Perlemuter 1986

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   33  0.4222  0.0030  0.1224  0.263  0.6721  0.42
Ashkenazy 1981   29  0.4327  0.0013  0.0918  0.3811  0.5519  0.46
Beliavsky 2004   55  0.3357  0.0040  0.0735  0.0716  0.4132  0.17
BenOr 1989   11  0.4920  0.0010  0.1510  0.5725  0.5012  0.53
Biret 1990   36  0.4131  0.0037  0.0833  0.0836  0.0750  0.07
Blet 2003   43  0.3923  0.0034  0.0547  0.0540  0.0660  0.05
Block 1995   50  0.3545  0.0047  0.0555  0.0556  0.0463  0.04
Brailowsky 1960   18  0.4524  0.0039  0.0734  0.0737  0.1043  0.08
Chiu 1999   53  0.3319  0.0057  0.0557  0.0547  0.0558  0.05
Clidat 1994   37  0.4152  0.0029  0.0928  0.2212  0.4025  0.30
Cohen 1997   45  0.3835  0.0028  0.0723  0.262  0.6922  0.42
Coop 1987   2  0.5614  0.014  0.242  0.781  0.703  0.74
Cortot 1951   62  0.2653  0.0062  0.0550  0.0533  0.1151  0.07
Czerny 1949   52  0.3337  0.0059  0.0546  0.0554  0.0561  0.05
Czerny 1949b   61  0.2765  0.0061  0.0551  0.0546  0.0659  0.05
Ezaki 2006   47  0.3763  0.0051  0.0459  0.0436  0.1052  0.06
Falvay 1989   8  0.517  0.0111  0.129  0.576  0.648  0.60
Ferenczy 1958   51  0.3434  0.0041  0.0637  0.0644  0.0755  0.06
Fiorentino 1962   39  0.4160  0.0042  0.0643  0.0632  0.1741  0.10
Fliere 1977   27  0.4315  0.0119  0.0722  0.303  0.5920  0.42
Fou 1978   48  0.3647  0.0052  0.0554  0.0536  0.0946  0.07
Francois 1956   10  0.509  0.0112  0.1316  0.402  0.7113  0.53
Hatto 1997   9  0.5025  0.009  0.138  0.584  0.686  0.63
Horowitz 1971   46  0.3733  0.0050  0.0556  0.0551  0.0562  0.05
Horowitz 1985   57  0.3151  0.0058  0.0458  0.0448  0.0756  0.05
Indjic 2001   7  0.5111  0.018  0.157  0.593  0.687  0.63
Kapell 1951   30  0.436  0.0217  0.1026  0.2318  0.4324  0.31
Kiepura 1999   25  0.4454  0.0024  0.0732  0.1232  0.1338  0.12
Kilenyi 1937   38  0.4144  0.0043  0.0641  0.0628  0.2239  0.11
Kissin 1993   41  0.4048  0.0049  0.0552  0.0531  0.1444  0.08
Kitain 1937   60  0.3061  0.0046  0.0549  0.0522  0.3637  0.13
Kushner 1990   5  0.524  0.085  0.246  0.626  0.705  0.66
Levy 1951   44  0.3816  0.0038  0.0638  0.0623  0.3434  0.14
Luisada 1990   49  0.3658  0.0060  0.0545  0.0534  0.0948  0.07
Lushtak 2004   17  0.4636  0.0016  0.1311  0.5212  0.5411  0.53
Lympany 1968   20  0.4546  0.0021  0.0714  0.414  0.6315  0.51
Magaloff 1977   56  0.3256  0.0054  0.0544  0.0530  0.2140  0.10
Magaloff 1977b   58  0.3132  0.0053  0.0460  0.0427  0.2042  0.09
Magin 1975   35  0.4229  0.0045  0.0736  0.0741  0.0845  0.07
Milkina 1970   4  0.551  0.361  0.363  0.753  0.732  0.74
Mohovich 1999   15  0.475  0.067  0.1812  0.485  0.6410  0.55
Nadelmann 1956   3  0.553  0.093  0.254  0.742  0.654  0.69
Ohlsson 1999   24  0.4449  0.0023  0.0920  0.3212  0.4123  0.36
Olejniczac 1990   21  0.4512  0.0127  0.0729  0.1820  0.4427  0.28
Olejniczak 1991   12  0.4821  0.0018  0.0917  0.3812  0.5918  0.47
Osinska 1989   1  0.602  0.262  0.371  0.812  0.741  0.77
Paderewski 1912   31  0.4343  0.0033  0.0548  0.0512  0.3835  0.14
Perahia 1994   40  0.4013  0.0122  0.0725  0.2328  0.2029  0.21
Perlemuter 1986   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   22  0.4510  0.0131  0.0731  0.1420  0.2930  0.20
Rangell 2001   19  0.4518  0.0025  0.0719  0.356  0.6617  0.48
Risler 1920   54  0.3328  0.0056  0.0461  0.0437  0.0757  0.05
Rosen 1989   59  0.3138  0.0055  0.0462  0.0434  0.1449  0.07
Rubinstein 1939   13  0.4726  0.0014  0.1013  0.4811  0.5216  0.50
Rubinstein 1952   28  0.4330  0.0015  0.1221  0.3229  0.2528  0.28
Rubinstein 1966   6  0.528  0.016  0.275  0.6712  0.549  0.60
Rummel 1943   23  0.4417  0.0044  0.0640  0.0615  0.3036  0.13
Shebanova 2002   32  0.4339  0.0036  0.0639  0.0635  0.0847  0.07
Smith 1975   14  0.4750  0.0026  0.0727  0.226  0.3526  0.28
Szpilman 1948   16  0.4641  0.0020  0.0915  0.407  0.6714  0.52
Uninsky 1971   42  0.3955  0.0048  0.0553  0.0535  0.0754  0.06
Wasowski 1980   34  0.4242  0.0032  0.0730  0.1428  0.2131  0.17
Weissenberg 1971   26  0.4340  0.0035  0.0642  0.0614  0.4233  0.16
Random 1    65  -0.0359  0.0063  0.0263  0.0229  0.1753  0.06
Random 2   64  -0.0362  0.0064  0.0264  0.0240  0.0564  0.03
Random 3   63  0.0064  0.0065  0.0265  0.0251  0.0365  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).