Horowitz 1985

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   32  0.3518  0.0033  0.0843  0.0815  0.3831  0.17
Ashkenazy 1981   62  0.1643  0.0062  0.0461  0.0456  0.0561  0.04
Beliavsky 2004   55  0.239  0.0140  0.0840  0.0838  0.0942  0.08
BenOr 1989   20  0.3949  0.0028  0.0625  0.2433  0.1528  0.19
Biret 1990   18  0.4022  0.0027  0.0724  0.2429  0.1825  0.21
Blet 2003   48  0.3010  0.0118  0.0832  0.1627  0.2426  0.20
Block 1995   8  0.4311  0.017  0.145  0.609  0.534  0.56
Brailowsky 1960   5  0.446  0.014  0.1710  0.4824  0.4310  0.45
Chiu 1999   40  0.3220  0.0045  0.0935  0.0940  0.0645  0.07
Clidat 1994   28  0.3617  0.0022  0.0730  0.2125  0.2623  0.23
Cohen 1997   65  0.0462  0.0063  0.0363  0.0358  0.0366  0.03
Coop 1987   41  0.3163  0.0048  0.0654  0.0653  0.0555  0.05
Cortot 1951   36  0.3334  0.0044  0.0839  0.0811  0.5924  0.22
Czerny 1949   4  0.4612  0.013  0.243  0.6612  0.582  0.62
Czerny 1949b   15  0.4054  0.0016  0.1014  0.4317  0.519  0.47
Ezaki 2006   19  0.3947  0.0026  0.0626  0.2231  0.2722  0.24
Falvay 1989   27  0.3737  0.0031  0.0928  0.2130  0.1629  0.18
Ferenczy 1958   47  0.3028  0.0039  0.0936  0.0936  0.1040  0.09
Fiorentino 1962   26  0.3736  0.0030  0.0919  0.2920  0.3817  0.33
Fliere 1977   51  0.2744  0.0054  0.0838  0.0863  0.0354  0.05
Fou 1978   50  0.2850  0.0047  0.0752  0.0743  0.0747  0.07
Francois 1956   61  0.2045  0.0061  0.0362  0.0345  0.0563  0.04
Hatto 1997   57  0.2258  0.0056  0.0556  0.0556  0.0458  0.04
Horowitz 1971   1  0.621  0.421  0.411  0.852  0.811  0.83
Horowitz 1985   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 2001   58  0.2166  0.0058  0.0457  0.0461  0.0365  0.03
Kapell 1951   37  0.3341  0.0034  0.0747  0.0727  0.2735  0.14
Kiepura 1999   3  0.4814  0.006  0.204  0.6212  0.533  0.57
Kilenyi 1937   23  0.3732  0.0029  0.0721  0.2824  0.3019  0.29
Kissin 1993   29  0.3629  0.0024  0.0827  0.2229  0.1727  0.19
Kitain 1937   42  0.313  0.0312  0.1322  0.2713  0.4714  0.36
Kushner 1990   53  0.2653  0.0052  0.0933  0.0953  0.0548  0.07
Levy 1951   10  0.4224  0.0017  0.1113  0.4710  0.527  0.49
Luisada 1990   24  0.3713  0.0019  0.0818  0.2919  0.4315  0.35
Lushtak 2004   22  0.3816  0.0014  0.1215  0.3938  0.0830  0.18
Lympany 1968   30  0.3615  0.0038  0.0837  0.0839  0.0743  0.07
Magaloff 1977   60  0.2155  0.0059  0.0458  0.0461  0.0364  0.03
Magaloff 1977b   56  0.2256  0.0057  0.0459  0.0455  0.0459  0.04
Magin 1975   14  0.418  0.015  0.148  0.5322  0.428  0.47
Milkina 1970   39  0.3238  0.0023  0.0729  0.2145  0.0636  0.11
Mohovich 1999   9  0.425  0.0213  0.2211  0.4815  0.526  0.50
Nadelmann 1956   12  0.4123  0.0011  0.177  0.5721  0.2313  0.36
Ohlsson 1999   59  0.2121  0.0060  0.0653  0.0649  0.0556  0.05
Olejniczac 1990   21  0.3835  0.0021  0.0816  0.3523  0.4112  0.38
Olejniczak 1991   31  0.3559  0.0036  0.0745  0.0733  0.1238  0.09
Osinska 1989   6  0.4346  0.0010  0.156  0.6031  0.2611  0.39
Paderewski 1912   45  0.3157  0.0049  0.0655  0.0642  0.0753  0.06
Perahia 1994   7  0.434  0.028  0.1612  0.4828  0.2218  0.32
Perlemuter 1986   43  0.3151  0.0050  0.0749  0.0759  0.0457  0.05
Poblocka 1999   11  0.4219  0.0015  0.1020  0.2821  0.2720  0.27
Rangell 2001   54  0.2525  0.0055  0.0460  0.0442  0.0562  0.04
Risler 1920   52  0.2739  0.0051  0.0751  0.0731  0.1137  0.09
Rosen 1989   46  0.3052  0.0046  0.0841  0.0830  0.3034  0.15
Rubinstein 1939   35  0.3331  0.0043  0.0844  0.0848  0.0551  0.06
Rubinstein 1952   34  0.3464  0.0035  0.0934  0.0946  0.0550  0.07
Rubinstein 1966   38  0.3365  0.0042  0.0750  0.0754  0.0552  0.06
Rummel 1943   44  0.3160  0.0032  0.0831  0.1627  0.1932  0.17
Shebanova 2002   33  0.3430  0.0041  0.0842  0.0840  0.0749  0.07
Smith 1975   13  0.4126  0.0020  0.0717  0.3325  0.1921  0.25
Szpilman 1948   49  0.3033  0.0053  0.0746  0.0743  0.0744  0.07
Uninsky 1971   16  0.407  0.019  0.149  0.5013  0.545  0.52
Wasowski 1980   17  0.4048  0.0025  0.0623  0.2635  0.0933  0.15
Weissenberg 1971   25  0.3727  0.0037  0.0748  0.0743  0.0746  0.07
Average   2  0.562  0.402  0.622  0.8431  0.1416  0.34
Random 1    64  0.0561  0.0064  0.0265  0.025  0.4439  0.09
Random 2   63  0.0742  0.0065  0.0264  0.029  0.4541  0.09
Random 3   66  0.0440  0.0066  0.0166  0.0129  0.1460  0.04

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).