Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   7  0.7029  0.008  0.139  0.5314  0.463  0.49
Ashkenazy 1981   6  0.7010  0.007  0.175  0.6128  0.179  0.32
Beliavsky 2004   46  0.605  0.0023  0.0824  0.1825  0.2115  0.19
BenOr 1989   15  0.672  0.0022  0.0922  0.2836  0.0824  0.15
Biret 1990   52  0.5917  0.0053  0.0653  0.0654  0.0561  0.05
Blet 2003   18  0.6645  0.0030  0.0729  0.1662  0.0436  0.08
Block 1995   48  0.6022  0.0052  0.0834  0.0863  0.0359  0.05
Brailowsky 1960   60  0.5146  0.0063  0.0557  0.0561  0.0553  0.05
Chiu 1999   31  0.6330  0.0017  0.1515  0.4335  0.0814  0.19
Clidat 1994   38  0.6231  0.0027  0.0726  0.1845  0.0633  0.10
Cohen 1997   40  0.6111  0.0025  0.0730  0.163  0.727  0.34
Coop 1987   19  0.6647  0.0016  0.1213  0.4344  0.0618  0.16
Cortot 1951   55  0.5723  0.0059  0.0560  0.0535  0.0944  0.07
Czerny 1949   56  0.5748  0.0042  0.0738  0.0759  0.0458  0.05
Czerny 1949b   45  0.606  0.0038  0.0740  0.0755  0.0455  0.05
Ezaki 2006   23  0.6532  0.0026  0.0723  0.2447  0.0626  0.12
Falvay 1989   13  0.6733  0.0021  0.1217  0.3653  0.0619  0.15
Ferenczy 1958   53  0.5849  0.0057  0.0558  0.0548  0.0657  0.05
Fiorentino 1962   47  0.6050  0.0048  0.0654  0.0646  0.0651  0.06
Fliere 1977   11  0.677  0.009  0.1410  0.5136  0.0913  0.21
Fou 1978   35  0.6318  0.0044  0.0651  0.0636  0.0941  0.07
Francois 1956   43  0.6051  0.0050  0.0743  0.0745  0.0552  0.06
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1971   50  0.5934  0.0040  0.0556  0.0540  0.0660  0.05
Horowitz 1985   62  0.4852  0.0061  0.0462  0.0451  0.0463  0.04
Indjic 2001   1  1.001  1.001  0.981  1.001  1.001  1.00
Kapell 1951   32  0.6353  0.0043  0.0645  0.0655  0.0556  0.05
Kiepura 1999   30  0.6424  0.0051  0.1033  0.1037  0.0735  0.08
Kilenyi 1937   49  0.6035  0.0028  0.0728  0.1747  0.0632  0.10
Kissin 1993   4  0.7236  0.004  0.284  0.6230  0.188  0.33
Kitain 1937   63  0.3137  0.0062  0.0461  0.0432  0.1638  0.08
Kushner 1990   17  0.674  0.0015  0.1214  0.4348  0.0522  0.15
Levy 1951   58  0.5254  0.0058  0.0739  0.0740  0.0647  0.06
Luisada 1990   54  0.5755  0.0055  0.0650  0.0647  0.0649  0.06
Lushtak 2004   10  0.6956  0.006  0.216  0.6125  0.304  0.43
Lympany 1968   28  0.643  0.0041  0.0646  0.0648  0.0745  0.06
Magaloff 1977   27  0.6425  0.0045  0.0648  0.0637  0.0748  0.06
Magaloff 1977b   29  0.6457  0.0039  0.0647  0.0646  0.0650  0.06
Magin 1975   21  0.6519  0.0034  0.0742  0.0742  0.0740  0.07
Milkina 1970   3  0.7726  0.003  0.233  0.7510  0.622  0.68
Mohovich 1999   36  0.6258  0.0014  0.1219  0.3431  0.2111  0.27
Nadelmann 1956   26  0.6438  0.0019  0.1121  0.2948  0.0528  0.12
Ohlsson 1999   20  0.658  0.0020  0.1220  0.3340  0.0721  0.15
Olejniczac 1990   44  0.6059  0.0049  0.0736  0.0744  0.0742  0.07
Olejniczak 1991   22  0.6560  0.0032  0.0732  0.1342  0.0830  0.10
Osinska 1989   5  0.7261  0.0010  0.128  0.5355  0.0617  0.18
Paderewski 1912   51  0.5939  0.0035  0.0652  0.0634  0.0843  0.07
Perahia 1994   42  0.6114  0.0024  0.0825  0.1813  0.5210  0.31
Perlemuter 1986   14  0.6762  0.005  0.187  0.5926  0.216  0.35
Poblocka 1999   34  0.6340  0.0047  0.0555  0.0550  0.0654  0.05
Rangell 2001   16  0.6727  0.0018  0.1318  0.3633  0.1016  0.19
Risler 1920   57  0.5312  0.0056  0.0737  0.0739  0.0739  0.07
Rosen 1989   59  0.5141  0.0060  0.0364  0.0362  0.0365  0.03
Rubinstein 1939   37  0.629  0.0036  0.0649  0.0617  0.4020  0.15
Rubinstein 1952   33  0.6315  0.0033  0.0735  0.0764  0.0362  0.05
Rubinstein 1966   8  0.7063  0.0031  0.0827  0.1739  0.0631  0.10
Rummel 1943   61  0.5042  0.0054  0.0559  0.0557  0.0464  0.04
Shebanova 2002   9  0.7064  0.0011  0.1212  0.4755  0.0523  0.15
Smith 1975   24  0.6443  0.0013  0.1316  0.3847  0.0525  0.14
Szpilman 1948   41  0.6144  0.0046  0.0741  0.0758  0.0546  0.06
Uninsky 1971   12  0.6720  0.0012  0.1111  0.5018  0.295  0.38
Wasowski 1980   25  0.6465  0.0037  0.0644  0.0622  0.2427  0.12
Weissenberg 1971   39  0.6116  0.0029  0.0631  0.1547  0.0634  0.09
Average   2  0.7813  0.002  0.642  0.8842  0.0712  0.25
Random 1    66  -0.0428  0.0066  0.0166  0.0159  0.0266  0.01
Random 2   64  0.0566  0.0064  0.0363  0.0317  0.3729  0.11
Random 3   65  -0.0121  0.0065  0.0265  0.0217  0.3237  0.08
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).