Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   15  0.7423  0.006  0.149  0.4358  0.0425  0.13
Ax 1995   10  0.7717  0.0119  0.0911  0.3837  0.0816  0.17
Bacha 1998   52  0.6142  0.0053  0.0452  0.0457  0.0461  0.04
Barbosa 1983   61  0.4658  0.0052  0.0457  0.0452  0.0564  0.04
BenOr 1989   62  0.4322  0.0063  0.0639  0.0664  0.0451  0.05
Biret 1990   43  0.6430  0.0048  0.0642  0.0664  0.0452  0.05
Brailowsky 1960   11  0.7652  0.0014  0.1117  0.3214  0.336  0.32
Chiu 1999   41  0.6520  0.0128  0.0932  0.1838  0.0633  0.10
Clidat 1994   16  0.7465  0.0021  0.1023  0.2853  0.0624  0.13
Cohen 1997   51  0.6162  0.0050  0.0458  0.0417  0.4026  0.13
Cortot 1951   64  0.2434  0.0064  0.0449  0.0439  0.0654  0.05
Csalog 1996   2  0.8311  0.022  0.196  0.478  0.423  0.44
Czerny 1989   19  0.7339  0.0027  0.0827  0.2533  0.1017  0.16
Ezaki 2006   22  0.7338  0.0037  0.0641  0.0660  0.0441  0.05
Falvay 1989   37  0.696  0.048  0.1021  0.2929  0.1610  0.22
Fiorentino 1962   17  0.7414  0.0126  0.0920  0.3064  0.0432  0.11
Fliere 1977   1  0.841  0.321  0.321  0.6814  0.482  0.57
Fou 1978   50  0.6154  0.0049  0.0451  0.0460  0.0560  0.04
Francois 1956   34  0.697  0.0330  0.0826  0.2623  0.387  0.31
Goldenweiser 1946   59  0.518  0.0345  0.0453  0.0431  0.1737  0.08
Gornostaeva 1994   63  0.4240  0.0061  0.0459  0.0460  0.0467  0.04
Groot 1988   18  0.7410  0.029  0.1010  0.4044  0.0522  0.14
Hatto 1993   36  0.6963  0.0040  0.0643  0.0661  0.0453  0.05
Hatto 1997   35  0.6956  0.0043  0.0638  0.0662  0.0447  0.05
Horszowski 1983   39  0.6750  0.0051  0.0460  0.0456  0.0557  0.04
Indjic 2001   33  0.6966  0.0042  0.0640  0.0662  0.0450  0.05
Katin 1996   30  0.7061  0.0039  0.0737  0.0759  0.0444  0.05
Kiepura 1999   60  0.4725  0.0059  0.0364  0.0347  0.0556  0.04
Korecka 1992   55  0.5732  0.0062  0.0450  0.0449  0.0562  0.04
Kushner 1990   58  0.5164  0.0046  0.0462  0.0459  0.0463  0.04
Lilamand 2001   48  0.6233  0.0041  0.0547  0.0537  0.0546  0.05
Luisada 1990   53  0.5836  0.0044  0.0548  0.0553  0.0548  0.05
Luisada 2008   56  0.5648  0.0058  0.0461  0.0457  0.0465  0.04
Lushtak 2004   38  0.6835  0.0035  0.0934  0.0939  0.0638  0.07
Malcuzynski 1951   27  0.7215  0.0115  0.0918  0.3248  0.0527  0.13
Malcuzynski 1961   46  0.6444  0.0024  0.0830  0.2147  0.0534  0.10
Magaloff 1977   49  0.6246  0.0057  0.0456  0.0454  0.0466  0.04
Magin 1975   47  0.6351  0.0056  0.0455  0.0436  0.0642  0.05
Meguri 1997   54  0.5721  0.0134  0.0836  0.0851  0.0540  0.06
Milkina 1970   7  0.799  0.0318  0.117  0.4640  0.0615  0.17
Mohovich 1999   3  0.8218  0.013  0.234  0.5428  0.205  0.33
Nezu 2005   45  0.6427  0.0031  0.0928  0.2247  0.0631  0.11
Ohlsson 1999   14  0.7413  0.0129  0.0829  0.2129  0.1813  0.19
Olejniczak 1990   40  0.6541  0.0047  0.0454  0.0439  0.0655  0.05
Osinska 1989   20  0.7319  0.0122  0.1114  0.3344  0.0620  0.14
Perlemuter 1992   42  0.6553  0.0060  0.0363  0.0337  0.0659  0.04
Poblocka 1999   12  0.7545  0.0023  0.1224  0.2846  0.0528  0.12
Rangell 2001   28  0.7131  0.0038  0.0835  0.0841  0.0639  0.07
Richter 1960   29  0.7126  0.0020  0.1016  0.3225  0.298  0.30
Richter 1961   21  0.7343  0.0016  0.1212  0.3732  0.1211  0.21
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   6  0.805  0.0410  0.095  0.4725  0.254  0.34
Rubinstein 1952   31  0.7012  0.0212  0.1215  0.3236  0.0719  0.15
Rubinstein 1966   25  0.733  0.0911  0.0825  0.2737  0.0721  0.14
Rudanovskaya 2007   9  0.782  0.125  0.173  0.561  0.621  0.59
Shebanova 2002   8  0.7959  0.0017  0.1713  0.3655  0.0523  0.13
Smith 1975   26  0.7216  0.0133  0.0933  0.1726  0.2212  0.19
Sztompka 1959   44  0.6467  0.0055  0.0545  0.0543  0.0545  0.05
Tanyel 1992   13  0.7524  0.0013  0.0619  0.3135  0.1014  0.18
Tsujii 2005   4  0.824  0.074  0.152  0.6231  0.129  0.27
Uninsky 1959   24  0.7337  0.0036  0.0644  0.0647  0.0543  0.05
Vardi 1988   23  0.7328  0.0025  0.0822  0.2956  0.0430  0.11
Wasowski 1980   57  0.5655  0.0054  0.0546  0.0556  0.0458  0.04
Zimerman 1975   32  0.7029  0.0032  0.1031  0.2138  0.0729  0.12
Average   5  0.8147  0.007  0.128  0.4547  0.0518  0.15
Random 1   67  -0.0760  0.0067  0.0167  0.0120  0.2249  0.05
Random 2   65  0.0049  0.0065  0.0265  0.028  0.4136  0.09
Random 3   66  0.0057  0.0066  0.0266  0.022  0.5535  0.10

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).