Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   47  0.6723  0.0119  0.0817  0.4434  0.0622  0.16
Ax 1995   60  0.5752  0.0060  0.0558  0.0543  0.0556  0.05
Bacha 1998   41  0.6813  0.0131  0.0631  0.1948  0.0533  0.10
Barbosa 1983   62  0.5261  0.0043  0.0560  0.0551  0.0651  0.05
BenOr 1989   40  0.6858  0.0036  0.0647  0.0648  0.0642  0.06
Biret 1990   22  0.7325  0.0132  0.0733  0.1657  0.0437  0.08
Brailowsky 1960   34  0.6946  0.0030  0.1029  0.2532  0.1414  0.19
Chiu 1999   11  0.7634  0.0029  0.0927  0.3024  0.1912  0.24
Clidat 1994   46  0.6718  0.0111  0.1118  0.4330  0.316  0.37
Cohen 1997   63  0.5251  0.0062  0.0462  0.0449  0.0563  0.04
Cortot 1951   55  0.6059  0.0059  0.0644  0.0660  0.0458  0.05
Csalog 1996   2  0.811  0.441  0.431  0.763  0.581  0.66
Czerny 1989   53  0.6263  0.0049  0.0642  0.0664  0.0448  0.05
Ezaki 2006   38  0.6953  0.0047  0.0561  0.0548  0.0644  0.05
Falvay 1989   6  0.7830  0.0010  0.119  0.5349  0.0519  0.16
Fiorentino 1962   27  0.7160  0.0054  0.0641  0.0657  0.0455  0.05
Fliere 1977   18  0.7354  0.0037  0.0556  0.0551  0.0545  0.05
Fou 1978   50  0.6456  0.0046  0.0555  0.0559  0.0459  0.04
Francois 1956   49  0.6420  0.0156  0.0834  0.0834  0.0938  0.08
Goldenweiser 1946   52  0.6326  0.0122  0.0819  0.4347  0.0523  0.15
Gornostaeva 1994   54  0.6265  0.0050  0.0557  0.0561  0.0365  0.04
Groot 1988   3  0.8029  0.006  0.233  0.6227  0.197  0.34
Hatto 1993   17  0.7344  0.0025  0.1023  0.3849  0.0528  0.14
Hatto 1997   25  0.7339  0.0012  0.1215  0.4447  0.0621  0.16
Horszowski 1983   51  0.6415  0.0123  0.0728  0.2836  0.0725  0.14
Indjic 2001   23  0.7341  0.0024  0.0726  0.3654  0.0530  0.13
Katin 1996   10  0.7649  0.0018  0.0721  0.4146  0.0620  0.16
Kiepura 1999   64  0.4667  0.0064  0.0364  0.0362  0.0466  0.03
Korecka 1992   57  0.5966  0.0061  0.0559  0.0564  0.0360  0.04
Kushner 1990   58  0.5916  0.0133  0.0932  0.1750  0.0434  0.08
Lilamand 2001   48  0.6619  0.0135  0.0554  0.0522  0.2731  0.12
Luisada 1990   19  0.7331  0.0027  0.1125  0.3656  0.0432  0.12
Luisada 2008   35  0.6962  0.0038  0.0646  0.0652  0.0552  0.05
Lushtak 2004   29  0.7048  0.0042  0.0740  0.0745  0.0541  0.06
Malcuzynski 1951   59  0.577  0.0121  0.0724  0.3618  0.268  0.31
Malcuzynski 1961   43  0.6840  0.007  0.1811  0.4950  0.0616  0.17
Magaloff 1977   4  0.796  0.028  0.186  0.5811  0.472  0.52
Magin 1975   33  0.7014  0.0134  0.0736  0.0762  0.0447  0.05
Meguri 1997   20  0.7335  0.0045  0.0553  0.0535  0.0939  0.07
Milkina 1970   32  0.7055  0.0040  0.0552  0.0542  0.0649  0.05
Mohovich 1999   28  0.7143  0.0041  0.0739  0.0754  0.0454  0.05
Nezu 2005   9  0.7611  0.0114  0.0910  0.5030  0.169  0.28
Ohlsson 1999   7  0.774  0.034  0.187  0.5727  0.245  0.37
Olejniczak 1990   24  0.7357  0.0044  0.0735  0.0751  0.0543  0.06
Osinska 1989   26  0.7245  0.0039  0.0643  0.0659  0.0446  0.05
Perlemuter 1992   37  0.6912  0.0148  0.0650  0.069  0.3526  0.14
Poblocka 1999   15  0.748  0.0120  0.0816  0.4454  0.0524  0.15
Rangell 2001   42  0.6836  0.0055  0.0649  0.0651  0.0557  0.05
Richter 1960   39  0.6927  0.0151  0.0737  0.0748  0.0540  0.06
Richter 1961   61  0.5637  0.0063  0.0463  0.0463  0.0367  0.03
Rosen 1989   8  0.7610  0.0116  0.0814  0.4530  0.1810  0.28
Rubinstein 1939   31  0.7022  0.0115  0.1020  0.4257  0.0527  0.14
Rubinstein 1952   30  0.703  0.063  0.225  0.5923  0.254  0.38
Rubinstein 1966   16  0.7450  0.0013  0.1412  0.4743  0.0617  0.17
Rudanovskaya 2007   21  0.7317  0.0152  0.0645  0.0633  0.1135  0.08
Shebanova 2002   13  0.7521  0.015  0.154  0.6025  0.293  0.42
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   14  0.7528  0.0028  0.1030  0.2224  0.2413  0.23
Tanyel 1992   45  0.6764  0.0053  0.0648  0.0653  0.0553  0.05
Tsujii 2005   5  0.785  0.0317  0.1213  0.4555  0.0429  0.13
Uninsky 1959   12  0.769  0.019  0.178  0.5433  0.1411  0.27
Vardi 1988   56  0.6024  0.0157  0.0738  0.0762  0.0450  0.05
Wasowski 1980   36  0.6932  0.0026  0.1022  0.3839  0.0718  0.16
Zimerman 1975   44  0.6733  0.0058  0.0551  0.0564  0.0364  0.04
Average   1  0.842  0.212  0.422  0.7456  0.0515  0.19
Random 1   67  0.0038  0.0066  0.0266  0.0214  0.2936  0.08
Random 2   66  0.0447  0.0067  0.0167  0.0128  0.2061  0.04
Random 3   65  0.0542  0.0065  0.0365  0.0341  0.0562  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).