Perlemuter 1986

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   35  0.6823  0.0028  0.0819  0.297  0.5913  0.41
Ashkenazy 1981   13  0.7343  0.0018  0.1011  0.4315  0.3617  0.39
Beliavsky 2004   37  0.6862  0.0038  0.0649  0.067  0.5233  0.18
BenOr 1989   3  0.758  0.014  0.174  0.5718  0.3810  0.47
Biret 1990   55  0.6233  0.0050  0.0742  0.0745  0.0661  0.06
Blet 2003   46  0.6512  0.0036  0.0738  0.0721  0.3042  0.14
Block 1995   53  0.6235  0.0047  0.0460  0.0435  0.1253  0.07
Brailowsky 1960   54  0.6221  0.0058  0.0462  0.0438  0.0956  0.06
Chiu 1999   51  0.6324  0.0039  0.0646  0.0636  0.0852  0.07
Clidat 1994   15  0.7254  0.0015  0.1316  0.3713  0.4020  0.38
Cohen 1997   62  0.4830  0.0060  0.0553  0.056  0.6434  0.18
Coop 1987   18  0.716  0.013  0.225  0.5626  0.3212  0.42
Cortot 1951   61  0.5247  0.0063  0.0650  0.0639  0.0762  0.06
Czerny 1949   14  0.7346  0.0023  0.0628  0.2030  0.1831  0.19
Czerny 1949b   28  0.6964  0.0042  0.0648  0.0643  0.0658  0.06
Ezaki 2006   20  0.7060  0.0027  0.0825  0.2332  0.1432  0.18
Falvay 1989   24  0.707  0.019  0.1512  0.4326  0.3319  0.38
Ferenczy 1958   59  0.5239  0.0056  0.0463  0.0432  0.2047  0.09
Fiorentino 1962   16  0.7148  0.0020  0.1018  0.3318  0.4915  0.40
Fliere 1977   4  0.7515  0.006  0.206  0.5518  0.495  0.52
Fou 1978   29  0.6942  0.0032  0.0732  0.1330  0.2037  0.16
Francois 1956   9  0.7416  0.0024  0.0924  0.233  0.6718  0.39
Hatto 1997   41  0.6720  0.0030  0.1126  0.217  0.5921  0.35
Horowitz 1971   56  0.6156  0.0055  0.0558  0.0562  0.0465  0.04
Horowitz 1985   60  0.5258  0.0062  0.0557  0.0538  0.0755  0.06
Indjic 2001   39  0.6717  0.0029  0.0723  0.245  0.6416  0.39
Kapell 1951   34  0.695  0.0122  0.0729  0.2031  0.2327  0.21
Kiepura 1999   30  0.6949  0.0044  0.0835  0.0825  0.3535  0.17
Kilenyi 1937   21  0.7036  0.0026  0.0821  0.2531  0.1926  0.22
Kissin 1993   27  0.7053  0.0010  0.1217  0.3534  0.1130  0.20
Kitain 1937   63  0.4832  0.0061  0.0559  0.0512  0.5138  0.16
Kushner 1990   10  0.7314  0.008  0.209  0.4914  0.518  0.50
Levy 1951   58  0.5818  0.0059  0.0647  0.0652  0.0563  0.05
Luisada 1990   36  0.6840  0.0046  0.0737  0.0733  0.1149  0.09
Lushtak 2004   22  0.7038  0.0017  0.1014  0.4219  0.4014  0.41
Lympany 1968   32  0.6957  0.0037  0.0834  0.0813  0.4829  0.20
Magaloff 1977   45  0.6552  0.0048  0.0555  0.0531  0.1451  0.08
Magaloff 1977b   47  0.6559  0.0049  0.0740  0.0739  0.0854  0.07
Magin 1975   38  0.6751  0.0045  0.0736  0.0737  0.0950  0.08
Milkina 1970   5  0.743  0.035  0.183  0.744  0.741  0.74
Mohovich 1999   8  0.744  0.027  0.1715  0.417  0.666  0.52
Nadelmann 1956   26  0.7011  0.0116  0.1120  0.2810  0.4022  0.33
Ohlsson 1999   52  0.6261  0.0041  0.0644  0.0643  0.0760  0.06
Olejniczac 1990   12  0.7334  0.0013  0.1310  0.4616  0.539  0.49
Olejniczak 1991   11  0.7319  0.0011  0.157  0.5315  0.487  0.50
Osinska 1989   2  0.782  0.052  0.352  0.8122  0.453  0.60
Paderewski 1912   17  0.7155  0.0025  0.0927  0.216  0.4523  0.31
Perahia 1994   57  0.5910  0.0157  0.0461  0.0417  0.4743  0.14
Perlemuter 1986   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   23  0.7022  0.0040  0.0741  0.0747  0.0657  0.06
Rangell 2001   31  0.6925  0.0034  0.0739  0.0722  0.4136  0.17
Risler 1920   40  0.6737  0.0043  0.0645  0.0626  0.3440  0.14
Rosen 1989   48  0.6428  0.0052  0.0552  0.0531  0.2745  0.12
Rubinstein 1939   50  0.6313  0.0051  0.0554  0.0510  0.4839  0.15
Rubinstein 1952   25  0.7029  0.0019  0.0922  0.2524  0.3324  0.29
Rubinstein 1966   42  0.679  0.0121  0.0830  0.1812  0.4425  0.28
Rummel 1943   43  0.6626  0.0053  0.0551  0.0513  0.3444  0.13
Shebanova 2002   33  0.6944  0.0033  0.0743  0.0730  0.1248  0.09
Smith 1975   6  0.7450  0.0014  0.1213  0.4210  0.4711  0.44
Szpilman 1948   7  0.7445  0.0012  0.138  0.5210  0.614  0.56
Uninsky 1971   19  0.7027  0.0031  0.0931  0.1620  0.2828  0.21
Wasowski 1980   49  0.6331  0.0054  0.0556  0.0523  0.2346  0.11
Weissenberg 1971   44  0.6541  0.0035  0.0933  0.0930  0.2141  0.14
Average   1  0.831  0.771  0.761  0.9022  0.412  0.61
Random 1    65  -0.0566  0.0065  0.0265  0.0227  0.1859  0.06
Random 2   64  0.0065  0.0064  0.0364  0.0344  0.0564  0.04
Random 3   66  -0.0763  0.0066  0.0166  0.0154  0.0466  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).