Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   6  0.725  0.0010  0.139  0.567  0.534  0.54
Ashkenazy 1981   3  0.7516  0.002  0.362  0.8021  0.443  0.59
Beliavsky 2004   47  0.6211  0.0048  0.0651  0.0645  0.0553  0.05
BenOr 1989   12  0.7024  0.0019  0.1216  0.4551  0.0624  0.16
Biret 1990   29  0.6651  0.0038  0.0640  0.0647  0.0647  0.06
Blet 2003   22  0.6825  0.0036  0.1233  0.1241  0.0835  0.10
Block 1995   33  0.6652  0.0039  0.0738  0.0751  0.0545  0.06
Brailowsky 1960   58  0.5747  0.0060  0.0561  0.0559  0.0464  0.04
Chiu 1999   17  0.6939  0.007  0.184  0.6630  0.2310  0.39
Clidat 1994   43  0.6333  0.0046  0.0737  0.0744  0.0544  0.06
Cohen 1997   37  0.6526  0.0023  0.0929  0.192  0.7611  0.38
Coop 1987   11  0.7020  0.0011  0.148  0.5834  0.1214  0.26
Cortot 1951   41  0.6428  0.0054  0.0560  0.0536  0.0748  0.06
Czerny 1949   57  0.5858  0.0057  0.0644  0.0655  0.0557  0.05
Czerny 1949b   42  0.6435  0.0032  0.0732  0.1441  0.0833  0.11
Ezaki 2006   15  0.703  0.0022  0.0822  0.3647  0.0820  0.17
Falvay 1989   4  0.7323  0.008  0.156  0.6333  0.1113  0.26
Ferenczy 1958   56  0.5840  0.0059  0.0642  0.0659  0.0455  0.05
Fiorentino 1962   40  0.6462  0.0040  0.0650  0.0645  0.0746  0.06
Fliere 1977   9  0.7119  0.006  0.187  0.6237  0.0816  0.22
Fou 1978   27  0.6729  0.0028  0.1126  0.3055  0.0531  0.12
Francois 1956   53  0.607  0.0042  0.0559  0.054  0.6519  0.18
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1971   54  0.5953  0.0051  0.0649  0.0654  0.0462  0.05
Horowitz 1985   61  0.5059  0.0061  0.0554  0.0554  0.0550  0.05
Indjic 2001   1  0.981  1.001  0.981  1.001  1.001  1.00
Kapell 1951   18  0.6954  0.0025  0.0819  0.4044  0.0722  0.17
Kiepura 1999   45  0.6360  0.0055  0.0557  0.0544  0.0649  0.05
Kilenyi 1937   50  0.6130  0.0045  0.0556  0.0551  0.0656  0.05
Kissin 1993   19  0.696  0.0012  0.1612  0.5440  0.0817  0.21
Kitain 1937   62  0.3955  0.0062  0.0646  0.0648  0.0461  0.05
Kushner 1990   51  0.6121  0.0050  0.0645  0.0661  0.0454  0.05
Levy 1951   38  0.6514  0.0033  0.0834  0.0841  0.0638  0.07
Luisada 1990   35  0.6641  0.0041  0.0553  0.0538  0.1039  0.07
Lushtak 2004   16  0.6936  0.0014  0.1015  0.5017  0.417  0.45
Lympany 1968   36  0.659  0.0037  0.0643  0.0634  0.0740  0.06
Magaloff 1977   25  0.6722  0.0029  0.0927  0.2736  0.1023  0.16
Magaloff 1977b   24  0.684  0.0024  0.0825  0.3449  0.0726  0.15
Magin 1975   32  0.6648  0.0052  0.0552  0.0553  0.0552  0.05
Milkina 1970   2  0.7527  0.005  0.173  0.7112  0.562  0.63
Mohovich 1999   30  0.6645  0.0017  0.0920  0.3837  0.0627  0.15
Nadelmann 1956   31  0.6646  0.0020  0.0928  0.2657  0.0534  0.11
Ohlsson 1999   28  0.6717  0.0031  0.0731  0.1551  0.0637  0.09
Olejniczac 1990   39  0.6431  0.0044  0.0836  0.0862  0.0443  0.06
Olejniczak 1991   44  0.6349  0.0043  0.0555  0.0544  0.0842  0.06
Osinska 1989   5  0.7265  0.0013  0.1813  0.5147  0.0718  0.19
Paderewski 1912   55  0.5961  0.0049  0.0647  0.0655  0.0558  0.05
Perahia 1994   49  0.618  0.0030  0.0830  0.1713  0.5012  0.29
Perlemuter 1986   21  0.6810  0.0018  0.1121  0.3713  0.528  0.44
Poblocka 1999   13  0.7034  0.0021  0.0917  0.4360  0.0525  0.15
Rangell 2001   20  0.6932  0.0026  0.0924  0.3445  0.0728  0.15
Risler 1920   60  0.5337  0.0056  0.0562  0.0545  0.0741  0.06
Rosen 1989   52  0.6156  0.0058  0.0641  0.0653  0.0560  0.05
Rubinstein 1939   46  0.6342  0.0035  0.0835  0.0817  0.3821  0.17
Rubinstein 1952   34  0.6643  0.0034  0.0739  0.0758  0.0463  0.05
Rubinstein 1966   7  0.7238  0.0015  0.1211  0.5516  0.395  0.46
Rummel 1943   59  0.552  0.0053  0.0558  0.0548  0.0559  0.05
Shebanova 2002   8  0.7213  0.009  0.1610  0.5622  0.299  0.40
Smith 1975   14  0.7018  0.003  0.205  0.6333  0.1015  0.25
Szpilman 1948   48  0.6257  0.0047  0.0648  0.0656  0.0551  0.05
Uninsky 1971   26  0.6712  0.0016  0.1018  0.4148  0.0530  0.14
Wasowski 1980   10  0.7115  0.004  0.1814  0.5123  0.396  0.45
Weissenberg 1971   23  0.6844  0.0027  0.1323  0.3448  0.0629  0.14
Random 1    65  -0.0263  0.0065  0.0265  0.0247  0.0465  0.03
Random 2   63  0.0464  0.0063  0.0363  0.033  0.4732  0.12
Random 3   64  0.0050  0.0064  0.0264  0.028  0.5036  0.10

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).