Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   47  0.6553  0.0051  0.0461  0.0429  0.1747  0.08
Ashkenazy 1981   4  0.8036  0.009  0.123  0.6117  0.475  0.54
Beliavsky 2004   32  0.7225  0.0031  0.0931  0.2213  0.3728  0.29
BenOr 1989   21  0.7519  0.0112  0.128  0.5626  0.3619  0.45
Biret 1990   8  0.7928  0.0014  0.1112  0.5023  0.3720  0.43
Blet 2003   37  0.6943  0.0040  0.0740  0.0745  0.0653  0.06
Block 1995   22  0.7549  0.0025  0.1427  0.3618  0.4023  0.38
Brailowsky 1960   49  0.6565  0.0045  0.0458  0.0432  0.1350  0.07
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Clidat 1994   34  0.7014  0.0137  0.1234  0.1218  0.3434  0.20
Cohen 1997   41  0.6745  0.0046  0.0548  0.059  0.3736  0.14
Coop 1987   3  0.8124  0.004  0.145  0.587  0.592  0.58
Cortot 1951   31  0.7254  0.0036  0.0836  0.0831  0.1244  0.10
Czerny 1949   35  0.7056  0.0033  0.1333  0.1324  0.2735  0.19
Czerny 1949b   50  0.6438  0.0042  0.0551  0.0533  0.1246  0.08
Ezaki 2006   9  0.7910  0.0116  0.1113  0.5016  0.5110  0.50
Falvay 1989   2  0.812  0.113  0.232  0.742  0.731  0.73
Ferenczy 1958   61  0.5244  0.0062  0.0552  0.0563  0.0364  0.04
Fiorentino 1962   17  0.7721  0.007  0.157  0.5616  0.526  0.54
Fliere 1977   26  0.7446  0.0030  0.0829  0.2626  0.2929  0.27
Fou 1978   29  0.7360  0.0029  0.0830  0.2629  0.2031  0.23
Francois 1956   63  0.4533  0.0063  0.0646  0.0636  0.0851  0.07
Hatto 1997   24  0.753  0.0510  0.1026  0.399  0.5517  0.46
Horowitz 1971   59  0.5931  0.0059  0.0643  0.0652  0.0563  0.05
Horowitz 1985   60  0.5461  0.0060  0.0555  0.0534  0.0948  0.07
Indjic 2001   19  0.7611  0.0111  0.1319  0.459  0.5113  0.48
Kapell 1951   11  0.7830  0.0019  0.1222  0.4424  0.3421  0.39
Kiepura 1999   33  0.719  0.0134  0.0738  0.074  0.6632  0.21
Kilenyi 1937   14  0.7817  0.018  0.1410  0.5318  0.537  0.53
Kissin 1993   25  0.7540  0.0021  0.1224  0.4324  0.2926  0.35
Kitain 1937   62  0.5112  0.0161  0.0463  0.0440  0.0662  0.05
Kushner 1990   53  0.6151  0.0058  0.0553  0.0544  0.0558  0.05
Levy 1951   30  0.7315  0.0128  0.1128  0.3630  0.2030  0.27
Luisada 1990   18  0.7713  0.0118  0.1117  0.4812  0.549  0.51
Lushtak 2004   44  0.6739  0.0048  0.0645  0.0628  0.1742  0.10
Lympany 1968   48  0.6534  0.0044  0.0549  0.0530  0.1845  0.09
Magaloff 1977   27  0.7437  0.0026  0.1318  0.4626  0.3122  0.38
Magaloff 1977b   28  0.7442  0.0027  0.1523  0.4425  0.3224  0.38
Magin 1975   13  0.7822  0.0017  0.1420  0.4523  0.5015  0.47
Milkina 1970   45  0.6555  0.0052  0.0554  0.0545  0.0657  0.05
Mohovich 1999   40  0.6862  0.0039  0.0737  0.0748  0.0555  0.06
Nadelmann 1956   36  0.7029  0.0035  0.0641  0.0624  0.2337  0.12
Ohlsson 1999   38  0.6847  0.0032  0.0932  0.1724  0.2633  0.21
Olejniczac 1990   7  0.794  0.052  0.254  0.6016  0.524  0.56
Olejniczak 1991   10  0.7918  0.016  0.136  0.5721  0.478  0.52
Osinska 1989   15  0.7841  0.0013  0.0911  0.5120  0.4018  0.45
Paderewski 1912   57  0.5959  0.0055  0.0647  0.0638  0.0654  0.06
Perahia 1994   55  0.6020  0.0149  0.0457  0.0437  0.0661  0.05
Perlemuter 1986   58  0.5926  0.0043  0.0459  0.0426  0.2741  0.10
Poblocka 1999   5  0.805  0.025  0.179  0.5522  0.4611  0.50
Rangell 2001   6  0.808  0.0115  0.1415  0.5021  0.4812  0.49
Risler 1920   56  0.6058  0.0054  0.0644  0.0630  0.1739  0.10
Rosen 1989   51  0.6332  0.0057  0.0460  0.0447  0.0565  0.04
Rubinstein 1939   52  0.6223  0.0056  0.0550  0.0538  0.0752  0.06
Rubinstein 1952   43  0.6748  0.0047  0.0739  0.0753  0.0556  0.06
Rubinstein 1966   46  0.6516  0.0150  0.0462  0.0435  0.0659  0.05
Rummel 1943   54  0.6063  0.0053  0.0556  0.0541  0.0660  0.05
Shebanova 2002   39  0.687  0.0141  0.0642  0.0625  0.2038  0.11
Smith 1975   20  0.7550  0.0024  0.1225  0.4224  0.2827  0.34
Szpilman 1948   42  0.6752  0.0038  0.0935  0.0940  0.0649  0.07
Uninsky 1971   23  0.7527  0.0020  0.1316  0.4812  0.4716  0.47
Wasowski 1980   16  0.776  0.0223  0.1414  0.5018  0.4514  0.47
Weissenberg 1971   12  0.7835  0.0022  0.1221  0.4527  0.2825  0.35
Average   1  0.861  0.591  0.581  0.8325  0.383  0.56
Random 1    66  0.0057  0.0064  0.0264  0.0213  0.4740  0.10
Random 2   65  0.0166  0.0066  0.0166  0.0135  0.0466  0.02
Random 3   64  0.0264  0.0065  0.0265  0.026  0.5343  0.10

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).