Fiorentino 1962

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   47  0.5263  0.0049  0.0843  0.0838  0.0754  0.07
Ax 1995   3  0.754  0.044  0.343  0.813  0.803  0.80
Bacha 1998   38  0.589  0.0134  0.1334  0.131  0.7530  0.31
Barbosa 1983   44  0.5529  0.0045  0.0751  0.0731  0.1350  0.10
BenOr 1989   16  0.6532  0.0017  0.0918  0.4315  0.5417  0.48
Biret 1990   37  0.5826  0.0037  0.1533  0.1518  0.4036  0.24
Brailowsky 1960   13  0.6824  0.0012  0.2313  0.5811  0.5714  0.57
Chiu 1999   52  0.4365  0.0053  0.0556  0.0524  0.3547  0.13
Clidat 1994   46  0.5359  0.0047  0.1040  0.1022  0.3142  0.18
Cohen 1997   63  0.2061  0.0063  0.0554  0.0562  0.0463  0.04
Cortot 1951   56  0.4064  0.0059  0.0557  0.056  0.5646  0.17
Csalog 1996   28  0.6242  0.0033  0.1039  0.104  0.7132  0.27
Czerny 1989   29  0.6145  0.0031  0.1031  0.2014  0.5528  0.33
Ezaki 2006   17  0.6510  0.0128  0.1124  0.318  0.5520  0.41
Falvay 1989   5  0.723  0.103  0.315  0.697  0.609  0.64
Fiorentino 1962   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fliere 1977   43  0.5621  0.0024  0.0926  0.289  0.4526  0.35
Fou 1978   27  0.6246  0.0029  0.1123  0.3222  0.4325  0.37
Francois 1956   35  0.5940  0.0035  0.1236  0.126  0.5037  0.24
Goldenweiser 1946   51  0.4653  0.0051  0.1335  0.1311  0.5233  0.26
Gornostaeva 1994   50  0.4822  0.0050  0.0846  0.0818  0.3944  0.18
Groot 1988   10  0.7012  0.018  0.2010  0.633  0.716  0.67
Hatto 1993   6  0.7223  0.006  0.198  0.6510  0.658  0.65
Hatto 1997   11  0.6914  0.0113  0.1511  0.6012  0.6011  0.60
Horszowski 1983   62  0.3350  0.0060  0.0463  0.0421  0.2251  0.09
Indjic 2001   7  0.7227  0.007  0.184  0.719  0.665  0.68
Katin 1996   21  0.6441  0.0027  0.1121  0.3617  0.4522  0.40
Kiepura 1999   14  0.6717  0.0014  0.1314  0.539  0.6612  0.59
Korecka 1992   33  0.5954  0.0039  0.0847  0.0811  0.6239  0.22
Kushner 1990   42  0.5647  0.0040  0.0748  0.0734  0.1349  0.10
Lilamand 2001   60  0.3643  0.0062  0.0752  0.0753  0.0556  0.06
Luisada 1990   30  0.6119  0.0038  0.0750  0.0721  0.4643  0.18
Luisada 2008   39  0.5849  0.0043  0.1237  0.1228  0.4040  0.22
Lushtak 2004   26  0.6213  0.0125  0.0925  0.3024  0.2731  0.28
Malcuzynski 1951   1  0.801  0.491  0.481  0.872  0.851  0.86
Malcuzynski 1961   2  0.772  0.202  0.522  0.842  0.792  0.81
Magaloff 1977   45  0.5437  0.0046  0.0845  0.084  0.7135  0.24
Magin 1975   23  0.6431  0.0030  0.1030  0.2516  0.4927  0.35
Meguri 1997   59  0.3851  0.0052  0.0558  0.0555  0.0461  0.04
Milkina 1970   22  0.6425  0.0016  0.1016  0.5225  0.3121  0.40
Mohovich 1999   48  0.5257  0.0044  0.0749  0.0735  0.0853  0.07
Nezu 2005   25  0.6334  0.0032  0.0932  0.1724  0.4134  0.26
Ohlsson 1999   32  0.6044  0.0041  0.0942  0.0936  0.1148  0.10
Olejniczak 1990   8  0.715  0.029  0.187  0.684  0.677  0.67
Osinska 1989   9  0.707  0.0111  0.199  0.6513  0.5710  0.61
Perlemuter 1992   58  0.3930  0.0061  0.0753  0.0733  0.0655  0.06
Poblocka 1999   24  0.6335  0.0021  0.0827  0.2819  0.5523  0.39
Rangell 2001   54  0.4220  0.0056  0.0555  0.0538  0.0660  0.05
Richter 1960   53  0.4262  0.0054  0.0459  0.0436  0.0758  0.05
Richter 1961   61  0.3655  0.0058  0.0460  0.0445  0.0657  0.05
Rosen 1989   15  0.6615  0.0118  0.1219  0.387  0.6416  0.49
Rubinstein 1939   41  0.5728  0.0020  0.0929  0.2617  0.5324  0.37
Rubinstein 1952   34  0.5933  0.0023  0.0928  0.2719  0.3929  0.32
Rubinstein 1966   20  0.646  0.0215  0.1415  0.5312  0.5115  0.52
Rudanovskaya 2007   57  0.3948  0.0057  0.0461  0.0440  0.0659  0.05
Shebanova 2002   55  0.4036  0.0055  0.0462  0.0462  0.0364  0.03
Smith 1975   4  0.7216  0.015  0.346  0.691  0.784  0.73
Sztompka 1959   49  0.5238  0.0048  0.0844  0.0822  0.3845  0.17
Tanyel 1992   18  0.6518  0.0019  0.1217  0.4824  0.3818  0.43
Tsujii 2005   19  0.658  0.0126  0.0920  0.3736  0.1041  0.19
Uninsky 1959   31  0.6052  0.0036  0.1138  0.1138  0.0852  0.09
Vardi 1988   36  0.5911  0.0122  0.0822  0.3417  0.5319  0.42
Wasowski 1980   40  0.5858  0.0042  0.0941  0.0913  0.5738  0.23
Zimerman 1975   12  0.6939  0.0010  0.1512  0.6012  0.5813  0.59
Random 1   65  -0.0466  0.0065  0.0265  0.0252  0.0366  0.02
Random 2   66  -0.0956  0.0066  0.0166  0.0161  0.0365  0.02
Random 3   64  0.0060  0.0064  0.0464  0.0440  0.0562  0.04

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).