Tsujii 2005

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   39  0.745  0.052  0.119  0.499  0.519  0.50
Ax 1995   57  0.6837  0.0044  0.0462  0.0414  0.3544  0.12
Bacha 1998   48  0.7134  0.0048  0.0546  0.0535  0.1057  0.07
Barbosa 1983   61  0.6344  0.0053  0.0636  0.0627  0.2248  0.11
BenOr 1989   16  0.8122  0.0119  0.0813  0.446  0.637  0.53
Biret 1990   1  0.838  0.025  0.162  0.615  0.593  0.60
Brailowsky 1960   55  0.6948  0.0057  0.0459  0.0432  0.1456  0.07
Chiu 1999   44  0.7313  0.0145  0.0458  0.0425  0.1654  0.08
Clidat 1994   50  0.7040  0.0038  0.0543  0.0521  0.4236  0.14
Cohen 1997   63  0.6149  0.0055  0.0457  0.0411  0.5138  0.14
Cortot 1951   49  0.7138  0.0054  0.0638  0.061  0.5433  0.18
Csalog 1996   21  0.809  0.0228  0.0725  0.2519  0.3923  0.31
Czerny 1989   46  0.7262  0.0046  0.0460  0.0424  0.3443  0.12
Ezaki 2006   37  0.7559  0.0056  0.0448  0.0410  0.3941  0.12
Falvay 1989   2  0.8310  0.0213  0.114  0.5917  0.3913  0.48
Fiorentino 1962   3  0.832  0.108  0.1110  0.463  0.616  0.53
Fliere 1977   22  0.7956  0.0040  0.0461  0.0425  0.2052  0.09
Fou 1978   42  0.7339  0.0020  0.0924  0.2720  0.2431  0.25
Francois 1956   54  0.6945  0.0062  0.0452  0.0427  0.1855  0.08
Goldenweiser 1946   51  0.7030  0.0049  0.0447  0.0416  0.3046  0.11
Gornostaeva 1994   43  0.7328  0.0050  0.0541  0.0518  0.4139  0.14
Groot 1988   4  0.8211  0.0214  0.0917  0.3927  0.1830  0.26
Hatto 1993   29  0.7833  0.0042  0.0542  0.0538  0.0860  0.06
Hatto 1997   31  0.7817  0.0136  0.0735  0.0731  0.1350  0.10
Horszowski 1983   59  0.6765  0.0047  0.0456  0.0452  0.0563  0.04
Indjic 2001   26  0.7857  0.0041  0.0453  0.0444  0.0762  0.05
Katin 1996   6  0.8214  0.0129  0.0822  0.2820  0.3225  0.30
Kiepura 1999   62  0.6363  0.0059  0.0451  0.0423  0.2151  0.09
Korecka 1992   40  0.7446  0.0052  0.0449  0.0422  0.2947  0.11
Kushner 1990   47  0.7131  0.0017  0.0920  0.319  0.5517  0.41
Lilamand 2001   58  0.6764  0.0058  0.0463  0.0418  0.3049  0.11
Luisada 1990   5  0.821  0.371  0.371  0.664  0.602  0.63
Luisada 2008   34  0.7647  0.0024  0.0821  0.2923  0.2328  0.26
Lushtak 2004   17  0.8132  0.0015  0.0814  0.426  0.5712  0.49
Malcuzynski 1951   60  0.6524  0.0135  0.0637  0.0618  0.2545  0.12
Malcuzynski 1961   52  0.7043  0.0037  0.0734  0.0748  0.0659  0.06
Magaloff 1977   10  0.8116  0.0121  0.0818  0.354  0.5715  0.45
Magin 1975   32  0.7826  0.0122  0.0927  0.2517  0.3227  0.28
Meguri 1997   24  0.7952  0.0032  0.1130  0.214  0.6220  0.36
Milkina 1970   38  0.7553  0.0051  0.0450  0.0431  0.1058  0.06
Mohovich 1999   28  0.7812  0.0127  0.0626  0.2520  0.2829  0.26
Nezu 2005   19  0.803  0.086  0.127  0.523  0.605  0.56
Ohlsson 1999   20  0.806  0.0518  0.0823  0.2822  0.3226  0.30
Olejniczak 1990   13  0.8141  0.0031  0.0929  0.2315  0.4324  0.31
Osinska 1989   8  0.8225  0.0110  0.128  0.5014  0.3218  0.40
Perlemuter 1992   41  0.7354  0.0060  0.0544  0.0514  0.2842  0.12
Poblocka 1999   9  0.8251  0.0023  0.0715  0.4219  0.3319  0.37
Rangell 2001   18  0.8020  0.0130  0.0928  0.241  0.8016  0.44
Richter 1960   25  0.797  0.0433  0.0733  0.0715  0.3635  0.16
Richter 1961   56  0.6858  0.0061  0.0545  0.0531  0.1453  0.08
Rosen 1989   12  0.8121  0.0116  0.0816  0.425  0.608  0.50
Rubinstein 1939   23  0.7955  0.009  0.1012  0.469  0.5310  0.49
Rubinstein 1952   36  0.7635  0.0012  0.1019  0.3517  0.3022  0.32
Rubinstein 1966   7  0.8218  0.014  0.155  0.5811  0.4111  0.49
Rudanovskaya 2007   30  0.7842  0.0039  0.0455  0.049  0.5137  0.14
Shebanova 2002   11  0.814  0.067  0.123  0.607  0.584  0.59
Smith 1975   27  0.7836  0.0043  0.0454  0.0412  0.4540  0.13
Sztompka 1959   53  0.7061  0.0063  0.0540  0.0549  0.0561  0.05
Tanyel 1992   14  0.8115  0.013  0.126  0.561  0.831  0.68
Tsujii 2005   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Uninsky 1959   15  0.8123  0.0111  0.1011  0.4610  0.4714  0.46
Vardi 1988   45  0.7219  0.0126  0.0732  0.171  0.6621  0.33
Wasowski 1980   35  0.7629  0.0025  0.0831  0.1821  0.3332  0.24
Zimerman 1975   33  0.7727  0.0034  0.0539  0.0510  0.5634  0.17
Random 1   66  -0.0460  0.0066  0.0166  0.0154  0.0366  0.02
Random 2   65  0.0266  0.0065  0.0265  0.0237  0.0664  0.03
Random 3   64  0.0350  0.0064  0.0364  0.0350  0.0365  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).