Hatto 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.4045  0.0015  0.1221  0.426  0.5914  0.50
Ashkenazy 1981   10  0.4825  0.009  0.117  0.646  0.683  0.66
Beliavsky 2004   30  0.3818  0.0025  0.1223  0.379  0.5916  0.47
BenOr 1989   35  0.353  0.0031  0.0831  0.1742  0.0836  0.12
Biret 1990   43  0.3446  0.0045  0.0646  0.0640  0.0648  0.06
Blet 2003   27  0.4026  0.0035  0.0838  0.0846  0.0646  0.07
Block 1995   21  0.4247  0.0029  0.0829  0.2033  0.1032  0.14
Brailowsky 1960   56  0.2648  0.0059  0.0454  0.0454  0.0649  0.05
Chiu 1999   17  0.4421  0.0020  0.0920  0.4413  0.4617  0.45
Clidat 1994   29  0.3814  0.0028  0.1426  0.2946  0.0635  0.13
Cohen 1997   23  0.408  0.0014  0.1018  0.463  0.6812  0.56
Coop 1987   3  0.5249  0.008  0.195  0.6722  0.4213  0.53
Cortot 1951   55  0.2727  0.0053  0.0456  0.0428  0.2739  0.10
Czerny 1949   59  0.2450  0.0055  0.0362  0.0355  0.0560  0.04
Czerny 1949b   57  0.262  0.0054  0.0357  0.0358  0.0463  0.03
Ezaki 2006   46  0.3228  0.0047  0.0547  0.0538  0.1043  0.07
Falvay 1989   26  0.4051  0.0030  0.0830  0.1828  0.1927  0.18
Ferenczy 1958   53  0.2829  0.0057  0.0363  0.0352  0.0659  0.04
Fiorentino 1962   52  0.2930  0.0049  0.0549  0.0555  0.0554  0.05
Fliere 1977   33  0.3652  0.0037  0.1333  0.1328  0.2526  0.18
Fou 1978   58  0.2531  0.0056  0.0360  0.0352  0.0558  0.04
Francois 1956   36  0.3532  0.0039  0.1035  0.1021  0.3228  0.18
Hatto 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Horowitz 1971   44  0.3333  0.0036  0.1034  0.1030  0.1934  0.14
Horowitz 1985   61  0.2222  0.0060  0.0455  0.0455  0.0555  0.04
Indjic 2001   1  0.991  1.001  0.981  1.001  1.001  1.00
Kapell 1951   34  0.369  0.0041  0.0743  0.0739  0.0745  0.07
Kiepura 1999   42  0.3434  0.0040  0.0937  0.0949  0.0544  0.07
Kilenyi 1937   50  0.3035  0.0052  0.0551  0.0553  0.0651  0.05
Kissin 1993   7  0.4919  0.0011  0.1910  0.6210  0.627  0.62
Kitain 1937   37  0.3553  0.0016  0.1327  0.2910  0.5122  0.38
Kushner 1990   12  0.4610  0.0019  0.0917  0.4924  0.3520  0.41
Levy 1951   54  0.2854  0.0058  0.0358  0.0342  0.0657  0.04
Luisada 1990   60  0.2355  0.0061  0.0452  0.0456  0.0461  0.04
Lushtak 2004   5  0.5036  0.003  0.253  0.7010  0.615  0.65
Lympany 1968   31  0.386  0.0027  0.0828  0.2227  0.2725  0.24
Magaloff 1977   48  0.3237  0.0046  0.0548  0.0538  0.0652  0.05
Magaloff 1977b   47  0.3220  0.0043  0.0744  0.0731  0.1338  0.10
Magin 1975   49  0.3138  0.0051  0.0645  0.0649  0.0550  0.05
Milkina 1970   2  0.5915  0.002  0.472  0.816  0.722  0.76
Mohovich 1999   15  0.4439  0.006  0.1312  0.567  0.629  0.59
Nadelmann 1956   25  0.4056  0.0023  0.1315  0.4952  0.0430  0.14
Ohlsson 1999   16  0.4416  0.0021  0.0916  0.4916  0.3221  0.40
Olejniczac 1990   51  0.3057  0.0050  0.0550  0.0551  0.0653  0.05
Olejniczak 1991   39  0.3458  0.0038  0.1036  0.1043  0.0841  0.09
Osinska 1989   22  0.4140  0.0032  0.0832  0.1645  0.0637  0.10
Paderewski 1912   32  0.3759  0.0034  0.0740  0.0725  0.2831  0.14
Perahia 1994   11  0.4811  0.004  0.138  0.6414  0.5011  0.57
Perlemuter 1986   4  0.5060  0.007  0.134  0.688  0.586  0.63
Poblocka 1999   45  0.3341  0.0048  0.0453  0.0445  0.0556  0.04
Rangell 2001   8  0.4942  0.0010  0.136  0.664  0.674  0.66
Risler 1920   40  0.3412  0.0042  0.0742  0.0741  0.0647  0.06
Rosen 1989   62  0.1061  0.0062  0.0359  0.0359  0.0365  0.03
Rubinstein 1939   9  0.494  0.005  0.159  0.638  0.588  0.60
Rubinstein 1952   18  0.447  0.0017  0.0922  0.3826  0.3023  0.34
Rubinstein 1966   6  0.5043  0.0012  0.1113  0.5426  0.3219  0.42
Rummel 1943   41  0.3423  0.0033  0.0739  0.0719  0.2833  0.14
Shebanova 2002   20  0.4262  0.0026  0.1125  0.3136  0.0829  0.16
Smith 1975   28  0.3917  0.0024  0.1524  0.3517  0.2824  0.31
Szpilman 1948   38  0.3563  0.0044  0.0741  0.0734  0.1140  0.09
Uninsky 1971   13  0.4664  0.0013  0.1311  0.6012  0.5410  0.57
Wasowski 1980   14  0.4565  0.0018  0.1214  0.5413  0.4315  0.48
Weissenberg 1971   19  0.4413  0.0022  0.1419  0.4412  0.4318  0.43
Random 1    65  -0.0344  0.0065  0.0265  0.0248  0.0464  0.03
Random 2   63  0.0024  0.0063  0.0361  0.0323  0.2842  0.09
Random 3   64  -0.015  0.0064  0.0264  0.0237  0.0762  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).