Korecka 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.1830  0.0022  0.0824  0.4240  0.0619  0.16
Ax 1995   57  0.3940  0.0029  0.1227  0.3555  0.0430  0.12
Bacha 1998   28  0.5127  0.0017  0.2018  0.5017  0.338  0.41
Barbosa 1983   50  0.4213  0.016  0.218  0.6728  0.286  0.43
BenOr 1989   37  0.4741  0.0042  0.0641  0.0654  0.0443  0.05
Biret 1990   42  0.4739  0.0041  0.0645  0.0651  0.0544  0.05
Brailowsky 1960   56  0.3949  0.0030  0.1030  0.2634  0.0920  0.15
Chiu 1999   21  0.5424  0.0027  0.0826  0.3637  0.0718  0.16
Clidat 1994   53  0.4125  0.0046  0.0735  0.0758  0.0441  0.05
Cohen 1997   62  0.3533  0.0045  0.0737  0.0737  0.0935  0.08
Cortot 1951   5  0.6112  0.0119  0.1020  0.4520  0.2212  0.31
Csalog 1996   25  0.5350  0.0034  0.0736  0.0762  0.0340  0.05
Czerny 1989   33  0.4934  0.0021  0.0823  0.4255  0.0526  0.14
Ezaki 2006   54  0.4044  0.0051  0.0643  0.0662  0.0438  0.05
Falvay 1989   7  0.5919  0.0020  0.1316  0.5258  0.0424  0.14
Fiorentino 1962   8  0.598  0.038  0.2812  0.6131  0.1710  0.32
Fliere 1977   18  0.5632  0.0015  0.1914  0.5845  0.0615  0.19
Fou 1978   15  0.5748  0.0012  0.1815  0.5846  0.0616  0.19
Francois 1956   34  0.4829  0.0056  0.0549  0.0545  0.0547  0.05
Goldenweiser 1946   22  0.5328  0.0028  0.1028  0.3243  0.0623  0.14
Gornostaeva 1994   27  0.516  0.049  0.1611  0.614  0.673  0.64
Groot 1988   38  0.4756  0.0047  0.0934  0.0964  0.0345  0.05
Hatto 1993   3  0.639  0.0210  0.216  0.6929  0.229  0.39
Hatto 1997   4  0.6214  0.0113  0.249  0.6648  0.0517  0.18
Horszowski 1983   44  0.4626  0.0031  0.1231  0.2558  0.0432  0.10
Indjic 2001   2  0.657  0.0311  0.307  0.6933  0.1411  0.31
Katin 1996   20  0.5438  0.0032  0.1032  0.2153  0.0533  0.10
Kiepura 1999   9  0.591  0.341  0.342  0.753  0.721  0.73
Korecka 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1990   58  0.3858  0.0050  0.0644  0.0662  0.0352  0.04
Lilamand 2001   52  0.4151  0.0059  0.0457  0.0462  0.0260  0.03
Luisada 1990   31  0.5042  0.0023  0.0825  0.4260  0.0428  0.13
Luisada 2008   39  0.4721  0.0036  0.0639  0.0640  0.0637  0.06
Lushtak 2004   23  0.5354  0.0025  0.1222  0.4355  0.0429  0.13
Malcuzynski 1951   40  0.4715  0.0135  0.0738  0.0733  0.1234  0.09
Malcuzynski 1961   35  0.4716  0.0143  0.0550  0.0564  0.0351  0.04
Magaloff 1977   43  0.4747  0.0048  0.0548  0.0563  0.0355  0.04
Magin 1975   10  0.594  0.075  0.165  0.6931  0.247  0.41
Meguri 1997   30  0.5152  0.0052  0.0459  0.0450  0.0553  0.04
Milkina 1970   24  0.5318  0.0137  0.0547  0.0565  0.0259  0.03
Mohovich 1999   12  0.5811  0.0116  0.1613  0.5857  0.0422  0.15
Nezu 2005   16  0.5657  0.0040  0.0646  0.0663  0.0356  0.04
Ohlsson 1999   36  0.4753  0.0039  0.0642  0.0657  0.0439  0.05
Olejniczak 1990   19  0.5445  0.0038  0.0640  0.0655  0.0446  0.05
Osinska 1989   26  0.5259  0.0053  0.0458  0.0461  0.0448  0.04
Perlemuter 1992   48  0.4346  0.0062  0.0460  0.0458  0.0358  0.03
Poblocka 1999   41  0.4736  0.0057  0.0554  0.0561  0.0349  0.04
Rangell 2001   59  0.3767  0.0063  0.0362  0.0365  0.0264  0.02
Richter 1960   51  0.4263  0.0061  0.0363  0.0364  0.0361  0.03
Richter 1961   13  0.5810  0.027  0.2310  0.6513  0.525  0.58
Rosen 1989   55  0.4043  0.0066  0.0264  0.0267  0.0167  0.01
Rubinstein 1939   29  0.5135  0.0014  0.1817  0.5251  0.0425  0.14
Rubinstein 1952   49  0.4360  0.0049  0.0552  0.0560  0.0457  0.04
Rubinstein 1966   45  0.4620  0.0026  0.0929  0.3260  0.0431  0.11
Rudanovskaya 2007   14  0.5764  0.0033  0.0733  0.1455  0.0436  0.07
Shebanova 2002   46  0.4517  0.0155  0.0555  0.0564  0.0354  0.04
Smith 1975   60  0.3765  0.0065  0.0266  0.0267  0.0166  0.01
Sztompka 1959   32  0.4922  0.0024  0.1121  0.4434  0.1013  0.21
Tanyel 1992   61  0.3662  0.0054  0.0456  0.0449  0.0642  0.05
Tsujii 2005   11  0.5831  0.0018  0.1319  0.4960  0.0427  0.14
Uninsky 1959   47  0.4366  0.0058  0.0553  0.0565  0.0350  0.04
Vardi 1988   17  0.565  0.064  0.224  0.7415  0.524  0.62
Wasowski 1980   63  0.2861  0.0067  0.0167  0.0167  0.0165  0.01
Zimerman 1975   6  0.593  0.102  0.273  0.757  0.632  0.69
Average   1  0.702  0.193  0.201  0.7958  0.0514  0.20
Random 1   65  0.0823  0.0044  0.0551  0.055  0.4421  0.15
Random 2   67  -0.0355  0.0064  0.0265  0.0263  0.0263  0.02
Random 3   66  -0.0237  0.0060  0.0361  0.0351  0.0362  0.03

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).