Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   55  0.1613  0.0156  0.0653  0.0661  0.0453  0.05
Ashkenazy 1981   38  0.288  0.0339  0.1037  0.1032  0.1233  0.11
Beliavsky 2004   61  0.0865  0.0061  0.0360  0.0355  0.0462  0.03
BenOr 1989   2  0.631  0.281  0.274  0.688  0.664  0.67
Biret 1990   22  0.3934  0.0020  0.1622  0.5719  0.2625  0.38
Blet 2003   20  0.4122  0.0024  0.1623  0.5427  0.2326  0.35
Block 1995   29  0.3455  0.0026  0.1126  0.5045  0.0628  0.17
Brailowsky 1960   6  0.553  0.104  0.311  0.717  0.702  0.70
Chiu 1999   35  0.2949  0.0034  0.1533  0.1543  0.0534  0.09
Clidat 1994   36  0.2818  0.0138  0.1038  0.1055  0.0541  0.07
Cohen 1997   58  0.1221  0.0057  0.0558  0.0556  0.0361  0.04
Coop 1987   26  0.359  0.0232  0.1632  0.3160  0.0432  0.11
Cortot 1951   62  0.0359  0.0063  0.0263  0.0262  0.0265  0.02
Czerny 1949   12  0.4328  0.007  0.217  0.659  0.617  0.63
Czerny 1949b   25  0.3553  0.0025  0.2424  0.5422  0.3322  0.42
Ezaki 2006   1  0.632  0.262  0.495  0.678  0.655  0.66
Falvay 1989   13  0.4311  0.0117  0.1115  0.6122  0.4217  0.51
Ferenczy 1958   4  0.587  0.036  0.522  0.704  0.721  0.71
Fiorentino 1962   16  0.4260  0.0018  0.1519  0.5915  0.5314  0.56
Fliere 1977   31  0.3151  0.0031  0.1131  0.3438  0.0630  0.14
Fou 1978   3  0.596  0.033  0.346  0.678  0.666  0.66
Francois 1956   45  0.2437  0.0045  0.0745  0.0754  0.0458  0.05
Hatto 1997   59  0.1057  0.0059  0.0359  0.0359  0.0363  0.03
Horowitz 1971   40  0.2740  0.0033  0.1236  0.1244  0.0536  0.08
Horowitz 1985   33  0.3042  0.0027  0.1229  0.4141  0.0827  0.18
Indjic 2001   60  0.0843  0.0060  0.0361  0.0359  0.0364  0.03
Kapell 1951   24  0.3746  0.0022  0.1225  0.5117  0.4520  0.48
Kiepura 1999   27  0.3545  0.0028  0.1827  0.4538  0.0629  0.16
Kilenyi 1937   9  0.4626  0.009  0.3311  0.6216  0.609  0.61
Kissin 1993   57  0.1320  0.0058  0.0657  0.0655  0.0450  0.05
Kitain 1937   56  0.1633  0.0053  0.0748  0.0752  0.0457  0.05
Kushner 1990   17  0.4227  0.0014  0.1814  0.6122  0.3918  0.49
Levy 1951   23  0.3835  0.0021  0.1617  0.5911  0.5413  0.56
Luisada 1990   30  0.3412  0.0129  0.1328  0.4321  0.3424  0.38
Lushtak 2004   54  0.1863  0.0055  0.0749  0.0761  0.0454  0.05
Lympany 1968   37  0.284  0.0537  0.1039  0.1051  0.0538  0.07
Magaloff 1977   49  0.2152  0.0049  0.0654  0.0654  0.0452  0.05
Magaloff 1977b   50  0.2047  0.0050  0.0751  0.0761  0.0356  0.05
Magin 1975   10  0.4614  0.0110  0.229  0.6416  0.5511  0.59
Milkina 1970   42  0.2732  0.0043  0.0656  0.0657  0.0449  0.05
Mohovich 1999   52  0.1838  0.0052  0.0750  0.0754  0.0545  0.06
Nadelmann 1956   28  0.3423  0.0030  0.1430  0.4155  0.0431  0.13
Ohlsson 1999   34  0.3025  0.0036  0.1335  0.1358  0.0439  0.07
Olejniczac 1990   15  0.4348  0.0016  0.1316  0.5916  0.5215  0.55
Olejniczak 1991   21  0.4044  0.0023  0.1621  0.5723  0.2723  0.39
Osinska 1989   5  0.5810  0.015  0.333  0.697  0.663  0.67
Paderewski 1912   46  0.2417  0.0147  0.0844  0.0844  0.0543  0.06
Perahia 1994   39  0.2854  0.0040  0.0942  0.0961  0.0444  0.06
Perlemuter 1986   32  0.3141  0.0035  0.1434  0.1462  0.0440  0.07
Poblocka 1999   11  0.4531  0.008  0.2813  0.628  0.5810  0.60
Rangell 2001   43  0.265  0.0548  0.0940  0.0934  0.0837  0.08
Risler 1920   48  0.2261  0.0046  0.0941  0.0961  0.0346  0.05
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   51  0.1919  0.0051  0.0747  0.0755  0.0347  0.05
Rubinstein 1952   14  0.4316  0.0115  0.1712  0.6224  0.3919  0.49
Rubinstein 1966   8  0.4624  0.0011  0.218  0.6518  0.4316  0.53
Rummel 1943   53  0.1858  0.0054  0.0652  0.0652  0.0455  0.05
Shebanova 2002   7  0.4715  0.0112  0.2810  0.636  0.628  0.62
Smith 1975   41  0.2729  0.0041  0.0943  0.0956  0.0442  0.06
Szpilman 1948   18  0.4150  0.0013  0.2518  0.5915  0.5812  0.58
Uninsky 1971   47  0.2336  0.0044  0.0655  0.0656  0.0551  0.05
Wasowski 1980   19  0.4139  0.0019  0.2120  0.5720  0.3321  0.43
Weissenberg 1971   44  0.2562  0.0042  0.0746  0.0762  0.0448  0.05
Random 1    63  0.0056  0.0062  0.0362  0.0323  0.2335  0.08
Random 2   64  0.0030  0.0064  0.0264  0.0235  0.0759  0.04
Random 3   65  -0.0164  0.0065  0.0265  0.0232  0.1060  0.04

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).