Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.7413  0.018  0.1111  0.4324  0.303  0.36
Ashkenazy 1981   28  0.7715  0.0133  0.0547  0.0553  0.0551  0.05
Beliavsky 2004   11  0.8255  0.0021  0.0916  0.3516  0.344  0.34
BenOr 1989   5  0.846  0.034  0.103  0.5634  0.098  0.22
Biret 1990   58  0.6434  0.0058  0.0454  0.0449  0.0561  0.04
Blet 2003   25  0.773  0.083  0.176  0.5025  0.185  0.30
Block 1995   54  0.6757  0.0049  0.0457  0.0442  0.0650  0.05
Brailowsky 1960   14  0.8130  0.009  0.0915  0.377  0.482  0.42
Chiu 1999   55  0.6760  0.0054  0.0363  0.0351  0.0558  0.04
Clidat 1994   16  0.8110  0.0212  0.109  0.4644  0.0612  0.17
Cohen 1997   62  0.4722  0.0162  0.0641  0.0620  0.2427  0.12
Coop 1987   45  0.7346  0.0043  0.0833  0.0857  0.0442  0.06
Cortot 1951   30  0.7741  0.0042  0.0737  0.0716  0.3515  0.16
Czerny 1949   12  0.8158  0.0022  0.0822  0.2458  0.0433  0.10
Czerny 1949b   3  0.8550  0.0015  0.1013  0.4150  0.0518  0.14
Ezaki 2006   21  0.7831  0.0029  0.0629  0.1857  0.0536  0.09
Falvay 1989   39  0.7425  0.0132  0.0732  0.1346  0.0732  0.10
Ferenczy 1958   52  0.6828  0.0023  0.0724  0.2238  0.0725  0.12
Fiorentino 1962   29  0.7763  0.0040  0.0638  0.0658  0.0552  0.05
Fliere 1977   7  0.8324  0.0111  0.094  0.5250  0.0611  0.18
Fou 1978   17  0.8052  0.0010  0.0712  0.4255  0.0519  0.14
Francois 1956   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Hatto 1997   46  0.7339  0.0025  0.0827  0.1956  0.0439  0.09
Horowitz 1971   38  0.748  0.0228  0.0723  0.2428  0.1810  0.21
Horowitz 1985   59  0.6342  0.0060  0.0358  0.0347  0.0656  0.04
Indjic 2001   44  0.7318  0.0124  0.0626  0.2048  0.0535  0.10
Kapell 1951   41  0.7433  0.0044  0.0735  0.0751  0.0541  0.06
Kiepura 1999   20  0.7832  0.0046  0.0552  0.0557  0.0455  0.04
Kilenyi 1937   26  0.7723  0.0137  0.0644  0.0653  0.0643  0.06
Kissin 1993   33  0.7617  0.0113  0.0918  0.3247  0.0620  0.14
Kitain 1937   61  0.5312  0.0152  0.0359  0.0310  0.4528  0.12
Kushner 1990   24  0.789  0.027  0.0920  0.3055  0.0430  0.11
Levy 1951   60  0.6219  0.0159  0.0549  0.0550  0.0459  0.04
Luisada 1990   8  0.8345  0.0020  0.0719  0.3046  0.0622  0.13
Lushtak 2004   10  0.8240  0.0014  0.1310  0.4556  0.0423  0.13
Lympany 1968   32  0.7611  0.0141  0.0734  0.0741  0.0540  0.06
Magaloff 1977   18  0.7956  0.0026  0.0821  0.2640  0.0721  0.13
Magaloff 1977b   19  0.7954  0.0027  0.0825  0.2042  0.0726  0.12
Magin 1975   43  0.7438  0.0053  0.0360  0.0363  0.0362  0.03
Milkina 1970   13  0.814  0.0417  0.107  0.5032  0.116  0.23
Mohovich 1999   9  0.8216  0.016  0.1017  0.3540  0.0714  0.16
Nadelmann 1956   47  0.7235  0.0019  0.1028  0.1957  0.0438  0.09
Ohlsson 1999   57  0.6426  0.0161  0.0453  0.0455  0.0460  0.04
Olejniczac 1990   27  0.7761  0.0038  0.0736  0.0756  0.0544  0.06
Olejniczak 1991   40  0.7459  0.0047  0.0546  0.0552  0.0547  0.05
Osinska 1989   2  0.852  0.222  0.272  0.5953  0.0416  0.15
Paderewski 1912   23  0.7853  0.0031  0.0731  0.1642  0.0634  0.10
Perahia 1994   56  0.6536  0.0051  0.0456  0.0421  0.2831  0.11
Perlemuter 1986   1  0.861  0.341  0.331  0.6322  0.291  0.43
Poblocka 1999   36  0.7537  0.0048  0.0548  0.0561  0.0457  0.04
Rangell 2001   49  0.7149  0.0056  0.0551  0.0554  0.0553  0.05
Risler 1920   51  0.6947  0.0057  0.0545  0.0552  0.0546  0.05
Rosen 1989   37  0.7529  0.0030  0.0730  0.1827  0.1613  0.17
Rubinstein 1939   50  0.7144  0.0050  0.0455  0.0420  0.3029  0.11
Rubinstein 1952   34  0.7621  0.0139  0.0640  0.0651  0.0454  0.05
Rubinstein 1966   48  0.7143  0.0036  0.0642  0.0654  0.0448  0.05
Rummel 1943   22  0.7820  0.0134  0.0639  0.0617  0.2724  0.13
Shebanova 2002   31  0.775  0.0335  0.0643  0.0658  0.0449  0.05
Smith 1975   6  0.8314  0.0116  0.118  0.4757  0.0417  0.14
Szpilman 1948   15  0.817  0.025  0.115  0.5133  0.099  0.21
Uninsky 1971   4  0.8451  0.0018  0.1014  0.3731  0.147  0.23
Wasowski 1980   35  0.7648  0.0045  0.0550  0.0546  0.0545  0.05
Weissenberg 1971   53  0.6727  0.0155  0.0362  0.0355  0.0463  0.03
Random 1    64  -0.0762  0.0064  0.0364  0.0313  0.2937  0.09
Random 2   63  -0.0464  0.0063  0.0361  0.0350  0.0364  0.03
Random 3   65  -0.2265  0.0065  0.0265  0.0260  0.0265  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).