Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   10  0.7831  0.009  0.158  0.5845  0.0616  0.19
Ax 1995   17  0.756  0.0114  0.1116  0.389  0.3810  0.38
Bacha 1998   34  0.7028  0.0020  0.1117  0.3717  0.429  0.39
Barbosa 1983   58  0.5445  0.0052  0.0639  0.0659  0.0452  0.05
BenOr 1989   62  0.4957  0.0060  0.0556  0.0564  0.0465  0.04
Biret 1990   28  0.7259  0.0027  0.0730  0.1551  0.0534  0.09
Brailowsky 1960   18  0.7456  0.0016  0.1121  0.3021  0.3213  0.31
Chiu 1999   53  0.6032  0.0059  0.0461  0.0436  0.0746  0.05
Clidat 1994   6  0.817  0.017  0.214  0.6812  0.582  0.63
Cohen 1997   56  0.5651  0.0054  0.0363  0.0340  0.0664  0.04
Cortot 1951   63  0.4963  0.0056  0.0364  0.0334  0.0758  0.05
Csalog 1996   44  0.6813  0.0045  0.0555  0.0555  0.0553  0.05
Czerny 1989   22  0.7338  0.0034  0.0644  0.0635  0.0741  0.06
Ezaki 2006   21  0.7343  0.0028  0.0728  0.1645  0.0530  0.09
Falvay 1989   8  0.792  0.012  0.219  0.5726  0.288  0.40
Fiorentino 1962   15  0.7752  0.0017  0.1215  0.4260  0.0522  0.14
Fliere 1977   3  0.8119  0.004  0.205  0.6511  0.454  0.54
Fou 1978   49  0.6260  0.0047  0.0546  0.0560  0.0461  0.04
Francois 1956   35  0.7035  0.0037  0.0553  0.0523  0.2724  0.12
Goldenweiser 1946   61  0.5022  0.0063  0.0460  0.0453  0.0559  0.04
Gornostaeva 1994   50  0.6137  0.0048  0.0548  0.0546  0.0657  0.05
Groot 1988   26  0.7318  0.0030  0.0827  0.1655  0.0535  0.09
Hatto 1993   19  0.7440  0.0031  0.0826  0.1958  0.0529  0.10
Hatto 1997   24  0.7336  0.0036  0.1034  0.1035  0.0931  0.09
Horszowski 1983   54  0.6015  0.0051  0.0550  0.0541  0.0644  0.05
Indjic 2001   23  0.7330  0.0035  0.0643  0.0656  0.0556  0.05
Katin 1996   14  0.7750  0.0018  0.1514  0.4530  0.2712  0.35
Kiepura 1999   57  0.5558  0.0049  0.0642  0.0624  0.2225  0.11
Korecka 1992   52  0.6041  0.0057  0.0554  0.0556  0.0462  0.04
Kushner 1990   59  0.5342  0.0050  0.0640  0.0648  0.0451  0.05
Lilamand 2001   64  0.4739  0.0064  0.0551  0.0552  0.0554  0.05
Luisada 1990   27  0.7226  0.0021  0.0922  0.2451  0.0528  0.11
Luisada 2008   42  0.6829  0.0029  0.0731  0.1460  0.0437  0.07
Lushtak 2004   20  0.7412  0.0022  0.0918  0.3641  0.0620  0.15
Malcuzynski 1951   43  0.684  0.0115  0.1020  0.3133  0.1018  0.18
Malcuzynski 1961   45  0.6633  0.0023  0.0924  0.2141  0.0626  0.11
Magaloff 1977   47  0.6434  0.0053  0.0835  0.0853  0.0638  0.07
Magin 1975   37  0.6944  0.0044  0.0641  0.0649  0.0548  0.05
Meguri 1997   60  0.5210  0.0158  0.0362  0.0364  0.0467  0.03
Milkina 1970   31  0.7161  0.0038  0.0547  0.0562  0.0363  0.04
Mohovich 1999   7  0.8025  0.008  0.127  0.5911  0.455  0.52
Nezu 2005   36  0.6955  0.0019  0.1219  0.3250  0.0621  0.14
Ohlsson 1999   33  0.7117  0.0032  0.0632  0.1251  0.0536  0.08
Olejniczak 1990   38  0.6964  0.0043  0.0457  0.0459  0.0466  0.04
Osinska 1989   5  0.8120  0.003  0.206  0.6216  0.426  0.51
Perlemuter 1992   51  0.6027  0.0061  0.0458  0.0455  0.0460  0.04
Poblocka 1999   4  0.8153  0.005  0.243  0.6818  0.347  0.48
Rangell 2001   29  0.7223  0.0039  0.0738  0.0744  0.0643  0.06
Richter 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Richter 1961   1  0.931  0.871  0.851  0.911  0.911  0.91
Rosen 1989   30  0.7265  0.0040  0.0737  0.0748  0.0542  0.06
Rubinstein 1939   12  0.7854  0.0012  0.1112  0.4923  0.2711  0.36
Rubinstein 1952   40  0.6862  0.0041  0.0736  0.0736  0.0840  0.07
Rubinstein 1966   11  0.7814  0.0010  0.1113  0.4729  0.2114  0.31
Rudanovskaya 2007   32  0.7146  0.0033  0.0633  0.1124  0.2619  0.17
Shebanova 2002   16  0.7524  0.0026  0.0725  0.2144  0.0627  0.11
Smith 1975   48  0.633  0.0155  0.0459  0.0438  0.0647  0.05
Sztompka 1959   55  0.5967  0.0062  0.0645  0.0660  0.0450  0.05
Tanyel 1992   41  0.6816  0.0025  0.0929  0.1650  0.0532  0.09
Tsujii 2005   9  0.799  0.0113  0.1510  0.5645  0.0617  0.18
Uninsky 1959   39  0.6921  0.0046  0.0549  0.0538  0.0549  0.05
Vardi 1988   13  0.7711  0.0011  0.1111  0.557  0.583  0.56
Wasowski 1980   46  0.6648  0.0042  0.0552  0.0554  0.0545  0.05
Zimerman 1975   25  0.738  0.0124  0.1123  0.2339  0.0623  0.12
Average   2  0.825  0.016  0.192  0.7157  0.0515  0.19
Random 1   67  -0.0466  0.0066  0.0266  0.0210  0.4533  0.09
Random 2   66  0.0049  0.0067  0.0167  0.0116  0.2955  0.05
Random 3   65  0.0247  0.0065  0.0265  0.0220  0.2439  0.07

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).