Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   28  0.5224  0.0141  0.0442  0.1271  0.0351  0.06
Anderszewski 2003   78  0.2983  0.0078  0.0379  0.0371  0.0378  0.03
Ashkenazy 1981   26  0.5313  0.0217  0.0819  0.3646  0.0536  0.13
Bacha 2000   37  0.5017  0.0119  0.0717  0.396  0.529  0.45
Badura 1965   58  0.4043  0.0060  0.0465  0.0451  0.0468  0.04
Barbosa 1983   3  0.673  0.083  0.102  0.607  0.512  0.55
Biret 1990   16  0.588  0.037  0.148  0.536  0.476  0.50
Blet 2003   20  0.5658  0.0038  0.0440  0.1346  0.0641  0.09
Block 1995   67  0.3539  0.0075  0.0373  0.0364  0.0483  0.03
Blumental 1952   60  0.3949  0.0064  0.0471  0.0440  0.1146  0.07
Boshniakovich 1969   31  0.5179  0.0050  0.0459  0.0443  0.1247  0.07
Brailowsky 1960   14  0.5984  0.0029  0.1025  0.3120  0.3518  0.33
Bunin 1987   45  0.4659  0.0057  0.0551  0.0563  0.0469  0.04
Bunin 1987b   43  0.4751  0.0056  0.0550  0.0561  0.0461  0.04
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   70  0.3411  0.0262  0.0467  0.0418  0.3537  0.12
Cortot 1951   81  0.2782  0.0085  0.0287  0.0276  0.0391  0.02
Csalog 1996   61  0.3950  0.0048  0.0555  0.0520  0.3934  0.14
Czerny 1949   57  0.4060  0.0071  0.0470  0.0476  0.0381  0.03
Czerny 1990   32  0.5128  0.0042  0.0535  0.1652  0.0542  0.09
Duchoud 2007   39  0.4921  0.0121  0.1018  0.3735  0.2422  0.30
Ezaki 2006   23  0.5577  0.0037  0.0536  0.1462  0.0444  0.07
Falvay 1989   7  0.6410  0.0212  0.1110  0.4928  0.2317  0.34
Farrell 1958   42  0.4761  0.0046  0.0648  0.0626  0.2138  0.11
Ferenczy 1958   86  0.2085  0.0086  0.0384  0.0383  0.0289  0.02
Fliere 1977   6  0.642  0.182  0.211  0.6110  0.415  0.50
Fou 1978   8  0.6415  0.0211  0.107  0.5315  0.447  0.48
Francois 1956   56  0.4145  0.0054  0.0552  0.0567  0.0472  0.04
Friedman 1923   88  0.0844  0.0088  0.0288  0.0270  0.0586  0.03
Friedman 1923b   87  0.1038  0.0087  0.0286  0.0256  0.0584  0.03
Friedman 1930   85  0.2232  0.0079  0.0385  0.0382  0.0380  0.03
Garcia 2007   72  0.3264  0.0082  0.0554  0.0543  0.1243  0.08
Garcia 2007b   76  0.3169  0.0081  0.0380  0.0349  0.0573  0.04
Gierzod 1998   48  0.4472  0.0045  0.0641  0.1273  0.0352  0.06
Gornostaeva 1994   41  0.4775  0.0055  0.0647  0.0662  0.0456  0.05
Groot 1988   34  0.5162  0.0031  0.0728  0.2539  0.1331  0.18
Harasiewicz 1955   36  0.5066  0.0053  0.0646  0.0683  0.0370  0.04
Hatto 1993   66  0.3653  0.0024  0.0633  0.2125  0.2328  0.22
Hatto 1997   63  0.3840  0.0025  0.0834  0.2029  0.1929  0.19
Horowitz 1949   25  0.5418  0.0126  0.0822  0.3519  0.3219  0.33
Indjic 1988   65  0.3674  0.0022  0.0630  0.2229  0.2327  0.22
Kapell 1951   69  0.3452  0.0074  0.0377  0.0365  0.0475  0.03
Kissin 1993   18  0.5770  0.0027  0.0620  0.3632  0.2423  0.29
Kushner 1989   30  0.5146  0.0036  0.0539  0.1359  0.0445  0.07
Luisada 1991   10  0.6267  0.0015  0.1814  0.468  0.4310  0.44
Lushtak 2004   13  0.5919  0.0128  0.0726  0.3166  0.0439  0.11
Malcuzynski 1961   44  0.4663  0.0051  0.0553  0.0562  0.0462  0.04
Magaloff 1978   38  0.4925  0.0123  0.0623  0.3541  0.1526  0.23
Magin 1975   54  0.4247  0.0047  0.0461  0.0455  0.0459  0.04
Michalowski 1933   80  0.2742  0.0073  0.0375  0.0360  0.0563  0.04
Milkina 1970   33  0.5173  0.0014  0.1516  0.4214  0.4212  0.42
Mohovich 1999   19  0.5741  0.0032  0.0729  0.2446  0.0540  0.11
Moravec 1969   50  0.4371  0.0044  0.0537  0.1433  0.1832  0.16
Morozova 2008   11  0.619  0.0216  0.1413  0.4714  0.2616  0.35
Neighaus 1950   12  0.607  0.0410  0.0912  0.4731  0.2715  0.36
Niedzielski 1931   82  0.2736  0.0067  0.0463  0.0455  0.0458  0.04
Ohlsson 1999   21  0.5612  0.0213  0.1311  0.4715  0.3911  0.43
Osinska 1989   35  0.5078  0.0043  0.0544  0.1065  0.0448  0.06
Pachmann 1927   5  0.654  0.084  0.124  0.574  0.591  0.58
Paderewski 1930   73  0.3254  0.0068  0.0374  0.0376  0.0288  0.02
Perlemuter 1992   24  0.5457  0.0052  0.0549  0.0554  0.0554  0.05
Pierdomenico 2008   15  0.5926  0.0130  0.1324  0.3424  0.2821  0.31
Poblocka 1999   49  0.4334  0.0049  0.0460  0.0455  0.0457  0.04
Rabcewiczowa 1932   59  0.4037  0.0058  0.0464  0.0461  0.0460  0.04
Rachmaninoff 1923   47  0.4520  0.0134  0.0532  0.2135  0.1530  0.18
Rangell 2001   40  0.4814  0.0218  0.0721  0.3610  0.3814  0.37
Richter 1976   64  0.3855  0.0061  0.0469  0.0475  0.0376  0.03
Rosen 1989   17  0.5831  0.0020  0.0815  0.4219  0.4213  0.42
Rosenthal 1930   84  0.2235  0.0080  0.0383  0.0370  0.0382  0.03
Rosenthal 1931   77  0.3088  0.0076  0.0382  0.0351  0.0565  0.04
Rosenthal 1931b   71  0.3386  0.0066  0.0456  0.0449  0.0571  0.04
Rosenthal 1931c   83  0.2480  0.0077  0.0376  0.0368  0.0385  0.03
Rosenthal 1931d   68  0.3489  0.0065  0.0466  0.0442  0.1053  0.06
Rossi 2007   75  0.3287  0.0084  0.0381  0.0379  0.0287  0.02
Rubinstein 1939   79  0.2923  0.0163  0.0457  0.0415  0.4335  0.13
Rubinstein 1952   27  0.5229  0.0033  0.0631  0.2218  0.4620  0.32
Rubinstein 1966   46  0.4616  0.0135  0.0638  0.1422  0.4324  0.25
Schilhawsky 1960   53  0.4256  0.0059  0.0458  0.0470  0.0379  0.03
Shebanova 2002   2  0.686  0.056  0.123  0.596  0.523  0.55
Smith 1975   22  0.5581  0.0040  0.0543  0.1174  0.0349  0.06
Sokolov 2002   62  0.3976  0.0072  0.0462  0.0468  0.0374  0.03
Sztompka 1959   74  0.3268  0.0083  0.0378  0.0374  0.0377  0.03
Tomsic 1995   29  0.5233  0.0039  0.0445  0.0952  0.0450  0.06
Uninsky 1932   52  0.4327  0.0169  0.0472  0.0453  0.0566  0.04
Uninsky 1971   55  0.4248  0.0070  0.0468  0.0462  0.0464  0.04
Wasowski 1980   51  0.435  0.075  0.1327  0.2528  0.2225  0.23
Zak 1937   1  0.681  0.181  0.186  0.558  0.484  0.51
Zak 1951   4  0.6722  0.018  0.149  0.5214  0.428  0.47
Average   9  0.6330  0.009  0.145  0.5661  0.0433  0.15
Random 1   89  0.0665  0.0091  0.0191  0.0123  0.2955  0.05
Random 2   91  -0.1190  0.0090  0.0190  0.0131  0.1867  0.04
Random 3   90  0.0291  0.0089  0.0189  0.0152  0.0590  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).