Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   43  0.6823  0.0010  0.1720  0.5219  0.4618  0.49
Ax 1995   22  0.7124  0.0017  0.1514  0.576  0.589  0.57
Bacha 1998   50  0.6549  0.0051  0.0936  0.0939  0.0755  0.08
Barbosa 1983   56  0.6160  0.0028  0.1226  0.3221  0.4626  0.38
BenOr 1989   45  0.6755  0.0036  0.0653  0.0622  0.3545  0.14
Biret 1990   19  0.7215  0.0119  0.0919  0.5314  0.5811  0.55
Brailowsky 1960   44  0.6759  0.0037  0.0557  0.0514  0.5442  0.16
Chiu 1999   27  0.7042  0.0035  0.0742  0.076  0.6431  0.21
Clidat 1994   31  0.6917  0.0021  0.1024  0.4310  0.5917  0.50
Cohen 1997   62  0.5356  0.0062  0.0651  0.0621  0.2551  0.12
Cortot 1951   63  0.5065  0.0063  0.0656  0.0645  0.0565  0.05
Csalog 1996   35  0.6857  0.0049  0.0648  0.0637  0.0761  0.06
Czerny 1989   24  0.7035  0.0031  0.0931  0.1913  0.5329  0.32
Ezaki 2006   13  0.7413  0.0126  0.1525  0.394  0.6814  0.51
Falvay 1989   10  0.752  0.093  0.176  0.7221  0.4012  0.54
Fiorentino 1962   9  0.7518  0.0014  0.1622  0.4911  0.5415  0.51
Fliere 1977   29  0.7041  0.0032  0.1032  0.1840  0.0752  0.11
Fou 1978   26  0.7010  0.0115  0.1321  0.5113  0.5016  0.50
Francois 1956   36  0.688  0.0218  0.0929  0.242  0.6825  0.40
Goldenweiser 1946   61  0.5648  0.0061  0.0652  0.0635  0.0857  0.07
Gornostaeva 1994   59  0.6061  0.0048  0.0654  0.0624  0.3744  0.15
Groot 1988   25  0.7032  0.0033  0.0745  0.0736  0.0860  0.07
Hatto 1993   14  0.7463  0.0023  0.1315  0.5625  0.3024  0.41
Hatto 1997   17  0.7354  0.0025  0.2316  0.5627  0.2627  0.38
Horszowski 1983   55  0.6246  0.0055  0.0463  0.0431  0.1156  0.07
Indjic 2001   12  0.7450  0.0024  0.1712  0.5925  0.3122  0.43
Katin 1996   4  0.7612  0.0113  0.1611  0.5913  0.618  0.60
Kiepura 1999   58  0.6036  0.0054  0.0739  0.0727  0.2546  0.13
Korecka 1992   49  0.6511  0.0153  0.0741  0.0711  0.5233  0.19
Kushner 1990   30  0.695  0.055  0.1510  0.593  0.667  0.62
Lilamand 2001   57  0.6139  0.0058  0.0560  0.0520  0.3447  0.13
Luisada 1990   39  0.6816  0.0139  0.0647  0.0630  0.2748  0.13
Luisada 2008   33  0.6947  0.0034  0.0740  0.0714  0.6232  0.21
Lushtak 2004   21  0.7158  0.0030  0.1128  0.2528  0.3030  0.27
Malcuzynski 1951   48  0.6631  0.0029  0.1427  0.3116  0.4028  0.35
Malcuzynski 1961   28  0.7029  0.0012  0.1517  0.5518  0.3919  0.46
Magaloff 1977   42  0.6834  0.0043  0.0837  0.0811  0.4534  0.19
Magin 1975   37  0.6838  0.0038  0.0650  0.0634  0.0959  0.07
Meguri 1997   46  0.6614  0.0152  0.0655  0.0629  0.1453  0.09
Milkina 1970   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Mohovich 1999   11  0.7420  0.0020  0.1013  0.587  0.5310  0.55
Nezu 2005   18  0.734  0.0516  0.1218  0.5516  0.3721  0.45
Ohlsson 1999   5  0.7627  0.009  0.172  0.7410  0.624  0.68
Olejniczak 1990   23  0.7022  0.0040  0.0743  0.0727  0.2450  0.13
Osinska 1989   8  0.757  0.037  0.153  0.7320  0.3913  0.53
Perlemuter 1992   53  0.6353  0.0060  0.0558  0.0529  0.1058  0.07
Poblocka 1999   2  0.773  0.066  0.154  0.739  0.663  0.69
Rangell 2001   40  0.6851  0.0050  0.0646  0.0617  0.4443  0.16
Richter 1960   54  0.6244  0.0056  0.0462  0.0445  0.0664  0.05
Richter 1961   60  0.6030  0.0057  0.0561  0.0551  0.0563  0.05
Rosen 1989   20  0.7126  0.0041  0.0838  0.0823  0.3741  0.17
Rubinstein 1939   15  0.749  0.0211  0.158  0.646  0.636  0.63
Rubinstein 1952   7  0.756  0.042  0.217  0.704  0.675  0.68
Rubinstein 1966   1  0.791  0.531  0.521  0.813  0.771  0.79
Rudanovskaya 2007   52  0.6352  0.0059  0.0559  0.0526  0.1554  0.09
Shebanova 2002   16  0.7333  0.0022  0.1123  0.4414  0.4720  0.45
Smith 1975   32  0.6943  0.0044  0.0744  0.0718  0.4239  0.17
Sztompka 1959   41  0.6837  0.0047  0.0649  0.0612  0.5536  0.18
Tanyel 1992   38  0.6821  0.0042  0.0934  0.0920  0.3537  0.18
Tsujii 2005   3  0.7719  0.008  0.159  0.6124  0.2923  0.42
Uninsky 1959   6  0.7528  0.004  0.155  0.727  0.692  0.70
Vardi 1988   47  0.6625  0.0046  0.0933  0.0923  0.3340  0.17
Wasowski 1980   51  0.6545  0.0045  0.0935  0.0920  0.3438  0.17
Zimerman 1975   34  0.6940  0.0027  0.1030  0.2029  0.1935  0.19
Random 1   66  -0.0266  0.0066  0.0166  0.0154  0.0366  0.02
Random 2   65  0.0162  0.0065  0.0265  0.0224  0.2162  0.06
Random 3   64  0.0364  0.0064  0.0364  0.032  0.5549  0.13

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).