Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   52  0.6520  0.0048  0.0553  0.0557  0.0463  0.04
Ashkenazy 1981   4  0.773  0.034  0.344  0.737  0.633  0.68
Beliavsky 2004   57  0.6148  0.0059  0.0546  0.0557  0.0461  0.04
BenOr 1989   6  0.7513  0.007  0.198  0.5926  0.2813  0.41
Biret 1990   7  0.739  0.006  0.156  0.6314  0.556  0.59
Blet 2003   44  0.666  0.0023  0.1224  0.3017  0.3620  0.33
Block 1995   46  0.667  0.0038  0.0548  0.0536  0.0855  0.06
Brailowsky 1960   50  0.6526  0.0045  0.0552  0.0511  0.5430  0.16
Chiu 1999   49  0.6658  0.0050  0.0539  0.0552  0.0656  0.05
Clidat 1994   31  0.6911  0.0032  0.0632  0.1227  0.1238  0.12
Cohen 1997   59  0.5918  0.0058  0.0462  0.047  0.5434  0.15
Coop 1987   19  0.7155  0.0020  0.0918  0.4439  0.0928  0.20
Cortot 1951   55  0.6344  0.0057  0.0540  0.0520  0.3936  0.14
Czerny 1949   37  0.6822  0.0031  0.0631  0.1339  0.0942  0.11
Czerny 1949b   24  0.7029  0.0026  0.0929  0.2129  0.2523  0.23
Ezaki 2006   17  0.7119  0.0024  0.1420  0.4237  0.1026  0.20
Falvay 1989   47  0.6660  0.0051  0.0455  0.0449  0.0757  0.05
Ferenczy 1958   56  0.6227  0.0055  0.0734  0.0719  0.4229  0.17
Fiorentino 1962   16  0.7154  0.0017  0.1314  0.5027  0.2816  0.37
Fliere 1977   10  0.7324  0.0011  0.1416  0.4836  0.0827  0.20
Fou 1978   9  0.7314  0.009  0.135  0.6425  0.369  0.48
Francois 1956   62  0.5451  0.0062  0.0463  0.0449  0.0564  0.04
Hatto 1997   48  0.6666  0.0052  0.0459  0.0440  0.0758  0.05
Horowitz 1971   42  0.6737  0.0036  0.0541  0.0513  0.5032  0.16
Horowitz 1985   61  0.5731  0.0061  0.0637  0.0622  0.2937  0.13
Indjic 2001   41  0.6743  0.0043  0.0458  0.0432  0.1449  0.07
Kapell 1951   15  0.7138  0.0016  0.1317  0.4729  0.2717  0.36
Kiepura 1999   33  0.6852  0.0047  0.0554  0.0530  0.2144  0.10
Kilenyi 1937   30  0.6921  0.0028  0.0627  0.2237  0.1131  0.16
Kissin 1993   8  0.7341  0.008  0.1410  0.5738  0.0825  0.21
Kitain 1937   63  0.4849  0.0063  0.0638  0.0625  0.2540  0.12
Kushner 1990   22  0.708  0.0019  0.0922  0.4012  0.5410  0.46
Levy 1951   51  0.6536  0.0046  0.0547  0.0536  0.0753  0.06
Luisada 1990   13  0.7210  0.0021  0.1021  0.4124  0.4511  0.43
Lushtak 2004   34  0.6825  0.0035  0.0833  0.0831  0.1443  0.11
Lympany 1968   43  0.6716  0.0025  0.0925  0.2311  0.4819  0.33
Magaloff 1977   23  0.7040  0.0037  0.0545  0.0546  0.0754  0.06
Magaloff 1977b   28  0.6945  0.0041  0.0456  0.0442  0.0760  0.05
Magin 1975   29  0.6915  0.0042  0.0542  0.0539  0.0947  0.07
Milkina 1970   5  0.7517  0.005  0.167  0.609  0.645  0.62
Mohovich 1999   11  0.7334  0.0012  0.1112  0.5317  0.538  0.53
Nadelmann 1956   36  0.6842  0.0022  0.1223  0.3510  0.4215  0.38
Ohlsson 1999   26  0.6923  0.0039  0.0549  0.0531  0.2145  0.10
Olejniczac 1990   14  0.7212  0.0014  0.1111  0.5330  0.3412  0.42
Olejniczak 1991   21  0.7163  0.0018  0.1115  0.4932  0.2021  0.31
Osinska 1989   3  0.795  0.013  0.463  0.7914  0.524  0.64
Paderewski 1912   39  0.6859  0.0034  0.0735  0.0719  0.3333  0.15
Perahia 1994   58  0.6161  0.0053  0.0460  0.0420  0.3439  0.12
Perlemuter 1986   53  0.6432  0.0054  0.0543  0.0528  0.2146  0.10
Poblocka 1999   20  0.7146  0.0029  0.0826  0.2356  0.0541  0.11
Rangell 2001   38  0.6857  0.0033  0.0636  0.0638  0.0850  0.07
Risler 1920   60  0.5862  0.0060  0.0550  0.0541  0.0852  0.06
Rosen 1989   27  0.6939  0.0027  0.0830  0.162  0.7218  0.34
Rubinstein 1939   12  0.724  0.0110  0.159  0.593  0.792  0.68
Rubinstein 1952   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1966   2  0.832  0.262  0.692  0.892  0.911  0.90
Rummel 1943   45  0.6650  0.0044  0.0457  0.047  0.4835  0.14
Shebanova 2002   40  0.6730  0.0049  0.0544  0.0554  0.0659  0.05
Smith 1975   18  0.7135  0.0013  0.1513  0.5223  0.3014  0.39
Szpilman 1948   35  0.6833  0.0030  0.0928  0.2127  0.2622  0.23
Uninsky 1971   54  0.6328  0.0056  0.0461  0.0458  0.0462  0.04
Wasowski 1980   32  0.6953  0.0040  0.0551  0.0539  0.0751  0.06
Weissenberg 1971   25  0.7047  0.0015  0.1019  0.4234  0.1224  0.22
Average   1  0.841  0.631  0.631  0.9226  0.327  0.54
Random 1    65  -0.0156  0.0065  0.0265  0.0235  0.0565  0.03
Random 2   64  0.0364  0.0064  0.0364  0.0332  0.1848  0.07
Random 3   66  -0.0365  0.0066  0.0166  0.0139  0.0466  0.02

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).