Indjic 2001

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   39  0.718  0.0022  0.1221  0.3621  0.3325  0.34
Ax 1995   52  0.6755  0.0049  0.0459  0.0431  0.1452  0.07
Bacha 1998   26  0.7738  0.0015  0.0915  0.5010  0.5213  0.51
Barbosa 1983   50  0.6856  0.0017  0.0918  0.467  0.6111  0.53
BenOr 1989   12  0.7918  0.0010  0.0922  0.3613  0.5321  0.44
Biret 1990   20  0.7739  0.0029  0.0830  0.2337  0.0739  0.13
Brailowsky 1960   54  0.6547  0.0050  0.0558  0.0535  0.0853  0.06
Chiu 1999   32  0.7540  0.0032  0.0832  0.1711  0.3628  0.25
Clidat 1994   46  0.7048  0.0036  0.0934  0.0921  0.4232  0.19
Cohen 1997   64  0.4622  0.0064  0.0463  0.0459  0.0465  0.04
Cortot 1951   56  0.6330  0.0057  0.0650  0.0659  0.0460  0.05
Csalog 1996   30  0.759  0.0037  0.0836  0.0829  0.1941  0.12
Czerny 1989   35  0.7331  0.0030  0.0927  0.257  0.5324  0.36
Ezaki 2006   43  0.7032  0.0054  0.0743  0.0729  0.1645  0.11
Falvay 1989   4  0.864  0.004  0.354  0.733  0.624  0.67
Fiorentino 1962   29  0.7533  0.0038  0.0648  0.0626  0.2543  0.12
Fliere 1977   9  0.8057  0.0011  0.0913  0.537  0.616  0.57
Fou 1978   25  0.7734  0.007  0.1210  0.555  0.558  0.55
Francois 1956   61  0.5758  0.0063  0.0557  0.0561  0.0366  0.04
Goldenweiser 1946   53  0.665  0.0042  0.0646  0.0627  0.1946  0.11
Gornostaeva 1994   38  0.7210  0.0044  0.0741  0.0722  0.3833  0.16
Groot 1988   7  0.8159  0.008  0.129  0.5614  0.4117  0.48
Hatto 1993   1  0.992  0.432  0.961  0.991  0.992  0.99
Hatto 1997   2  0.981  0.561  0.552  0.991  0.991  0.99
Horszowski 1983   44  0.7019  0.0031  0.0931  0.2123  0.2630  0.23
Indjic 2001   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Katin 1996   13  0.7949  0.0019  0.1316  0.5011  0.5214  0.51
Kiepura 1999   62  0.5750  0.0056  0.0464  0.0432  0.1150  0.07
Korecka 1992   24  0.7760  0.0025  0.1125  0.307  0.5122  0.39
Kushner 1990   57  0.6351  0.0051  0.0742  0.0736  0.0851  0.07
Lilamand 2001   63  0.5623  0.0059  0.0462  0.0442  0.0756  0.05
Luisada 1990   18  0.7814  0.006  0.138  0.5719  0.4116  0.48
Luisada 2008   21  0.7741  0.0026  0.1026  0.3019  0.3126  0.30
Lushtak 2004   34  0.7361  0.0046  0.0649  0.0637  0.0655  0.06
Malcuzynski 1951   60  0.6220  0.0043  0.0740  0.0722  0.2144  0.12
Malcuzynski 1961   27  0.7611  0.0012  0.0814  0.5213  0.4915  0.50
Magaloff 1977   31  0.7515  0.0039  0.0647  0.0624  0.2938  0.13
Magin 1975   14  0.7942  0.0016  0.0912  0.5311  0.4912  0.51
Meguri 1997   41  0.7162  0.0055  0.0651  0.0627  0.2047  0.11
Milkina 1970   42  0.7128  0.0045  0.0739  0.0735  0.0654  0.06
Mohovich 1999   47  0.6916  0.0048  0.0553  0.0563  0.0364  0.04
Nezu 2005   16  0.7813  0.0028  0.0828  0.2423  0.3527  0.29
Ohlsson 1999   11  0.7963  0.0018  0.1111  0.5419  0.4018  0.46
Olejniczak 1990   17  0.786  0.0033  0.0833  0.1622  0.3331  0.23
Osinska 1989   19  0.7843  0.0023  0.0929  0.2438  0.0736  0.13
Perlemuter 1992   55  0.6452  0.0060  0.0461  0.0449  0.0461  0.04
Poblocka 1999   6  0.8224  0.0013  0.095  0.617  0.527  0.56
Rangell 2001   58  0.6344  0.0061  0.0556  0.0549  0.0559  0.05
Richter 1960   40  0.7117  0.0047  0.0738  0.0725  0.2142  0.12
Richter 1961   49  0.6821  0.0053  0.0552  0.0528  0.2740  0.12
Rosen 1989   45  0.7064  0.0041  0.0835  0.0834  0.0849  0.08
Rubinstein 1939   33  0.7429  0.0021  0.1220  0.3720  0.3823  0.37
Rubinstein 1952   28  0.7645  0.0020  0.1017  0.4913  0.4119  0.45
Rubinstein 1966   22  0.7725  0.0024  0.0923  0.3427  0.1829  0.25
Rudanovskaya 2007   48  0.6965  0.0062  0.0555  0.0552  0.0462  0.04
Shebanova 2002   8  0.8153  0.005  0.247  0.595  0.595  0.59
Smith 1975   37  0.7326  0.0040  0.0554  0.0526  0.3637  0.13
Sztompka 1959   23  0.7754  0.0027  0.1024  0.336  0.6020  0.44
Tanyel 1992   59  0.637  0.0058  0.0460  0.0457  0.0463  0.04
Tsujii 2005   15  0.7812  0.0034  0.0745  0.0754  0.0457  0.05
Uninsky 1959   5  0.8235  0.009  0.106  0.598  0.4810  0.53
Vardi 1988   51  0.6746  0.0052  0.0737  0.0725  0.2934  0.14
Wasowski 1980   36  0.7327  0.0035  0.0744  0.0729  0.2535  0.13
Zimerman 1975   10  0.8036  0.0014  0.1019  0.425  0.699  0.54
Average   3  0.893  0.003  0.723  0.9011  0.543  0.70
Random 1   67  -0.0266  0.0067  0.0167  0.0121  0.2258  0.05
Random 2   65  0.0637  0.0066  0.0266  0.026  0.4348  0.09
Random 3   66  0.0267  0.0065  0.0265  0.0248  0.0467  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).