Lushtak 2004

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   41  0.6617  0.0132  0.0731  0.1422  0.2823  0.20
Ashkenazy 1981   5  0.745  0.055  0.257  0.6526  0.3110  0.45
Beliavsky 2004   51  0.6239  0.0053  0.0556  0.0557  0.0462  0.04
BenOr 1989   8  0.7322  0.008  0.129  0.5942  0.0819  0.22
Biret 1990   24  0.7057  0.0022  0.1018  0.4049  0.0631  0.15
Blet 2003   36  0.6831  0.0041  0.0840  0.0836  0.0944  0.08
Block 1995   23  0.7016  0.0131  0.0730  0.1428  0.2327  0.18
Brailowsky 1960   55  0.5959  0.0060  0.0457  0.0447  0.0659  0.05
Chiu 1999   20  0.7011  0.0115  0.0820  0.3833  0.1517  0.24
Clidat 1994   21  0.7018  0.0118  0.0919  0.3922  0.2314  0.30
Cohen 1997   58  0.5854  0.0061  0.0461  0.0432  0.1546  0.08
Coop 1987   7  0.736  0.036  0.275  0.6833  0.1513  0.32
Cortot 1951   15  0.7112  0.0125  0.1225  0.301  0.758  0.47
Czerny 1949   43  0.6653  0.0040  0.0649  0.0642  0.0756  0.06
Czerny 1949b   17  0.7023  0.009  0.168  0.5924  0.406  0.49
Ezaki 2006   2  0.752  0.204  0.292  0.7330  0.327  0.48
Falvay 1989   3  0.7410  0.017  0.246  0.6824  0.403  0.52
Ferenczy 1958   52  0.6247  0.0054  0.0459  0.0442  0.0760  0.05
Fiorentino 1962   31  0.6965  0.0035  0.1034  0.1037  0.0943  0.09
Fliere 1977   9  0.7224  0.0016  0.0912  0.5145  0.0629  0.17
Fou 1978   28  0.6928  0.0027  0.0826  0.2542  0.0833  0.14
Francois 1956   57  0.5850  0.0058  0.0553  0.0517  0.4632  0.15
Hatto 1997   25  0.6946  0.0023  0.1217  0.4115  0.509  0.45
Horowitz 1971   48  0.6413  0.0147  0.0935  0.0919  0.3628  0.18
Horowitz 1985   61  0.5520  0.0057  0.0552  0.0526  0.2537  0.11
Indjic 2001   30  0.6955  0.0029  0.0928  0.2228  0.2318  0.22
Kapell 1951   19  0.7045  0.0020  0.1221  0.3737  0.0925  0.18
Kiepura 1999   35  0.6825  0.0039  0.0648  0.0624  0.3930  0.15
Kilenyi 1937   47  0.6464  0.0048  0.0936  0.0953  0.0648  0.07
Kissin 1993   6  0.741  0.261  0.254  0.7036  0.1016  0.26
Kitain 1937   62  0.4627  0.0062  0.0650  0.0629  0.2336  0.12
Kushner 1990   18  0.7021  0.0021  0.1213  0.478  0.612  0.54
Levy 1951   44  0.6634  0.0038  0.0743  0.0758  0.0553  0.06
Luisada 1990   22  0.7035  0.0033  0.0647  0.0643  0.0850  0.07
Lushtak 2004   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lympany 1968   16  0.717  0.0211  0.1014  0.467  0.554  0.50
Magaloff 1977   39  0.6742  0.0044  0.0839  0.0833  0.1042  0.09
Magaloff 1977b   37  0.6838  0.0043  0.0744  0.0736  0.0945  0.08
Magin 1975   12  0.7219  0.0124  0.1224  0.3233  0.1421  0.21
Milkina 1970   11  0.7215  0.0112  0.1010  0.5415  0.475  0.50
Mohovich 1999   38  0.6744  0.0037  0.0746  0.0751  0.0557  0.06
Nadelmann 1956   40  0.6643  0.0046  0.1133  0.1136  0.0841  0.09
Ohlsson 1999   50  0.6336  0.0049  0.0742  0.0735  0.0847  0.07
Olejniczac 1990   29  0.6956  0.0034  0.0745  0.0741  0.0849  0.07
Olejniczak 1991   27  0.6940  0.0026  0.0822  0.3434  0.1320  0.21
Osinska 1989   1  0.764  0.123  0.233  0.7333  0.1115  0.28
Paderewski 1912   54  0.6052  0.0050  0.0458  0.0458  0.0463  0.04
Perahia 1994   46  0.659  0.0114  0.0929  0.209  0.5312  0.33
Perlemuter 1986   45  0.6533  0.0042  0.0838  0.0818  0.3926  0.18
Poblocka 1999   13  0.7129  0.0017  0.1015  0.4540  0.0724  0.18
Rangell 2001   32  0.6941  0.0036  0.0741  0.0739  0.0851  0.07
Risler 1920   60  0.5661  0.0055  0.0460  0.0439  0.1052  0.06
Rosen 1989   49  0.6451  0.0052  0.0554  0.0547  0.0661  0.05
Rubinstein 1939   56  0.5948  0.0056  0.0555  0.0536  0.0854  0.06
Rubinstein 1952   33  0.6830  0.0030  0.0732  0.1433  0.0838  0.11
Rubinstein 1966   42  0.6632  0.0045  0.0837  0.0855  0.0455  0.06
Rummel 1943   59  0.5658  0.0059  0.0363  0.0350  0.0464  0.03
Shebanova 2002   4  0.743  0.162  0.241  0.735  0.661  0.69
Smith 1975   34  0.6837  0.0028  0.0927  0.2442  0.0734  0.13
Szpilman 1948   53  0.6149  0.0051  0.0551  0.0549  0.0658  0.05
Uninsky 1971   26  0.698  0.0219  0.1023  0.3351  0.0535  0.13
Wasowski 1980   14  0.7114  0.0113  0.0916  0.4331  0.2911  0.35
Weissenberg 1971   10  0.7226  0.0010  0.1411  0.5338  0.0822  0.21
Random 1    64  -0.0163  0.0064  0.0364  0.0310  0.3439  0.10
Random 2   63  0.0260  0.0063  0.0362  0.0320  0.3540  0.10
Random 3   65  -0.0762  0.0065  0.0265  0.0260  0.0265  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).