Horszowski 1983

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   31  0.3528  0.0033  0.0734  0.0749  0.0538  0.06
Ax 1995   56  0.2756  0.0052  0.0542  0.0560  0.0548  0.05
Bacha 1998   11  0.4012  0.0215  0.0915  0.3640  0.073  0.16
Barbosa 1983   33  0.3327  0.0041  0.0540  0.0553  0.0643  0.05
BenOr 1989   16  0.3853  0.0029  0.0628  0.1764  0.0432  0.08
Biret 1990   1  0.454  0.073  0.212  0.5462  0.048  0.15
Brailowsky 1960   4  0.4117  0.016  0.1010  0.4545  0.081  0.19
Chiu 1999   58  0.2720  0.0144  0.0548  0.0564  0.0354  0.04
Clidat 1994   26  0.3514  0.0212  0.1213  0.4238  0.065  0.16
Cohen 1997   61  0.2618  0.0161  0.0362  0.0360  0.0465  0.03
Cortot 1951   50  0.3025  0.0056  0.0460  0.0446  0.0563  0.04
Csalog 1996   47  0.3126  0.0021  0.0724  0.1964  0.0331  0.08
Czerny 1989   19  0.3757  0.0020  0.0718  0.3162  0.0517  0.12
Ezaki 2006   29  0.355  0.0334  0.0733  0.0761  0.0535  0.06
Falvay 1989   8  0.4041  0.0016  0.1214  0.4061  0.0412  0.13
Fiorentino 1962   34  0.3333  0.0025  0.0621  0.2263  0.0429  0.09
Fliere 1977   35  0.3337  0.0024  0.0625  0.1962  0.0426  0.09
Fou 1978   44  0.3163  0.0037  0.0539  0.0558  0.0541  0.05
Francois 1956   39  0.3234  0.0036  0.0546  0.0563  0.0364  0.04
Goldenweiser 1946   49  0.3010  0.0245  0.0450  0.0442  0.0640  0.05
Gornostaeva 1994   43  0.3150  0.0040  0.0452  0.0455  0.0461  0.04
Groot 1988   21  0.3666  0.0031  0.0730  0.1560  0.0433  0.08
Hatto 1993   14  0.3829  0.0011  0.1212  0.4362  0.0416  0.13
Hatto 1997   7  0.4148  0.0010  0.126  0.4560  0.057  0.15
Horszowski 1983   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 2001   6  0.4154  0.008  0.155  0.4661  0.0411  0.14
Katin 1996   32  0.3331  0.0022  0.0629  0.1755  0.0527  0.09
Kiepura 1999   37  0.3221  0.0150  0.0543  0.0550  0.0639  0.05
Korecka 1992   60  0.2632  0.0060  0.0363  0.0356  0.0556  0.04
Kushner 1990   3  0.4324  0.017  0.1011  0.4449  0.064  0.16
Lilamand 2001   63  0.2322  0.0162  0.0459  0.0435  0.0644  0.05
Luisada 1990   54  0.2851  0.0057  0.0453  0.0454  0.0646  0.05
Luisada 2008   40  0.3264  0.0051  0.0635  0.0652  0.0636  0.06
Lushtak 2004   22  0.3661  0.0018  0.1019  0.3154  0.0519  0.12
Malcuzynski 1951   51  0.3060  0.0048  0.0547  0.0562  0.0549  0.05
Malcuzynski 1961   28  0.3539  0.0017  0.1316  0.3563  0.0418  0.12
Magaloff 1977   53  0.2819  0.0146  0.0541  0.0547  0.0737  0.06
Magin 1975   46  0.3155  0.0055  0.0361  0.0357  0.0555  0.04
Meguri 1997   13  0.3915  0.0219  0.0723  0.2137  0.0622  0.11
Milkina 1970   10  0.407  0.0314  0.1017  0.3360  0.0513  0.13
Mohovich 1999   55  0.2842  0.0043  0.0454  0.0453  0.0560  0.04
Nezu 2005   24  0.3540  0.0035  0.0636  0.0663  0.0447  0.05
Ohlsson 1999   41  0.3213  0.0238  0.0538  0.0563  0.0357  0.04
Olejniczak 1990   20  0.3611  0.0226  0.0531  0.1353  0.0725  0.10
Osinska 1989   25  0.3552  0.0032  0.0632  0.1255  0.0630  0.08
Perlemuter 1992   36  0.329  0.0239  0.0449  0.0444  0.0551  0.04
Poblocka 1999   52  0.2959  0.0059  0.0457  0.0455  0.0552  0.04
Rangell 2001   48  0.3046  0.0053  0.0455  0.0461  0.0462  0.04
Richter 1960   30  0.356  0.0342  0.0537  0.0543  0.0545  0.05
Richter 1961   45  0.3123  0.0147  0.0458  0.0458  0.0553  0.04
Rosen 1989   42  0.3138  0.0028  0.0527  0.1757  0.0528  0.09
Rubinstein 1939   17  0.3735  0.0027  0.0522  0.2154  0.0621  0.11
Rubinstein 1952   18  0.3730  0.0023  0.0520  0.2759  0.0520  0.12
Rubinstein 1966   38  0.3245  0.0049  0.0545  0.0563  0.0458  0.04
Rudanovskaya 2007   57  0.2749  0.0054  0.0456  0.0457  0.0459  0.04
Shebanova 2002   15  0.3836  0.009  0.119  0.4549  0.0415  0.13
Smith 1975   27  0.358  0.035  0.117  0.4559  0.056  0.15
Sztompka 1959   62  0.2447  0.0063  0.0544  0.0558  0.0542  0.05
Tanyel 1992   9  0.403  0.104  0.224  0.4862  0.049  0.14
Tsujii 2005   5  0.412  0.152  0.233  0.5162  0.0410  0.14
Uninsky 1959   2  0.451  0.291  0.291  0.5962  0.052  0.17
Vardi 1988   12  0.4016  0.0113  0.148  0.4557  0.0414  0.13
Wasowski 1980   59  0.2744  0.0058  0.0451  0.0463  0.0450  0.04
Zimerman 1975   23  0.3565  0.0030  0.0626  0.1956  0.0524  0.10
Random 1   65  0.0058  0.0066  0.0166  0.0138  0.0566  0.02
Random 2   64  0.0543  0.0064  0.0264  0.026  0.5623  0.11
Random 3   66  -0.0162  0.0065  0.0265  0.0218  0.2634  0.07

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).