Tanyel 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   17  0.7740  0.0014  0.0820  0.3332  0.1825  0.24
Ax 1995   8  0.8123  0.0115  0.0819  0.3518  0.389  0.36
Bacha 1998   47  0.6547  0.0048  0.0451  0.0435  0.0748  0.05
Barbosa 1983   53  0.6146  0.0043  0.0453  0.0450  0.0561  0.04
BenOr 1989   51  0.628  0.0519  0.0632  0.1316  0.3428  0.21
Biret 1990   15  0.7955  0.0026  0.0821  0.2811  0.4610  0.36
Brailowsky 1960   11  0.807  0.053  0.154  0.471  0.632  0.54
Chiu 1999   59  0.5750  0.0060  0.0361  0.0351  0.0555  0.04
Clidat 1994   12  0.7914  0.0218  0.0818  0.3526  0.2221  0.28
Cohen 1997   48  0.6554  0.0052  0.0547  0.0513  0.4534  0.15
Cortot 1951   63  0.4661  0.0063  0.0539  0.0528  0.1941  0.10
Csalog 1996   3  0.8318  0.018  0.1313  0.396  0.428  0.40
Czerny 1989   52  0.6238  0.0061  0.0450  0.0455  0.0558  0.04
Ezaki 2006   7  0.8211  0.0216  0.0812  0.4125  0.3011  0.35
Falvay 1989   18  0.7610  0.0312  0.0626  0.2329  0.1629  0.19
Fiorentino 1962   24  0.7521  0.0124  0.0828  0.2131  0.1632  0.18
Fliere 1977   13  0.7913  0.0211  0.0814  0.3726  0.2220  0.29
Fou 1978   45  0.6645  0.0049  0.0454  0.0460  0.0557  0.04
Francois 1956   60  0.5519  0.0158  0.0362  0.0358  0.0465  0.03
Goldenweiser 1946   55  0.6136  0.0053  0.0540  0.0518  0.3735  0.14
Gornostaeva 1994   61  0.5352  0.0057  0.0360  0.0362  0.0464  0.03
Groot 1988   37  0.6812  0.0236  0.0636  0.0630  0.1244  0.08
Hatto 1993   26  0.7539  0.0022  0.117  0.4725  0.2315  0.33
Hatto 1997   19  0.7626  0.0120  0.066  0.4724  0.2612  0.35
Horszowski 1983   39  0.6864  0.0038  0.0637  0.0615  0.2536  0.12
Indjic 2001   20  0.7633  0.0021  0.085  0.4724  0.2414  0.34
Katin 1996   36  0.6942  0.0054  0.0449  0.0462  0.0459  0.04
Kiepura 1999   57  0.6051  0.0056  0.0458  0.0449  0.0554  0.04
Korecka 1992   33  0.7160  0.0042  0.0542  0.057  0.4633  0.15
Kushner 1990   29  0.754  0.085  0.178  0.461  0.651  0.55
Lilamand 2001   32  0.7425  0.0131  0.0830  0.1518  0.2530  0.19
Luisada 1990   54  0.6134  0.0039  0.0546  0.0538  0.0652  0.05
Luisada 2008   56  0.6132  0.0046  0.0452  0.0443  0.0562  0.04
Lushtak 2004   34  0.7117  0.0125  0.0823  0.2521  0.3122  0.28
Malcuzynski 1951   4  0.833  0.094  0.169  0.4519  0.407  0.42
Malcuzynski 1961   5  0.825  0.062  0.112  0.5011  0.475  0.48
Magaloff 1977   58  0.5962  0.0059  0.0363  0.0360  0.0463  0.03
Magin 1975   6  0.822  0.107  0.1610  0.446  0.553  0.49
Meguri 1997   62  0.5248  0.0037  0.0638  0.0647  0.0550  0.05
Milkina 1970   23  0.7516  0.0132  0.0731  0.1435  0.0643  0.09
Mohovich 1999   14  0.7922  0.016  0.1415  0.3722  0.3413  0.35
Nezu 2005   28  0.756  0.0610  0.0816  0.3725  0.2519  0.30
Ohlsson 1999   30  0.7543  0.0041  0.0455  0.0448  0.0560  0.04
Olejniczak 1990   27  0.7515  0.0227  0.0922  0.2613  0.3917  0.32
Osinska 1989   1  0.871  0.181  0.181  0.5419  0.424  0.48
Perlemuter 1992   49  0.6359  0.0062  0.0545  0.0551  0.0547  0.05
Poblocka 1999   16  0.7835  0.0023  0.0817  0.3627  0.2916  0.32
Rangell 2001   10  0.8030  0.009  0.1111  0.4214  0.466  0.44
Richter 1960   46  0.6641  0.0029  0.0927  0.2119  0.3223  0.26
Richter 1961   50  0.6358  0.0013  0.0629  0.1923  0.2526  0.22
Rosen 1989   25  0.7544  0.0033  0.1034  0.1018  0.3131  0.18
Rubinstein 1939   40  0.6720  0.0144  0.0448  0.0460  0.0556  0.04
Rubinstein 1952   44  0.6637  0.0045  0.0541  0.0541  0.0746  0.06
Rubinstein 1966   43  0.6731  0.0050  0.0543  0.0553  0.0551  0.05
Rudanovskaya 2007   42  0.6749  0.0055  0.0457  0.0439  0.0653  0.05
Shebanova 2002   31  0.7457  0.0030  0.1225  0.2358  0.0538  0.11
Smith 1975   22  0.7628  0.0135  0.1333  0.1313  0.3827  0.22
Sztompka 1959   35  0.7156  0.0040  0.0456  0.0424  0.2739  0.10
Tanyel 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Tsujii 2005   2  0.839  0.0317  0.093  0.5031  0.1224  0.24
Uninsky 1959   9  0.8124  0.0128  0.0924  0.2414  0.3818  0.30
Vardi 1988   41  0.6727  0.0151  0.0544  0.0542  0.0649  0.05
Wasowski 1980   38  0.6829  0.0047  0.0459  0.0423  0.1942  0.09
Zimerman 1975   21  0.7653  0.0034  0.0935  0.0929  0.1537  0.12
Random 1   66  -0.1163  0.0066  0.0166  0.0155  0.0366  0.02
Random 2   64  -0.0465  0.0064  0.0264  0.0226  0.1945  0.06
Random 3   65  -0.0866  0.0065  0.0265  0.027  0.4640  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).