Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   58  0.4450  0.0032  0.0733  0.1416  0.4828  0.26
Ax 1995   23  0.5820  0.007  0.1412  0.546  0.5711  0.55
Bacha 1998   51  0.4844  0.0047  0.0747  0.0719  0.4134  0.17
Barbosa 1983   42  0.5328  0.0024  0.1028  0.3310  0.6021  0.44
BenOr 1989   12  0.609  0.0216  0.1217  0.4916  0.5614  0.52
Biret 1990   34  0.5652  0.0030  0.0830  0.1721  0.3429  0.24
Brailowsky 1960   13  0.606  0.065  0.184  0.651  0.752  0.70
Chiu 1999   54  0.4658  0.0053  0.0461  0.0435  0.0761  0.05
Clidat 1994   48  0.4943  0.0044  0.0838  0.0831  0.1351  0.10
Cohen 1997   62  0.3953  0.0062  0.0460  0.0413  0.5043  0.14
Cortot 1951   53  0.4724  0.0060  0.0458  0.0424  0.2452  0.10
Csalog 1996   40  0.5338  0.0042  0.0845  0.0840  0.0658  0.07
Czerny 1989   24  0.5837  0.0018  0.0823  0.4220  0.4620  0.44
Ezaki 2006   28  0.588  0.0217  0.1029  0.3120  0.3927  0.35
Falvay 1989   2  0.644  0.093  0.173  0.7327  0.2819  0.45
Fiorentino 1962   7  0.6217  0.0111  0.129  0.6017  0.5310  0.56
Fliere 1977   41  0.5341  0.0039  0.1035  0.1023  0.3232  0.18
Fou 1978   37  0.5448  0.0040  0.1532  0.1546  0.0653  0.09
Francois 1956   45  0.5054  0.0046  0.0844  0.0818  0.3439  0.16
Goldenweiser 1946   49  0.4940  0.0048  0.0746  0.0717  0.3140  0.15
Gornostaeva 1994   57  0.4564  0.0054  0.0457  0.0424  0.3646  0.12
Groot 1988   20  0.5926  0.0025  0.1022  0.4325  0.3126  0.37
Hatto 1993   26  0.5825  0.0033  0.0842  0.0831  0.1650  0.11
Hatto 1997   27  0.5829  0.0035  0.0937  0.0932  0.1349  0.11
Horszowski 1983   63  0.3956  0.0061  0.0363  0.0356  0.0465  0.03
Indjic 2001   25  0.5818  0.0031  0.0731  0.1532  0.1641  0.15
Katin 1996   29  0.5849  0.0027  0.1125  0.3935  0.1031  0.20
Kiepura 1999   11  0.6112  0.0110  0.1210  0.599  0.725  0.65
Korecka 1992   14  0.6014  0.0126  0.1127  0.352  0.8113  0.53
Kushner 1990   35  0.5632  0.0036  0.0839  0.0821  0.3535  0.17
Lilamand 2001   59  0.4459  0.0057  0.0651  0.0624  0.1947  0.11
Luisada 1990   22  0.5934  0.0023  0.1118  0.4914  0.5415  0.51
Luisada 2008   43  0.5047  0.0045  0.0649  0.0631  0.2844  0.13
Lushtak 2004   4  0.642  0.154  0.265  0.627  0.656  0.63
Malcuzynski 1951   19  0.5922  0.0034  0.0748  0.0720  0.4036  0.17
Malcuzynski 1961   1  0.655  0.082  0.161  0.758  0.643  0.69
Magaloff 1977   52  0.4842  0.0051  0.0456  0.0428  0.2154  0.09
Magin 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Meguri 1997   47  0.4960  0.0055  0.0554  0.0531  0.1356  0.08
Milkina 1970   17  0.5931  0.0022  0.1119  0.4833  0.1130  0.23
Mohovich 1999   16  0.6013  0.0114  0.128  0.614  0.618  0.61
Nezu 2005   8  0.6233  0.0019  0.0821  0.4318  0.4024  0.41
Ohlsson 1999   3  0.641  0.331  0.332  0.743  0.751  0.74
Olejniczak 1990   18  0.5916  0.0121  0.1015  0.5115  0.5812  0.54
Osinska 1989   5  0.6411  0.019  0.1313  0.5425  0.3422  0.43
Perlemuter 1992   61  0.4261  0.0063  0.0652  0.0647  0.0560  0.05
Poblocka 1999   10  0.6127  0.0020  0.0920  0.4511  0.5616  0.50
Rangell 2001   60  0.4446  0.0059  0.0462  0.0443  0.0664  0.05
Richter 1960   46  0.5055  0.0050  0.0553  0.0527  0.2348  0.11
Richter 1961   56  0.4562  0.0056  0.0650  0.0621  0.3242  0.14
Rosen 1989   38  0.5451  0.0043  0.0843  0.0836  0.0857  0.08
Rubinstein 1939   32  0.577  0.0313  0.1214  0.5411  0.629  0.58
Rubinstein 1952   36  0.5523  0.0028  0.1724  0.4017  0.4423  0.42
Rubinstein 1966   30  0.5815  0.0115  0.1216  0.5122  0.4617  0.48
Rudanovskaya 2007   55  0.4557  0.0058  0.0555  0.0548  0.0562  0.05
Shebanova 2002   50  0.4935  0.0052  0.0459  0.0432  0.1259  0.07
Smith 1975   39  0.5336  0.0041  0.1036  0.1028  0.2538  0.16
Sztompka 1959   15  0.603  0.106  0.237  0.613  0.724  0.66
Tanyel 1992   31  0.5719  0.0037  0.0841  0.0827  0.4233  0.18
Tsujii 2005   6  0.6221  0.0012  0.1311  0.5927  0.2525  0.38
Uninsky 1959   33  0.5745  0.0038  0.1134  0.1147  0.0655  0.08
Vardi 1988   21  0.5930  0.0029  0.1726  0.3614  0.5818  0.46
Wasowski 1980   44  0.5039  0.0049  0.0840  0.0823  0.3437  0.16
Zimerman 1975   9  0.6210  0.018  0.136  0.627  0.657  0.63
Random 1   64  0.0465  0.0064  0.0364  0.033  0.4545  0.12
Random 2   66  -0.0363  0.0066  0.0166  0.0161  0.0366  0.02
Random 3   65  -0.0266  0.0065  0.0265  0.0225  0.1563  0.05

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).