Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   3  0.8130  0.007  0.146  0.534  0.5710  0.55
Anderszewski 2003   39  0.6987  0.0052  0.0549  0.0519  0.3062  0.12
Ashkenazy 1981   35  0.7029  0.0019  0.0822  0.3611  0.4825  0.42
Bacha 2000   72  0.5864  0.0065  0.0467  0.0425  0.3065  0.11
Badura 1965   46  0.6718  0.0133  0.0533  0.263  0.5732  0.38
Barbosa 1983   71  0.5852  0.0059  0.0463  0.0410  0.4653  0.14
Biret 1990   34  0.7069  0.0042  0.0640  0.1518  0.3441  0.23
Blet 2003   13  0.7726  0.0121  0.0918  0.401  0.5915  0.49
Block 1995   65  0.6151  0.0041  0.0642  0.128  0.4340  0.23
Blumental 1952   82  0.4959  0.0083  0.0287  0.0277  0.0288  0.02
Boshniakovich 1969   9  0.797  0.035  0.119  0.513  0.637  0.57
Brailowsky 1960   37  0.7039  0.0050  0.0454  0.047  0.5251  0.14
Bunin 1987   60  0.6356  0.0058  0.0461  0.0415  0.4258  0.13
Bunin 1987b   62  0.6347  0.0057  0.0456  0.0417  0.4357  0.13
Chiu 1999   63  0.6336  0.0037  0.0739  0.172  0.6137  0.32
Cohen 1997   87  0.3668  0.0086  0.0381  0.0340  0.0883  0.05
Cortot 1951   50  0.6680  0.0068  0.0369  0.0335  0.1978  0.08
Csalog 1996   81  0.5040  0.0067  0.0459  0.0430  0.2374  0.10
Czerny 1949   21  0.7562  0.0031  0.0832  0.2813  0.4735  0.36
Czerny 1990   6  0.8034  0.0018  0.0819  0.4011  0.5020  0.45
Duchoud 2007   51  0.6638  0.0047  0.0550  0.0514  0.3954  0.14
Ezaki 2006   4  0.8012  0.0214  0.1215  0.435  0.5216  0.47
Falvay 1989   69  0.5946  0.0061  0.0370  0.0357  0.0684  0.04
Farrell 1958   44  0.6743  0.0055  0.0460  0.0421  0.2670  0.10
Ferenczy 1958   68  0.6176  0.0080  0.0385  0.0357  0.0487  0.03
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   28  0.723  0.103  0.155  0.543  0.653  0.59
Francois 1956   43  0.6884  0.0053  0.0453  0.0425  0.3269  0.11
Friedman 1923   85  0.4537  0.0085  0.0382  0.0336  0.2280  0.08
Friedman 1923b   84  0.4585  0.0084  0.0379  0.0336  0.2277  0.08
Friedman 1930   74  0.5820  0.0171  0.0378  0.0321  0.3968  0.11
Garcia 2007   66  0.6163  0.0063  0.0464  0.047  0.4955  0.14
Garcia 2007b   83  0.4958  0.0073  0.0383  0.0318  0.2479  0.08
Gierzod 1998   5  0.805  0.0510  0.138  0.524  0.618  0.56
Gornostaeva 1994   18  0.7650  0.0032  0.0536  0.243  0.5933  0.38
Groot 1988   31  0.7174  0.0039  0.0537  0.1911  0.5238  0.31
Harasiewicz 1955   41  0.6910  0.0212  0.1116  0.423  0.4921  0.45
Hatto 1993   64  0.6242  0.0034  0.0530  0.297  0.6026  0.42
Hatto 1997   54  0.6575  0.0036  0.0831  0.299  0.5031  0.38
Horowitz 1949   40  0.6948  0.0045  0.0745  0.0710  0.5845  0.20
Indjic 1988   59  0.6361  0.0035  0.0729  0.306  0.6122  0.43
Kapell 1951   27  0.7235  0.0040  0.0638  0.1823  0.3039  0.23
Kissin 1993   8  0.792  0.182  0.192  0.553  0.702  0.62
Kushner 1989   2  0.8124  0.0115  0.1214  0.443  0.5912  0.51
Luisada 1991   16  0.769  0.039  0.1210  0.481  0.639  0.55
Lushtak 2004   30  0.7160  0.0024  0.0724  0.312  0.4930  0.39
Malcuzynski 1961   32  0.7155  0.0051  0.0552  0.0512  0.4252  0.14
Magaloff 1978   24  0.748  0.0320  0.0825  0.312  0.5623  0.42
Magin 1975   29  0.7123  0.0128  0.0627  0.317  0.4929  0.39
Michalowski 1933   78  0.5583  0.0076  0.0374  0.0344  0.1381  0.06
Milkina 1970   25  0.7427  0.0126  0.0623  0.326  0.5424  0.42
Mohovich 1999   19  0.7665  0.0027  0.0526  0.3112  0.5227  0.40
Moravec 1969   80  0.5366  0.0082  0.0375  0.0361  0.0486  0.03
Morozova 2008   23  0.7513  0.0213  0.1513  0.452  0.5514  0.50
Neighaus 1950   1  0.821  0.241  0.241  0.641  0.701  0.67
Niedzielski 1931   52  0.6645  0.0062  0.0372  0.038  0.4660  0.12
Ohlsson 1999   10  0.7932  0.0011  0.1211  0.487  0.5213  0.50
Osinska 1989   7  0.7957  0.0022  0.0821  0.385  0.5717  0.47
Pachmann 1927   55  0.6433  0.0056  0.0455  0.042  0.6648  0.16
Paderewski 1930   49  0.6673  0.0069  0.0384  0.0313  0.3572  0.10
Perlemuter 1992   36  0.7019  0.0129  0.0635  0.244  0.5236  0.35
Pierdomenico 2008   67  0.6171  0.0075  0.0371  0.0324  0.3766  0.11
Poblocka 1999   12  0.7815  0.0116  0.1412  0.472  0.5711  0.52
Rabcewiczowa 1932   57  0.6441  0.0060  0.0466  0.0434  0.2176  0.09
Rachmaninoff 1923   33  0.7121  0.0130  0.0634  0.256  0.5134  0.36
Rangell 2001   70  0.5922  0.0164  0.0465  0.047  0.4656  0.14
Richter 1976   45  0.6744  0.0046  0.0547  0.056  0.5447  0.16
Rosen 1989   20  0.7514  0.0223  0.1020  0.393  0.5618  0.47
Rosenthal 1930   53  0.6672  0.0070  0.0376  0.0312  0.4763  0.12
Rosenthal 1931   75  0.5781  0.0077  0.0286  0.0213  0.5073  0.10
Rosenthal 1931b   76  0.5682  0.0078  0.0377  0.0314  0.4564  0.12
Rosenthal 1931c   56  0.6453  0.0072  0.0368  0.0310  0.5359  0.13
Rosenthal 1931d   73  0.5888  0.0079  0.0551  0.0513  0.4549  0.15
Rossi 2007   86  0.4370  0.0087  0.0458  0.0453  0.0682  0.05
Rubinstein 1939   79  0.5478  0.0081  0.0373  0.038  0.4267  0.11
Rubinstein 1952   77  0.5628  0.0149  0.0548  0.0522  0.4450  0.15
Rubinstein 1966   38  0.7011  0.0248  0.0646  0.065  0.6346  0.19
Schilhawsky 1960   14  0.7777  0.0017  0.1017  0.4010  0.5019  0.45
Shebanova 2002   11  0.786  0.048  0.127  0.522  0.636  0.57
Smith 1975   17  0.7631  0.0025  0.0728  0.308  0.5128  0.39
Sokolov 2002   42  0.6949  0.0043  0.0543  0.1232  0.3444  0.20
Sztompka 1959   26  0.7325  0.0144  0.0741  0.1322  0.3443  0.21
Tomsic 1995   61  0.6379  0.0074  0.0380  0.0328  0.3171  0.10
Uninsky 1932   58  0.6367  0.0066  0.0462  0.0431  0.2675  0.10
Uninsky 1971   47  0.6754  0.0054  0.0457  0.0426  0.3461  0.12
Wasowski 1980   48  0.6717  0.0138  0.0644  0.116  0.4042  0.21
Zak 1937   15  0.7616  0.016  0.104  0.543  0.644  0.59
Zak 1951   22  0.754  0.054  0.153  0.553  0.645  0.59
Random 1   89  -0.1389  0.0089  0.0189  0.0157  0.0489  0.02
Random 2   88  -0.0886  0.0088  0.0288  0.0240  0.1085  0.04
Random 3   90  -0.1490  0.0090  0.0190  0.0187  0.0290  0.01

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).