Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   48  0.5418  0.0144  0.0745  0.0759  0.0455  0.05
Ashkenazy 1981   36  0.6033  0.0037  0.1334  0.1350  0.0636  0.09
Beliavsky 2004   30  0.6310  0.0232  0.1329  0.2525  0.2214  0.23
BenOr 1989   27  0.6463  0.0030  0.0931  0.2359  0.0434  0.10
Biret 1990   22  0.6511  0.0123  0.1620  0.4343  0.0724  0.17
Blet 2003   45  0.5560  0.0049  0.0742  0.0759  0.0452  0.05
Block 1995   31  0.6337  0.0034  0.1037  0.1038  0.0835  0.09
Brailowsky 1960   54  0.5142  0.0054  0.0553  0.0555  0.0549  0.05
Chiu 1999   15  0.6730  0.0019  0.0821  0.4239  0.1021  0.20
Clidat 1994   25  0.6526  0.0031  0.1128  0.2734  0.0729  0.14
Cohen 1997   62  0.4229  0.0063  0.0552  0.0563  0.0362  0.04
Coop 1987   3  0.7312  0.013  0.343  0.6827  0.352  0.49
Cortot 1951   55  0.5065  0.0056  0.0555  0.0559  0.0463  0.04
Czerny 1949   20  0.668  0.025  0.1311  0.5429  0.218  0.34
Czerny 1949b   35  0.6128  0.0029  0.0832  0.2141  0.0830  0.13
Ezaki 2006   5  0.7016  0.018  0.207  0.5532  0.209  0.33
Falvay 1989   26  0.649  0.0225  0.1222  0.4252  0.0625  0.16
Ferenczy 1958   58  0.4838  0.0055  0.0554  0.0556  0.0554  0.05
Fiorentino 1962   18  0.6754  0.0022  0.1817  0.4535  0.1217  0.23
Fliere 1977   23  0.6540  0.0024  0.1424  0.3938  0.0723  0.17
Fou 1978   12  0.6731  0.0016  0.1514  0.4936  0.1019  0.22
Francois 1956   61  0.4222  0.0061  0.0363  0.0360  0.0466  0.03
Hatto 1997   51  0.5358  0.0045  0.0746  0.0763  0.0453  0.05
Horowitz 1971   56  0.4939  0.0058  0.0460  0.0443  0.0658  0.05
Horowitz 1985   59  0.4549  0.0060  0.0456  0.0446  0.0559  0.04
Indjic 2001   47  0.5462  0.0043  0.0647  0.0641  0.0745  0.06
Kapell 1951   7  0.7024  0.0010  0.189  0.5435  0.1013  0.23
Kiepura 1999   42  0.5647  0.0048  0.0648  0.0660  0.0447  0.05
Kilenyi 1937   8  0.6941  0.009  0.1410  0.5429  0.306  0.40
Kissin 1993   4  0.716  0.024  0.164  0.6035  0.1112  0.26
Kitain 1937   63  0.4023  0.0062  0.0458  0.0460  0.0365  0.03
Kushner 1990   34  0.613  0.086  0.1430  0.2428  0.2215  0.23
Levy 1951   28  0.6414  0.0127  0.0926  0.3338  0.0627  0.14
Luisada 1990   10  0.6832  0.0014  0.145  0.5625  0.403  0.47
Lushtak 2004   44  0.5653  0.0046  0.0939  0.0961  0.0444  0.06
Lympany 1968   53  0.5166  0.0053  0.0459  0.0463  0.0364  0.03
Magaloff 1977   9  0.6921  0.0111  0.228  0.5521  0.394  0.46
Magaloff 1977b   13  0.677  0.0212  0.2212  0.5322  0.365  0.44
Magin 1975   24  0.6550  0.0018  0.0819  0.4432  0.2010  0.30
Milkina 1970   40  0.5727  0.0039  0.0744  0.0756  0.0542  0.06
Mohovich 1999   32  0.6244  0.0028  0.0927  0.2959  0.0432  0.11
Nadelmann 1956   41  0.5735  0.0038  0.1335  0.1352  0.0537  0.08
Ohlsson 1999   29  0.635  0.0235  0.1433  0.1435  0.0831  0.11
Olejniczac 1990   17  0.6745  0.0021  0.1316  0.4540  0.0922  0.20
Olejniczak 1991   11  0.6864  0.0015  0.1215  0.4738  0.1018  0.22
Osinska 1989   14  0.6752  0.0013  0.1813  0.5244  0.0820  0.20
Paderewski 1912   39  0.5859  0.0041  0.1136  0.1151  0.0640  0.08
Perahia 1994   60  0.4448  0.0059  0.0362  0.0351  0.0560  0.04
Perlemuter 1986   50  0.5317  0.0150  0.0650  0.0663  0.0451  0.05
Poblocka 1999   6  0.7046  0.007  0.136  0.5632  0.227  0.35
Rangell 2001   16  0.6757  0.0020  0.0925  0.3848  0.0726  0.16
Risler 1920   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rosen 1989   49  0.5313  0.0152  0.0457  0.0460  0.0461  0.04
Rubinstein 1939   57  0.4915  0.0157  0.0461  0.0446  0.0650  0.05
Rubinstein 1952   38  0.5836  0.0040  0.0841  0.0850  0.0546  0.06
Rubinstein 1966   46  0.5420  0.0142  0.0743  0.0736  0.0643  0.06
Rummel 1943   52  0.5234  0.0051  0.0649  0.0657  0.0456  0.05
Shebanova 2002   33  0.6225  0.0033  0.0940  0.0936  0.0838  0.08
Smith 1975   21  0.6619  0.0126  0.1023  0.4154  0.0528  0.14
Szpilman 1948   19  0.674  0.0517  0.0918  0.4429  0.1611  0.27
Uninsky 1971   37  0.5943  0.0036  0.1038  0.1051  0.0541  0.07
Wasowski 1980   43  0.5656  0.0047  0.0651  0.0662  0.0448  0.05
Weissenberg 1971   2  0.732  0.272  0.502  0.7220  0.451  0.57
Average   1  0.741  0.351  0.341  0.7845  0.0716  0.23
Random 1    65  0.0051  0.0065  0.0265  0.024  0.4833  0.10
Random 2   64  0.0361  0.0064  0.0364  0.0329  0.2339  0.08
Random 3   66  -0.0255  0.0066  0.0166  0.0117  0.3057  0.05

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).