Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   2  0.881  0.161  0.162  0.692  0.591  0.64
Ax 1995   8  0.8514  0.0216  0.1010  0.5011  0.4314  0.46
Bacha 1998   32  0.7553  0.0035  0.1035  0.1010  0.4529  0.21
Barbosa 1983   50  0.6542  0.0049  0.0545  0.0543  0.0558  0.05
BenOr 1989   61  0.5330  0.0058  0.0643  0.0653  0.0560  0.05
Biret 1990   44  0.6952  0.0051  0.0363  0.0343  0.0564  0.04
Brailowsky 1960   31  0.7643  0.0025  0.0729  0.1714  0.3227  0.23
Chiu 1999   40  0.7210  0.0328  0.0630  0.1328  0.2533  0.18
Clidat 1994   4  0.8727  0.006  0.116  0.567  0.586  0.57
Cohen 1997   51  0.6459  0.0056  0.0461  0.0422  0.3139  0.11
Cortot 1951   62  0.4140  0.0062  0.0550  0.0527  0.1942  0.10
Csalog 1996   17  0.8251  0.0032  0.0633  0.1115  0.3432  0.19
Czerny 1989   22  0.7933  0.0022  0.0919  0.371  0.5515  0.45
Ezaki 2006   10  0.8536  0.0017  0.1116  0.4018  0.4417  0.42
Falvay 1989   26  0.784  0.095  0.2014  0.469  0.4613  0.46
Fiorentino 1962   5  0.8632  0.0015  0.099  0.529  0.589  0.55
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   20  0.8048  0.0033  0.0740  0.0729  0.2036  0.12
Francois 1956   29  0.7628  0.0029  0.0725  0.2215  0.4824  0.32
Goldenweiser 1946   63  0.4023  0.0063  0.0556  0.0554  0.0461  0.04
Gornostaeva 1994   45  0.6916  0.0137  0.0737  0.074  0.5531  0.20
Groot 1988   46  0.6837  0.0048  0.0738  0.0735  0.0650  0.06
Hatto 1993   35  0.7519  0.0138  0.0836  0.0852  0.0551  0.06
Hatto 1997   34  0.7550  0.0040  0.1034  0.1046  0.0547  0.07
Horszowski 1983   52  0.6456  0.0050  0.0553  0.0533  0.1046  0.07
Indjic 2001   33  0.7545  0.0039  0.1132  0.1143  0.0549  0.07
Katin 1996   21  0.7955  0.0036  0.0739  0.0724  0.2834  0.14
Kiepura 1999   53  0.6334  0.0054  0.0552  0.0528  0.2140  0.10
Korecka 1992   58  0.5963  0.0061  0.0549  0.0545  0.0554  0.05
Kushner 1990   60  0.5658  0.0055  0.0555  0.0553  0.0462  0.04
Lilamand 2001   55  0.6057  0.0057  0.0458  0.0450  0.0563  0.04
Luisada 1990   56  0.6060  0.0047  0.0546  0.0531  0.1148  0.07
Luisada 2008   49  0.6549  0.0044  0.0554  0.0518  0.3137  0.12
Lushtak 2004   39  0.7335  0.0030  0.0728  0.1922  0.3026  0.24
Malcuzynski 1951   6  0.8618  0.0112  0.1311  0.4913  0.5211  0.50
Malcuzynski 1961   19  0.8115  0.0121  0.1021  0.3117  0.3322  0.32
Magaloff 1977   37  0.7444  0.0041  0.0544  0.0527  0.2338  0.11
Magin 1975   42  0.7124  0.0043  0.0548  0.0528  0.2141  0.10
Meguri 1997   57  0.5917  0.0124  0.0827  0.2252  0.0443  0.09
Milkina 1970   14  0.8241  0.0019  0.1018  0.3821  0.3920  0.38
Mohovich 1999   27  0.786  0.0611  0.1017  0.3915  0.3919  0.39
Nezu 2005   28  0.7746  0.0026  0.0922  0.2732  0.1730  0.21
Ohlsson 1999   38  0.7431  0.0045  0.0642  0.0649  0.0557  0.05
Olejniczak 1990   48  0.6529  0.0053  0.0459  0.0455  0.0465  0.04
Osinska 1989   13  0.8325  0.0014  0.108  0.5223  0.3516  0.43
Perlemuter 1992   59  0.5839  0.0059  0.0460  0.0434  0.0653  0.05
Poblocka 1999   3  0.8712  0.034  0.184  0.584  0.642  0.61
Rangell 2001   15  0.8221  0.0123  0.1120  0.3613  0.5018  0.42
Richter 1960   25  0.7920  0.017  0.125  0.562  0.644  0.60
Richter 1961   16  0.825  0.093  0.193  0.622  0.613  0.61
Rosen 1989   12  0.8413  0.0218  0.1313  0.481  0.687  0.57
Rubinstein 1939   9  0.853  0.118  0.1112  0.4910  0.618  0.55
Rubinstein 1952   24  0.798  0.0310  0.1123  0.2719  0.4121  0.33
Rubinstein 1966   11  0.857  0.069  0.1315  0.458  0.5710  0.51
Rudanovskaya 2007   41  0.7211  0.0331  0.0731  0.1319  0.4228  0.23
Shebanova 2002   7  0.8662  0.0013  0.117  0.5410  0.4212  0.48
Smith 1975   43  0.7038  0.0046  0.0551  0.0532  0.1444  0.08
Sztompka 1959   54  0.6047  0.0060  0.0557  0.0538  0.0556  0.05
Tanyel 1992   23  0.7926  0.0020  0.1226  0.2214  0.3725  0.29
Tsujii 2005   1  0.892  0.132  0.191  0.698  0.505  0.59
Uninsky 1959   36  0.749  0.0342  0.0547  0.0541  0.0655  0.05
Vardi 1988   30  0.7661  0.0034  0.0741  0.0723  0.2535  0.13
Wasowski 1980   47  0.6854  0.0052  0.0462  0.0435  0.0752  0.05
Zimerman 1975   18  0.8122  0.0027  0.1124  0.2410  0.4323  0.32
Random 1   65  -0.0865  0.0065  0.0265  0.0237  0.0566  0.03
Random 2   64  -0.0164  0.0064  0.0264  0.0216  0.3445  0.08
Random 3   66  -0.1366  0.0066  0.0166  0.0123  0.2159  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).