Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   2  0.876  0.063  0.154  0.495  0.5210  0.50
Anderszewski 2003   14  0.819  0.0226  0.1125  0.273  0.4826  0.36
Ashkenazy 1981   47  0.7179  0.0023  0.0724  0.2810  0.4627  0.36
Bacha 2000   69  0.6062  0.0061  0.0552  0.0525  0.2066  0.10
Badura 1965   44  0.7320  0.0140  0.0444  0.1312  0.5340  0.26
Barbosa 1983   77  0.5384  0.0073  0.0473  0.0436  0.1276  0.07
Biret 1990   56  0.6526  0.0158  0.0463  0.0431  0.1968  0.09
Blet 2003   26  0.7864  0.0036  0.0528  0.221  0.5328  0.34
Block 1995   66  0.6230  0.0120  0.0937  0.163  0.4437  0.27
Blumental 1952   67  0.6127  0.0156  0.0467  0.0465  0.0485  0.04
Boshniakovich 1969   10  0.8215  0.0217  0.1013  0.416  0.5714  0.48
Brailowsky 1960   54  0.6911  0.0248  0.0555  0.0511  0.4347  0.15
Bunin 1987   73  0.5587  0.0069  0.0475  0.0422  0.4059  0.13
Bunin 1987b   74  0.5471  0.0068  0.0466  0.0422  0.4055  0.13
Chiu 1999   68  0.6161  0.0057  0.0559  0.0544  0.1269  0.08
Cohen 1997   87  0.3773  0.0080  0.0384  0.0346  0.0686  0.04
Cortot 1951   40  0.7467  0.0045  0.0553  0.0510  0.4749  0.15
Csalog 1996   81  0.4722  0.0172  0.0382  0.0341  0.1278  0.06
Czerny 1949   6  0.8319  0.0114  0.1214  0.414  0.5713  0.48
Czerny 1990   22  0.7948  0.0039  0.0541  0.1523  0.2844  0.20
Duchoud 2007   70  0.6043  0.0055  0.0550  0.056  0.4848  0.15
Ezaki 2006   31  0.7824  0.0142  0.0543  0.1419  0.3843  0.23
Falvay 1989   85  0.4458  0.0087  0.0468  0.0455  0.0681  0.05
Farrell 1958   58  0.6514  0.0259  0.0465  0.0444  0.1274  0.07
Ferenczy 1958   53  0.6960  0.0065  0.0551  0.0518  0.3457  0.13
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   49  0.7034  0.0035  0.0440  0.1511  0.4538  0.26
Francois 1956   62  0.6372  0.0074  0.0558  0.0539  0.1273  0.08
Friedman 1923   28  0.7865  0.0032  0.0535  0.1920  0.4535  0.29
Friedman 1923b   27  0.7866  0.0030  0.0634  0.2019  0.4732  0.31
Friedman 1930   30  0.7840  0.0043  0.0542  0.1413  0.4939  0.26
Garcia 2007   29  0.7874  0.0029  0.0527  0.265  0.5624  0.38
Garcia 2007b   38  0.7454  0.0031  0.0726  0.277  0.5425  0.38
Gierzod 1998   1  0.881  0.161  0.161  0.574  0.651  0.61
Gornostaeva 1994   52  0.6939  0.0050  0.0645  0.0611  0.3552  0.14
Groot 1988   65  0.6225  0.0160  0.0556  0.0516  0.4053  0.14
Harasiewicz 1955   20  0.7949  0.0022  0.0918  0.3810  0.4421  0.41
Hatto 1993   18  0.808  0.038  0.119  0.465  0.587  0.52
Hatto 1997   12  0.813  0.107  0.118  0.466  0.569  0.51
Horowitz 1949   46  0.7241  0.0046  0.0549  0.054  0.5446  0.16
Indjic 1988   11  0.8238  0.009  0.207  0.466  0.568  0.51
Kapell 1951   33  0.7718  0.0115  0.1311  0.432  0.4517  0.44
Kissin 1993   17  0.8012  0.0213  0.1112  0.428  0.5116  0.46
Kushner 1989   19  0.8047  0.0038  0.0631  0.2118  0.4333  0.30
Luisada 1991   9  0.824  0.0710  0.1410  0.462  0.652  0.55
Lushtak 2004   41  0.7451  0.0041  0.0536  0.1812  0.3442  0.25
Malcuzynski 1961   71  0.5786  0.0075  0.0470  0.0441  0.1475  0.07
Magaloff 1978   61  0.6317  0.0162  0.0462  0.0421  0.3060  0.11
Magin 1975   25  0.7832  0.0024  0.0822  0.359  0.5020  0.42
Michalowski 1933   48  0.7152  0.0054  0.0548  0.0517  0.4251  0.14
Milkina 1970   43  0.7368  0.0049  0.0461  0.0425  0.3262  0.11
Mohovich 1999   45  0.7236  0.0051  0.0557  0.0528  0.3558  0.13
Moravec 1969   83  0.4428  0.0186  0.0380  0.0361  0.0487  0.03
Morozova 2008   21  0.7975  0.0025  0.1223  0.317  0.5023  0.39
Neighaus 1950   7  0.8321  0.0112  0.1416  0.418  0.5515  0.47
Niedzielski 1931   32  0.7788  0.0044  0.0839  0.1512  0.4936  0.27
Ohlsson 1999   15  0.8110  0.0211  0.1415  0.416  0.5712  0.48
Osinska 1989   8  0.8216  0.0119  0.1117  0.395  0.6011  0.48
Pachmann 1927   51  0.6959  0.0070  0.0471  0.0412  0.4256  0.13
Paderewski 1930   57  0.6580  0.0066  0.0379  0.0327  0.2767  0.09
Perlemuter 1992   39  0.7446  0.0028  0.0530  0.215  0.4829  0.32
Pierdomenico 2008   82  0.4790  0.0079  0.0385  0.0351  0.0683  0.04
Poblocka 1999   13  0.815  0.074  0.105  0.481  0.613  0.54
Rabcewiczowa 1932   60  0.6569  0.0067  0.0472  0.0443  0.0977  0.06
Rachmaninoff 1923   24  0.7829  0.0127  0.0529  0.215  0.4930  0.32
Rangell 2001   86  0.4050  0.0076  0.0381  0.0343  0.1179  0.06
Richter 1976   50  0.7042  0.0053  0.0646  0.066  0.6045  0.19
Rosen 1989   34  0.7745  0.0037  0.0533  0.2011  0.4731  0.31
Rosenthal 1930   63  0.6376  0.0071  0.0477  0.0417  0.3064  0.11
Rosenthal 1931   75  0.5478  0.0082  0.0386  0.0328  0.2370  0.08
Rosenthal 1931b   76  0.5455  0.0083  0.0476  0.0433  0.1772  0.08
Rosenthal 1931c   72  0.5670  0.0078  0.0474  0.0420  0.3265  0.11
Rosenthal 1931d   78  0.5381  0.0084  0.0464  0.0435  0.1771  0.08
Rossi 2007   80  0.4837  0.0085  0.0383  0.0369  0.0488  0.03
Rubinstein 1939   59  0.6585  0.0064  0.0547  0.0525  0.2561  0.11
Rubinstein 1952   84  0.4431  0.0177  0.0478  0.0446  0.1080  0.06
Rubinstein 1966   55  0.6853  0.0063  0.0469  0.0428  0.3163  0.11
Schilhawsky 1960   3  0.8523  0.015  0.126  0.472  0.634  0.54
Shebanova 2002   5  0.842  0.122  0.152  0.546  0.555  0.54
Smith 1975   35  0.7513  0.0247  0.0460  0.043  0.5150  0.14
Sokolov 2002   64  0.6333  0.0052  0.0554  0.0518  0.3354  0.13
Sztompka 1959   4  0.847  0.036  0.153  0.535  0.536  0.53
Tomsic 1995   79  0.4956  0.0081  0.0287  0.0246  0.0884  0.04
Uninsky 1932   37  0.7457  0.0034  0.0432  0.2017  0.4434  0.30
Uninsky 1971   36  0.7444  0.0021  0.0821  0.3621  0.4222  0.39
Wasowski 1980   42  0.7335  0.0033  0.0538  0.158  0.4341  0.25
Zak 1937   16  0.8182  0.0016  0.1119  0.385  0.5018  0.44
Zak 1951   23  0.7963  0.0018  0.1220  0.374  0.5019  0.43
Random 1   89  -0.2377  0.0089  0.0189  0.0180  0.0290  0.01
Random 2   88  -0.1183  0.0088  0.0288  0.0234  0.1482  0.05
Random 3   90  -0.2589  0.0090  0.0190  0.0170  0.0389  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).