Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   22  0.6711  0.0111  0.165  0.6953  0.0615  0.20
Ax 1995   31  0.6434  0.0019  0.1122  0.3346  0.0722  0.15
Bacha 1998   42  0.6160  0.0049  0.0558  0.0562  0.0463  0.04
Barbosa 1983   46  0.609  0.0213  0.1715  0.4826  0.337  0.40
BenOr 1989   40  0.6214  0.0123  0.0927  0.2352  0.0627  0.12
Biret 1990   28  0.6525  0.0032  0.0632  0.1260  0.0437  0.07
Brailowsky 1960   47  0.5940  0.0050  0.0734  0.0756  0.0538  0.06
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Clidat 1994   29  0.6546  0.0024  0.1024  0.3038  0.0724  0.14
Cohen 1997   61  0.5149  0.0061  0.0559  0.0551  0.0559  0.05
Cortot 1951   63  0.4366  0.0063  0.0549  0.0539  0.0561  0.05
Csalog 1996   24  0.6653  0.0030  0.0629  0.1544  0.0633  0.09
Czerny 1989   32  0.6420  0.0029  0.0928  0.2049  0.0530  0.10
Ezaki 2006   25  0.6632  0.0039  0.0552  0.0558  0.0547  0.05
Falvay 1989   13  0.6830  0.0021  0.1219  0.4263  0.0425  0.13
Fiorentino 1962   23  0.6738  0.0031  0.0630  0.1455  0.0731  0.10
Fliere 1977   15  0.6817  0.0028  0.0926  0.2659  0.0429  0.10
Fou 1978   7  0.703  0.172  0.247  0.6427  0.285  0.42
Francois 1956   37  0.6213  0.0134  0.0737  0.0724  0.2228  0.12
Goldenweiser 1946   62  0.4644  0.0062  0.0646  0.0663  0.0451  0.05
Gornostaeva 1994   44  0.6019  0.0037  0.0644  0.0629  0.1832  0.10
Groot 1988   16  0.6822  0.0018  0.1521  0.3946  0.0623  0.15
Hatto 1993   8  0.7036  0.009  0.1311  0.5340  0.0813  0.21
Hatto 1997   11  0.6950  0.0014  0.1212  0.5247  0.0717  0.19
Horszowski 1983   52  0.5652  0.0058  0.0550  0.0541  0.0649  0.05
Indjic 2001   9  0.7033  0.0015  0.1813  0.5039  0.0814  0.20
Katin 1996   10  0.6943  0.0012  0.1214  0.5034  0.1011  0.22
Kiepura 1999   60  0.5326  0.0057  0.0554  0.0551  0.0548  0.05
Korecka 1992   59  0.5348  0.0060  0.0462  0.0464  0.0365  0.03
Kushner 1990   58  0.5462  0.0036  0.0643  0.0651  0.0456  0.05
Lilamand 2001   54  0.5624  0.0042  0.0647  0.0626  0.2626  0.12
Luisada 1990   51  0.5758  0.0052  0.0735  0.0746  0.0642  0.06
Luisada 2008   38  0.6227  0.0040  0.0639  0.0643  0.0641  0.06
Lushtak 2004   33  0.6445  0.0035  0.0638  0.0651  0.0643  0.06
Malcuzynski 1951   55  0.5621  0.0027  0.0831  0.1452  0.0536  0.08
Malcuzynski 1961   27  0.654  0.1316  0.1616  0.4850  0.0619  0.17
Magaloff 1977   12  0.6912  0.018  0.169  0.586  0.571  0.57
Magin 1975   41  0.6147  0.0048  0.0556  0.0559  0.0554  0.05
Meguri 1997   20  0.6737  0.0026  0.0925  0.2816  0.318  0.29
Milkina 1970   6  0.707  0.027  0.136  0.6442  0.0712  0.21
Mohovich 1999   30  0.6429  0.0033  0.0733  0.0755  0.0544  0.06
Nezu 2005   14  0.6823  0.0020  0.1117  0.4338  0.0818  0.19
Ohlsson 1999   2  0.732  0.183  0.268  0.6022  0.363  0.46
Olejniczak 1990   36  0.6355  0.0038  0.0640  0.0647  0.0646  0.06
Osinska 1989   39  0.6242  0.0043  0.0641  0.0661  0.0452  0.05
Perlemuter 1992   57  0.5528  0.0059  0.0463  0.0462  0.0462  0.04
Poblocka 1999   18  0.6839  0.0022  0.1318  0.4250  0.0620  0.16
Rangell 2001   43  0.6141  0.0047  0.0557  0.0548  0.0660  0.05
Richter 1960   56  0.5561  0.0056  0.0460  0.0443  0.0657  0.05
Richter 1961   49  0.5959  0.0053  0.0548  0.0547  0.0653  0.05
Rosen 1989   35  0.6315  0.0146  0.0642  0.0658  0.0458  0.05
Rubinstein 1939   21  0.676  0.0410  0.1310  0.5442  0.0716  0.19
Rubinstein 1952   5  0.701  0.201  0.201  0.7721  0.402  0.55
Rubinstein 1966   4  0.7216  0.015  0.164  0.7033  0.099  0.25
Rudanovskaya 2007   19  0.678  0.0225  0.0923  0.326  0.526  0.41
Shebanova 2002   3  0.7210  0.024  0.132  0.7223  0.284  0.45
Smith 1975   34  0.6451  0.0045  0.0645  0.0651  0.0639  0.06
Sztompka 1959   45  0.6035  0.0054  0.0736  0.0761  0.0455  0.05
Tanyel 1992   53  0.5654  0.0055  0.0461  0.0460  0.0464  0.04
Tsujii 2005   1  0.735  0.086  0.153  0.7037  0.0810  0.24
Uninsky 1959   17  0.6865  0.0017  0.1320  0.4245  0.0621  0.16
Vardi 1988   50  0.5863  0.0051  0.0555  0.0536  0.0740  0.06
Wasowski 1980   48  0.5931  0.0041  0.0551  0.0552  0.0650  0.05
Zimerman 1975   26  0.6518  0.0044  0.0553  0.0539  0.0745  0.06
Random 1   65  0.0057  0.0065  0.0265  0.029  0.3735  0.09
Random 2   64  0.0156  0.0064  0.0264  0.027  0.4334  0.09
Random 3   66  -0.0264  0.0066  0.0166  0.0153  0.0366  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).