Korecka 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   22  0.5819  0.0028  0.1023  0.3461  0.0528  0.13
Ax 1995   14  0.604  0.0214  0.1610  0.5137  0.097  0.21
Bacha 1998   49  0.4943  0.0045  0.0643  0.0639  0.0638  0.06
Barbosa 1983   44  0.516  0.0219  0.0931  0.1861  0.0433  0.08
BenOr 1989   7  0.615  0.025  0.174  0.6437  0.083  0.23
Biret 1990   31  0.5632  0.0031  0.1029  0.2147  0.0629  0.11
Brailowsky 1960   20  0.5810  0.019  0.1315  0.4849  0.0612  0.17
Chiu 1999   59  0.4142  0.0062  0.0459  0.0462  0.0459  0.04
Clidat 1994   34  0.5434  0.0036  0.0833  0.0863  0.0440  0.06
Cohen 1997   58  0.4314  0.0157  0.0461  0.0460  0.0464  0.04
Cortot 1951   63  0.3857  0.0061  0.0362  0.0348  0.0466  0.03
Csalog 1996   16  0.5941  0.0020  0.0822  0.3739  0.0714  0.16
Czerny 1989   42  0.5212  0.0143  0.0645  0.0643  0.0547  0.05
Ezaki 2006   3  0.672  0.133  0.383  0.6942  0.074  0.22
Falvay 1989   17  0.5939  0.0016  0.1213  0.4849  0.0517  0.15
Fiorentino 1962   27  0.5617  0.0027  0.1125  0.3247  0.0720  0.15
Fliere 1977   37  0.5350  0.0037  0.0740  0.0760  0.0445  0.05
Fou 1978   29  0.5625  0.0026  0.0918  0.4237  0.0811  0.18
Francois 1956   56  0.4556  0.0051  0.0556  0.0550  0.0558  0.05
Goldenweiser 1946   53  0.4755  0.0053  0.0648  0.0631  0.1132  0.08
Gornostaeva 1994   60  0.4133  0.0044  0.0551  0.0553  0.0555  0.05
Groot 1988   19  0.5911  0.0115  0.1111  0.5060  0.0424  0.14
Hatto 1993   18  0.5922  0.0025  0.1220  0.4158  0.0525  0.14
Hatto 1997   15  0.6058  0.0024  0.0819  0.4160  0.0522  0.14
Horszowski 1983   54  0.4663  0.0059  0.0460  0.0433  0.0644  0.05
Indjic 2001   13  0.6060  0.0022  0.0821  0.4057  0.0523  0.14
Katin 1996   40  0.5253  0.0046  0.0552  0.0563  0.0460  0.04
Kiepura 1999   26  0.5713  0.0121  0.0727  0.3243  0.0716  0.15
Korecka 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1990   33  0.5536  0.0033  0.0646  0.0656  0.0448  0.05
Lilamand 2001   46  0.5030  0.0049  0.0550  0.0561  0.0462  0.04
Luisada 1990   41  0.529  0.0139  0.0738  0.0746  0.0736  0.07
Luisada 2008   48  0.5051  0.0048  0.0557  0.0548  0.0650  0.05
Lushtak 2004   32  0.5529  0.0038  0.0837  0.0858  0.0441  0.06
Malcuzynski 1951   11  0.6052  0.0011  0.139  0.5150  0.0613  0.17
Malcuzynski 1961   21  0.5845  0.008  0.1614  0.4837  0.089  0.20
Magaloff 1977   57  0.4420  0.0058  0.0458  0.0447  0.0652  0.05
Magin 1975   1  0.693  0.122  0.421  0.7423  0.322  0.49
Meguri 1997   52  0.4737  0.0052  0.0555  0.0558  0.0461  0.04
Milkina 1970   28  0.5621  0.0023  0.0924  0.3356  0.0526  0.13
Mohovich 1999   12  0.6046  0.0018  0.1716  0.4461  0.0519  0.15
Nezu 2005   25  0.5747  0.0029  0.0828  0.2853  0.0627  0.13
Ohlsson 1999   36  0.5344  0.0030  0.1030  0.1962  0.0431  0.09
Olejniczak 1990   4  0.6415  0.016  0.176  0.5946  0.0710  0.20
Osinska 1989   5  0.6318  0.007  0.207  0.5643  0.078  0.20
Perlemuter 1992   43  0.5235  0.0047  0.0647  0.0646  0.0546  0.05
Poblocka 1999   8  0.6131  0.0012  0.1312  0.4933  0.095  0.21
Rangell 2001   30  0.5623  0.0035  0.0742  0.0758  0.0456  0.05
Richter 1960   62  0.3926  0.0063  0.0649  0.0661  0.0449  0.05
Richter 1961   61  0.4038  0.0060  0.0363  0.0361  0.0465  0.03
Rosen 1989   38  0.5316  0.0042  0.0836  0.0853  0.0543  0.06
Rubinstein 1939   55  0.4662  0.0056  0.0644  0.0647  0.0637  0.06
Rubinstein 1952   45  0.5140  0.0041  0.0739  0.0763  0.0457  0.05
Rubinstein 1966   39  0.5224  0.0040  0.0834  0.0843  0.0735  0.07
Rudanovskaya 2007   51  0.4849  0.0055  0.0553  0.0541  0.0654  0.05
Shebanova 2002   47  0.5065  0.0050  0.0554  0.0550  0.0651  0.05
Smith 1975   35  0.5461  0.0017  0.1226  0.3245  0.0718  0.15
Sztompka 1959   2  0.691  0.511  0.512  0.742  0.621  0.68
Tanyel 1992   9  0.6066  0.0013  0.1417  0.4351  0.0615  0.16
Tsujii 2005   23  0.5864  0.0034  0.0741  0.0755  0.0642  0.06
Uninsky 1959   10  0.607  0.0210  0.118  0.5261  0.0421  0.14
Vardi 1988   50  0.4928  0.0054  0.0835  0.0861  0.0539  0.06
Wasowski 1980   24  0.5827  0.0032  0.0932  0.1747  0.0630  0.10
Zimerman 1975   6  0.638  0.014  0.185  0.6241  0.076  0.21
Random 1   66  -0.0559  0.0066  0.0166  0.0124  0.1463  0.04
Random 2   64  0.0048  0.0064  0.0264  0.0228  0.1453  0.05
Random 3   65  -0.0154  0.0065  0.0265  0.0214  0.3034  0.08

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).