Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   75  0.2564  0.0044  0.0542  0.0974  0.0356  0.05
Anderszewski 2003   4  0.6756  0.003  0.276  0.545  0.554  0.54
Ashkenazy 1981   3  0.6928  0.004  0.263  0.664  0.563  0.61
Bacha 2000   21  0.473  0.0038  0.0439  0.1222  0.3225  0.20
Badura 1965   83  0.2130  0.0053  0.0547  0.0552  0.0461  0.04
Barbosa 1983   53  0.3341  0.0018  0.0725  0.2639  0.2320  0.24
Biret 1990   8  0.5416  0.009  0.119  0.4624  0.269  0.35
Blet 2003   16  0.4957  0.0022  0.0813  0.4031  0.1816  0.27
Block 1995   89  0.0431  0.0089  0.0289  0.0285  0.0285  0.02
Blumental 1952   27  0.4242  0.0035  0.0538  0.1330  0.1734  0.15
Boshniakovich 1969   77  0.2343  0.0086  0.0286  0.0284  0.0287  0.02
Brailowsky 1960   37  0.3858  0.0050  0.0450  0.0437  0.1446  0.07
Bunin 1987   14  0.509  0.0021  0.0719  0.3744  0.1128  0.20
Bunin 1987b   13  0.5110  0.0020  0.0718  0.3744  0.1126  0.20
Chiu 1999   42  0.3626  0.0031  0.0829  0.2330  0.2223  0.22
Cohen 1997   62  0.3059  0.0079  0.0365  0.0332  0.2342  0.08
Cortot 1951   57  0.3265  0.0056  0.0361  0.0363  0.0480  0.03
Csalog 1996   64  0.2960  0.0043  0.0540  0.1130  0.2731  0.17
Czerny 1949   82  0.2266  0.0069  0.0369  0.0378  0.0374  0.03
Czerny 1990   49  0.3321  0.0040  0.0434  0.1661  0.0443  0.08
Duchoud 2007   6  0.6322  0.005  0.247  0.5217  0.436  0.47
Ezaki 2006   25  0.4311  0.0025  0.0815  0.4039  0.1222  0.22
Falvay 1989   58  0.324  0.0039  0.0443  0.0944  0.0741  0.08
Farrell 1958   24  0.4367  0.0059  0.0362  0.0357  0.0468  0.03
Ferenczy 1958   32  0.3968  0.0028  0.0632  0.1637  0.1832  0.17
Fliere 1977   23  0.4544  0.0033  0.0626  0.2660  0.0435  0.10
Fou 1978   40  0.3769  0.0064  0.0370  0.0370  0.0469  0.03
Francois 1956   87  0.1945  0.0078  0.0373  0.0376  0.0381  0.03
Friedman 1923   72  0.2632  0.0072  0.0363  0.0355  0.0665  0.04
Friedman 1923b   70  0.2770  0.0071  0.0279  0.0253  0.0678  0.03
Friedman 1930   68  0.2723  0.0045  0.0445  0.0747  0.0652  0.06
Garcia 2007   54  0.3217  0.0054  0.0453  0.0470  0.0375  0.03
Garcia 2007b   69  0.2714  0.0046  0.0454  0.0429  0.1545  0.08
Gierzod 1998   18  0.4933  0.0015  0.0720  0.3637  0.1718  0.25
Gornostaeva 1994   79  0.2224  0.0085  0.0282  0.0275  0.0388  0.02
Groot 1988   74  0.2671  0.0075  0.0283  0.0281  0.0389  0.02
Harasiewicz 1955   78  0.2312  0.0036  0.0535  0.1548  0.0540  0.09
Hatto 1993   1  0.991  0.961  0.951  0.991  0.991  0.99
Hatto 1997   2  0.982  0.032  0.882  0.941  0.912  0.92
Horowitz 1949   43  0.3672  0.0051  0.0549  0.0545  0.0851  0.06
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   20  0.486  0.0019  0.0710  0.4436  0.2312  0.32
Kissin 1993   73  0.2673  0.0065  0.0371  0.0348  0.0659  0.04
Kushner 1989   41  0.3761  0.0041  0.0541  0.1076  0.0354  0.05
Luisada 1991   7  0.5946  0.007  0.178  0.4910  0.437  0.46
Lushtak 2004   12  0.5374  0.0013  0.1214  0.4030  0.2014  0.28
Malcuzynski 1961   38  0.3775  0.0060  0.0364  0.0385  0.0370  0.03
Magaloff 1978   45  0.3476  0.0037  0.0444  0.0982  0.0353  0.05
Magin 1975   10  0.5377  0.008  0.1121  0.3611  0.348  0.35
Michalowski 1933   60  0.3178  0.0023  0.0817  0.3737  0.2713  0.32
Milkina 1970   34  0.3847  0.0066  0.0368  0.0356  0.0557  0.04
Mohovich 1999   51  0.3334  0.0061  0.0358  0.0375  0.0377  0.03
Moravec 1969   61  0.3135  0.0042  0.0437  0.1431  0.2029  0.17
Morozova 2008   22  0.455  0.0012  0.1323  0.3438  0.1227  0.20
Neighaus 1950   26  0.4218  0.0048  0.0548  0.0582  0.0363  0.04
Niedzielski 1931   81  0.2248  0.0057  0.0359  0.0332  0.1747  0.07
Ohlsson 1999   5  0.657  0.006  0.335  0.5610  0.505  0.53
Osinska 1989   85  0.2079  0.0077  0.0284  0.0268  0.0466  0.03
Pachmann 1927   71  0.2615  0.0073  0.0287  0.0240  0.1455  0.05
Paderewski 1930   65  0.2836  0.0083  0.0278  0.0270  0.0384  0.02
Perlemuter 1992   86  0.198  0.0084  0.0276  0.0268  0.0382  0.02
Pierdomenico 2008   76  0.2480  0.0068  0.0367  0.0384  0.0283  0.02
Poblocka 1999   19  0.4981  0.0014  0.1011  0.4230  0.2410  0.32
Rabcewiczowa 1932   80  0.2282  0.0070  0.0372  0.0360  0.0467  0.03
Rachmaninoff 1923   44  0.3413  0.0034  0.0636  0.1480  0.0350  0.06
Rangell 2001   52  0.3383  0.0067  0.0357  0.0329  0.2144  0.08
Richter 1976   63  0.3049  0.0058  0.0451  0.0469  0.0372  0.03
Rosen 1989   56  0.3250  0.0076  0.0285  0.0279  0.0386  0.02
Rosenthal 1930   35  0.3837  0.0052  0.0452  0.0475  0.0376  0.03
Rosenthal 1931   55  0.3251  0.0081  0.0356  0.0367  0.0373  0.03
Rosenthal 1931b   46  0.3384  0.0080  0.0375  0.0357  0.0564  0.04
Rosenthal 1931c   47  0.3385  0.0082  0.0277  0.0275  0.0390  0.02
Rosenthal 1931d   67  0.2862  0.0074  0.0281  0.0259  0.0479  0.03
Rossi 2007   91  -0.1986  0.0090  0.0190  0.0185  0.0291  0.01
Rubinstein 1939   17  0.4952  0.0027  0.0631  0.1712  0.4415  0.27
Rubinstein 1952   84  0.2187  0.0063  0.0374  0.0336  0.1549  0.07
Rubinstein 1966   15  0.4963  0.0049  0.0546  0.0538  0.1739  0.09
Schilhawsky 1960   28  0.4129  0.0017  0.0722  0.3537  0.2017  0.26
Shebanova 2002   29  0.4127  0.0030  0.0633  0.1626  0.3221  0.23
Smith 1975   33  0.3838  0.0024  0.0816  0.3984  0.0238  0.09
Sokolov 2002   11  0.5339  0.0011  0.1312  0.4136  0.2511  0.32
Sztompka 1959   50  0.3388  0.0062  0.0366  0.0359  0.0558  0.04
Tomsic 1995   31  0.3940  0.0055  0.0360  0.0371  0.0371  0.03
Uninsky 1932   59  0.3119  0.0047  0.0455  0.0448  0.0560  0.04
Uninsky 1971   30  0.4053  0.0029  0.0724  0.3241  0.1819  0.24
Wasowski 1980   39  0.3754  0.0026  0.0827  0.2639  0.1130  0.17
Zak 1937   36  0.3820  0.0032  0.0630  0.2144  0.1133  0.15
Zak 1951   48  0.3355  0.0016  0.1028  0.2563  0.0436  0.10
Average   9  0.5425  0.0010  0.114  0.5946  0.0824  0.22
Random 1   90  0.0089  0.0091  0.0191  0.0135  0.1862  0.04
Random 2   88  0.0590  0.0087  0.0288  0.023  0.5037  0.10
Random 3   66  0.2891  0.0088  0.0280  0.0222  0.2748  0.07

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).