Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   24  0.7910  0.0218  0.107  0.3643  0.0519  0.13
Ax 1995   47  0.7235  0.0051  0.0545  0.0548  0.0546  0.05
Bacha 1998   44  0.727  0.0513  0.0820  0.2240  0.0622  0.11
Barbosa 1983   59  0.6113  0.0253  0.0538  0.0550  0.0544  0.05
BenOr 1989   7  0.838  0.0311  0.083  0.4616  0.311  0.38
Biret 1990   11  0.8256  0.0032  0.0530  0.1058  0.0439  0.06
Brailowsky 1960   37  0.7715  0.0124  0.0726  0.1832  0.1315  0.15
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Clidat 1994   52  0.7031  0.0015  0.1018  0.2244  0.0623  0.11
Cohen 1997   46  0.7239  0.0058  0.0362  0.0331  0.1734  0.07
Cortot 1951   48  0.7165  0.0059  0.0458  0.0462  0.0365  0.03
Csalog 1996   29  0.786  0.065  0.0914  0.2832  0.1311  0.19
Czerny 1989   42  0.7332  0.0038  0.0536  0.0544  0.0540  0.05
Ezaki 2006   10  0.8216  0.0122  0.0728  0.1412  0.318  0.21
Falvay 1989   4  0.839  0.0314  0.0712  0.3435  0.0813  0.16
Fiorentino 1962   15  0.8259  0.0048  0.0452  0.0448  0.0560  0.04
Fliere 1977   19  0.8140  0.0017  0.0919  0.2243  0.0525  0.10
Fou 1978   39  0.7620  0.0119  0.0913  0.3228  0.166  0.23
Francois 1956   60  0.6041  0.0062  0.0363  0.0363  0.0366  0.03
Goldenweiser 1946   61  0.5914  0.0237  0.0453  0.0432  0.1035  0.06
Gornostaeva 1994   40  0.7566  0.0050  0.0537  0.0544  0.0547  0.05
Groot 1988   3  0.853  0.103  0.152  0.5132  0.134  0.26
Hatto 1993   9  0.834  0.094  0.106  0.3930  0.175  0.26
Hatto 1997   27  0.7930  0.007  0.108  0.3546  0.0616  0.14
Horszowski 1983   35  0.7727  0.0028  0.0627  0.1440  0.0724  0.10
Indjic 2001   18  0.8122  0.016  0.069  0.3531  0.139  0.21
Katin 1996   12  0.822  0.152  0.1410  0.3524  0.243  0.29
Kiepura 1999   62  0.5949  0.0060  0.0457  0.0450  0.0449  0.04
Korecka 1992   50  0.7148  0.0057  0.0451  0.0459  0.0362  0.03
Kushner 1990   57  0.6424  0.0154  0.0535  0.0549  0.0543  0.05
Lilamand 2001   56  0.6638  0.0052  0.0546  0.0522  0.3217  0.13
Luisada 1990   33  0.7855  0.0039  0.0543  0.0551  0.0456  0.04
Luisada 2008   8  0.8325  0.0120  0.1115  0.2840  0.0521  0.12
Lushtak 2004   13  0.8262  0.0021  0.0723  0.2059  0.0431  0.09
Malcuzynski 1951   63  0.4929  0.0055  0.0733  0.0760  0.0348  0.05
Malcuzynski 1961   43  0.735  0.0610  0.095  0.4139  0.0614  0.16
Magaloff 1977   5  0.8321  0.0116  0.094  0.4332  0.0910  0.20
Magin 1975   31  0.7833  0.0029  0.0729  0.1433  0.0726  0.10
Meguri 1997   14  0.8243  0.0033  0.0541  0.0530  0.1432  0.08
Milkina 1970   36  0.7737  0.0041  0.0547  0.0542  0.0541  0.05
Mohovich 1999   34  0.7718  0.0149  0.0544  0.0553  0.0459  0.04
Nezu 2005   17  0.8160  0.0034  0.0539  0.0557  0.0458  0.04
Ohlsson 1999   32  0.7826  0.019  0.0917  0.2646  0.0620  0.12
Olejniczak 1990   2  0.861  0.161  0.161  0.5427  0.222  0.34
Osinska 1989   38  0.7657  0.0045  0.0449  0.0446  0.0451  0.04
Perlemuter 1992   51  0.7046  0.0042  0.0454  0.0444  0.0450  0.04
Poblocka 1999   23  0.7917  0.0135  0.0540  0.0562  0.0452  0.04
Rangell 2001   30  0.7845  0.0044  0.0450  0.0424  0.1733  0.08
Richter 1960   54  0.6842  0.0056  0.0455  0.0459  0.0363  0.03
Richter 1961   55  0.6863  0.0061  0.0361  0.0357  0.0361  0.03
Rosen 1989   22  0.8036  0.0025  0.0824  0.1844  0.0628  0.10
Rubinstein 1939   53  0.6847  0.0046  0.0360  0.0344  0.0653  0.04
Rubinstein 1952   49  0.7128  0.0026  0.0921  0.2147  0.0529  0.10
Rubinstein 1966   21  0.8058  0.0040  0.0634  0.0641  0.0636  0.06
Rudanovskaya 2007   6  0.8319  0.0131  0.0532  0.0918  0.3612  0.18
Shebanova 2002   28  0.7912  0.028  0.0711  0.3556  0.0518  0.13
Smith 1975   1  0.8644  0.0012  0.0916  0.2829  0.187  0.22
Sztompka 1959   25  0.7954  0.0047  0.0456  0.0438  0.0742  0.05
Tanyel 1992   41  0.7461  0.0043  0.0459  0.0447  0.0557  0.04
Tsujii 2005   20  0.8111  0.0230  0.0531  0.1056  0.0437  0.06
Uninsky 1959   26  0.7951  0.0023  0.0622  0.2145  0.0527  0.10
Vardi 1988   58  0.6250  0.0063  0.0448  0.0458  0.0454  0.04
Wasowski 1980   45  0.7223  0.0127  0.0825  0.1848  0.0530  0.09
Zimerman 1975   16  0.8152  0.0036  0.0542  0.0541  0.0545  0.05
Random 1   66  -0.0653  0.0065  0.0265  0.0220  0.1838  0.06
Random 2   65  0.0434  0.0066  0.0166  0.0131  0.1455  0.04
Random 3   64  0.0564  0.0064  0.0364  0.0359  0.0364  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).