Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   51  0.509  0.0333  0.0633  0.1148  0.0535  0.07
Ax 1995   28  0.6248  0.0034  0.0642  0.0657  0.0452  0.05
Bacha 1998   56  0.4744  0.0049  0.0548  0.0546  0.0547  0.05
Barbosa 1983   60  0.4427  0.0044  0.0740  0.0754  0.0538  0.06
BenOr 1989   40  0.5422  0.0118  0.1022  0.2344  0.0619  0.12
Biret 1990   31  0.6167  0.0028  0.0627  0.1960  0.0429  0.09
Brailowsky 1960   57  0.4754  0.0056  0.0363  0.0356  0.0465  0.03
Chiu 1999   58  0.4737  0.0058  0.0459  0.0452  0.0556  0.04
Clidat 1994   55  0.4846  0.0061  0.0457  0.0454  0.0561  0.04
Cohen 1997   64  0.3863  0.0063  0.0362  0.0351  0.0562  0.04
Cortot 1951   59  0.4445  0.0045  0.0735  0.0739  0.0541  0.06
Csalog 1996   15  0.6618  0.0113  0.098  0.4554  0.056  0.15
Czerny 1989   5  0.705  0.0612  0.1014  0.3951  0.059  0.14
Ezaki 2006   35  0.6060  0.0046  0.0934  0.0939  0.0633  0.07
Falvay 1989   23  0.6413  0.0142  0.0641  0.0644  0.0636  0.06
Fiorentino 1962   54  0.5061  0.0060  0.0364  0.0352  0.0663  0.04
Fliere 1977   42  0.5338  0.0052  0.0551  0.0545  0.0544  0.05
Fou 1978   44  0.5340  0.0037  0.0552  0.0557  0.0546  0.05
Francois 1956   50  0.517  0.0319  0.0731  0.1552  0.0530  0.09
Goldenweiser 1946   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Gornostaeva 1994   63  0.3947  0.0055  0.0554  0.0545  0.0653  0.05
Groot 1988   7  0.6835  0.0016  0.0812  0.4054  0.0514  0.14
Hatto 1993   20  0.6549  0.0030  0.0726  0.1963  0.0332  0.08
Hatto 1997   17  0.6614  0.0126  0.0620  0.2661  0.0423  0.10
Horszowski 1983   10  0.6726  0.0011  0.1015  0.3717  0.234  0.29
Indjic 2001   18  0.658  0.0327  0.0625  0.2164  0.0427  0.09
Katin 1996   48  0.5259  0.0057  0.0361  0.0363  0.0466  0.03
Kiepura 1999   61  0.4043  0.0053  0.0556  0.0542  0.0542  0.05
Korecka 1992   22  0.6536  0.0022  0.0621  0.2438  0.0617  0.12
Kushner 1990   47  0.5357  0.0014  0.0818  0.3153  0.0421  0.11
Lilamand 2001   1  0.761  0.331  0.331  0.666  0.531  0.59
Luisada 1990   6  0.694  0.063  0.153  0.4963  0.0413  0.14
Luisada 2008   33  0.6051  0.0025  0.0628  0.1848  0.0525  0.09
Lushtak 2004   36  0.5962  0.0029  0.0729  0.1764  0.0334  0.07
Malcuzynski 1951   32  0.6111  0.024  0.1611  0.4154  0.0515  0.14
Malcuzynski 1961   37  0.5612  0.019  0.1013  0.3954  0.0511  0.14
Magaloff 1977   46  0.5324  0.0047  0.0738  0.0759  0.0540  0.06
Magin 1975   11  0.6725  0.0017  0.0917  0.3360  0.0420  0.11
Meguri 1997   13  0.663  0.0810  0.1010  0.4225  0.175  0.27
Milkina 1970   34  0.6039  0.0039  0.0739  0.0746  0.0537  0.06
Mohovich 1999   19  0.6516  0.0131  0.0730  0.1748  0.0528  0.09
Nezu 2005   41  0.5442  0.0035  0.0547  0.0548  0.0651  0.05
Ohlsson 1999   25  0.6429  0.0036  0.0549  0.0564  0.0358  0.04
Olejniczak 1990   16  0.666  0.047  0.149  0.4442  0.058  0.15
Osinska 1989   14  0.6656  0.0023  0.0916  0.3459  0.0416  0.12
Perlemuter 1992   3  0.7215  0.015  0.135  0.4622  0.263  0.35
Poblocka 1999   30  0.6153  0.0041  0.0736  0.0762  0.0445  0.05
Rangell 2001   27  0.6334  0.0032  0.0632  0.1246  0.0531  0.08
Richter 1960   53  0.5028  0.0062  0.0553  0.0560  0.0460  0.04
Richter 1961   62  0.4032  0.0064  0.0555  0.0563  0.0355  0.04
Rosen 1989   29  0.6219  0.0121  0.0623  0.2144  0.0524  0.10
Rubinstein 1939   43  0.5333  0.0048  0.0550  0.0562  0.0457  0.04
Rubinstein 1952   39  0.5417  0.0143  0.0643  0.0660  0.0454  0.05
Rubinstein 1966   49  0.5152  0.0054  0.0458  0.0464  0.0459  0.04
Rudanovskaya 2007   26  0.6431  0.0051  0.0645  0.0641  0.0550  0.05
Shebanova 2002   24  0.6423  0.0138  0.0644  0.0646  0.0639  0.06
Smith 1975   21  0.6541  0.0020  0.0519  0.2757  0.0422  0.10
Sztompka 1959   2  0.752  0.112  0.212  0.5416  0.442  0.49
Tanyel 1992   9  0.6810  0.026  0.127  0.4643  0.057  0.15
Tsujii 2005   12  0.6621  0.0124  0.0724  0.2164  0.0426  0.09
Uninsky 1959   4  0.7120  0.018  0.104  0.4853  0.0410  0.14
Vardi 1988   45  0.5350  0.0050  0.0646  0.0658  0.0448  0.05
Wasowski 1980   38  0.5565  0.0040  0.0737  0.0759  0.0443  0.05
Zimerman 1975   52  0.5066  0.0059  0.0360  0.0351  0.0564  0.04
Average   8  0.6830  0.0015  0.076  0.4660  0.0412  0.14
Random 1   67  -0.0958  0.0067  0.0167  0.0135  0.0567  0.02
Random 2   66  -0.0564  0.0066  0.0266  0.0233  0.1449  0.05
Random 3   65  0.0455  0.0065  0.0365  0.034  0.4918  0.12

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).