Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   15  0.7930  0.0018  0.1114  0.4634  0.1025  0.21
Ax 1995   44  0.6741  0.0043  0.0638  0.0639  0.0752  0.06
Bacha 1998   17  0.7727  0.0023  0.1026  0.267  0.4918  0.36
Barbosa 1983   56  0.6346  0.0035  0.0547  0.0543  0.0561  0.05
BenOr 1989   20  0.757  0.028  0.1117  0.431  0.656  0.53
Biret 1990   22  0.7523  0.0034  0.0558  0.0537  0.0664  0.05
Brailowsky 1960   21  0.7518  0.0128  0.0827  0.265  0.5417  0.37
Chiu 1999   50  0.6539  0.0057  0.0734  0.0746  0.0546  0.06
Clidat 1994   37  0.6935  0.0037  0.0641  0.0639  0.0749  0.06
Cohen 1997   61  0.5462  0.0062  0.0555  0.0534  0.1045  0.07
Cortot 1951   62  0.5364  0.0061  0.0559  0.056  0.5229  0.16
Csalog 1996   30  0.7155  0.0030  0.0728  0.1825  0.2326  0.20
Czerny 1989   28  0.7312  0.0119  0.1119  0.3516  0.2820  0.31
Ezaki 2006   12  0.8031  0.0017  0.1115  0.4422  0.3415  0.39
Falvay 1989   10  0.811  0.221  0.212  0.699  0.483  0.58
Fiorentino 1962   13  0.8016  0.0114  0.1316  0.4423  0.3316  0.38
Fliere 1977   26  0.7343  0.0025  0.1123  0.3029  0.1923  0.24
Fou 1978   24  0.7424  0.0032  0.0632  0.1335  0.0839  0.10
Francois 1956   55  0.6353  0.0050  0.0545  0.0538  0.0854  0.06
Goldenweiser 1946   64  0.4857  0.0059  0.0464  0.0425  0.2835  0.11
Gornostaeva 1994   60  0.5528  0.0052  0.0462  0.0446  0.0567  0.04
Groot 1988   29  0.7222  0.0029  0.0729  0.1725  0.1528  0.16
Hatto 1993   5  0.8440  0.0010  0.167  0.5819  0.4312  0.50
Hatto 1997   4  0.8433  0.0012  0.238  0.5818  0.4311  0.50
Horszowski 1983   53  0.6465  0.0051  0.0544  0.0523  0.1937  0.10
Indjic 2001   3  0.8414  0.0111  0.186  0.5919  0.449  0.51
Katin 1996   34  0.7017  0.0148  0.0640  0.0639  0.0842  0.07
Kiepura 1999   63  0.5248  0.0064  0.0546  0.0535  0.0655  0.05
Korecka 1992   58  0.5749  0.0063  0.0461  0.0435  0.0759  0.05
Kushner 1990   51  0.656  0.0427  0.0730  0.1627  0.1927  0.17
Lilamand 2001   41  0.6851  0.0040  0.0736  0.0718  0.2731  0.14
Luisada 1990   8  0.8219  0.019  0.1311  0.552  0.691  0.62
Luisada 2008   2  0.845  0.047  0.119  0.583  0.652  0.61
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1951   9  0.823  0.165  0.295  0.5911  0.544  0.56
Malcuzynski 1961   18  0.769  0.026  0.2310  0.5714  0.458  0.51
Magaloff 1977   43  0.6847  0.0049  0.0550  0.0535  0.0848  0.06
Magin 1975   38  0.6825  0.0055  0.0556  0.0546  0.0558  0.05
Meguri 1997   36  0.6929  0.0016  0.1125  0.277  0.3719  0.32
Milkina 1970   25  0.7336  0.0031  0.0731  0.1537  0.0641  0.09
Mohovich 1999   19  0.7515  0.0124  0.1120  0.3445  0.0532  0.13
Nezu 2005   11  0.8120  0.0015  0.1312  0.5320  0.3214  0.41
Ohlsson 1999   27  0.7310  0.0122  0.0918  0.3626  0.2221  0.28
Olejniczak 1990   31  0.7111  0.0133  0.0533  0.0952  0.0453  0.06
Osinska 1989   16  0.784  0.143  0.254  0.6414  0.485  0.55
Perlemuter 1992   59  0.5645  0.0060  0.0463  0.0438  0.0656  0.05
Poblocka 1999   14  0.8052  0.0021  0.0921  0.3232  0.1724  0.23
Rangell 2001   7  0.8237  0.0013  0.1613  0.5312  0.537  0.53
Richter 1960   52  0.6526  0.0041  0.0553  0.0526  0.2536  0.11
Richter 1961   46  0.6742  0.0036  0.0642  0.0631  0.1440  0.09
Rosen 1989   40  0.6832  0.0045  0.0639  0.0634  0.0944  0.07
Rubinstein 1939   42  0.6858  0.0054  0.0637  0.0655  0.0557  0.05
Rubinstein 1952   49  0.6559  0.0056  0.0548  0.0545  0.0665  0.05
Rubinstein 1966   39  0.6854  0.0053  0.0554  0.0542  0.0662  0.05
Rudanovskaya 2007   54  0.6444  0.0047  0.0552  0.0524  0.2834  0.12
Shebanova 2002   23  0.7450  0.0020  0.0924  0.2934  0.0830  0.15
Smith 1975   47  0.6738  0.0039  0.0543  0.0524  0.2238  0.10
Sztompka 1959   57  0.6161  0.0058  0.0549  0.0545  0.0560  0.05
Tanyel 1992   32  0.7113  0.0126  0.0822  0.3124  0.2522  0.28
Tsujii 2005   6  0.838  0.024  0.253  0.6718  0.3513  0.48
Uninsky 1959   48  0.6756  0.0038  0.0735  0.0753  0.0547  0.06
Vardi 1988   33  0.7134  0.0042  0.0551  0.0555  0.0466  0.04
Wasowski 1980   45  0.6760  0.0046  0.0560  0.0520  0.2833  0.12
Zimerman 1975   35  0.7021  0.0044  0.0557  0.0539  0.0751  0.06
Average   1  0.862  0.202  0.241  0.7722  0.3310  0.50
Random 1   66  -0.0767  0.0066  0.0266  0.0227  0.1650  0.06
Random 2   65  0.0063  0.0065  0.0265  0.0220  0.2843  0.07
Random 3   67  -0.1366  0.0067  0.0167  0.0123  0.2263  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).