Groot 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2059  0.0043  0.0551  0.0543  0.0659  0.05
Ax 1995   63  0.3222  0.0064  0.0460  0.0460  0.0365  0.03
Bacha 1998   60  0.4419  0.0060  0.0458  0.0453  0.0463  0.04
Barbosa 1983   62  0.3856  0.0040  0.0737  0.0740  0.0851  0.07
BenOr 1989   17  0.6131  0.0014  0.1512  0.5010  0.5714  0.53
Biret 1990   10  0.6343  0.0010  0.1710  0.569  0.628  0.59
Brailowsky 1960   55  0.4644  0.0056  0.0461  0.0430  0.2247  0.09
Chiu 1999   39  0.5530  0.0039  0.0835  0.0823  0.2935  0.15
Clidat 1994   38  0.5534  0.0028  0.0830  0.1913  0.4829  0.30
Cohen 1997   57  0.4537  0.0059  0.0546  0.0514  0.5834  0.17
Cortot 1951   40  0.5452  0.0055  0.0553  0.0533  0.1054  0.07
Csalog 1996   4  0.6613  0.017  0.189  0.5618  0.4815  0.52
Czerny 1989   16  0.6116  0.005  0.217  0.597  0.597  0.59
Ezaki 2006   48  0.4866  0.0049  0.0459  0.0448  0.0561  0.04
Falvay 1989   3  0.667  0.013  0.142  0.675  0.576  0.62
Fiorentino 1962   12  0.6235  0.0016  0.0721  0.3918  0.4321  0.41
Fliere 1977   37  0.5550  0.0045  0.0545  0.0526  0.1945  0.10
Fou 1978   36  0.5512  0.0137  0.0738  0.0731  0.1842  0.11
Francois 1956   56  0.4663  0.0061  0.0362  0.0341  0.0760  0.05
Goldenweiser 1946   24  0.6020  0.0023  0.1016  0.469  0.5318  0.49
Gornostaeva 1994   61  0.4064  0.0057  0.0554  0.0525  0.3241  0.13
Groot 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1993   18  0.6139  0.0018  0.0915  0.4713  0.5019  0.48
Hatto 1997   30  0.5767  0.0034  0.0836  0.0828  0.2439  0.14
Horszowski 1983   44  0.5338  0.0027  0.1326  0.2922  0.4427  0.36
Indjic 2001   20  0.6041  0.0024  0.0920  0.4021  0.4320  0.41
Katin 1996   2  0.6824  0.002  0.163  0.652  0.672  0.66
Kiepura 1999   35  0.5511  0.0147  0.0641  0.0623  0.3437  0.14
Korecka 1992   52  0.4758  0.0063  0.0364  0.0334  0.0956  0.05
Kushner 1990   59  0.4460  0.0058  0.0549  0.0550  0.0558  0.05
Lilamand 2001   25  0.6033  0.0012  0.1311  0.5115  0.6010  0.55
Luisada 1990   42  0.5436  0.0021  0.0822  0.3923  0.3626  0.37
Luisada 2008   53  0.4645  0.0048  0.0547  0.0531  0.1250  0.08
Lushtak 2004   9  0.6314  0.0113  0.1213  0.506  0.5912  0.54
Malcuzynski 1951   49  0.4825  0.0052  0.0548  0.0517  0.4536  0.15
Malcuzynski 1961   8  0.6410  0.019  0.118  0.572  0.599  0.58
Magaloff 1977   27  0.5923  0.0019  0.1114  0.487  0.6111  0.54
Magin 1975   23  0.609  0.0120  0.0824  0.3222  0.3628  0.34
Meguri 1997   19  0.615  0.0132  0.0832  0.1714  0.4931  0.29
Milkina 1970   28  0.5929  0.0035  0.0740  0.0724  0.1843  0.11
Mohovich 1999   5  0.6517  0.008  0.255  0.625  0.675  0.64
Nezu 2005   33  0.5649  0.0046  0.0642  0.0634  0.0852  0.07
Ohlsson 1999   45  0.4927  0.0054  0.0552  0.0549  0.0557  0.05
Olejniczak 1990   26  0.5940  0.0025  0.0925  0.308  0.5125  0.39
Osinska 1989   15  0.6153  0.0031  0.0731  0.1726  0.3032  0.23
Perlemuter 1992   13  0.626  0.0130  0.0729  0.191  0.7923  0.39
Poblocka 1999   32  0.5647  0.0036  0.0739  0.0732  0.1546  0.10
Rangell 2001   43  0.5461  0.0044  0.0544  0.0530  0.3740  0.14
Richter 1960   7  0.643  0.026  0.196  0.603  0.714  0.65
Richter 1961   41  0.548  0.0138  0.0934  0.0920  0.4533  0.20
Rosen 1989   22  0.6015  0.0133  0.0733  0.1414  0.6330  0.30
Rubinstein 1939   54  0.4657  0.0053  0.0455  0.0452  0.0462  0.04
Rubinstein 1952   31  0.5632  0.0015  0.0917  0.468  0.5616  0.51
Rubinstein 1966   6  0.6418  0.004  0.164  0.643  0.663  0.65
Rudanovskaya 2007   11  0.6351  0.0017  0.0818  0.455  0.6313  0.53
Shebanova 2002   14  0.612  0.0211  0.1219  0.4511  0.5517  0.50
Smith 1975   34  0.564  0.0226  0.1027  0.2810  0.5324  0.39
Sztompka 1959   58  0.4565  0.0062  0.0363  0.0359  0.0564  0.04
Tanyel 1992   51  0.4728  0.0050  0.0456  0.0424  0.2249  0.09
Tsujii 2005   21  0.6054  0.0029  0.0728  0.2041  0.0644  0.11
Uninsky 1959   29  0.5742  0.0042  0.0550  0.0530  0.1648  0.09
Vardi 1988   46  0.4921  0.0022  0.0823  0.3419  0.4622  0.40
Wasowski 1980   50  0.4826  0.0051  0.0457  0.0419  0.4838  0.14
Zimerman 1975   47  0.4848  0.0041  0.0643  0.0635  0.0953  0.07
Average   1  0.781  0.781  0.761  0.877  0.531  0.68
Random 1   65  0.0362  0.0066  0.0266  0.0250  0.0367  0.02
Random 2   66  0.0046  0.0067  0.0167  0.0143  0.0466  0.02
Random 3   67  -0.0155  0.0065  0.0265  0.0224  0.1755  0.06

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).