Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   12  0.745  0.093  0.227  0.5839  0.078  0.20
Ashkenazy 1981   29  0.6518  0.0037  0.0741  0.0746  0.0642  0.06
Beliavsky 2004   22  0.676  0.027  0.1716  0.4149  0.0416  0.13
BenOr 1989   42  0.6117  0.0047  0.0554  0.0560  0.0462  0.04
Biret 1990   3  0.793  0.114  0.232  0.7218  0.296  0.46
Blet 2003   18  0.6947  0.0015  0.2014  0.4743  0.0610  0.17
Block 1995   62  0.4646  0.0062  0.0551  0.0560  0.0461  0.04
Brailowsky 1960   20  0.6829  0.0034  0.0935  0.0954  0.0534  0.07
Chiu 1999   60  0.4926  0.0054  0.0556  0.0561  0.0457  0.04
Clidat 1994   23  0.6614  0.0121  0.0919  0.3557  0.0517  0.13
Cohen 1997   59  0.5149  0.0042  0.0555  0.0525  0.1629  0.09
Coop 1987   57  0.5450  0.0057  0.0739  0.0756  0.0448  0.05
Cortot 1951   48  0.5761  0.0059  0.0559  0.0537  0.0654  0.05
Czerny 1949   30  0.6442  0.0031  0.0829  0.1662  0.0433  0.08
Czerny 1949b   28  0.6541  0.0030  0.0625  0.2263  0.0331  0.08
Ezaki 2006   53  0.5563  0.0053  0.0558  0.0562  0.0455  0.04
Falvay 1989   61  0.4657  0.0061  0.0463  0.0452  0.0558  0.04
Ferenczy 1958   58  0.5152  0.0052  0.0460  0.0459  0.0460  0.04
Fiorentino 1962   35  0.6335  0.0038  0.1033  0.1057  0.0536  0.07
Fliere 1977   15  0.7151  0.0020  0.1415  0.4463  0.0321  0.11
Fou 1978   49  0.5759  0.0051  0.0557  0.0550  0.0645  0.05
Francois 1956   38  0.6328  0.0039  0.0647  0.0658  0.0364  0.04
Hatto 1997   33  0.6360  0.0028  0.1027  0.2134  0.0720  0.12
Horowitz 1971   1  0.831  0.341  0.341  0.8211  0.431  0.59
Horowitz 1985   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 2001   34  0.6365  0.0027  0.0626  0.2135  0.0624  0.11
Kapell 1951   47  0.5845  0.0048  0.0742  0.0763  0.0347  0.05
Kiepura 1999   44  0.6044  0.0043  0.0650  0.0636  0.0637  0.06
Kilenyi 1937   45  0.5930  0.0045  0.0838  0.0863  0.0351  0.05
Kissin 1993   37  0.6319  0.0024  0.0924  0.2360  0.0425  0.10
Kitain 1937   50  0.5611  0.0112  0.1313  0.472  0.622  0.54
Kushner 1990   6  0.7755  0.009  0.168  0.5659  0.0413  0.15
Levy 1951   39  0.6237  0.0033  0.0646  0.0645  0.0443  0.05
Luisada 1990   16  0.6910  0.0123  0.1122  0.3260  0.0326  0.10
Lushtak 2004   31  0.6436  0.0032  0.0532  0.1052  0.0440  0.06
Lympany 1968   17  0.6938  0.0022  0.1323  0.2944  0.0518  0.12
Magaloff 1977   25  0.6615  0.0040  0.0743  0.0756  0.0539  0.06
Magaloff 1977b   26  0.6658  0.0041  0.1034  0.1056  0.0441  0.06
Magin 1975   55  0.5431  0.0060  0.0645  0.0661  0.0444  0.05
Milkina 1970   7  0.7613  0.018  0.155  0.6057  0.0412  0.15
Mohovich 1999   9  0.7524  0.0014  0.2211  0.5359  0.0414  0.15
Nadelmann 1956   2  0.822  0.212  0.333  0.6614  0.334  0.47
Ohlsson 1999   54  0.557  0.0149  0.0648  0.0641  0.0549  0.05
Olejniczac 1990   32  0.6412  0.0136  0.0936  0.0957  0.0535  0.07
Olejniczak 1991   36  0.6334  0.0044  0.0837  0.0857  0.0538  0.06
Osinska 1989   8  0.7525  0.0011  0.219  0.5546  0.059  0.17
Paderewski 1912   24  0.6640  0.0025  0.0728  0.1955  0.0428  0.09
Perahia 1994   10  0.7532  0.0010  0.1812  0.509  0.445  0.47
Perlemuter 1986   27  0.6553  0.0035  0.0740  0.0758  0.0450  0.05
Poblocka 1999   51  0.5656  0.0058  0.0462  0.0457  0.0456  0.04
Rangell 2001   52  0.5620  0.0056  0.0552  0.0562  0.0463  0.04
Risler 1920   43  0.618  0.0126  0.0631  0.1137  0.0630  0.08
Rosen 1989   40  0.6127  0.0046  0.0644  0.0653  0.0553  0.05
Rubinstein 1939   4  0.794  0.115  0.234  0.6111  0.463  0.53
Rubinstein 1952   13  0.7343  0.0016  0.1417  0.4035  0.0515  0.14
Rubinstein 1966   5  0.789  0.016  0.326  0.6022  0.267  0.39
Rummel 1943   21  0.6848  0.0018  0.1021  0.3352  0.0423  0.11
Shebanova 2002   46  0.5816  0.0050  0.0553  0.0540  0.0652  0.05
Smith 1975   11  0.7423  0.0013  0.1610  0.5451  0.0511  0.16
Szpilman 1948   14  0.7221  0.0017  0.1218  0.3963  0.0322  0.11
Uninsky 1971   41  0.6122  0.0029  0.0530  0.1355  0.0532  0.08
Wasowski 1980   19  0.6933  0.0019  0.1020  0.3555  0.0419  0.12
Weissenberg 1971   56  0.5462  0.0055  0.0649  0.0661  0.0359  0.04
Random 1    64  -0.1264  0.0064  0.0264  0.0228  0.1146  0.05
Random 2   63  0.1239  0.0063  0.0461  0.0420  0.2127  0.09
Random 3   65  -0.1454  0.0065  0.0265  0.0246  0.0465  0.03

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).