Meguri 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   46  0.5527  0.0023  0.0827  0.2032  0.1817  0.19
Ax 1995   41  0.5624  0.0045  0.0637  0.0663  0.0561  0.05
Bacha 1998   18  0.6144  0.0028  0.0732  0.1329  0.1820  0.15
Barbosa 1983   34  0.5623  0.0015  0.159  0.3931  0.267  0.32
BenOr 1989   22  0.609  0.0210  0.097  0.4044  0.0719  0.17
Biret 1990   30  0.5738  0.0051  0.0639  0.0641  0.0752  0.06
Brailowsky 1960   61  0.4834  0.0059  0.0363  0.0358  0.0564  0.04
Chiu 1999   7  0.662  0.086  0.0914  0.3420  0.452  0.39
Clidat 1994   44  0.5542  0.0022  0.0624  0.2331  0.2411  0.23
Cohen 1997   57  0.5119  0.0163  0.0547  0.0526  0.2533  0.11
Cortot 1951   64  0.4322  0.0064  0.0638  0.0631  0.1439  0.09
Csalog 1996   24  0.5945  0.0042  0.0544  0.0538  0.0746  0.06
Czerny 1989   15  0.6259  0.0025  0.0923  0.2340  0.0629  0.12
Ezaki 2006   11  0.6316  0.0121  0.0812  0.3728  0.268  0.31
Falvay 1989   5  0.6635  0.005  0.118  0.4055  0.0524  0.14
Fiorentino 1962   35  0.5626  0.0035  0.0736  0.0760  0.0551  0.06
Fliere 1977   39  0.5640  0.0038  0.0457  0.0441  0.0755  0.05
Fou 1978   20  0.6146  0.0018  0.0819  0.2856  0.0528  0.12
Francois 1956   14  0.6318  0.0113  0.0918  0.3331  0.1416  0.21
Goldenweiser 1946   37  0.566  0.0412  0.1021  0.2713  0.454  0.35
Gornostaeva 1994   56  0.5132  0.0029  0.0829  0.1725  0.3112  0.23
Groot 1988   4  0.6610  0.027  0.106  0.4034  0.1115  0.21
Hatto 1993   17  0.6155  0.0019  0.0815  0.3451  0.0626  0.14
Hatto 1997   12  0.6347  0.0016  0.1110  0.3850  0.0622  0.15
Horszowski 1983   26  0.5839  0.0060  0.0455  0.0415  0.3330  0.11
Indjic 2001   13  0.6356  0.0017  0.0813  0.3652  0.0623  0.15
Katin 1996   33  0.5666  0.0049  0.0553  0.0562  0.0558  0.05
Kiepura 1999   59  0.5036  0.0057  0.0456  0.0451  0.0463  0.04
Korecka 1992   62  0.4757  0.0062  0.0459  0.0456  0.0565  0.04
Kushner 1990   58  0.5049  0.0058  0.0364  0.0353  0.0466  0.03
Lilamand 2001   49  0.5462  0.0055  0.0460  0.0432  0.1242  0.07
Luisada 1990   55  0.5152  0.0053  0.0462  0.0445  0.0759  0.05
Luisada 2008   54  0.5248  0.0054  0.0461  0.0438  0.0848  0.06
Lushtak 2004   8  0.658  0.023  0.302  0.6425  0.271  0.42
Malcuzynski 1951   29  0.5750  0.0031  0.0728  0.1846  0.0635  0.10
Malcuzynski 1961   50  0.5425  0.0030  0.0630  0.1654  0.0537  0.09
Magaloff 1977   27  0.5833  0.0027  0.1125  0.2229  0.2214  0.22
Magin 1975   48  0.5560  0.0052  0.0552  0.0557  0.0657  0.05
Meguri 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Milkina 1970   23  0.5963  0.0036  0.0934  0.0951  0.0641  0.07
Mohovich 1999   28  0.587  0.0233  0.0633  0.1250  0.0640  0.08
Nezu 2005   21  0.6054  0.0024  0.0622  0.2445  0.0825  0.14
Ohlsson 1999   6  0.6631  0.0014  0.1016  0.3438  0.0721  0.15
Olejniczak 1990   53  0.5237  0.0050  0.0551  0.0552  0.0662  0.05
Osinska 1989   51  0.5412  0.0132  0.0631  0.1350  0.0734  0.10
Perlemuter 1992   40  0.5614  0.0161  0.0545  0.0525  0.1836  0.09
Poblocka 1999   25  0.5961  0.0034  0.0543  0.0554  0.0656  0.05
Rangell 2001   10  0.6411  0.024  0.1111  0.3826  0.353  0.36
Richter 1960   63  0.4515  0.0140  0.0550  0.0528  0.2432  0.11
Richter 1961   60  0.4930  0.0041  0.0549  0.0527  0.2727  0.12
Rosen 1989   38  0.5628  0.0039  0.0458  0.0433  0.1938  0.09
Rubinstein 1939   31  0.5751  0.0047  0.0642  0.0653  0.0645  0.06
Rubinstein 1952   43  0.5621  0.0044  0.0546  0.0540  0.0753  0.06
Rubinstein 1966   45  0.5541  0.0048  0.0735  0.0755  0.0547  0.06
Rudanovskaya 2007   16  0.6213  0.0120  0.0720  0.2819  0.455  0.35
Shebanova 2002   19  0.6117  0.0126  0.1017  0.3327  0.219  0.26
Smith 1975   32  0.5753  0.0037  0.0548  0.0541  0.0844  0.06
Sztompka 1959   47  0.554  0.0711  0.1026  0.2052  0.0631  0.11
Tanyel 1992   42  0.5620  0.0143  0.0640  0.0644  0.0750  0.06
Tsujii 2005   2  0.693  0.072  0.293  0.5932  0.216  0.35
Uninsky 1959   3  0.675  0.049  0.135  0.4446  0.0718  0.18
Vardi 1988   9  0.6529  0.008  0.104  0.4534  0.1113  0.22
Wasowski 1980   52  0.5343  0.0056  0.0554  0.0555  0.0554  0.05
Zimerman 1975   36  0.5665  0.0046  0.0641  0.0656  0.0560  0.05
Average   1  0.711  0.461  0.451  0.7541  0.0810  0.24
Random 1   66  -0.0364  0.0066  0.0266  0.0218  0.2243  0.07
Random 2   65  -0.0267  0.0065  0.0265  0.0223  0.1949  0.06
Random 3   67  -0.0758  0.0067  0.0167  0.0150  0.0467  0.02

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).