Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   46  0.6213  0.0238  0.0646  0.0639  0.0750  0.06
Ashkenazy 1981   25  0.7123  0.0122  0.0924  0.4020  0.2527  0.32
Beliavsky 2004   36  0.6519  0.0137  0.0836  0.0810  0.4734  0.19
BenOr 1989   19  0.7424  0.0021  0.1220  0.4520  0.3224  0.38
Biret 1990   48  0.6143  0.0047  0.0549  0.0537  0.0752  0.06
Blet 2003   33  0.6740  0.0039  0.0642  0.0626  0.1642  0.10
Block 1995   13  0.7717  0.0116  0.1421  0.449  0.5616  0.50
Brailowsky 1960   57  0.4826  0.0060  0.0361  0.0341  0.0853  0.05
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Clidat 1994   26  0.7054  0.0028  0.1027  0.3120  0.2730  0.29
Cohen 1997   60  0.4436  0.0061  0.0459  0.0447  0.0562  0.04
Coop 1987   1  0.852  0.192  0.333  0.6112  0.563  0.58
Cortot 1951   54  0.5846  0.0057  0.0644  0.067  0.5935  0.19
Czerny 1949   34  0.6715  0.0110  0.1722  0.4220  0.4021  0.41
Czerny 1949b   27  0.7029  0.0013  0.1119  0.4515  0.4619  0.45
Ezaki 2006   2  0.851  0.201  0.202  0.6512  0.611  0.63
Falvay 1989   4  0.8339  0.005  0.354  0.5811  0.558  0.56
Ferenczy 1958   47  0.6262  0.0048  0.0550  0.0526  0.3140  0.12
Fiorentino 1962   23  0.7252  0.0029  0.1229  0.2823  0.4125  0.34
Fliere 1977   18  0.7421  0.0114  0.1111  0.5323  0.4417  0.48
Fou 1978   14  0.7710  0.0217  0.1613  0.5118  0.5015  0.50
Francois 1956   55  0.5751  0.0055  0.0555  0.0561  0.0363  0.04
Hatto 1997   40  0.6356  0.0033  0.0934  0.0914  0.4333  0.20
Horowitz 1971   50  0.5934  0.0050  0.0739  0.0745  0.0651  0.06
Horowitz 1985   59  0.4431  0.0059  0.0362  0.0349  0.0464  0.03
Indjic 2001   44  0.6355  0.0034  0.0738  0.0714  0.4236  0.17
Kapell 1951   11  0.7828  0.0015  0.1018  0.4717  0.4618  0.46
Kiepura 1999   30  0.6959  0.0031  0.1132  0.2218  0.4528  0.31
Kilenyi 1937   10  0.7944  0.007  0.1810  0.5417  0.5511  0.54
Kissin 1993   3  0.844  0.084  0.281  0.668  0.572  0.61
Kitain 1937   62  0.3058  0.0062  0.0548  0.0550  0.0555  0.05
Kushner 1990   31  0.685  0.0732  0.1330  0.2626  0.1732  0.21
Levy 1951   49  0.5941  0.0052  0.0645  0.0635  0.0747  0.06
Luisada 1990   29  0.6922  0.0135  0.0740  0.0724  0.2839  0.14
Lushtak 2004   20  0.7318  0.0127  0.1123  0.4114  0.4720  0.44
Lympany 1968   45  0.6357  0.0049  0.0933  0.0942  0.0843  0.08
Magaloff 1977   15  0.7548  0.0019  0.1015  0.514  0.5813  0.54
Magaloff 1977b   17  0.7416  0.0120  0.1017  0.474  0.5614  0.51
Magin 1975   6  0.8120  0.016  0.287  0.5617  0.5310  0.54
Milkina 1970   37  0.6537  0.0043  0.0553  0.0541  0.0654  0.05
Mohovich 1999   53  0.5827  0.0042  0.0457  0.0458  0.0561  0.04
Nadelmann 1956   52  0.5842  0.0051  0.0554  0.0556  0.0458  0.04
Ohlsson 1999   9  0.797  0.0312  0.229  0.557  0.596  0.57
Olejniczac 1990   24  0.7163  0.0030  0.1031  0.2526  0.3429  0.29
Olejniczak 1991   21  0.7349  0.0024  0.1025  0.4019  0.3623  0.38
Osinska 1989   22  0.7338  0.0026  0.1316  0.5034  0.1031  0.22
Paderewski 1912   35  0.6614  0.0123  0.0828  0.2813  0.3926  0.33
Perahia 1994   61  0.4030  0.0058  0.0460  0.0459  0.0460  0.04
Perlemuter 1986   43  0.6325  0.0036  0.0835  0.0845  0.0646  0.07
Poblocka 1999   8  0.7935  0.008  0.176  0.5714  0.574  0.57
Rangell 2001   7  0.8045  0.0011  0.1612  0.516  0.599  0.55
Risler 1920   16  0.7511  0.0218  0.1314  0.516  0.627  0.56
Rosen 1989   32  0.6747  0.0046  0.0647  0.0623  0.3937  0.15
Rubinstein 1939   58  0.4812  0.0254  0.0458  0.0452  0.0557  0.04
Rubinstein 1952   39  0.6461  0.0045  0.0552  0.0547  0.0556  0.05
Rubinstein 1966   51  0.586  0.0453  0.0741  0.0736  0.0649  0.06
Rummel 1943   56  0.4950  0.0056  0.0456  0.0450  0.0459  0.04
Shebanova 2002   12  0.789  0.029  0.218  0.5513  0.5412  0.54
Smith 1975   38  0.6553  0.0041  0.0737  0.0748  0.0548  0.06
Szpilman 1948   42  0.6364  0.0040  0.0643  0.0639  0.0845  0.07
Uninsky 1971   28  0.6933  0.0025  0.1026  0.3815  0.4022  0.39
Wasowski 1980   41  0.638  0.0244  0.0551  0.0517  0.3938  0.14
Weissenberg 1971   5  0.823  0.133  0.205  0.577  0.585  0.57
Random 1    64  -0.0165  0.0064  0.0264  0.0212  0.3444  0.08
Random 2   63  0.0332  0.0063  0.0363  0.0314  0.4041  0.11
Random 3   65  -0.0660  0.0065  0.0265  0.0237  0.0565  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).