  0.0061  0.0463  0.0428  0.2438  0.10
Coop 1987   8  0.723  0.114  0.243  0.7131  0.2313  0.40
Cortot 1951   60  0.4741  0.0062  0.0549  0.0556  0.0463  0.04
Czerny 1949   39  0.6453  0.0041  0.0740  0.0755  0.0549  0.06
Czerny 1949b   33  0.6552  0.0033  0.0933  0.0945  0.0643  0.07
Ezaki 2006   23  0.6846  0.0024  0.0921  0.3845  0.0728  0.16
Falvay 1989   35  0.6449  0.0034  0.0934  0.0951  0.0642  0.07
Ferenczy 1958   58  0.5536  0.0051  0.0460  0.0433  0.1048  0.06
Fiorentino 1962   24  0.6819  0.0025  0.1128  0.2647  0.0637  0.12
Fliere 1977   7  0.728  0.027  0.234  0.7025  0.369  0.50
Fou 1978   49  0.6042  0.0046  0.0647  0.0656  0.0555  0.05
Francois 1956   31  0.6522  0.0044  0.0838  0.0818  0.3332  0.16
Hatto 1997   43  0.6227  0.0030  0.1130  0.2418  0.3419  0.29
Horowitz 1971   29  0.6629  0.0032  0.0832  0.1522  0.4021  0.24
Horowitz 1985   44  0.6216  0.0138  0.0642  0.068  0.5525  0.18
Indjic 2001   42  0.6337  0.0029  0.0825  0.2718  0.3916  0.32
Kapell 1951   10  0.715  0.088  0.1613  0.5223  0.3812  0.44
Kiepura 1999   47  0.6163  0.0053  0.0461  0.0433  0.0845  0.06
Kilenyi 1937   19  0.6823  0.0020  0.1917  0.4637  0.0824  0.19
Kissin 1993   17  0.6955  0.0014  0.1414  0.5250  0.0529  0.16
Kitain 1937   61  0.4338  0.0058  0.0555  0.0518  0.4534  0.15
Kushner 1990   2  0.7511  0.013  0.232  0.778  0.591  0.67
Levy 1951   55  0.5864  0.0052  0.0557  0.0556  0.0554  0.05
Luisada 1990   37  0.6458  0.0048  0.0553  0.0536  0.0852  0.06
Lushtak 2004   22  0.6825  0.0022  0.0824  0.3540  0.0731  0.16
Lympany 1968   25  0.6759  0.0027  0.0826  0.2724  0.3218  0.29
Magaloff 1977   48  0.6144  0.0054  0.0459  0.0436  0.0850  0.06
Magaloff 1977b   53  0.5921  0.0055  0.0554  0.0543  0.0658  0.05
Magin 1975   27  0.6718  0.0026  0.1029  0.2443  0.0735  0.13
Milkina 1970   6  0.729  0.0211  0.165  0.7011  0.603  0.65
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Nadelmann 1956   12  0.706  0.049  0.2210  0.5610  0.4010  0.47
Ohlsson 1999   28  0.6715  0.0118  0.1120  0.4223  0.2415  0.32
Olejniczac 1990   14  0.6930  0.0021  0.1122  0.3640  0.0827  0.17
Olejniczak 1991   11  0.7131  0.0015  0.1215  0.5133  0.1320  0.26
Osinska 1989   1  0.781  0.301  0.291  0.8022  0.395  0.56
Paderewski 1912   30  0.6528  0.0043  0.0739  0.0743  0.0651  0.06
Perahia 1994   20  0.687  0.0217  0.1418  0.453  0.714  0.57
Perlemuter 1986   3  0.742  0.182  0.226  0.6714  0.427  0.53
Poblocka 1999   32  0.6547  0.0039  0.0644  0.0635  0.0940  0.07
Rangell 2001   36  0.6433  0.0031  0.0831  0.2131  0.1626  0.18
Risler 1920   38  0.6456  0.0040  0.0741  0.0736  0.0841  0.07
Rosen 1989   59  0.5445  0.0060  0.0648  0.0649  0.0653  0.06
Rubinstein 1939   41  0.6343  0.0036  0.0836  0.088  0.5122  0.20
Rubinstein 1952   9  0.724  0.095  0.1711  0.5612  0.526  0.54
Rubinstein 1966   18  0.6813  0.0116  0.1312  0.558  0.518  0.53
Rummel 1943   57  0.5661  0.0059  0.0552  0.0560  0.0362  0.04
Shebanova 2002   13  0.6912  0.0112  0.148  0.6225  0.1814  0.33
Smith 1975   16  0.6951  0.0019  0.1319  0.4222  0.2217  0.30
Szpilman 1948   4  0.7414  0.016  0.177  0.667  0.642  0.65
Uninsky 1971   45  0.6139  0.0049  0.0645  0.0657  0.0456  0.05
Wasowski 1980   52  0.6040  0.0056  0.0556  0.0558  0.0460  0.04
Weissenberg 1971   15  0.6960  0.0010  0.1916  0.4920  0.3911  0.44
Random 1    64  -0.0465  0.0064  0.0264  0.0241  0.0464  0.03
Random 2   63  0.0854  0.0063  0.0462  0.043  0.5433  0.15
Random 3   65  -0.0557  0.0065  0.0265  0.0245  0.0465  0.03

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).