Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   15  0.6947  0.0013  0.0813  0.4428  0.2220  0.31
Ax 1995   28  0.6536  0.0031  0.0631  0.1229  0.2133  0.16
Bacha 1998   50  0.6149  0.0050  0.0550  0.0524  0.2146  0.10
Barbosa 1983   42  0.6352  0.0048  0.0558  0.0537  0.0857  0.06
BenOr 1989   32  0.6423  0.0030  0.0729  0.1650  0.0647  0.10
Biret 1990   36  0.6437  0.0046  0.0460  0.0439  0.0958  0.06
Brailowsky 1960   45  0.6261  0.0040  0.0551  0.0528  0.3040  0.12
Chiu 1999   56  0.5639  0.0053  0.0552  0.0531  0.1450  0.08
Clidat 1994   47  0.6255  0.0052  0.0739  0.0737  0.0753  0.07
Cohen 1997   63  0.3666  0.0063  0.0548  0.0555  0.0563  0.05
Cortot 1951   59  0.5418  0.0060  0.0555  0.055  0.4336  0.15
Csalog 1996   34  0.6462  0.0049  0.0549  0.0530  0.1749  0.09
Czerny 1989   37  0.6442  0.0028  0.0830  0.1619  0.3923  0.25
Ezaki 2006   29  0.6528  0.0034  0.0740  0.0721  0.4528  0.18
Falvay 1989   23  0.6620  0.0021  0.0819  0.3739  0.0831  0.17
Fiorentino 1962   20  0.6741  0.0027  0.1020  0.3030  0.1824  0.23
Fliere 1977   11  0.7038  0.0014  0.0711  0.4822  0.3412  0.40
Fou 1978   24  0.6629  0.0023  0.0825  0.2638  0.0837  0.14
Francois 1956   38  0.6414  0.0038  0.0644  0.0611  0.4732  0.17
Goldenweiser 1946   54  0.5925  0.0051  0.0643  0.063  0.5729  0.18
Gornostaeva 1994   25  0.6633  0.0039  0.0645  0.0611  0.5330  0.18
Groot 1988   35  0.6422  0.0024  0.0827  0.2230  0.1927  0.20
Hatto 1993   8  0.7021  0.008  0.226  0.6229  0.2613  0.40
Hatto 1997   6  0.716  0.015  0.225  0.6623  0.326  0.46
Horszowski 1983   60  0.5158  0.0058  0.0553  0.0550  0.0560  0.05
Indjic 2001   10  0.707  0.017  0.157  0.6028  0.2810  0.41
Katin 1996   40  0.6335  0.0041  0.0554  0.0538  0.0952  0.07
Kiepura 1999   53  0.5951  0.0057  0.0738  0.0739  0.0751  0.07
Korecka 1992   48  0.6253  0.0054  0.0547  0.0517  0.3738  0.14
Kushner 1990   31  0.6444  0.0042  0.0559  0.0533  0.1548  0.09
Lilamand 2001   55  0.5811  0.0156  0.0642  0.0613  0.3835  0.15
Luisada 1990   21  0.6719  0.0020  0.0918  0.3920  0.439  0.41
Luisada 2008   30  0.6524  0.0032  0.0632  0.1224  0.3725  0.21
Lushtak 2004   13  0.6927  0.009  0.138  0.5918  0.434  0.50
Malcuzynski 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   1  0.831  0.791  0.781  0.891  0.861  0.87
Magaloff 1977   33  0.642  0.0310  0.0921  0.298  0.5314  0.39
Magin 1975   5  0.7117  0.0016  0.1015  0.4420  0.388  0.41
Meguri 1997   58  0.5413  0.0033  0.0737  0.0756  0.0556  0.06
Milkina 1970   27  0.6660  0.0019  0.0916  0.4027  0.3116  0.35
Mohovich 1999   41  0.6326  0.0036  0.0733  0.0722  0.2739  0.14
Nezu 2005   16  0.6812  0.0112  0.0814  0.4432  0.1522  0.26
Ohlsson 1999   14  0.694  0.0211  0.0817  0.4023  0.2917  0.34
Olejniczak 1990   39  0.6345  0.0037  0.0734  0.0749  0.0659  0.06
Osinska 1989   2  0.788  0.012  0.532  0.8111  0.512  0.64
Perlemuter 1992   57  0.5546  0.0059  0.0556  0.0519  0.2045  0.10
Poblocka 1999   12  0.7034  0.0017  0.1212  0.4429  0.2418  0.32
Rangell 2001   51  0.6150  0.0044  0.0463  0.0425  0.2944  0.11
Richter 1960   49  0.6159  0.0047  0.0462  0.0419  0.3043  0.11
Richter 1961   62  0.5054  0.0061  0.0646  0.0653  0.0561  0.05
Rosen 1989   26  0.6615  0.0018  0.0922  0.2817  0.4615  0.36
Rubinstein 1939   7  0.719  0.016  0.219  0.5420  0.435  0.48
Rubinstein 1952   3  0.7210  0.014  0.224  0.6813  0.513  0.59
Rubinstein 1966   17  0.6843  0.0015  0.0910  0.5130  0.1919  0.31
Rudanovskaya 2007   61  0.5056  0.0062  0.0736  0.0760  0.0462  0.05
Shebanova 2002   22  0.6740  0.0025  0.0924  0.2729  0.1726  0.21
Smith 1975   46  0.625  0.0122  0.0828  0.2016  0.4621  0.30
Sztompka 1959   43  0.6316  0.0043  0.0557  0.0519  0.4634  0.15
Tanyel 1992   18  0.6830  0.0035  0.0735  0.0727  0.2241  0.12
Tsujii 2005   4  0.723  0.023  0.203  0.6925  0.277  0.43
Uninsky 1959   19  0.6731  0.0029  0.0726  0.2246  0.0642  0.11
Vardi 1988   52  0.6057  0.0055  0.0641  0.0643  0.0655  0.06
Wasowski 1980   9  0.7032  0.0026  0.0823  0.2811  0.5611  0.40
Zimerman 1975   44  0.6248  0.0045  0.0461  0.0454  0.0664  0.05
Random 1   66  -0.0363  0.0065  0.0265  0.0217  0.2454  0.07
Random 2   65  -0.0264  0.0066  0.0166  0.0138  0.0666  0.02
Random 3   64  0.0065  0.0064  0.0264  0.0234  0.0565  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).