Perlemuter 1986

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   5  0.7019  0.0110  0.118  0.5523  0.257  0.37
Ashkenazy 1981   16  0.6447  0.0032  0.0732  0.1452  0.0538  0.08
Beliavsky 2004   50  0.5439  0.0031  0.0831  0.1536  0.0729  0.10
BenOr 1989   9  0.6813  0.0117  0.0912  0.4751  0.0519  0.15
Biret 1990   23  0.6221  0.0133  0.0745  0.0755  0.0548  0.06
Blet 2003   1  0.741  0.411  0.411  0.688  0.521  0.59
Block 1995   13  0.656  0.0422  0.0923  0.2955  0.0426  0.11
Brailowsky 1960   4  0.7128  0.006  0.186  0.5617  0.354  0.44
Chiu 1999   29  0.597  0.0424  0.1025  0.2858  0.0521  0.12
Clidat 1994   43  0.5760  0.0028  0.0927  0.2262  0.0337  0.08
Cohen 1997   25  0.6049  0.0029  0.0829  0.2055  0.0432  0.09
Coop 1987   52  0.5340  0.0054  0.0462  0.0456  0.0564  0.04
Cortot 1951   11  0.6637  0.0020  0.0817  0.4159  0.0420  0.13
Czerny 1949   56  0.5161  0.0061  0.0460  0.0454  0.0658  0.05
Czerny 1949b   61  0.4554  0.0062  0.0552  0.0553  0.0554  0.05
Ezaki 2006   44  0.5745  0.0055  0.0461  0.0459  0.0461  0.04
Falvay 1989   7  0.699  0.025  0.155  0.5846  0.0614  0.19
Ferenczy 1958   41  0.5759  0.0042  0.0742  0.0734  0.0646  0.06
Fiorentino 1962   19  0.6323  0.0123  0.0924  0.2855  0.0427  0.11
Fliere 1977   12  0.6536  0.0016  0.0915  0.4340  0.0617  0.16
Fou 1978   36  0.5810  0.0235  0.0840  0.0859  0.0445  0.06
Francois 1956   31  0.592  0.099  0.1914  0.444  0.742  0.57
Hatto 1997   8  0.6834  0.007  0.159  0.5149  0.0615  0.17
Horowitz 1971   18  0.6314  0.018  0.147  0.5520  0.275  0.39
Horowitz 1985   59  0.5041  0.0049  0.0458  0.0446  0.0650  0.05
Indjic 2001   2  0.724  0.062  0.162  0.6332  0.159  0.31
Kapell 1951   40  0.5712  0.0144  0.0551  0.0548  0.0655  0.05
Kiepura 1999   26  0.6030  0.0038  0.1035  0.1036  0.0633  0.08
Kilenyi 1937   51  0.5322  0.0147  0.0743  0.0743  0.0741  0.07
Kissin 1993   32  0.5931  0.0034  0.0939  0.0940  0.0735  0.08
Kitain 1937   42  0.573  0.0614  0.0922  0.3212  0.466  0.38
Kushner 1990   57  0.5058  0.0050  0.0555  0.0548  0.0557  0.05
Levy 1951   14  0.6516  0.0118  0.1120  0.3861  0.0422  0.12
Luisada 1990   35  0.5848  0.0056  0.0457  0.0460  0.0565  0.04
Lushtak 2004   24  0.6162  0.0036  0.0936  0.0947  0.0543  0.07
Lympany 1968   15  0.6411  0.0215  0.1113  0.4634  0.0813  0.19
Magaloff 1977   54  0.5250  0.0052  0.0648  0.0655  0.0559  0.05
Magaloff 1977b   53  0.5251  0.0051  0.0553  0.0554  0.0560  0.05
Magin 1975   38  0.5743  0.0057  0.0550  0.0539  0.0653  0.05
Milkina 1970   6  0.705  0.054  0.144  0.5926  0.1510  0.30
Mohovich 1999   10  0.6717  0.0111  0.1010  0.5139  0.0616  0.17
Nadelmann 1956   17  0.6326  0.0021  0.1119  0.3860  0.0324  0.11
Ohlsson 1999   48  0.5544  0.0046  0.0647  0.0649  0.0556  0.05
Olejniczac 1990   20  0.6335  0.0026  0.1128  0.2155  0.0530  0.10
Olejniczak 1991   60  0.4855  0.0059  0.0554  0.0550  0.0652  0.05
Osinska 1989   46  0.5656  0.0048  0.0649  0.0653  0.0551  0.05
Paderewski 1912   49  0.5438  0.0041  0.0938  0.0945  0.0542  0.07
Perahia 1994   34  0.5818  0.0112  0.0918  0.4022  0.1711  0.26
Perlemuter 1986   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   30  0.5957  0.0045  0.0744  0.0747  0.0644  0.06
Rangell 2001   58  0.5053  0.0058  0.0646  0.0653  0.0647  0.06
Risler 1920   62  0.4033  0.0060  0.0459  0.0457  0.0563  0.04
Rosen 1989   22  0.6242  0.0013  0.1111  0.5024  0.248  0.35
Rubinstein 1939   47  0.5652  0.0039  0.0937  0.0948  0.0539  0.07
Rubinstein 1952   39  0.5732  0.0043  0.1033  0.1061  0.0449  0.06
Rubinstein 1966   27  0.6020  0.0127  0.1026  0.2640  0.0525  0.11
Rummel 1943   37  0.5815  0.0119  0.0921  0.3629  0.1712  0.25
Shebanova 2002   3  0.718  0.033  0.133  0.6115  0.333  0.45
Smith 1975   28  0.6024  0.0025  0.1016  0.4347  0.0518  0.15
Szpilman 1948   55  0.5246  0.0053  0.0456  0.0452  0.0562  0.04
Uninsky 1971   33  0.5827  0.0030  0.0830  0.1855  0.0436  0.08
Wasowski 1980   21  0.6229  0.0037  0.1034  0.1046  0.0634  0.08
Weissenberg 1971   45  0.5625  0.0040  0.0841  0.0842  0.0640  0.07
Random 1    65  0.0265  0.0064  0.0264  0.025  0.5528  0.10
Random 2   64  0.0464  0.0063  0.0363  0.032  0.4923  0.12
Random 3   63  0.0463  0.0065  0.0265  0.024  0.5431  0.10

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).