Smith 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   44  0.5228  0.0046  0.0943  0.0935  0.0853  0.08
Ax 1995   3  0.715  0.063  0.243  0.7711  0.662  0.71
Bacha 1998   39  0.5454  0.0041  0.0940  0.0911  0.5228  0.22
Barbosa 1983   43  0.5234  0.0045  0.0850  0.0840  0.0755  0.07
BenOr 1989   33  0.5650  0.0037  0.0845  0.0837  0.1151  0.09
Biret 1990   38  0.5422  0.0036  0.0752  0.0739  0.1054  0.08
Brailowsky 1960   6  0.6711  0.016  0.288  0.669  0.604  0.63
Chiu 1999   58  0.3763  0.0058  0.0561  0.0550  0.0557  0.05
Clidat 1994   52  0.4452  0.0050  0.0849  0.0860  0.0456  0.06
Cohen 1997   64  0.2320  0.0064  0.0558  0.0548  0.0561  0.05
Cortot 1951   61  0.3439  0.0061  0.0654  0.0625  0.3143  0.14
Csalog 1996   34  0.5659  0.0039  0.0847  0.0820  0.4431  0.19
Czerny 1989   40  0.5413  0.0124  0.0829  0.2627  0.3318  0.29
Ezaki 2006   14  0.6210  0.0114  0.1419  0.3917  0.4612  0.42
Falvay 1989   4  0.7014  0.014  0.294  0.7617  0.525  0.63
Fiorentino 1962   2  0.722  0.142  0.412  0.787  0.691  0.73
Fliere 1977   46  0.5029  0.0032  0.0832  0.1733  0.1338  0.15
Fou 1978   28  0.5831  0.0029  0.1128  0.2740  0.0740  0.14
Francois 1956   31  0.5725  0.0033  0.0733  0.1514  0.4027  0.24
Goldenweiser 1946   50  0.4723  0.0048  0.1135  0.1113  0.5124  0.24
Gornostaeva 1994   51  0.4635  0.0052  0.1434  0.1425  0.2136  0.17
Groot 1988   24  0.5921  0.0018  0.0921  0.3822  0.3716  0.37
Hatto 1993   17  0.6119  0.0022  0.0924  0.3431  0.2023  0.26
Hatto 1997   23  0.5941  0.0030  0.0930  0.2437  0.0841  0.14
Horszowski 1983   60  0.3553  0.0055  0.0560  0.058  0.4537  0.15
Indjic 2001   20  0.6045  0.0021  0.0818  0.3932  0.1722  0.26
Katin 1996   10  0.653  0.117  0.2111  0.6316  0.487  0.55
Kiepura 1999   26  0.5955  0.0027  0.1023  0.3620  0.3815  0.37
Korecka 1992   48  0.4860  0.0049  0.1038  0.1028  0.2835  0.17
Kushner 1990   36  0.5632  0.0040  0.0751  0.0734  0.1448  0.10
Lilamand 2001   53  0.4048  0.0057  0.0562  0.0517  0.3645  0.13
Luisada 1990   29  0.5865  0.0035  0.0848  0.0831  0.2342  0.14
Luisada 2008   42  0.5318  0.0044  0.0944  0.0935  0.1249  0.10
Lushtak 2004   27  0.5840  0.0028  0.0825  0.3334  0.1033  0.18
Malcuzynski 1951   9  0.6515  0.0111  0.2810  0.6622  0.3610  0.49
Malcuzynski 1961   11  0.659  0.019  0.209  0.6625  0.369  0.49
Magaloff 1977   45  0.5117  0.0147  0.1036  0.109  0.5926  0.24
Magin 1975   22  0.5938  0.0031  0.0831  0.1825  0.3225  0.24
Meguri 1997   54  0.3942  0.0053  0.0557  0.0552  0.0463  0.04
Milkina 1970   19  0.6137  0.0016  0.1212  0.4834  0.1421  0.26
Mohovich 1999   47  0.4936  0.0042  0.1037  0.1049  0.0652  0.08
Nezu 2005   35  0.5627  0.0038  0.0846  0.0839  0.1050  0.09
Ohlsson 1999   12  0.644  0.0612  0.2514  0.4222  0.3913  0.40
Olejniczak 1990   25  0.5961  0.0026  0.0826  0.2849  0.0744  0.14
Osinska 1989   18  0.6157  0.0020  0.1116  0.4033  0.1920  0.28
Perlemuter 1992   55  0.3951  0.0054  0.0564  0.0521  0.2646  0.11
Poblocka 1999   32  0.5730  0.0034  0.0942  0.0930  0.2639  0.15
Rangell 2001   57  0.3824  0.0059  0.0559  0.0559  0.0464  0.04
Richter 1960   62  0.2756  0.0063  0.0656  0.0645  0.0558  0.05
Richter 1961   63  0.2466  0.0062  0.0563  0.0564  0.0462  0.04
Rosen 1989   16  0.6147  0.0025  0.0827  0.2718  0.4317  0.34
Rubinstein 1939   30  0.577  0.0413  0.1515  0.4119  0.5011  0.45
Rubinstein 1952   5  0.676  0.055  0.275  0.756  0.663  0.70
Rubinstein 1966   8  0.6626  0.0010  0.186  0.6812  0.536  0.60
Rudanovskaya 2007   59  0.3543  0.0060  0.0653  0.0653  0.0560  0.05
Shebanova 2002   56  0.3949  0.0056  0.0655  0.0647  0.0459  0.05
Smith 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Sztompka 1959   41  0.5316  0.0143  0.0941  0.0914  0.5429  0.22
Tanyel 1992   13  0.6233  0.0019  0.1113  0.4645  0.0734  0.18
Tsujii 2005   7  0.678  0.028  0.197  0.6717  0.458  0.55
Uninsky 1959   15  0.6112  0.0117  0.1117  0.4041  0.0832  0.18
Vardi 1988   37  0.5546  0.0015  0.1222  0.3632  0.2419  0.29
Wasowski 1980   49  0.4744  0.0051  0.1039  0.1035  0.1047  0.10
Zimerman 1975   21  0.6067  0.0023  0.0820  0.3832  0.1330  0.22
Average   1  0.741  0.391  0.391  0.8333  0.1814  0.39
Random 1   66  -0.0464  0.0066  0.0266  0.0240  0.0565  0.03
Random 2   67  -0.1062  0.0067  0.0167  0.0161  0.0367  0.02
Random 3   65  -0.0158  0.0065  0.0265  0.0248  0.0466  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).