Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   35  0.6138  0.0033  0.0933  0.1754  0.0642  0.10
Ax 1995   6  0.7216  0.017  0.254  0.6936  0.1112  0.28
Bacha 1998   39  0.5949  0.0046  0.0743  0.0757  0.0551  0.06
Barbosa 1983   57  0.5144  0.0050  0.0840  0.0863  0.0454  0.06
BenOr 1989   44  0.5833  0.0026  0.0929  0.2243  0.0736  0.12
Biret 1990   37  0.6065  0.0038  0.0654  0.0638  0.0848  0.07
Brailowsky 1960   10  0.696  0.028  0.239  0.5614  0.534  0.54
Chiu 1999   56  0.5266  0.0059  0.0651  0.0643  0.0649  0.06
Clidat 1994   45  0.5761  0.0049  0.0836  0.0862  0.0556  0.06
Cohen 1997   60  0.4932  0.0062  0.0655  0.0630  0.1938  0.11
Cortot 1951   62  0.4236  0.0060  0.0464  0.0414  0.4435  0.13
Csalog 1996   8  0.7055  0.0016  0.0814  0.4612  0.436  0.44
Czerny 1989   41  0.5812  0.0140  0.0745  0.0745  0.0552  0.06
Ezaki 2006   12  0.6815  0.0112  0.1018  0.4234  0.1117  0.21
Falvay 1989   7  0.7110  0.016  0.346  0.6632  0.1411  0.30
Fiorentino 1962   5  0.734  0.073  0.272  0.7514  0.591  0.67
Fliere 1977   34  0.6125  0.0034  0.0838  0.0845  0.0644  0.07
Fou 1978   38  0.5940  0.0043  0.0562  0.0547  0.0750  0.06
Francois 1956   15  0.6724  0.0010  0.1119  0.4212  0.505  0.46
Goldenweiser 1946   54  0.5518  0.0037  0.0650  0.063  0.6819  0.20
Gornostaeva 1994   61  0.4550  0.0057  0.0559  0.0545  0.0661  0.05
Groot 1988   20  0.6630  0.0022  0.1120  0.4150  0.0627  0.16
Hatto 1993   17  0.6741  0.0017  0.1015  0.4550  0.0628  0.16
Hatto 1997   21  0.6645  0.0019  0.0923  0.3540  0.0724  0.16
Horszowski 1983   59  0.4943  0.0061  0.0561  0.0537  0.0658  0.05
Indjic 2001   18  0.6739  0.0018  0.1517  0.4255  0.0626  0.16
Katin 1996   22  0.6611  0.0125  0.1421  0.3834  0.1218  0.21
Kiepura 1999   53  0.5535  0.0041  0.0647  0.0631  0.1739  0.10
Korecka 1992   55  0.5464  0.0052  0.0746  0.0727  0.3230  0.15
Kushner 1990   49  0.5746  0.0048  0.0837  0.0840  0.0843  0.08
Lilamand 2001   31  0.6228  0.0042  0.0560  0.055  0.5023  0.16
Luisada 1990   33  0.6153  0.0030  0.0831  0.2025  0.3113  0.25
Luisada 2008   42  0.5820  0.0044  0.0653  0.0629  0.2137  0.11
Lushtak 2004   25  0.6447  0.0021  0.1024  0.3547  0.0725  0.16
Malcuzynski 1951   16  0.675  0.049  0.188  0.5650  0.0620  0.18
Malcuzynski 1961   28  0.6314  0.0111  0.1113  0.4749  0.0531  0.15
Magaloff 1977   48  0.5729  0.0047  0.0744  0.0733  0.1541  0.10
Magin 1975   26  0.6423  0.0031  0.0730  0.2033  0.1229  0.15
Meguri 1997   50  0.5742  0.0055  0.0841  0.0848  0.0553  0.06
Milkina 1970   11  0.6821  0.0015  0.0911  0.5138  0.1014  0.23
Mohovich 1999   30  0.6337  0.0028  0.1027  0.2636  0.0833  0.14
Nezu 2005   43  0.5817  0.0045  0.0839  0.0847  0.0746  0.07
Ohlsson 1999   1  0.762  0.222  0.327  0.6312  0.512  0.57
Olejniczak 1990   40  0.5957  0.0039  0.0649  0.0653  0.0657  0.06
Osinska 1989   24  0.6451  0.0020  0.0916  0.4452  0.0621  0.16
Perlemuter 1992   47  0.5758  0.0053  0.0558  0.055  0.3932  0.14
Poblocka 1999   27  0.6426  0.0032  0.0732  0.1751  0.0640  0.10
Rangell 2001   52  0.5627  0.0056  0.0742  0.0757  0.0462  0.05
Richter 1960   63  0.4154  0.0064  0.0656  0.0656  0.0459  0.05
Richter 1961   64  0.4060  0.0063  0.0463  0.0449  0.0564  0.04
Rosen 1989   14  0.6713  0.0124  0.1122  0.3723  0.3010  0.33
Rubinstein 1939   29  0.638  0.0127  0.0926  0.3237  0.0822  0.16
Rubinstein 1952   19  0.663  0.0913  0.1012  0.5127  0.288  0.38
Rubinstein 1966   23  0.6522  0.0029  0.0828  0.2441  0.0734  0.13
Rudanovskaya 2007   51  0.5731  0.0054  0.0652  0.0655  0.0560  0.05
Shebanova 2002   46  0.5752  0.0051  0.0648  0.0648  0.0655  0.06
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   13  0.6734  0.0023  0.1025  0.349  0.557  0.43
Tanyel 1992   9  0.6919  0.0014  0.0910  0.5232  0.229  0.34
Tsujii 2005   4  0.737  0.025  0.193  0.7040  0.0716  0.22
Uninsky 1959   3  0.749  0.014  0.165  0.6814  0.443  0.55
Vardi 1988   36  0.6059  0.0035  0.0934  0.0947  0.0645  0.07
Wasowski 1980   58  0.5048  0.0058  0.0557  0.0561  0.0463  0.04
Zimerman 1975   32  0.6267  0.0036  0.0935  0.0945  0.0647  0.07
Average   2  0.761  0.381  0.381  0.7952  0.0615  0.22
Random 1   67  -0.0862  0.0067  0.0167  0.0159  0.0366  0.02
Random 2   66  -0.0656  0.0065  0.0265  0.0247  0.0565  0.03
Random 3   65  -0.0663  0.0066  0.0266  0.0256  0.0367  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).