Sztompka 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   41  0.4452  0.0046  0.0746  0.0761  0.0462  0.05
Ax 1995   14  0.5844  0.0012  0.1716  0.5349  0.0817  0.21
Bacha 1998   48  0.4023  0.0042  0.0747  0.0756  0.0546  0.06
Barbosa 1983   34  0.505  0.0428  0.1032  0.2125  0.2216  0.21
BenOr 1989   6  0.613  0.073  0.252  0.7225  0.304  0.46
Biret 1990   26  0.5222  0.0020  0.1319  0.4936  0.1014  0.22
Brailowsky 1960   3  0.6317  0.002  0.259  0.6129  0.235  0.37
Chiu 1999   59  0.3143  0.0056  0.0651  0.0661  0.0457  0.05
Clidat 1994   53  0.3556  0.0052  0.0841  0.0861  0.0451  0.06
Cohen 1997   54  0.3461  0.0055  0.0655  0.0638  0.0753  0.06
Cortot 1951   57  0.3253  0.0059  0.0657  0.0642  0.0655  0.06
Csalog 1996   36  0.4913  0.0138  0.0748  0.0749  0.0648  0.06
Czerny 1989   25  0.5333  0.0031  0.0929  0.2939  0.0827  0.15
Ezaki 2006   40  0.4545  0.0047  0.0937  0.0952  0.0640  0.07
Falvay 1989   8  0.6126  0.0011  0.197  0.6447  0.0715  0.21
Fiorentino 1962   27  0.5224  0.0021  0.1523  0.3845  0.0824  0.17
Fliere 1977   46  0.4247  0.0041  0.0843  0.0852  0.0641  0.07
Fou 1978   23  0.5442  0.0024  0.1022  0.4147  0.0626  0.16
Francois 1956   37  0.4734  0.0034  0.1035  0.1035  0.1035  0.10
Goldenweiser 1946   49  0.3838  0.0040  0.0653  0.0640  0.0645  0.06
Gornostaeva 1994   50  0.3849  0.0053  0.0839  0.0853  0.0554  0.06
Groot 1988   16  0.5620  0.0017  0.1618  0.5153  0.0625  0.17
Hatto 1993   44  0.4255  0.0049  0.0842  0.0851  0.0644  0.07
Hatto 1997   45  0.4218  0.0048  0.0656  0.0657  0.0649  0.06
Horszowski 1983   63  0.2446  0.0063  0.0559  0.0545  0.0556  0.05
Indjic 2001   47  0.4157  0.0050  0.1134  0.1146  0.0737  0.09
Katin 1996   20  0.5516  0.0025  0.1025  0.3641  0.0922  0.18
Kiepura 1999   17  0.5521  0.0015  0.1315  0.5336  0.139  0.26
Korecka 1992   12  0.5830  0.009  0.2011  0.598  0.652  0.62
Kushner 1990   28  0.5237  0.0037  0.0840  0.0849  0.0642  0.07
Lilamand 2001   51  0.3640  0.0045  0.0652  0.0625  0.2533  0.12
Luisada 1990   30  0.5119  0.0029  0.0930  0.2647  0.0930  0.15
Luisada 2008   39  0.4641  0.0039  0.0938  0.0944  0.0838  0.08
Lushtak 2004   42  0.4464  0.0043  0.1036  0.1054  0.0543  0.07
Malcuzynski 1951   13  0.5814  0.0014  0.1413  0.5551  0.0720  0.20
Malcuzynski 1961   11  0.5911  0.0113  0.1212  0.5841  0.0813  0.22
Magaloff 1977   55  0.3363  0.0054  0.0845  0.0862  0.0450  0.06
Magin 1975   1  0.671  0.501  0.493  0.696  0.621  0.65
Meguri 1997   58  0.3258  0.0057  0.0658  0.0662  0.0458  0.05
Milkina 1970   29  0.5110  0.0123  0.1121  0.4346  0.0919  0.20
Mohovich 1999   43  0.4360  0.0035  0.0654  0.0657  0.0560  0.05
Nezu 2005   32  0.5035  0.0032  0.1031  0.2154  0.0734  0.12
Ohlsson 1999   22  0.5425  0.0030  0.1028  0.3047  0.0829  0.15
Olejniczak 1990   19  0.5512  0.0119  0.1520  0.4855  0.0723  0.18
Osinska 1989   5  0.614  0.057  0.165  0.6846  0.0910  0.25
Perlemuter 1992   52  0.3559  0.0051  0.0750  0.0722  0.2232  0.12
Poblocka 1999   7  0.6129  0.008  0.146  0.6628  0.393  0.51
Rangell 2001   56  0.3339  0.0058  0.0560  0.0558  0.0466  0.04
Richter 1960   60  0.2754  0.0061  0.0463  0.0439  0.0659  0.05
Richter 1961   64  0.1551  0.0064  0.0461  0.0452  0.0563  0.04
Rosen 1989   31  0.518  0.0126  0.1026  0.3653  0.0631  0.15
Rubinstein 1939   15  0.5636  0.0016  0.1317  0.5350  0.0721  0.19
Rubinstein 1952   10  0.596  0.045  0.2410  0.6149  0.0718  0.21
Rubinstein 1966   9  0.6027  0.0010  0.248  0.6232  0.157  0.30
Rudanovskaya 2007   62  0.2466  0.0060  0.0462  0.0448  0.0565  0.04
Shebanova 2002   61  0.2548  0.0062  0.0464  0.0446  0.0464  0.04
Smith 1975   24  0.539  0.0118  0.1614  0.5441  0.0912  0.22
Sztompka 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tanyel 1992   33  0.5032  0.0033  0.0933  0.1858  0.0536  0.09
Tsujii 2005   38  0.4662  0.0044  0.0844  0.0860  0.0552  0.06
Uninsky 1959   21  0.547  0.0227  0.1124  0.3854  0.0628  0.15
Vardi 1988   35  0.4928  0.0036  0.0749  0.0749  0.0647  0.06
Wasowski 1980   18  0.5531  0.0022  0.0927  0.3424  0.366  0.35
Zimerman 1975   4  0.6215  0.006  0.184  0.6843  0.0911  0.25
Average   2  0.652  0.174  0.381  0.7943  0.108  0.28
Random 1   65  0.0167  0.0066  0.0265  0.0214  0.3239  0.08
Random 2   67  -0.0265  0.0067  0.0167  0.0150  0.0467  0.02
Random 3   66  0.0050  0.0065  0.0266  0.0228  0.1161  0.05

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).