Random 2

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   48  0.0027  0.0058  0.0358  0.0366  0.0156  0.02
Ax 1995   45  0.0016  0.0139  0.0639  0.0666  0.0157  0.02
Bacha 1998   42  0.0060  0.0059  0.0353  0.0366  0.0147  0.02
Barbosa 1983   18  0.0424  0.0014  0.0819  0.2665  0.0214  0.07
BenOr 1989   2  0.072  0.272  0.352  0.5364  0.024  0.10
Biret 1990   8  0.066  0.0311  0.0821  0.2466  0.0128  0.05
Brailowsky 1960   53  -0.0131  0.0052  0.0352  0.0366  0.0142  0.02
Chiu 1999   41  0.0026  0.0037  0.0638  0.0666  0.0144  0.02
Clidat 1994   15  0.0425  0.0015  0.0818  0.2865  0.0217  0.07
Cohen 1997   57  -0.0213  0.0164  0.0263  0.0266  0.0165  0.01
Cortot 1951   16  0.048  0.0210  0.1013  0.3366  0.0125  0.06
Csalog 1996   11  0.0514  0.0125  0.0917  0.2865  0.0215  0.07
Czerny 1989   14  0.0437  0.0020  0.0611  0.3566  0.0119  0.06
Ezaki 2006   36  0.0135  0.0021  0.0720  0.2465  0.0211  0.07
Falvay 1989   43  0.0054  0.0054  0.0446  0.0466  0.0145  0.02
Fiorentino 1962   26  0.0215  0.0136  0.0833  0.0866  0.0136  0.03
Fliere 1977   10  0.0518  0.0117  0.0715  0.3266  0.0118  0.06
Fou 1978   52  -0.0147  0.0044  0.0543  0.0566  0.0146  0.02
Francois 1956   65  -0.0419  0.0061  0.0262  0.0266  0.0166  0.01
Goldenweiser 1946   54  -0.0140  0.0053  0.0348  0.0366  0.0141  0.02
Gornostaeva 1994   13  0.0429  0.008  0.094  0.4365  0.027  0.09
Groot 1988   37  0.0142  0.0043  0.0736  0.0766  0.0137  0.03
Hatto 1993   7  0.0638  0.0013  0.107  0.4065  0.028  0.09
Hatto 1997   17  0.0466  0.0029  0.0923  0.2266  0.0127  0.05
Horszowski 1983   30  0.0262  0.0033  0.0640  0.0666  0.0139  0.02
Indjic 2001   5  0.0639  0.0012  0.076  0.4165  0.026  0.09
Katin 1996   35  0.0159  0.0041  0.0542  0.0566  0.0150  0.02
Kiepura 1999   63  -0.0311  0.0147  0.0355  0.0366  0.0138  0.02
Korecka 1992   50  -0.0155  0.0049  0.0445  0.0466  0.0148  0.02
Kushner 1990   22  0.0323  0.0032  0.0632  0.1166  0.0132  0.03
Lilamand 2001   12  0.047  0.024  0.143  0.5166  0.0116  0.07
Luisada 1990   55  -0.0156  0.0045  0.0351  0.0366  0.0153  0.02
Luisada 2008   60  -0.0244  0.0048  0.0350  0.0366  0.0151  0.02
Lushtak 2004   49  0.0030  0.0038  0.0735  0.0766  0.0134  0.03
Malcuzynski 1951   56  -0.0157  0.0046  0.0354  0.0366  0.0158  0.02
Malcuzynski 1961   32  0.0264  0.0035  0.0734  0.0766  0.0131  0.03
Magaloff 1977   6  0.0622  0.0022  0.0714  0.3366  0.0123  0.06
Magin 1975   24  0.0320  0.006  0.105  0.4366  0.0113  0.07
Meguri 1997   51  -0.0121  0.0056  0.0259  0.0266  0.0161  0.01
Milkina 1970   29  0.0243  0.0027  0.0724  0.2165  0.0220  0.06
Mohovich 1999   44  0.0053  0.0051  0.0356  0.0366  0.0155  0.02
Nezu 2005   66  -0.0558  0.0066  0.0166  0.0166  0.0163  0.01
Ohlsson 1999   28  0.0233  0.0018  0.0727  0.1965  0.0222  0.06
Olejniczak 1990   9  0.0528  0.0016  0.0810  0.3565  0.0210  0.08
Osinska 1989   59  -0.0265  0.0062  0.0264  0.0266  0.0159  0.01
Perlemuter 1992   34  0.0112  0.0124  0.0722  0.2365  0.0212  0.07
Poblocka 1999   47  0.0061  0.0057  0.0260  0.0266  0.0160  0.01
Rangell 2001   19  0.045  0.037  0.109  0.3564  0.035  0.10
Richter 1960   27  0.0241  0.0031  0.0531  0.1166  0.0133  0.03
Richter 1961   38  0.0136  0.0050  0.0349  0.0366  0.0143  0.02
Rosen 1989   61  -0.0252  0.0063  0.0265  0.0266  0.0164  0.01
Rubinstein 1939   21  0.0346  0.0019  0.0730  0.1866  0.0130  0.04
Rubinstein 1952   3  0.074  0.045  0.138  0.3966  0.0126  0.06
Rubinstein 1966   1  0.083  0.113  0.1612  0.3465  0.029  0.08
Rudanovskaya 2007   31  0.0234  0.0040  0.0544  0.0566  0.0154  0.02
Shebanova 2002   40  0.0163  0.0042  0.0541  0.0566  0.0152  0.02
Smith 1975   20  0.0417  0.0126  0.0829  0.1966  0.0129  0.04
Sztompka 1959   4  0.061  0.271  0.271  0.5965  0.022  0.11
Tanyel 1992   62  -0.0248  0.0065  0.0261  0.0266  0.0162  0.01
Tsujii 2005   25  0.0245  0.0034  0.0637  0.0665  0.0235  0.03
Uninsky 1959   33  0.0232  0.0028  0.0728  0.1965  0.0221  0.06
Vardi 1988   46  0.0049  0.0055  0.0447  0.0466  0.0149  0.02
Wasowski 1980   58  -0.0251  0.0060  0.0357  0.0366  0.0140  0.02
Zimerman 1975   23  0.0350  0.0030  0.0926  0.2065  0.0224  0.06
Random 1   64  -0.039  0.0223  0.0625  0.2032  0.091  0.13
Random 2   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 3   39  0.0110  0.029  0.0816  0.3161  0.033  0.10

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).