Uninsky 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   19  0.765  0.064  0.175  0.547  0.565  0.55
Ax 1995   52  0.6646  0.0051  0.0549  0.0532  0.1252  0.08
Bacha 1998   30  0.7555  0.0023  0.0628  0.2215  0.4623  0.32
Barbosa 1983   55  0.6539  0.0026  0.0729  0.2212  0.5321  0.34
BenOr 1989   37  0.7332  0.0042  0.0738  0.0730  0.2043  0.12
Biret 1990   12  0.7923  0.0017  0.1214  0.3617  0.3817  0.37
Brailowsky 1960   43  0.7030  0.0046  0.0551  0.0522  0.3041  0.12
Chiu 1999   40  0.7141  0.0048  0.0645  0.0632  0.1049  0.08
Clidat 1994   35  0.7317  0.0127  0.0824  0.2311  0.5816  0.37
Cohen 1997   63  0.5351  0.0063  0.0458  0.0442  0.0762  0.05
Cortot 1951   61  0.5962  0.0059  0.0364  0.0340  0.0565  0.04
Csalog 1996   18  0.767  0.0331  0.1026  0.2211  0.4824  0.32
Czerny 1989   56  0.6529  0.0045  0.0553  0.0538  0.0660  0.05
Ezaki 2006   44  0.6956  0.0055  0.0459  0.0431  0.1353  0.07
Falvay 1989   1  0.841  0.201  0.191  0.685  0.552  0.61
Fiorentino 1962   31  0.7538  0.0043  0.0642  0.0636  0.0854  0.07
Fliere 1977   17  0.7757  0.0037  0.0641  0.0631  0.1347  0.09
Fou 1978   23  0.768  0.039  0.1312  0.416  0.538  0.47
Francois 1956   59  0.6216  0.0160  0.0363  0.0329  0.1555  0.07
Goldenweiser 1946   53  0.6636  0.0038  0.0734  0.0717  0.2938  0.14
Gornostaeva 1994   50  0.6866  0.0053  0.0556  0.0548  0.0563  0.05
Groot 1988   10  0.8034  0.0018  0.0819  0.2932  0.1331  0.19
Hatto 1993   6  0.8165  0.0011  0.1213  0.3812  0.5511  0.46
Hatto 1997   3  0.8215  0.016  0.213  0.574  0.623  0.59
Horszowski 1983   45  0.6928  0.0021  0.0727  0.2212  0.4026  0.30
Indjic 2001   4  0.8263  0.008  0.147  0.485  0.596  0.53
Katin 1996   8  0.8021  0.0116  0.0917  0.349  0.5213  0.42
Kiepura 1999   62  0.5822  0.0062  0.0647  0.0643  0.0559  0.05
Korecka 1992   33  0.7364  0.0033  0.0739  0.0723  0.2839  0.14
Kushner 1990   49  0.6848  0.0035  0.0736  0.0715  0.4533  0.18
Lilamand 2001   60  0.5952  0.0049  0.0550  0.0532  0.1451  0.08
Luisada 1990   24  0.7526  0.0019  0.0716  0.3427  0.2229  0.27
Luisada 2008   39  0.7240  0.0029  0.0731  0.1829  0.1536  0.16
Lushtak 2004   34  0.7354  0.0044  0.0548  0.0540  0.0561  0.05
Malcuzynski 1951   54  0.6513  0.0241  0.0833  0.088  0.4134  0.18
Malcuzynski 1961   14  0.776  0.047  0.186  0.538  0.517  0.52
Magaloff 1977   16  0.7710  0.0222  0.0725  0.235  0.5719  0.36
Magin 1975   22  0.7649  0.0030  0.0930  0.2128  0.1830  0.19
Meguri 1997   42  0.7143  0.0050  0.0735  0.0717  0.3935  0.17
Milkina 1970   28  0.7511  0.0214  0.1015  0.363  0.599  0.46
Mohovich 1999   36  0.7344  0.0034  0.0644  0.0628  0.1745  0.10
Nezu 2005   20  0.7642  0.0025  0.0722  0.2621  0.3625  0.31
Ohlsson 1999   2  0.832  0.172  0.242  0.642  0.611  0.62
Olejniczak 1990   32  0.7458  0.0047  0.0646  0.0636  0.0758  0.06
Osinska 1989   5  0.814  0.105  0.168  0.4815  0.2718  0.36
Perlemuter 1992   51  0.6761  0.0057  0.0460  0.0428  0.1548  0.08
Poblocka 1999   13  0.7831  0.0020  0.1018  0.3416  0.3620  0.35
Rangell 2001   48  0.6835  0.0054  0.0555  0.0514  0.4337  0.15
Richter 1960   41  0.7125  0.0039  0.0740  0.0723  0.2142  0.12
Richter 1961   58  0.6459  0.0061  0.0457  0.0435  0.0856  0.06
Rosen 1989   27  0.7512  0.0215  0.1021  0.2715  0.4422  0.34
Rubinstein 1939   26  0.7524  0.0028  0.0823  0.2524  0.3327  0.29
Rubinstein 1952   29  0.759  0.0213  0.149  0.4710  0.4412  0.45
Rubinstein 1966   9  0.8014  0.0110  0.1111  0.4419  0.3214  0.38
Rudanovskaya 2007   46  0.6919  0.0158  0.0462  0.0443  0.0564  0.04
Shebanova 2002   11  0.793  0.143  0.194  0.5710  0.574  0.57
Smith 1975   21  0.7637  0.0032  0.0732  0.147  0.5428  0.27
Sztompka 1959   25  0.7560  0.0036  0.0737  0.079  0.4732  0.18
Tanyel 1992   47  0.6820  0.0152  0.0554  0.0529  0.2144  0.10
Tsujii 2005   7  0.8118  0.0112  0.1310  0.4711  0.4610  0.46
Uninsky 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Vardi 1988   57  0.6547  0.0056  0.0552  0.0531  0.1250  0.08
Wasowski 1980   15  0.7727  0.0024  0.0820  0.2811  0.4815  0.37
Zimerman 1975   38  0.7333  0.0040  0.0643  0.0629  0.1846  0.10
Random 1   66  -0.0645  0.0066  0.0166  0.0160  0.0266  0.01
Random 2   65  0.0253  0.0065  0.0265  0.0228  0.1957  0.06
Random 3   64  0.0850  0.0064  0.0461  0.044  0.5140  0.14

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).