Katin 1996

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   11  0.8714  0.0210  0.1310  0.5115  0.3414  0.42
Ax 1995   59  0.7059  0.0057  0.0362  0.0352  0.0562  0.04
Bacha 1998   19  0.8644  0.0020  0.0918  0.3620  0.4116  0.38
Barbosa 1983   53  0.726  0.0241  0.0648  0.0631  0.1339  0.09
BenOr 1989   28  0.8524  0.0132  0.0831  0.1621  0.2029  0.18
Biret 1990   10  0.8817  0.0116  0.1012  0.4823  0.2817  0.37
Brailowsky 1960   14  0.8760  0.009  0.1013  0.473  0.548  0.50
Chiu 1999   35  0.8248  0.0017  0.0825  0.2411  0.3523  0.29
Clidat 1994   21  0.8629  0.006  0.1414  0.4611  0.587  0.52
Cohen 1997   56  0.7112  0.0253  0.0456  0.0423  0.3635  0.12
Cortot 1951   54  0.7261  0.0055  0.0460  0.0459  0.0365  0.03
Csalog 1996   25  0.8626  0.0130  0.0528  0.187  0.5022  0.30
Czerny 1989   60  0.6955  0.0056  0.0365  0.0350  0.0463  0.03
Ezaki 2006   46  0.7849  0.0060  0.0457  0.0447  0.0556  0.04
Falvay 1989   4  0.9113  0.025  0.174  0.573  0.553  0.56
Fiorentino 1962   5  0.8915  0.0113  0.0811  0.495  0.5210  0.50
Fliere 1977   6  0.8965  0.0015  0.1115  0.4511  0.4511  0.45
Fou 1978   49  0.7828  0.0040  0.0836  0.0835  0.0840  0.08
Francois 1956   61  0.6758  0.0063  0.0461  0.0460  0.0366  0.03
Goldenweiser 1946   63  0.6056  0.0062  0.0553  0.0542  0.0747  0.06
Gornostaeva 1994   42  0.8038  0.0043  0.0647  0.0637  0.0651  0.06
Groot 1988   3  0.912  0.102  0.243  0.623  0.572  0.59
Hatto 1993   8  0.8822  0.018  0.236  0.547  0.555  0.54
Hatto 1997   18  0.864  0.084  0.175  0.547  0.544  0.54
Horszowski 1983   58  0.7041  0.0047  0.0839  0.0850  0.0643  0.07
Indjic 2001   13  0.8731  0.007  0.137  0.537  0.536  0.53
Katin 1996   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kiepura 1999   57  0.7052  0.0054  0.0459  0.0434  0.0846  0.06
Korecka 1992   47  0.7850  0.0051  0.0744  0.0742  0.0648  0.06
Kushner 1990   55  0.7234  0.0046  0.0650  0.0646  0.0553  0.05
Lilamand 2001   64  0.5839  0.0064  0.0454  0.0450  0.0559  0.04
Luisada 1990   32  0.8433  0.0039  0.1232  0.1240  0.0542  0.08
Luisada 2008   31  0.8451  0.0036  0.0741  0.0734  0.0941  0.08
Lushtak 2004   16  0.8727  0.0135  0.0840  0.0823  0.2433  0.14
Malcuzynski 1951   62  0.6466  0.0052  0.0646  0.0656  0.0454  0.05
Malcuzynski 1961   48  0.7840  0.0031  0.0630  0.1635  0.0837  0.11
Magaloff 1977   41  0.8035  0.0049  0.0837  0.0845  0.0645  0.07
Magin 1975   29  0.859  0.0238  0.0935  0.0933  0.1336  0.11
Meguri 1997   51  0.7620  0.0159  0.0363  0.0350  0.0558  0.04
Milkina 1970   44  0.7953  0.0048  0.0743  0.0746  0.0549  0.06
Mohovich 1999   22  0.868  0.0225  0.0820  0.307  0.5913  0.42
Nezu 2005   36  0.8221  0.0128  0.0629  0.1828  0.1928  0.18
Ohlsson 1999   1  0.931  0.351  0.342  0.652  0.591  0.62
Olejniczak 1990   27  0.8537  0.0034  0.0552  0.0536  0.0655  0.05
Osinska 1989   33  0.845  0.0629  0.0633  0.1133  0.0838  0.09
Perlemuter 1992   38  0.8142  0.0045  0.0551  0.0551  0.0457  0.04
Poblocka 1999   7  0.8819  0.0114  0.108  0.5115  0.3412  0.42
Rangell 2001   50  0.7757  0.0058  0.0364  0.0343  0.0464  0.03
Richter 1960   24  0.8610  0.0223  0.0922  0.2711  0.4519  0.35
Richter 1961   39  0.8145  0.0042  0.0742  0.0718  0.4030  0.17
Rosen 1989   40  0.817  0.0212  0.0821  0.3022  0.2125  0.25
Rubinstein 1939   26  0.8563  0.0018  0.0916  0.4416  0.3515  0.39
Rubinstein 1952   43  0.8062  0.0026  0.0826  0.2233  0.1132  0.16
Rubinstein 1966   20  0.8618  0.0122  0.0817  0.4034  0.0927  0.19
Rudanovskaya 2007   15  0.8747  0.0033  0.0534  0.103  0.5926  0.24
Shebanova 2002   17  0.8716  0.0111  0.129  0.519  0.499  0.50
Smith 1975   30  0.8430  0.0021  0.0823  0.2519  0.3024  0.27
Sztompka 1959   37  0.8254  0.0044  0.0645  0.0648  0.0552  0.05
Tanyel 1992   52  0.7532  0.0061  0.0455  0.0447  0.0560  0.04
Tsujii 2005   9  0.8825  0.0124  0.0927  0.1928  0.1431  0.16
Uninsky 1959   23  0.8623  0.0119  0.0719  0.3224  0.2821  0.30
Vardi 1988   45  0.7836  0.0050  0.0649  0.0625  0.2434  0.12
Wasowski 1980   34  0.8346  0.0037  0.0838  0.0842  0.0644  0.07
Zimerman 1975   12  0.8711  0.0227  0.0824  0.249  0.4320  0.32
Average   2  0.933  0.083  0.261  0.7730  0.1718  0.36
Random 1   67  -0.1464  0.0067  0.0167  0.0157  0.0367  0.02
Random 2   66  0.0667  0.0066  0.0266  0.0228  0.2050  0.06
Random 3   65  0.1743  0.0065  0.0458  0.0442  0.0461  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).