Luisada 1990

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   49  0.6443  0.0047  0.0748  0.0737  0.0653  0.06
Ashkenazy 1981   5  0.778  0.0310  0.117  0.5624  0.4014  0.47
Beliavsky 2004   44  0.6650  0.0042  0.0649  0.0634  0.0751  0.06
BenOr 1989   9  0.7616  0.0118  0.1115  0.5138  0.0929  0.21
Biret 1990   22  0.7319  0.0021  0.1120  0.4819  0.4215  0.45
Blet 2003   32  0.7010  0.0133  0.1135  0.1119  0.2933  0.18
Block 1995   28  0.7137  0.0032  0.1130  0.2225  0.2726  0.24
Brailowsky 1960   55  0.6331  0.0054  0.0558  0.0540  0.0850  0.06
Chiu 1999   23  0.7324  0.0022  0.1322  0.4724  0.4117  0.44
Clidat 1994   38  0.6939  0.0043  0.0842  0.0837  0.0745  0.07
Cohen 1997   58  0.5562  0.0059  0.0461  0.0459  0.0463  0.04
Coop 1987   11  0.7658  0.0014  0.1314  0.5228  0.3521  0.43
Cortot 1951   47  0.6559  0.0053  0.0652  0.0638  0.0756  0.06
Czerny 1949   20  0.7412  0.0120  0.1418  0.5020  0.4513  0.47
Czerny 1949b   25  0.7220  0.0023  0.1919  0.5022  0.4611  0.48
Ezaki 2006   1  0.801  0.311  0.312  0.6216  0.551  0.58
Falvay 1989   21  0.7415  0.0125  0.1025  0.4041  0.0832  0.18
Ferenczy 1958   60  0.5265  0.0060  0.0463  0.0462  0.0462  0.04
Fiorentino 1962   12  0.7533  0.009  0.125  0.5719  0.494  0.53
Fliere 1977   30  0.7144  0.0031  0.1032  0.2243  0.0737  0.12
Fou 1978   8  0.7617  0.0011  0.119  0.5520  0.439  0.49
Francois 1956   61  0.5147  0.0062  0.0654  0.0656  0.0461  0.05
Hatto 1997   45  0.6657  0.0046  0.1038  0.1053  0.0544  0.07
Horowitz 1971   54  0.6346  0.0052  0.0557  0.0543  0.0660  0.05
Horowitz 1985   59  0.5523  0.0057  0.0559  0.0538  0.0749  0.06
Indjic 2001   41  0.6741  0.0044  0.1037  0.1047  0.0640  0.08
Kapell 1951   10  0.7634  0.0012  0.1712  0.5221  0.3620  0.43
Kiepura 1999   31  0.7129  0.0039  0.0940  0.0923  0.4131  0.19
Kilenyi 1937   15  0.749  0.028  0.2010  0.5424  0.468  0.50
Kissin 1993   13  0.7552  0.0013  0.1411  0.5239  0.0830  0.20
Kitain 1937   62  0.4327  0.0061  0.0560  0.0539  0.0755  0.06
Kushner 1990   35  0.6911  0.0135  0.1234  0.1218  0.4527  0.23
Levy 1951   46  0.6545  0.0040  0.0941  0.0957  0.0542  0.07
Luisada 1990   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Lushtak 2004   33  0.7035  0.0037  0.0843  0.0847  0.0647  0.07
Lympany 1968   48  0.6456  0.0049  0.0844  0.0835  0.0741  0.07
Magaloff 1977   14  0.7528  0.0015  0.1313  0.5213  0.507  0.51
Magaloff 1977b   18  0.7432  0.0019  0.1116  0.5116  0.4612  0.48
Magin 1975   2  0.792  0.192  0.253  0.6020  0.572  0.58
Milkina 1970   43  0.6626  0.0050  0.0746  0.0760  0.0458  0.05
Mohovich 1999   34  0.7060  0.0038  0.1036  0.1043  0.0548  0.07
Nadelmann 1956   26  0.715  0.0434  0.1433  0.1420  0.3228  0.21
Ohlsson 1999   36  0.6954  0.0041  0.0651  0.0638  0.0752  0.06
Olejniczac 1990   6  0.7718  0.007  0.174  0.5916  0.523  0.55
Olejniczak 1991   7  0.7614  0.016  0.138  0.5517  0.506  0.52
Osinska 1989   3  0.784  0.053  0.201  0.6629  0.3016  0.44
Paderewski 1912   50  0.6349  0.0045  0.0845  0.0838  0.0746  0.07
Perahia 1994   57  0.5653  0.0058  0.0656  0.0662  0.0459  0.05
Perlemuter 1986   52  0.6348  0.0055  0.0747  0.0735  0.0743  0.07
Poblocka 1999   4  0.786  0.044  0.196  0.5720  0.475  0.52
Rangell 2001   16  0.7413  0.0117  0.1023  0.4721  0.3822  0.42
Risler 1920   40  0.6825  0.0024  0.1424  0.414  0.5710  0.48
Rosen 1989   53  0.6351  0.0051  0.0655  0.0632  0.1139  0.08
Rubinstein 1939   56  0.5730  0.0056  0.0650  0.0659  0.0457  0.05
Rubinstein 1952   24  0.723  0.165  0.1521  0.4721  0.4218  0.44
Rubinstein 1966   39  0.6822  0.0036  0.0939  0.0926  0.1836  0.13
Rummel 1943   51  0.6340  0.0048  0.0653  0.0642  0.0654  0.06
Shebanova 2002   29  0.7121  0.0030  0.0829  0.2534  0.0934  0.15
Smith 1975   27  0.7142  0.0028  0.1427  0.3631  0.1925  0.26
Szpilman 1948   37  0.6938  0.0027  0.0928  0.3424  0.3324  0.33
Uninsky 1971   42  0.6736  0.0029  0.0931  0.2244  0.0638  0.11
Wasowski 1980   17  0.747  0.0326  0.1126  0.3720  0.4123  0.39
Weissenberg 1971   19  0.7463  0.0016  0.1017  0.5028  0.3719  0.43
Random 1    65  -0.0455  0.0064  0.0264  0.0254  0.0365  0.02
Random 2   63  0.0464  0.0063  0.0462  0.045  0.4735  0.14
Random 3   64  -0.0361  0.0065  0.0265  0.0235  0.0564  0.03

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).