Horowitz 1985

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.5718  0.0023  0.0920  0.2825  0.228  0.25
Ashkenazy 1981   3  0.6219  0.004  0.162  0.5247  0.069  0.18
Beliavsky 2004   55  0.5041  0.0047  0.0553  0.0541  0.0647  0.05
BenOr 1989   12  0.6036  0.0020  0.088  0.4359  0.0418  0.13
Biret 1990   15  0.5960  0.0019  0.0817  0.3461  0.0422  0.12
Blet 2003   22  0.5735  0.0027  0.0726  0.2157  0.0527  0.10
Block 1995   21  0.589  0.0110  0.0824  0.2541  0.0523  0.11
Brailowsky 1960   19  0.5838  0.0032  0.0731  0.1339  0.0725  0.10
Chiu 1999   44  0.5454  0.0042  0.0934  0.0954  0.0535  0.07
Clidat 1994   45  0.5322  0.0039  0.0648  0.0658  0.0453  0.05
Cohen 1997   60  0.4365  0.0059  0.0363  0.0350  0.0464  0.03
Coop 1987   49  0.5161  0.0048  0.0551  0.0552  0.0548  0.05
Cortot 1951   16  0.5852  0.0025  0.0625  0.2253  0.0433  0.09
Czerny 1949   46  0.5262  0.0049  0.0647  0.0652  0.0640  0.06
Czerny 1949b   30  0.563  0.043  0.1410  0.4128  0.254  0.32
Ezaki 2006   50  0.5145  0.0054  0.0460  0.0460  0.0457  0.04
Falvay 1989   33  0.5648  0.0043  0.0933  0.0960  0.0438  0.06
Ferenczy 1958   32  0.5616  0.008  0.0816  0.3521  0.286  0.31
Fiorentino 1962   34  0.5663  0.0030  0.0630  0.1354  0.0534  0.08
Fliere 1977   5  0.625  0.027  0.099  0.4231  0.167  0.26
Fou 1978   40  0.5550  0.0036  0.0743  0.0746  0.0639  0.06
Francois 1956   62  0.3847  0.0062  0.0650  0.0648  0.0643  0.06
Hatto 1997   51  0.5144  0.0052  0.0458  0.0459  0.0461  0.04
Horowitz 1971   1  0.761  0.731  0.721  0.851  0.811  0.83
Horowitz 1985   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 2001   54  0.5028  0.0057  0.0557  0.0549  0.0555  0.05
Kapell 1951   26  0.5610  0.0128  0.0727  0.1958  0.0526  0.10
Kiepura 1999   2  0.632  0.042  0.276  0.4317  0.392  0.41
Kilenyi 1937   4  0.6257  0.005  0.1111  0.3949  0.0613  0.15
Kissin 1993   9  0.6115  0.0017  0.117  0.4353  0.0512  0.15
Kitain 1937   27  0.5620  0.0013  0.0818  0.3111  0.483  0.39
Kushner 1990   57  0.4949  0.0041  0.0645  0.0662  0.0360  0.04
Levy 1951   8  0.616  0.016  0.103  0.5152  0.0510  0.16
Luisada 1990   47  0.5258  0.0055  0.0649  0.0659  0.0554  0.05
Lushtak 2004   28  0.5612  0.0129  0.0729  0.1442  0.0631  0.09
Lympany 1968   58  0.4713  0.0156  0.0555  0.0561  0.0458  0.04
Magaloff 1977   11  0.6130  0.0016  0.0914  0.3557  0.0517  0.13
Magaloff 1977b   10  0.6124  0.0015  0.1112  0.3956  0.0514  0.14
Magin 1975   7  0.6225  0.0011  0.0919  0.3149  0.0520  0.12
Milkina 1970   48  0.5259  0.0051  0.0556  0.0547  0.0546  0.05
Mohovich 1999   53  0.5055  0.0053  0.0461  0.0444  0.0562  0.04
Nadelmann 1956   41  0.5540  0.0033  0.0739  0.0752  0.0450  0.05
Ohlsson 1999   29  0.5631  0.0037  0.0740  0.0738  0.0736  0.07
Olejniczac 1990   23  0.5717  0.0026  0.0723  0.2658  0.0428  0.10
Olejniczak 1991   31  0.5634  0.0031  0.0632  0.1347  0.0629  0.09
Osinska 1989   36  0.554  0.0235  0.0741  0.0761  0.0444  0.05
Paderewski 1912   37  0.5526  0.0038  0.0835  0.0856  0.0441  0.06
Perahia 1994   25  0.5714  0.0124  0.0928  0.1750  0.0532  0.09
Perlemuter 1986   56  0.5051  0.0058  0.0646  0.0658  0.0449  0.05
Poblocka 1999   39  0.5521  0.0044  0.0736  0.0754  0.0537  0.06
Rangell 2001   52  0.5056  0.0050  0.0552  0.0561  0.0463  0.04
Risler 1920   61  0.4146  0.0060  0.0459  0.0461  0.0459  0.04
Rosen 1989   42  0.5429  0.0045  0.0744  0.0744  0.0642  0.06
Rubinstein 1939   17  0.587  0.019  0.1115  0.3521  0.275  0.31
Rubinstein 1952   38  0.5523  0.0040  0.0742  0.0759  0.0456  0.05
Rubinstein 1966   43  0.5433  0.0046  0.0737  0.0757  0.0451  0.05
Rummel 1943   18  0.5837  0.0014  0.0922  0.2652  0.0524  0.11
Shebanova 2002   59  0.4443  0.0061  0.0554  0.0555  0.0552  0.05
Smith 1975   14  0.6011  0.0118  0.104  0.4552  0.0416  0.13
Szpilman 1948   20  0.5832  0.0022  0.1113  0.3654  0.0515  0.13
Uninsky 1971   6  0.628  0.0112  0.095  0.4542  0.0611  0.16
Wasowski 1980   13  0.6039  0.0021  0.1021  0.2855  0.0519  0.12
Weissenberg 1971   35  0.5542  0.0034  0.0738  0.0763  0.0345  0.05
Random 1    65  -0.0353  0.0065  0.0265  0.0252  0.0365  0.02
Random 2   63  0.0464  0.0063  0.0362  0.0313  0.2830  0.09
Random 3   64  0.0427  0.0064  0.0364  0.037  0.5021  0.12

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).