Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   36  0.5858  0.0056  0.0561  0.0538  0.1267  0.08
Anderszewski 2003   72  0.4355  0.0074  0.0475  0.0480  0.0284  0.03
Ashkenazy 1981   16  0.6510  0.0212  0.129  0.5814  0.4618  0.52
Bacha 2000   75  0.4086  0.0082  0.0380  0.0364  0.0483  0.03
Badura 1965   65  0.4966  0.0053  0.0465  0.0412  0.4555  0.13
Barbosa 1983   54  0.5351  0.0026  0.0627  0.2517  0.4526  0.34
Biret 1990   56  0.5287  0.0071  0.0472  0.0460  0.0481  0.04
Blet 2003   13  0.6626  0.0019  0.1411  0.562  0.638  0.59
Block 1995   35  0.5929  0.0024  0.0729  0.235  0.5524  0.36
Blumental 1952   78  0.3731  0.0075  0.0381  0.0356  0.0487  0.03
Boshniakovich 1969   8  0.683  0.064  0.146  0.612  0.705  0.65
Brailowsky 1960   49  0.5440  0.0058  0.0555  0.0520  0.3949  0.14
Bunin 1987   32  0.6077  0.0045  0.0746  0.0724  0.3545  0.16
Bunin 1987b   31  0.6016  0.0144  0.0737  0.1324  0.3540  0.21
Chiu 1999   23  0.6213  0.019  0.127  0.612  0.694  0.65
Cohen 1997   87  0.3178  0.0086  0.0464  0.0458  0.0480  0.04
Cortot 1951   66  0.4663  0.0076  0.0383  0.0359  0.0488  0.03
Csalog 1996   64  0.4945  0.0068  0.0559  0.0523  0.3950  0.14
Czerny 1949   70  0.4479  0.0083  0.0378  0.0360  0.0486  0.03
Czerny 1990   4  0.704  0.068  0.1212  0.563  0.6112  0.58
Duchoud 2007   33  0.6023  0.0027  0.0924  0.298  0.4923  0.38
Ezaki 2006   22  0.6246  0.0025  0.0726  0.2632  0.2234  0.24
Falvay 1989   48  0.5569  0.0043  0.0543  0.1038  0.1458  0.12
Farrell 1958   62  0.4980  0.0073  0.0468  0.0438  0.1866  0.08
Ferenczy 1958   86  0.3181  0.0087  0.0379  0.0363  0.0485  0.03
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   17  0.652  0.142  0.204  0.643  0.597  0.61
Francois 1956   51  0.5460  0.0057  0.0463  0.0452  0.0582  0.04
Friedman 1923   82  0.3419  0.0166  0.0558  0.0515  0.4253  0.14
Friedman 1923b   81  0.3514  0.0165  0.0471  0.0415  0.4456  0.13
Friedman 1930   67  0.4611  0.0233  0.0544  0.1015  0.4838  0.22
Garcia 2007   74  0.4037  0.0064  0.0469  0.045  0.6444  0.16
Garcia 2007b   85  0.3353  0.0078  0.0285  0.0221  0.3268  0.08
Gierzod 1998   52  0.5456  0.0052  0.0562  0.0559  0.0576  0.05
Gornostaeva 1994   14  0.6630  0.0029  0.0725  0.2817  0.4127  0.34
Groot 1988   3  0.715  0.055  0.128  0.595  0.5713  0.58
Harasiewicz 1955   43  0.5641  0.0020  0.1323  0.3718  0.3525  0.36
Hatto 1993   69  0.4425  0.0031  0.0636  0.1517  0.3537  0.23
Hatto 1997   76  0.3973  0.0062  0.0466  0.0450  0.0578  0.04
Horowitz 1949   39  0.5761  0.0041  0.0641  0.1114  0.3841  0.20
Indjic 1988   73  0.4234  0.0032  0.0542  0.1127  0.2443  0.16
Kapell 1951   41  0.5647  0.0050  0.0651  0.0647  0.0670  0.06
Kissin 1993   7  0.687  0.033  0.153  0.664  0.682  0.67
Kushner 1989   6  0.6943  0.0017  0.1218  0.514  0.6511  0.58
Luisada 1991   20  0.6320  0.0123  0.0721  0.398  0.4622  0.42
Lushtak 2004   42  0.5657  0.0034  0.0532  0.2127  0.3333  0.26
Malcuzynski 1961   2  0.7232  0.007  0.1414  0.5410  0.4919  0.51
Magaloff 1978   1  0.761  0.331  0.331  0.781  0.731  0.75
Magin 1975   38  0.5754  0.0047  0.0650  0.0615  0.3746  0.15
Michalowski 1933   68  0.4435  0.0061  0.0554  0.0538  0.1765  0.09
Milkina 1970   63  0.4964  0.0069  0.0467  0.0448  0.0674  0.05
Mohovich 1999   26  0.6149  0.0040  0.0535  0.1523  0.3239  0.22
Moravec 1969   60  0.5048  0.0063  0.0648  0.0649  0.0573  0.05
Morozova 2008   24  0.6212  0.0213  0.1115  0.522  0.5517  0.53
Neighaus 1950   10  0.6827  0.0010  0.135  0.6312  0.5510  0.59
Niedzielski 1931   59  0.5044  0.0067  0.0476  0.0416  0.3259  0.11
Ohlsson 1999   12  0.6739  0.0022  0.1120  0.4413  0.4221  0.43
Osinska 1989   25  0.6128  0.0048  0.0653  0.0617  0.3448  0.14
Pachmann 1927   40  0.5721  0.0118  0.1119  0.453  0.6815  0.55
Paderewski 1930   28  0.6042  0.0042  0.0640  0.129  0.5036  0.24
Perlemuter 1992   15  0.666  0.046  0.1610  0.574  0.656  0.61
Pierdomenico 2008   30  0.6038  0.0035  0.0538  0.134  0.5732  0.27
Poblocka 1999   9  0.6815  0.0114  0.1017  0.522  0.5716  0.54
Rabcewiczowa 1932   71  0.4388  0.0085  0.0473  0.0462  0.0477  0.04
Rachmaninoff 1923   47  0.5536  0.0030  0.0731  0.2311  0.4828  0.33
Rangell 2001   18  0.659  0.0316  0.1116  0.521  0.6314  0.57
Richter 1976   19  0.6422  0.0121  0.1122  0.391  0.5920  0.48
Rosen 1989   11  0.6733  0.0015  0.1213  0.545  0.649  0.59
Rosenthal 1930   58  0.5152  0.0070  0.0470  0.0434  0.2861  0.11
Rosenthal 1931   79  0.3662  0.0080  0.0287  0.0237  0.1771  0.06
Rosenthal 1931b   80  0.3689  0.0079  0.0286  0.0232  0.2072  0.06
Rosenthal 1931c   57  0.5274  0.0055  0.0557  0.0518  0.4052  0.14
Rosenthal 1931d   77  0.3975  0.0081  0.0382  0.0330  0.1869  0.07
Rossi 2007   84  0.3482  0.0077  0.0384  0.0325  0.2663  0.09
Rubinstein 1939   83  0.3459  0.0084  0.0377  0.0324  0.3562  0.10
Rubinstein 1952   46  0.5550  0.0054  0.0560  0.0518  0.4347  0.15
Rubinstein 1966   45  0.5576  0.0051  0.0556  0.0520  0.4151  0.14
Schilhawsky 1960   50  0.5468  0.0059  0.0649  0.0628  0.2854  0.13
Shebanova 2002   5  0.698  0.0311  0.172  0.684  0.643  0.66
Smith 1975   29  0.6065  0.0046  0.0747  0.0742  0.1264  0.09
Sokolov 2002   27  0.6124  0.0049  0.0845  0.0842  0.1757  0.12
Sztompka 1959   21  0.6317  0.0128  0.0834  0.1816  0.4431  0.28
Tomsic 1995   34  0.5967  0.0038  0.0728  0.2425  0.2535  0.24
Uninsky 1932   53  0.5318  0.0160  0.0652  0.0632  0.1960  0.11
Uninsky 1971   61  0.5083  0.0072  0.0474  0.0447  0.0775  0.05
Wasowski 1980   55  0.5370  0.0039  0.0639  0.1224  0.3042  0.19
Zak 1937   37  0.5884  0.0036  0.0530  0.2313  0.4529  0.32
Zak 1951   44  0.5671  0.0037  0.0733  0.2122  0.3830  0.28
Random 1   88  0.0085  0.0088  0.0288  0.0241  0.0979  0.04
Random 2   90  -0.0790  0.0089  0.0189  0.0180  0.0289  0.01
Random 3   89  -0.0372  0.0090  0.0190  0.0183  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).