Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   4  0.8632  0.004  0.152  0.654  0.624  0.63
Ax 1995   17  0.8421  0.0012  0.1020  0.402  0.6117  0.49
Bacha 1998   44  0.7659  0.0045  0.0934  0.0912  0.5034  0.21
Barbosa 1983   56  0.7151  0.0047  0.0645  0.0626  0.2950  0.13
BenOr 1989   55  0.7220  0.0036  0.0549  0.0519  0.3153  0.12
Biret 1990   14  0.8418  0.0019  0.1117  0.413  0.6116  0.50
Brailowsky 1960   43  0.7645  0.0048  0.0558  0.0520  0.3348  0.13
Chiu 1999   60  0.6863  0.0059  0.0462  0.0457  0.0565  0.04
Clidat 1994   25  0.8143  0.0028  0.0825  0.2716  0.4727  0.36
Cohen 1997   64  0.6231  0.0064  0.0646  0.0611  0.5141  0.17
Cortot 1951   63  0.6450  0.0061  0.0363  0.035  0.5154  0.12
Csalog 1996   32  0.8038  0.0046  0.0556  0.0514  0.4147  0.14
Czerny 1989   39  0.786  0.0140  0.0738  0.074  0.5635  0.20
Ezaki 2006   20  0.8325  0.0032  0.0731  0.143  0.6130  0.29
Falvay 1989   16  0.843  0.023  0.154  0.596  0.596  0.59
Fiorentino 1962   8  0.8512  0.0114  0.099  0.493  0.708  0.59
Fliere 1977   9  0.8458  0.0017  0.1221  0.398  0.5219  0.45
Fou 1978   48  0.7448  0.0042  0.0736  0.0726  0.2349  0.13
Francois 1956   58  0.6964  0.0058  0.0552  0.0527  0.2359  0.11
Goldenweiser 1946   61  0.6653  0.0063  0.0459  0.0416  0.3451  0.12
Gornostaeva 1994   50  0.7347  0.0050  0.0554  0.0514  0.4744  0.15
Groot 1988   42  0.7657  0.0039  0.0642  0.0625  0.2058  0.11
Hatto 1993   19  0.8310  0.0111  0.1210  0.4911  0.4718  0.48
Hatto 1997   23  0.8216  0.0020  0.0913  0.4412  0.4621  0.45
Horszowski 1983   51  0.7362  0.0049  0.0555  0.053  0.4843  0.15
Indjic 2001   22  0.8213  0.0121  0.1319  0.4113  0.4422  0.42
Katin 1996   29  0.8024  0.0026  0.0632  0.1328  0.3733  0.22
Kiepura 1999   57  0.6960  0.0052  0.0740  0.0710  0.5136  0.19
Korecka 1992   35  0.7927  0.0051  0.0551  0.058  0.6239  0.18
Kushner 1990   46  0.7528  0.0029  0.0830  0.206  0.5229  0.32
Lilamand 2001   59  0.6949  0.0062  0.0461  0.0435  0.1261  0.07
Luisada 1990   33  0.8035  0.0022  0.0728  0.255  0.6524  0.40
Luisada 2008   41  0.7755  0.0038  0.0548  0.0513  0.5840  0.17
Lushtak 2004   13  0.844  0.015  0.137  0.553  0.762  0.65
Malcuzynski 1951   15  0.8423  0.007  0.1814  0.433  0.6511  0.53
Malcuzynski 1961   6  0.855  0.016  0.138  0.513  0.687  0.59
Magaloff 1977   54  0.7346  0.0054  0.0643  0.0630  0.2057  0.11
Magin 1975   10  0.8419  0.0025  0.0822  0.3510  0.5720  0.45
Meguri 1997   62  0.6539  0.0035  0.0550  0.0518  0.2656  0.11
Milkina 1970   27  0.8114  0.0024  0.0724  0.2914  0.5325  0.39
Mohovich 1999   7  0.852  0.032  0.2111  0.472  0.6110  0.54
Nezu 2005   11  0.849  0.0110  0.103  0.633  0.683  0.65
Ohlsson 1999   40  0.7722  0.0053  0.0739  0.0756  0.0464  0.05
Olejniczak 1990   12  0.8434  0.0016  0.1015  0.433  0.6114  0.51
Osinska 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1992   52  0.7361  0.0057  0.0460  0.0429  0.1660  0.08
Poblocka 1999   3  0.8641  0.008  0.176  0.554  0.665  0.60
Rangell 2001   24  0.8211  0.0131  0.1127  0.264  0.6823  0.42
Richter 1960   26  0.8140  0.0015  0.0916  0.426  0.6213  0.51
Richter 1961   47  0.7437  0.0027  0.0829  0.208  0.5528  0.33
Rosen 1989   36  0.7915  0.0033  0.0733  0.139  0.4632  0.24
Rubinstein 1939   31  0.8044  0.0030  0.1126  0.2721  0.2831  0.27
Rubinstein 1952   38  0.7852  0.0034  0.0835  0.0826  0.3642  0.17
Rubinstein 1966   21  0.8229  0.0023  0.0623  0.3419  0.4226  0.38
Rudanovskaya 2007   53  0.7330  0.0060  0.0364  0.0330  0.1363  0.06
Shebanova 2002   30  0.8056  0.0037  0.0553  0.0526  0.2852  0.12
Smith 1975   49  0.7354  0.0056  0.0644  0.0625  0.2055  0.11
Sztompka 1959   45  0.7636  0.0055  0.0557  0.0519  0.3946  0.14
Tanyel 1992   5  0.8626  0.0013  0.1218  0.414  0.6215  0.50
Tsujii 2005   2  0.8717  0.009  0.155  0.5710  0.4712  0.52
Uninsky 1959   28  0.8133  0.0043  0.0647  0.0624  0.3345  0.14
Vardi 1988   37  0.788  0.0144  0.0641  0.064  0.6238  0.19
Wasowski 1980   34  0.7942  0.0041  0.0737  0.0711  0.4937  0.19
Zimerman 1975   18  0.837  0.0118  0.1112  0.462  0.739  0.58
Average   1  0.931  0.801  0.791  0.912  0.801  0.85
Random 1   67  -0.0965  0.0066  0.0266  0.0247  0.0367  0.02
Random 2   66  -0.0366  0.0067  0.0167  0.0157  0.0366  0.02
Random 3   65  0.0267  0.0065  0.0365  0.0324  0.1862  0.07

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).