Uninsky 1959

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   26  0.7041  0.0015  0.1012  0.4421  0.4117  0.42
Ax 1995   4  0.7710  0.029  0.209  0.5519  0.4214  0.48
Bacha 1998   61  0.5546  0.0060  0.0458  0.0440  0.0661  0.05
Barbosa 1983   47  0.6316  0.0122  0.0722  0.2418  0.4419  0.32
BenOr 1989   53  0.5915  0.0138  0.0937  0.0925  0.3240  0.17
Biret 1990   21  0.7142  0.0018  0.0817  0.3815  0.6413  0.49
Brailowsky 1960   27  0.7045  0.0030  0.0632  0.1415  0.4723  0.26
Chiu 1999   45  0.6461  0.0045  0.0748  0.0715  0.4835  0.18
Clidat 1994   33  0.6811  0.0120  0.0821  0.2931  0.2026  0.24
Cohen 1997   54  0.5949  0.0057  0.0555  0.052  0.7134  0.19
Cortot 1951   63  0.4223  0.0063  0.0652  0.0617  0.3347  0.14
Csalog 1996   6  0.766  0.0311  0.1514  0.433  0.6811  0.54
Czerny 1989   20  0.7118  0.0042  0.0936  0.0931  0.1650  0.12
Ezaki 2006   16  0.727  0.0327  0.0729  0.1525  0.3028  0.21
Falvay 1989   7  0.754  0.0712  0.1516  0.3929  0.1922  0.27
Fiorentino 1962   36  0.6835  0.0035  0.0839  0.0836  0.1153  0.09
Fliere 1977   25  0.7012  0.0140  0.0843  0.0839  0.0755  0.07
Fou 1978   40  0.6638  0.0039  0.1035  0.1035  0.1051  0.10
Francois 1956   31  0.6933  0.0029  0.0627  0.177  0.6220  0.32
Goldenweiser 1946   46  0.6334  0.0049  0.0747  0.072  0.6927  0.22
Gornostaeva 1994   62  0.5127  0.0054  0.0462  0.0435  0.0959  0.06
Groot 1988   13  0.7353  0.0017  0.0815  0.394  0.5515  0.46
Hatto 1993   11  0.7426  0.008  0.237  0.6013  0.558  0.57
Hatto 1997   8  0.7524  0.007  0.236  0.6112  0.587  0.59
Horszowski 1983   60  0.5651  0.0062  0.0653  0.0616  0.2848  0.13
Indjic 2001   9  0.7414  0.016  0.285  0.6111  0.596  0.60
Katin 1996   14  0.7319  0.0014  0.1211  0.4415  0.5712  0.50
Kiepura 1999   51  0.6058  0.0047  0.0746  0.0724  0.2943  0.14
Korecka 1992   50  0.6055  0.0053  0.0461  0.048  0.5245  0.14
Kushner 1990   44  0.6530  0.0016  0.0819  0.3312  0.6016  0.44
Lilamand 2001   49  0.6243  0.0052  0.0554  0.057  0.4541  0.15
Luisada 1990   48  0.6247  0.0051  0.1034  0.1023  0.3632  0.19
Luisada 2008   52  0.6056  0.0050  0.0844  0.0820  0.4331  0.19
Lushtak 2004   42  0.6628  0.0031  0.0631  0.1425  0.2633  0.19
Malcuzynski 1951   28  0.7037  0.0032  0.0830  0.1540  0.0752  0.10
Malcuzynski 1961   23  0.7022  0.0019  0.0918  0.3531  0.1229  0.20
Magaloff 1977   58  0.5762  0.0058  0.0460  0.0441  0.0762  0.05
Magin 1975   22  0.7120  0.0033  0.0842  0.0818  0.4730  0.19
Meguri 1997   38  0.6736  0.0043  0.0745  0.074  0.4437  0.18
Milkina 1970   5  0.7613  0.015  0.224  0.6111  0.624  0.61
Mohovich 1999   12  0.732  0.164  0.228  0.571  0.693  0.63
Nezu 2005   43  0.6544  0.0034  0.0938  0.0947  0.0754  0.08
Ohlsson 1999   1  0.821  0.351  0.351  0.692  0.751  0.72
Olejniczak 1990   41  0.6650  0.0023  0.0725  0.2121  0.3325  0.26
Osinska 1989   18  0.7240  0.0026  0.0723  0.2235  0.0944  0.14
Perlemuter 1992   55  0.5859  0.0061  0.0556  0.059  0.3349  0.13
Poblocka 1999   30  0.6931  0.0037  0.0840  0.0841  0.0756  0.07
Rangell 2001   34  0.6854  0.0044  0.0650  0.0626  0.3346  0.14
Richter 1960   56  0.5839  0.0055  0.0363  0.0350  0.0565  0.04
Richter 1961   59  0.5652  0.0056  0.0457  0.0453  0.0564  0.04
Rosen 1989   37  0.678  0.0341  0.0841  0.0823  0.3042  0.15
Rubinstein 1939   32  0.6921  0.0021  0.0920  0.3029  0.2721  0.28
Rubinstein 1952   19  0.729  0.0210  0.1610  0.537  0.599  0.56
Rubinstein 1966   24  0.7029  0.0036  0.1133  0.1128  0.2838  0.18
Rudanovskaya 2007   39  0.6760  0.0048  0.0651  0.0612  0.5139  0.17
Shebanova 2002   17  0.7217  0.0124  0.0724  0.2121  0.3224  0.26
Smith 1975   10  0.7425  0.0013  0.1213  0.444  0.6810  0.55
Sztompka 1959   15  0.7332  0.0028  0.0628  0.161  0.6718  0.33
Tanyel 1992   2  0.803  0.113  0.202  0.681  0.712  0.69
Tsujii 2005   3  0.805  0.052  0.223  0.6615  0.565  0.61
Uninsky 1959   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Vardi 1988   29  0.6948  0.0025  0.0826  0.1829  0.1836  0.18
Wasowski 1980   57  0.5764  0.0059  0.0459  0.0441  0.0660  0.05
Zimerman 1975   35  0.6863  0.0046  0.0649  0.0649  0.0658  0.06
Random 1   65  -0.0365  0.0065  0.0265  0.0227  0.1163  0.05
Random 2   64  0.0066  0.0064  0.0264  0.0220  0.2357  0.07
Random 3   66  -0.0457  0.0066  0.0166  0.0142  0.0466  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).