Luisada 2008

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   28  0.7426  0.0014  0.1014  0.3819  0.3515  0.36
Ax 1995   44  0.6827  0.0019  0.0831  0.1410  0.4226  0.24
Bacha 1998   25  0.759  0.0117  0.1117  0.3213  0.4810  0.39
Barbosa 1983   58  0.6060  0.0048  0.0645  0.0636  0.0952  0.07
BenOr 1989   29  0.7336  0.0027  0.0725  0.1818  0.4621  0.29
Biret 1990   5  0.7929  0.006  0.164  0.5814  0.435  0.50
Brailowsky 1960   55  0.6564  0.0050  0.0556  0.0533  0.1151  0.07
Chiu 1999   15  0.767  0.0235  0.0838  0.084  0.4529  0.19
Clidat 1994   50  0.6655  0.0045  0.0550  0.0537  0.0953  0.07
Cohen 1997   63  0.5551  0.0062  0.0461  0.0420  0.3246  0.11
Cortot 1951   54  0.6549  0.0055  0.0642  0.0612  0.3438  0.14
Csalog 1996   37  0.7250  0.0041  0.1036  0.1035  0.0849  0.09
Czerny 1989   36  0.7244  0.0038  0.1135  0.1123  0.3627  0.20
Ezaki 2006   47  0.6745  0.0057  0.0460  0.0443  0.0657  0.05
Falvay 1989   4  0.7931  0.0011  0.127  0.5324  0.289  0.39
Fiorentino 1962   30  0.7356  0.0043  0.0557  0.0541  0.0661  0.05
Fliere 1977   3  0.803  0.062  0.213  0.671  0.732  0.70
Fou 1978   20  0.752  0.094  0.199  0.489  0.436  0.45
Francois 1956   46  0.6825  0.0046  0.0553  0.055  0.4535  0.15
Goldenweiser 1946   57  0.6259  0.0047  0.0555  0.0536  0.0755  0.06
Gornostaeva 1994   27  0.7533  0.0032  0.0732  0.1310  0.5425  0.26
Groot 1988   6  0.7828  0.0010  0.106  0.5522  0.2316  0.36
Hatto 1993   9  0.7819  0.0118  0.0915  0.3524  0.3318  0.34
Hatto 1997   13  0.7615  0.0121  0.0616  0.3327  0.2322  0.28
Horszowski 1983   41  0.7040  0.0037  0.0839  0.0824  0.2239  0.13
Indjic 2001   10  0.7730  0.0022  0.0918  0.3125  0.3020  0.30
Katin 1996   33  0.7338  0.0040  0.1134  0.1135  0.0848  0.09
Kiepura 1999   62  0.5857  0.0061  0.0362  0.0329  0.1354  0.06
Korecka 1992   21  0.7513  0.0133  0.0741  0.0710  0.4232  0.17
Kushner 1990   51  0.6616  0.019  0.1022  0.2614  0.5213  0.37
Lilamand 2001   61  0.5858  0.0059  0.0364  0.0345  0.0664  0.04
Luisada 1990   1  0.841  0.601  0.591  0.841  0.731  0.78
Luisada 2008   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   7  0.786  0.0212  0.1119  0.2818  0.4117  0.34
Malcuzynski 1951   60  0.604  0.0225  0.0630  0.1543  0.0550  0.09
Malcuzynski 1961   35  0.7234  0.008  0.1010  0.4819  0.348  0.40
Magaloff 1977   24  0.7537  0.0039  0.1133  0.1121  0.3230  0.19
Magin 1975   16  0.7618  0.0113  0.1011  0.4319  0.3112  0.37
Meguri 1997   49  0.6666  0.0058  0.0363  0.0346  0.0663  0.04
Milkina 1970   32  0.7353  0.0034  0.0840  0.0816  0.3333  0.16
Mohovich 1999   26  0.7510  0.0120  0.0721  0.2712  0.4914  0.36
Nezu 2005   11  0.7742  0.0015  0.1212  0.3917  0.4011  0.39
Ohlsson 1999   19  0.7622  0.0129  0.0628  0.1631  0.1142  0.13
Olejniczak 1990   23  0.7512  0.0136  0.0937  0.0919  0.3531  0.18
Osinska 1989   17  0.7621  0.0116  0.1013  0.3919  0.2419  0.31
Perlemuter 1992   52  0.6641  0.0051  0.0554  0.059  0.3440  0.13
Poblocka 1999   2  0.8123  0.003  0.242  0.675  0.543  0.60
Rangell 2001   59  0.6048  0.0063  0.0549  0.0552  0.0562  0.05
Richter 1960   38  0.7124  0.0044  0.0643  0.0625  0.2144  0.11
Richter 1961   40  0.7020  0.0142  0.0552  0.0520  0.3936  0.14
Rosen 1989   48  0.6662  0.0052  0.0548  0.0549  0.0560  0.05
Rubinstein 1939   39  0.708  0.0128  0.0624  0.1841  0.0647  0.10
Rubinstein 1952   31  0.7311  0.0123  0.0820  0.2832  0.1428  0.20
Rubinstein 1966   8  0.7814  0.015  0.135  0.5817  0.347  0.44
Rudanovskaya 2007   45  0.6839  0.0056  0.0646  0.0620  0.2543  0.12
Shebanova 2002   22  0.7532  0.0031  0.0727  0.1638  0.0845  0.11
Smith 1975   42  0.6943  0.0053  0.0551  0.0545  0.0658  0.05
Sztompka 1959   43  0.6861  0.0054  0.0644  0.0641  0.0656  0.06
Tanyel 1992   56  0.6365  0.0060  0.0458  0.0440  0.0659  0.05
Tsujii 2005   14  0.7654  0.0024  0.0623  0.2321  0.2924  0.26
Uninsky 1959   34  0.7235  0.0026  0.0629  0.1531  0.1834  0.16
Vardi 1988   53  0.6547  0.0049  0.0547  0.0520  0.3341  0.13
Wasowski 1980   18  0.765  0.027  0.088  0.526  0.584  0.55
Zimerman 1975   12  0.7717  0.0130  0.0826  0.1717  0.4523  0.28
Random 1   66  -0.0352  0.0065  0.0265  0.0249  0.0366  0.02
Random 2   65  -0.0263  0.0066  0.0166  0.0150  0.0365  0.02
Random 3   64  0.1146  0.0064  0.0459  0.047  0.4737  0.14

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).