Ashkenazy 1981

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   24  0.728  0.0116  0.0717  0.358  0.5613  0.44
Ashkenazy 1981   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Beliavsky 2004   49  0.6517  0.0051  0.0936  0.0919  0.3038  0.16
BenOr 1989   11  0.7541  0.0015  0.1414  0.4232  0.1228  0.22
Biret 1990   37  0.6924  0.0037  0.0648  0.0611  0.4737  0.17
Blet 2003   38  0.6910  0.0120  0.0732  0.1326  0.1840  0.15
Block 1995   44  0.6842  0.0048  0.0743  0.0732  0.2043  0.12
Brailowsky 1960   57  0.5662  0.0060  0.0561  0.0548  0.0755  0.06
Chiu 1999   28  0.7113  0.0025  0.0721  0.2423  0.4021  0.31
Clidat 1994   25  0.7119  0.0027  0.0725  0.2222  0.2426  0.23
Cohen 1997   59  0.5549  0.0058  0.0650  0.065  0.6730  0.20
Coop 1987   12  0.7516  0.008  0.234  0.6124  0.3311  0.45
Cortot 1951   58  0.5560  0.0061  0.0562  0.0537  0.0860  0.06
Czerny 1949   41  0.6848  0.0024  0.0627  0.1733  0.0842  0.12
Czerny 1949b   35  0.7059  0.0023  0.0722  0.2426  0.2127  0.22
Ezaki 2006   5  0.7736  0.009  0.138  0.5422  0.429  0.48
Falvay 1989   21  0.7229  0.0033  0.0745  0.0733  0.1147  0.09
Ferenczy 1958   61  0.5358  0.0059  0.0655  0.0663  0.0463  0.05
Fiorentino 1962   39  0.6931  0.0045  0.0935  0.0941  0.0752  0.08
Fliere 1977   7  0.767  0.016  0.167  0.5523  0.457  0.50
Fou 1978   10  0.763  0.0314  0.1213  0.4521  0.3614  0.40
Francois 1956   42  0.6815  0.0043  0.0649  0.065  0.5734  0.18
Hatto 1997   31  0.7052  0.0030  0.0628  0.175  0.6120  0.32
Horowitz 1971   52  0.6339  0.0053  0.0653  0.0647  0.0659  0.06
Horowitz 1985   62  0.4951  0.0062  0.0463  0.0440  0.0662  0.05
Indjic 2001   27  0.7120  0.0022  0.0720  0.244  0.6715  0.40
Kapell 1951   13  0.7457  0.0011  0.1811  0.4917  0.4510  0.47
Kiepura 1999   43  0.6843  0.0050  0.0654  0.0653  0.0561  0.05
Kilenyi 1937   15  0.7427  0.0010  0.1212  0.4525  0.4412  0.44
Kissin 1993   3  0.7911  0.013  0.223  0.7421  0.394  0.54
Kitain 1937   63  0.3950  0.0063  0.0557  0.0529  0.2046  0.10
Kushner 1990   16  0.7435  0.0019  0.1016  0.3618  0.3517  0.35
Levy 1951   56  0.5764  0.0057  0.0656  0.0635  0.0756  0.06
Luisada 1990   33  0.7032  0.0042  0.0652  0.0651  0.0658  0.06
Lushtak 2004   22  0.7254  0.0026  0.0619  0.3018  0.4018  0.35
Lympany 1968   45  0.6834  0.0038  0.0838  0.0823  0.3535  0.17
Magaloff 1977   18  0.7353  0.0034  0.0839  0.0813  0.4829  0.20
Magaloff 1977b   19  0.7333  0.0029  0.0829  0.1413  0.4823  0.26
Magin 1975   4  0.7730  0.007  0.185  0.5826  0.418  0.49
Milkina 1970   14  0.7438  0.0021  0.0723  0.2219  0.5119  0.33
Mohovich 1999   47  0.6745  0.0046  0.0746  0.0730  0.2244  0.12
Nadelmann 1956   48  0.6744  0.0044  0.0741  0.0744  0.0657  0.06
Ohlsson 1999   8  0.764  0.025  0.206  0.566  0.672  0.61
Olejniczac 1990   36  0.7014  0.0039  0.0837  0.0833  0.1148  0.09
Olejniczak 1991   23  0.7223  0.0031  0.0631  0.1447  0.0745  0.10
Osinska 1989   2  0.812  0.152  0.592  0.796  0.601  0.69
Paderewski 1912   40  0.6925  0.0041  0.0560  0.0515  0.3341  0.13
Perahia 1994   60  0.5526  0.0054  0.0558  0.0532  0.1650  0.09
Perlemuter 1986   20  0.7322  0.0012  0.1315  0.3611  0.4316  0.39
Poblocka 1999   29  0.7146  0.0036  0.1430  0.1424  0.2732  0.19
Rangell 2001   6  0.7655  0.004  0.179  0.528  0.575  0.54
Risler 1920   53  0.6365  0.0052  0.0647  0.0638  0.0853  0.07
Rosen 1989   54  0.6237  0.0056  0.0559  0.0553  0.0564  0.05
Rubinstein 1939   51  0.6312  0.0040  0.0651  0.0621  0.3639  0.15
Rubinstein 1952   9  0.766  0.0113  0.1110  0.5111  0.546  0.52
Rubinstein 1966   32  0.705  0.0118  0.0824  0.2215  0.4322  0.31
Rummel 1943   55  0.6056  0.0055  0.0744  0.0731  0.1149  0.09
Shebanova 2002   17  0.739  0.0117  0.0718  0.3425  0.1824  0.25
Smith 1975   30  0.7118  0.0032  0.0633  0.1222  0.2336  0.17
Szpilman 1948   26  0.7147  0.0035  0.1034  0.1026  0.3631  0.19
Uninsky 1971   34  0.7040  0.0028  0.1026  0.1917  0.2925  0.23
Wasowski 1980   46  0.6828  0.0049  0.0742  0.0714  0.4533  0.18
Weissenberg 1971   50  0.6521  0.0047  0.0740  0.0744  0.0754  0.07
Average   1  0.851  0.661  0.651  0.8821  0.423  0.61
Random 1    66  -0.0761  0.0066  0.0166  0.0161  0.0266  0.01
Random 2   64  0.0263  0.0064  0.0364  0.0336  0.0665  0.04
Random 3   65  -0.0266  0.0065  0.0265  0.0212  0.3951  0.09

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).