Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   19  0.735  0.0025  0.0624  0.2715  0.3411  0.30
Ashkenazy 1981   2  0.792  0.003  0.242  0.7227  0.384  0.52
Beliavsky 2004   46  0.6433  0.0052  0.0361  0.0351  0.0464  0.03
BenOr 1989   20  0.7318  0.0018  0.0817  0.3537  0.0727  0.16
Biret 1990   13  0.7456  0.0017  0.1314  0.4339  0.0724  0.17
Blet 2003   32  0.6914  0.0040  0.0736  0.0752  0.0545  0.06
Block 1995   23  0.7131  0.0033  0.0739  0.0737  0.0646  0.06
Brailowsky 1960   50  0.6251  0.0055  0.0553  0.0555  0.0459  0.04
Chiu 1999   10  0.753  0.005  0.217  0.5626  0.427  0.48
Clidat 1994   44  0.6560  0.0049  0.0737  0.0734  0.0742  0.07
Cohen 1997   30  0.7048  0.0029  0.0729  0.1426  0.1826  0.16
Coop 1987   11  0.7524  0.0012  0.1811  0.5134  0.1213  0.25
Cortot 1951   22  0.7247  0.0020  0.0723  0.2844  0.0532  0.12
Czerny 1949   55  0.5965  0.0060  0.0455  0.0456  0.0653  0.05
Czerny 1949b   41  0.6717  0.0021  0.0727  0.1735  0.1129  0.14
Ezaki 2006   12  0.7446  0.0026  0.0822  0.3040  0.0828  0.15
Falvay 1989   3  0.787  0.007  0.334  0.6512  0.493  0.56
Ferenczy 1958   58  0.5852  0.0059  0.0360  0.0354  0.0465  0.03
Fiorentino 1962   38  0.6832  0.0035  0.0643  0.0661  0.0361  0.04
Fliere 1977   7  0.7520  0.0011  0.1210  0.5426  0.299  0.40
Fou 1978   25  0.7115  0.0015  0.0716  0.4040  0.0820  0.18
Francois 1956   54  0.5913  0.0044  0.0740  0.071  0.7715  0.23
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1971   56  0.5934  0.0050  0.0457  0.0454  0.0562  0.04
Horowitz 1985   61  0.5111  0.0051  0.0459  0.0458  0.0458  0.04
Indjic 2001   1  0.971  0.991  0.971  0.991  0.991  0.99
Kapell 1951   8  0.759  0.0010  0.208  0.5643  0.0621  0.18
Kiepura 1999   47  0.6361  0.0058  0.0362  0.0362  0.0363  0.03
Kilenyi 1937   48  0.6325  0.0046  0.0647  0.0654  0.0452  0.05
Kissin 1993   43  0.6649  0.0043  0.0834  0.0857  0.0444  0.06
Kitain 1937   62  0.4853  0.0062  0.0651  0.0657  0.0457  0.05
Kushner 1990   59  0.5540  0.0061  0.0456  0.0457  0.0460  0.04
Levy 1951   4  0.7830  0.004  0.323  0.7121  0.452  0.57
Luisada 1990   17  0.748  0.0024  0.0719  0.3331  0.1416  0.21
Lushtak 2004   29  0.7026  0.0032  0.0730  0.1319  0.3417  0.21
Lympany 1968   39  0.674  0.0023  0.0732  0.1135  0.0836  0.09
Magaloff 1977   26  0.7141  0.0022  0.0721  0.3039  0.0730  0.14
Magaloff 1977b   24  0.7128  0.0019  0.0818  0.3436  0.0825  0.16
Magin 1975   42  0.6627  0.0054  0.0454  0.0437  0.0750  0.05
Milkina 1970   18  0.7462  0.0028  0.0925  0.2517  0.2612  0.25
Mohovich 1999   28  0.7054  0.0030  0.0628  0.1445  0.0541  0.08
Nadelmann 1956   34  0.6823  0.0014  0.0726  0.2343  0.0631  0.12
Ohlsson 1999   37  0.6821  0.0038  0.0645  0.0631  0.1537  0.09
Olejniczac 1990   33  0.6819  0.0036  0.0642  0.0653  0.0554  0.05
Olejniczak 1991   51  0.6242  0.0056  0.0552  0.0561  0.0549  0.05
Osinska 1989   21  0.7355  0.0027  0.1020  0.3236  0.0922  0.17
Paderewski 1912   57  0.5857  0.0057  0.0648  0.0650  0.0555  0.05
Perahia 1994   52  0.6210  0.0045  0.0738  0.0724  0.1633  0.11
Perlemuter 1986   36  0.6829  0.0037  0.0649  0.069  0.5123  0.17
Poblocka 1999   6  0.7763  0.009  0.186  0.5837  0.0914  0.23
Rangell 2001   27  0.7164  0.0031  0.0631  0.1347  0.0639  0.09
Risler 1920   60  0.5350  0.0053  0.0458  0.0443  0.0748  0.05
Rosen 1989   31  0.7038  0.0041  0.0835  0.0814  0.4419  0.19
Rubinstein 1939   45  0.6435  0.0039  0.0741  0.0729  0.1534  0.10
Rubinstein 1952   35  0.6843  0.0042  0.0933  0.0944  0.0643  0.07
Rubinstein 1966   16  0.7444  0.0013  0.1312  0.509  0.495  0.49
Rummel 1943   53  0.606  0.0047  0.0644  0.0645  0.0556  0.05
Shebanova 2002   14  0.7412  0.008  0.1713  0.436  0.556  0.49
Smith 1975   9  0.7516  0.006  0.265  0.6228  0.2210  0.37
Szpilman 1948   49  0.6358  0.0048  0.0650  0.0650  0.0547  0.05
Uninsky 1971   40  0.6736  0.0034  0.0646  0.0654  0.0451  0.05
Wasowski 1980   5  0.7739  0.002  0.189  0.5522  0.388  0.46
Weissenberg 1971   15  0.7437  0.0016  0.0915  0.4235  0.0918  0.19
Random 1    65  0.0022  0.0064  0.0264  0.0223  0.3340  0.08
Random 2   63  0.0259  0.0063  0.0363  0.0314  0.2738  0.09
Random 3   64  0.0145  0.0065  0.0265  0.028  0.5035  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).