Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2723  0.0038  0.0645  0.0642  0.0655  0.06
Ax 1995   61  0.3742  0.0058  0.0456  0.0453  0.0463  0.04
Bacha 1998   56  0.4534  0.0052  0.0459  0.0439  0.0562  0.04
Barbosa 1983   60  0.4059  0.0034  0.0643  0.0635  0.0951  0.07
BenOr 1989   12  0.607  0.0112  0.1210  0.4917  0.5012  0.49
Biret 1990   26  0.5853  0.0028  0.1022  0.2819  0.4022  0.33
Brailowsky 1960   62  0.3654  0.0061  0.0361  0.0354  0.0465  0.03
Chiu 1999   48  0.4964  0.0050  0.0647  0.0634  0.0950  0.07
Clidat 1994   34  0.554  0.0211  0.1615  0.4410  0.5610  0.50
Cohen 1997   59  0.4029  0.0054  0.0360  0.0311  0.5841  0.13
Cortot 1951   31  0.5648  0.0047  0.0737  0.0723  0.2045  0.12
Csalog 1996   14  0.6032  0.0019  0.0917  0.4133  0.1430  0.24
Czerny 1989   21  0.5830  0.0013  0.1412  0.4614  0.5211  0.49
Ezaki 2006   41  0.5220  0.0037  0.0548  0.0536  0.0753  0.06
Falvay 1989   4  0.6528  0.007  0.195  0.6117  0.3613  0.47
Fiorentino 1962   3  0.675  0.016  0.213  0.663  0.671  0.66
Fliere 1977   32  0.5655  0.0030  0.0729  0.1716  0.3827  0.25
Fou 1978   27  0.5741  0.0029  0.1027  0.2519  0.3124  0.28
Francois 1956   63  0.3667  0.0066  0.0266  0.0248  0.0566  0.03
Goldenweiser 1946   40  0.5347  0.0048  0.0735  0.0750  0.0554  0.06
Gornostaeva 1994   52  0.4611  0.0131  0.0631  0.1319  0.4828  0.25
Groot 1988   5  0.6325  0.009  0.196  0.5913  0.508  0.54
Hatto 1993   18  0.5918  0.0020  0.0818  0.3624  0.3820  0.37
Hatto 1997   11  0.6136  0.0027  0.0825  0.2820  0.4021  0.33
Horszowski 1983   15  0.606  0.013  0.159  0.532  0.684  0.60
Indjic 2001   7  0.6246  0.0015  0.1013  0.4515  0.4714  0.46
Katin 1996   9  0.6112  0.0114  0.0914  0.4425  0.3419  0.39
Kiepura 1999   35  0.5552  0.0044  0.0834  0.0814  0.4831  0.20
Korecka 1992   39  0.5365  0.0057  0.0455  0.0422  0.4339  0.13
Kushner 1990   53  0.4622  0.0023  0.0830  0.1619  0.3629  0.24
Lilamand 2001   28  0.5717  0.0021  0.0920  0.3418  0.5517  0.43
Luisada 1990   13  0.6031  0.0010  0.168  0.5511  0.576  0.56
Luisada 2008   42  0.5135  0.0035  0.0738  0.0723  0.3135  0.15
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1951   58  0.4163  0.0063  0.0363  0.0353  0.0564  0.04
Malcuzynski 1961   23  0.5837  0.0026  0.0724  0.2827  0.2425  0.26
Magaloff 1977   49  0.4860  0.0056  0.0550  0.0537  0.0660  0.05
Magin 1975   8  0.6213  0.008  0.177  0.577  0.547  0.55
Meguri 1997   19  0.5910  0.0142  0.0641  0.0617  0.4734  0.17
Milkina 1970   33  0.5638  0.0032  0.0632  0.1235  0.0847  0.10
Mohovich 1999   24  0.5862  0.0025  0.0826  0.2825  0.3123  0.29
Nezu 2005   25  0.5814  0.0046  0.0740  0.0727  0.2143  0.12
Ohlsson 1999   47  0.4927  0.0051  0.0552  0.0553  0.0559  0.05
Olejniczak 1990   29  0.5749  0.0045  0.0739  0.0721  0.2837  0.14
Osinska 1989   2  0.6715  0.004  0.184  0.655  0.662  0.65
Perlemuter 1992   46  0.4939  0.0059  0.0454  0.0417  0.4438  0.13
Poblocka 1999   10  0.6124  0.0017  0.0816  0.4217  0.4716  0.44
Rangell 2001   37  0.5444  0.0039  0.0736  0.0724  0.4433  0.18
Richter 1960   36  0.5416  0.0043  0.0646  0.0628  0.2542  0.12
Richter 1961   16  0.603  0.035  0.1911  0.489  0.589  0.53
Rosen 1989   43  0.5150  0.0060  0.0551  0.0535  0.0952  0.07
Rubinstein 1939   54  0.4526  0.0053  0.0553  0.0546  0.0557  0.05
Rubinstein 1952   50  0.4833  0.0022  0.0928  0.2322  0.2926  0.26
Rubinstein 1966   6  0.632  0.042  0.292  0.664  0.633  0.64
Rudanovskaya 2007   20  0.5945  0.0041  0.0642  0.0626  0.2146  0.11
Shebanova 2002   22  0.5819  0.0033  0.0533  0.1129  0.1936  0.14
Smith 1975   55  0.4543  0.0055  0.0457  0.0449  0.0656  0.05
Sztompka 1959   45  0.5057  0.0036  0.0644  0.0626  0.2740  0.13
Tanyel 1992   51  0.4740  0.0040  0.0549  0.0529  0.1948  0.10
Tsujii 2005   17  0.5951  0.0024  0.0623  0.2832  0.1332  0.19
Uninsky 1959   44  0.5161  0.0049  0.0458  0.0437  0.0758  0.05
Vardi 1988   38  0.5321  0.0018  0.0919  0.3518  0.4618  0.40
Wasowski 1980   57  0.429  0.0162  0.0362  0.0348  0.0661  0.04
Zimerman 1975   30  0.578  0.0116  0.0921  0.339  0.6115  0.45
Average   1  0.761  0.771  0.761  0.8915  0.395  0.59
Random 1   65  0.1256  0.0064  0.0364  0.033  0.4944  0.12
Random 2   66  0.0558  0.0065  0.0265  0.0217  0.3849  0.09
Random 3   67  -0.0366  0.0067  0.0167  0.0155  0.0367  0.02

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).