Indjic 1988

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   9  0.7920  0.0012  0.0915  0.4321  0.4015  0.41
Anderszewski 2003   23  0.7321  0.0026  0.0727  0.3028  0.2529  0.27
Ashkenazy 1981   13  0.7612  0.0020  0.1328  0.2914  0.3825  0.33
Bacha 2000   47  0.6222  0.0056  0.0654  0.0656  0.0458  0.05
Badura 1965   14  0.7623  0.0029  0.0623  0.325  0.5913  0.43
Barbosa 1983   52  0.6124  0.0064  0.0558  0.0543  0.0954  0.07
Biret 1990   51  0.6125  0.0055  0.0651  0.0666  0.0464  0.05
Blet 2003   37  0.6726  0.0038  0.0534  0.2315  0.3828  0.30
Block 1995   71  0.5027  0.0057  0.0561  0.0567  0.0476  0.04
Blumental 1952   42  0.655  0.0053  0.0653  0.0649  0.0656  0.06
Boshniakovich 1969   29  0.7028  0.0011  0.0910  0.5012  0.547  0.52
Brailowsky 1960   63  0.5413  0.0074  0.0480  0.0475  0.0383  0.03
Bunin 1987   74  0.4629  0.0068  0.0470  0.0432  0.2550  0.10
Bunin 1987b   75  0.4530  0.0067  0.0468  0.0432  0.2547  0.10
Chiu 1999   24  0.7231  0.0040  0.0840  0.1728  0.2435  0.20
Cohen 1997   61  0.5432  0.0075  0.0478  0.0430  0.2649  0.10
Cortot 1951   53  0.6133  0.0054  0.0647  0.0631  0.2245  0.11
Csalog 1996   82  0.3134  0.0073  0.0475  0.0451  0.0475  0.04
Czerny 1949   19  0.7514  0.0014  0.099  0.5122  0.469  0.48
Czerny 1990   21  0.7435  0.0035  0.0732  0.2536  0.1439  0.19
Duchoud 2007   65  0.5236  0.0063  0.0469  0.0448  0.0762  0.05
Ezaki 2006   16  0.7637  0.0032  0.0536  0.2036  0.2034  0.20
Falvay 1989   83  0.3038  0.0088  0.0384  0.0383  0.0289  0.02
Farrell 1958   40  0.6539  0.0059  0.0472  0.0461  0.0570  0.04
Ferenczy 1958   45  0.6240  0.0047  0.0648  0.0623  0.3143  0.14
Fliere 1977   7  0.8241  0.005  0.237  0.568  0.468  0.51
Fou 1978   38  0.6615  0.0045  0.0545  0.1084  0.0361  0.05
Francois 1956   68  0.5142  0.0071  0.0479  0.0470  0.0481  0.04
Friedman 1923   4  0.8743  0.004  0.194  0.653  0.704  0.67
Friedman 1923b   3  0.8744  0.003  0.213  0.653  0.703  0.67
Friedman 1930   5  0.8345  0.006  0.265  0.593  0.645  0.61
Garcia 2007   32  0.689  0.0039  0.0738  0.1832  0.2336  0.20
Garcia 2007b   44  0.6346  0.0030  0.0524  0.3124  0.3721  0.34
Gierzod 1998   20  0.7410  0.0013  0.0911  0.4816  0.4212  0.45
Gornostaeva 1994   73  0.4847  0.0066  0.0564  0.0570  0.0377  0.04
Groot 1988   72  0.5048  0.0069  0.0381  0.0373  0.0487  0.03
Harasiewicz 1955   15  0.7649  0.0033  0.0630  0.2538  0.1341  0.18
Hatto 1993   2  1.001  0.591  0.592  1.001  1.002  1.00
Hatto 1997   1  1.002  0.402  0.981  1.001  1.001  1.00
Horowitz 1949   46  0.6250  0.0052  0.0562  0.0533  0.3644  0.13
Indjic 1988   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kapell 1951   58  0.5751  0.0025  0.0929  0.2938  0.1238  0.19
Kissin 1993   35  0.6752  0.0028  0.0525  0.3133  0.2131  0.26
Kushner 1989   39  0.664  0.0048  0.0746  0.0750  0.0655  0.06
Luisada 1991   8  0.8053  0.0017  0.0822  0.3217  0.3422  0.33
Lushtak 2004   17  0.7554  0.0034  0.0635  0.2221  0.2732  0.24
Malcuzynski 1961   78  0.3555  0.0058  0.0557  0.0557  0.0472  0.04
Magaloff 1978   70  0.5156  0.0070  0.0466  0.0476  0.0468  0.04
Magin 1975   50  0.616  0.0027  0.0637  0.2059  0.0451  0.09
Michalowski 1933   60  0.5557  0.0031  0.0742  0.1625  0.2833  0.21
Milkina 1970   62  0.5458  0.0065  0.0556  0.0568  0.0471  0.04
Mohovich 1999   56  0.5959  0.0061  0.0559  0.0548  0.0757  0.06
Moravec 1969   79  0.3260  0.0084  0.0386  0.0375  0.0482  0.03
Morozova 2008   10  0.7916  0.0010  0.1119  0.3712  0.4416  0.40
Neighaus 1950   22  0.7417  0.008  0.208  0.555  0.576  0.56
Niedzielski 1931   41  0.6561  0.0036  0.0733  0.2417  0.4624  0.33
Ohlsson 1999   25  0.7262  0.0022  0.1026  0.3023  0.3327  0.31
Osinska 1989   27  0.7163  0.0037  0.0731  0.2542  0.1437  0.19
Pachmann 1927   69  0.5111  0.0076  0.0560  0.0559  0.0473  0.04
Paderewski 1930   54  0.6064  0.0042  0.0639  0.1713  0.4130  0.26
Perlemuter 1992   34  0.6765  0.0046  0.0565  0.0573  0.0365  0.04
Pierdomenico 2008   80  0.3218  0.0080  0.0474  0.0481  0.0384  0.03
Poblocka 1999   55  0.5966  0.0023  0.0821  0.3324  0.3423  0.33
Rabcewiczowa 1932   67  0.5267  0.0072  0.0652  0.0671  0.0460  0.05
Rachmaninoff 1923   33  0.6768  0.0051  0.0650  0.0670  0.0459  0.05
Rangell 2001   88  0.1769  0.0081  0.0383  0.0385  0.0386  0.03
Richter 1976   59  0.5770  0.0049  0.0467  0.0416  0.5142  0.14
Rosen 1989   48  0.623  0.0041  0.0641  0.1648  0.0648  0.10
Rosenthal 1930   77  0.3671  0.0078  0.0655  0.0657  0.0463  0.05
Rosenthal 1931   87  0.2472  0.0086  0.0385  0.0358  0.0574  0.04
Rosenthal 1931b   86  0.2573  0.0085  0.0288  0.0259  0.0588  0.03
Rosenthal 1931c   84  0.2774  0.0082  0.0382  0.0350  0.0579  0.04
Rosenthal 1931d   85  0.2575  0.0087  0.0477  0.0454  0.0578  0.04
Rossi 2007   64  0.5276  0.0079  0.0476  0.0473  0.0467  0.04
Rubinstein 1939   36  0.6777  0.0050  0.0563  0.0530  0.2246  0.10
Rubinstein 1952   76  0.3778  0.0077  0.0473  0.0459  0.0580  0.04
Rubinstein 1966   28  0.7079  0.0043  0.0544  0.1237  0.2740  0.18
Schilhawsky 1960   18  0.7580  0.0016  0.1013  0.4619  0.4710  0.46
Shebanova 2002   30  0.6981  0.0015  0.0914  0.4529  0.2919  0.36
Smith 1975   57  0.5882  0.0062  0.0649  0.0675  0.0369  0.04
Sokolov 2002   66  0.5283  0.0060  0.0471  0.0453  0.0466  0.04
Sztompka 1959   26  0.717  0.0021  0.0816  0.4231  0.2526  0.32
Tomsic 1995   81  0.3219  0.0083  0.0387  0.0376  0.0485  0.03
Uninsky 1932   43  0.6484  0.0024  0.0920  0.3525  0.3320  0.34
Uninsky 1971   49  0.6185  0.009  0.1612  0.4817  0.4311  0.45
Wasowski 1980   31  0.6986  0.0044  0.0643  0.1374  0.0453  0.07
Zak 1937   11  0.7787  0.0019  0.1018  0.3916  0.3317  0.36
Zak 1951   12  0.7788  0.0018  0.0917  0.3916  0.3318  0.36
Average   6  0.828  0.007  0.226  0.5727  0.3014  0.41
Random 1   90  -0.2589  0.0090  0.0190  0.0168  0.0390  0.02
Random 2   89  0.0090  0.0089  0.0289  0.0215  0.3052  0.08
Random 3   91  -0.2891  0.0091  0.0191  0.0190  0.0191  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).