Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   61  0.3987  0.0065  0.0554  0.0573  0.0366  0.04
Anderszewski 2003   77  0.3356  0.0069  0.0377  0.0359  0.0379  0.03
Ashkenazy 1981   21  0.5211  0.029  0.0918  0.3544  0.0933  0.18
Bacha 2000   69  0.3682  0.0078  0.0466  0.0470  0.0373  0.03
Badura 1965   74  0.3468  0.0075  0.0461  0.0478  0.0382  0.03
Barbosa 1983   67  0.3844  0.0061  0.0456  0.0478  0.0462  0.04
Biret 1990   48  0.4348  0.0059  0.0459  0.0456  0.0470  0.04
Blet 2003   50  0.4345  0.0066  0.0457  0.0462  0.0564  0.04
Block 1995   47  0.4420  0.0049  0.0550  0.0544  0.1046  0.07
Blumental 1952   62  0.3917  0.0121  0.0542  0.0927  0.2437  0.15
Boshniakovich 1969   13  0.5423  0.0014  0.0629  0.2625  0.3719  0.31
Brailowsky 1960   19  0.5341  0.0022  0.0619  0.347  0.5010  0.41
Bunin 1987   17  0.5318  0.0133  0.0926  0.3142  0.1428  0.21
Bunin 1987b   16  0.5342  0.0032  0.0825  0.3141  0.1427  0.21
Chiu 1999   27  0.495  0.057  0.198  0.4914  0.515  0.50
Cohen 1997   84  0.1936  0.0086  0.0371  0.0373  0.0383  0.03
Cortot 1951   78  0.3269  0.0080  0.0285  0.0279  0.0389  0.02
Csalog 1996   60  0.4050  0.0077  0.0378  0.0354  0.0663  0.04
Czerny 1949   52  0.4370  0.0063  0.0455  0.0450  0.0656  0.05
Czerny 1990   8  0.5847  0.0012  0.0811  0.4021  0.3015  0.35
Duchoud 2007   63  0.3959  0.0073  0.0375  0.0385  0.0381  0.03
Ezaki 2006   54  0.4364  0.0037  0.0536  0.1456  0.0543  0.08
Falvay 1989   14  0.5477  0.0018  0.0715  0.3724  0.2520  0.30
Farrell 1958   31  0.4943  0.0041  0.0537  0.1211  0.4426  0.23
Ferenczy 1958   82  0.2671  0.0081  0.0286  0.0271  0.0386  0.02
Fliere 1977   11  0.5783  0.0017  0.0614  0.3841  0.1130  0.20
Fou 1978   36  0.4840  0.0029  0.0724  0.3137  0.2222  0.26
Francois 1956   24  0.5021  0.0030  0.0821  0.3326  0.2821  0.30
Friedman 1923   86  0.1666  0.0085  0.0382  0.0360  0.0672  0.04
Friedman 1923b   85  0.1855  0.0084  0.0376  0.0363  0.0568  0.04
Friedman 1930   75  0.3346  0.0064  0.0553  0.0570  0.0365  0.04
Garcia 2007   81  0.2851  0.0076  0.0380  0.0344  0.1057  0.05
Garcia 2007b   83  0.2475  0.0083  0.0373  0.0359  0.0484  0.03
Gierzod 1998   58  0.4288  0.0067  0.0458  0.0479  0.0380  0.03
Gornostaeva 1994   34  0.4858  0.0062  0.0460  0.0453  0.0469  0.04
Groot 1988   1  0.6415  0.015  0.174  0.5212  0.456  0.48
Harasiewicz 1955   35  0.4829  0.0011  0.0813  0.3937  0.1823  0.26
Hatto 1993   72  0.3484  0.0052  0.0465  0.0452  0.0571  0.04
Hatto 1997   71  0.3478  0.0054  0.0745  0.0768  0.0453  0.05
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   70  0.3572  0.0053  0.0552  0.0560  0.0552  0.05
Kapell 1951   22  0.516  0.0415  0.0632  0.1942  0.1236  0.15
Kissin 1993   20  0.528  0.0220  0.069  0.4234  0.2517  0.32
Kushner 1989   23  0.5174  0.0044  0.0444  0.0753  0.0450  0.05
Luisada 1991   39  0.4626  0.0051  0.0470  0.0455  0.0558  0.04
Lushtak 2004   56  0.4234  0.0043  0.0443  0.0849  0.0548  0.06
Malcuzynski 1961   2  0.6410  0.026  0.175  0.5118  0.399  0.45
Magaloff 1978   5  0.627  0.034  0.162  0.5513  0.378  0.45
Magin 1975   37  0.4730  0.0024  0.0635  0.1529  0.2232  0.18
Michalowski 1933   79  0.2953  0.0071  0.0379  0.0376  0.0477  0.03
Milkina 1970   15  0.5339  0.0026  0.0822  0.3221  0.3616  0.34
Mohovich 1999   18  0.5352  0.0028  0.0820  0.3336  0.1825  0.24
Moravec 1969   7  0.594  0.058  0.117  0.506  0.514  0.50
Morozova 2008   29  0.4938  0.0023  0.0617  0.3642  0.1031  0.19
Neighaus 1950   10  0.5860  0.0013  0.0712  0.3959  0.0538  0.14
Niedzielski 1931   25  0.5027  0.0027  0.0728  0.272  0.5911  0.40
Ohlsson 1999   38  0.4731  0.0057  0.0462  0.0459  0.0461  0.04
Osinska 1989   53  0.4333  0.0068  0.0468  0.0448  0.0649  0.05
Pachmann 1927   55  0.4367  0.0042  0.0539  0.1028  0.2735  0.16
Paderewski 1930   57  0.4224  0.0070  0.0381  0.0363  0.0376  0.03
Perlemuter 1992   43  0.4635  0.0034  0.0831  0.2141  0.1234  0.16
Pierdomenico 2008   40  0.4628  0.0025  0.0727  0.3110  0.4413  0.37
Poblocka 1999   49  0.4354  0.0058  0.0372  0.0365  0.0474  0.03
Rabcewiczowa 1932   73  0.3489  0.0082  0.0383  0.0377  0.0375  0.03
Rachmaninoff 1923   6  0.601  0.321  0.321  0.721  0.771  0.74
Rangell 2001   42  0.4622  0.0040  0.0441  0.0951  0.0547  0.07
Richter 1976   26  0.5013  0.0119  0.0616  0.3618  0.3614  0.36
Rosen 1989   45  0.4449  0.0060  0.0467  0.0465  0.0467  0.04
Rosenthal 1930   33  0.4825  0.0035  0.0633  0.1919  0.4918  0.31
Rosenthal 1931   76  0.3376  0.0055  0.0551  0.0525  0.2839  0.12
Rosenthal 1931b   64  0.3886  0.0039  0.0538  0.1220  0.3729  0.21
Rosenthal 1931c   44  0.4561  0.0047  0.0646  0.0633  0.2340  0.12
Rosenthal 1931d   51  0.4385  0.0036  0.0634  0.1612  0.4024  0.25
Rossi 2007   87  0.0990  0.0087  0.0287  0.0283  0.0285  0.02
Rubinstein 1939   80  0.2837  0.0079  0.0384  0.0336  0.1744  0.07
Rubinstein 1952   30  0.4932  0.0046  0.0548  0.0528  0.2441  0.11
Rubinstein 1966   59  0.4179  0.0038  0.0540  0.0959  0.0545  0.07
Schilhawsky 1960   12  0.5512  0.0210  0.0710  0.416  0.527  0.46
Shebanova 2002   28  0.4914  0.0145  0.0549  0.0562  0.0555  0.05
Smith 1975   68  0.3773  0.0074  0.0463  0.0469  0.0460  0.04
Sokolov 2002   41  0.4657  0.0056  0.0469  0.0453  0.0559  0.04
Sztompka 1959   66  0.3819  0.0050  0.0464  0.0451  0.0651  0.05
Tomsic 1995   32  0.4862  0.0031  0.0930  0.2147  0.0542  0.10
Uninsky 1932   46  0.4416  0.0148  0.0547  0.0563  0.0554  0.05
Uninsky 1971   65  0.3865  0.0072  0.0374  0.0372  0.0378  0.03
Wasowski 1980   9  0.589  0.0216  0.0623  0.316  0.4712  0.38
Zak 1937   3  0.643  0.083  0.323  0.556  0.572  0.56
Zak 1951   4  0.632  0.212  0.266  0.518  0.543  0.52
Random 1   90  -0.1080  0.0090  0.0190  0.0181  0.0388  0.02
Random 2   88  0.0081  0.0088  0.0288  0.0273  0.0387  0.02
Random 3   89  -0.0163  0.0089  0.0189  0.0176  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).