Random 1

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.0065  0.0061  0.0458  0.0488  0.0255  0.03
Anderszewski 2003   66  -0.0364  0.0067  0.0372  0.0391  0.0173  0.02
Ashkenazy 1981   15  0.0579  0.0029  0.0630  0.2685  0.0320  0.09
Bacha 2000   72  -0.0420  0.0155  0.0449  0.0489  0.0165  0.02
Badura 1965   57  -0.0134  0.0053  0.0452  0.0489  0.0257  0.03
Barbosa 1983   13  0.068  0.049  0.1110  0.4486  0.0219  0.09
Biret 1990   24  0.0313  0.0120  0.0620  0.3380  0.0314  0.10
Blet 2003   11  0.0618  0.0135  0.0633  0.2388  0.0142  0.05
Block 1995   56  -0.0152  0.0045  0.0545  0.1089  0.0158  0.03
Blumental 1952   83  -0.0739  0.0054  0.0461  0.0489  0.0260  0.03
Boshniakovich 1969   78  -0.0658  0.0085  0.0288  0.0289  0.0187  0.01
Brailowsky 1960   91  -0.1689  0.0091  0.0191  0.0191  0.0181  0.01
Bunin 1987   62  -0.0254  0.0074  0.0456  0.0489  0.0261  0.03
Bunin 1987b   63  -0.0286  0.0073  0.0371  0.0389  0.0270  0.02
Chiu 1999   47  0.0037  0.0063  0.0462  0.0490  0.0246  0.03
Cohen 1997   48  0.0036  0.0027  0.0734  0.2376  0.0236  0.07
Cortot 1951   6  0.0741  0.0015  0.0823  0.3084  0.0226  0.08
Csalog 1996   34  0.0129  0.0042  0.0542  0.1382  0.0338  0.06
Czerny 1949   33  0.0145  0.0043  0.0544  0.1165  0.0534  0.07
Czerny 1990   77  -0.0556  0.0076  0.0375  0.0389  0.0279  0.02
Duchoud 2007   71  -0.0480  0.0069  0.0367  0.0389  0.0278  0.02
Ezaki 2006   27  0.024  0.088  0.1215  0.3667  0.048  0.12
Falvay 1989   26  0.0233  0.0012  0.0913  0.3787  0.0217  0.09
Farrell 1958   84  -0.0753  0.0077  0.0378  0.0390  0.0167  0.02
Ferenczy 1958   76  -0.0531  0.0070  0.0376  0.0379  0.0354  0.03
Fliere 1977   25  0.0287  0.0040  0.0537  0.1884  0.0329  0.07
Fou 1978   60  -0.0151  0.0080  0.0373  0.0390  0.0168  0.02
Francois 1956   68  -0.0370  0.0071  0.0374  0.0391  0.0180  0.02
Friedman 1923   64  -0.0276  0.0065  0.0451  0.0485  0.0364  0.03
Friedman 1923b   67  -0.0381  0.0064  0.0368  0.0385  0.0362  0.03
Friedman 1930   61  -0.0171  0.0066  0.0455  0.0485  0.0352  0.03
Garcia 2007   74  -0.0462  0.0039  0.0640  0.1488  0.0243  0.05
Garcia 2007b   20  0.0328  0.0038  0.0832  0.2478  0.0328  0.08
Gierzod 1998   38  0.0035  0.0062  0.0464  0.0490  0.0256  0.03
Gornostaeva 1994   39  0.0043  0.0034  0.0725  0.2971  0.0321  0.09
Groot 1988   35  0.0123  0.0121  0.0614  0.3788  0.0222  0.09
Harasiewicz 1955   70  -0.0427  0.0078  0.0279  0.0290  0.0190  0.01
Hatto 1993   28  0.0277  0.0046  0.0450  0.0486  0.0263  0.03
Hatto 1997   37  0.0048  0.0051  0.0454  0.0487  0.0253  0.03
Horowitz 1949   89  -0.1173  0.0088  0.0285  0.0290  0.0186  0.01
Indjic 1988   18  0.0457  0.0037  0.0727  0.2788  0.0233  0.07
Kapell 1951   87  -0.1059  0.0086  0.0289  0.0290  0.0185  0.01
Kissin 1993   1  0.115  0.064  0.192  0.5676  0.054  0.17
Kushner 1989   51  0.0063  0.0024  0.0536  0.2089  0.0237  0.06
Luisada 1991   9  0.0724  0.0131  0.0722  0.3287  0.0224  0.08
Lushtak 2004   59  -0.0125  0.0025  0.0641  0.1490  0.0144  0.04
Malcuzynski 1961   41  0.0072  0.0052  0.0460  0.0489  0.0248  0.03
Magaloff 1978   65  -0.0290  0.0048  0.0546  0.0590  0.0247  0.03
Magin 1975   44  0.0044  0.0044  0.0643  0.1282  0.0241  0.05
Michalowski 1933   49  0.0066  0.0057  0.0366  0.0386  0.0350  0.03
Milkina 1970   46  0.007  0.0422  0.0635  0.2283  0.0231  0.07
Mohovich 1999   81  -0.0667  0.0082  0.0284  0.0291  0.0188  0.01
Moravec 1969   52  0.0050  0.0030  0.0621  0.3289  0.0223  0.08
Morozova 2008   53  -0.0146  0.0058  0.0463  0.0489  0.0176  0.02
Neighaus 1950   7  0.0714  0.0110  0.098  0.4686  0.0215  0.10
Niedzielski 1931   82  -0.0788  0.0081  0.0282  0.0291  0.0183  0.01
Ohlsson 1999   12  0.0675  0.0036  0.0629  0.2689  0.0232  0.07
Osinska 1989   73  -0.0482  0.0050  0.0457  0.0490  0.0166  0.02
Pachmann 1927   80  -0.0626  0.0068  0.0377  0.0390  0.0172  0.02
Paderewski 1930   2  0.113  0.103  0.145  0.5474  0.045  0.15
Perlemuter 1992   31  0.0140  0.0033  0.0528  0.2787  0.0230  0.07
Pierdomenico 2008   30  0.0117  0.0116  0.0818  0.3584  0.0225  0.08
Poblocka 1999   86  -0.0983  0.0089  0.0286  0.0291  0.0182  0.01
Rabcewiczowa 1932   85  -0.0949  0.0087  0.0287  0.0291  0.0184  0.01
Rachmaninoff 1923   40  0.0078  0.0041  0.0539  0.1490  0.0240  0.05
Rangell 2001   90  -0.1361  0.0090  0.0190  0.0191  0.0189  0.01
Richter 1976   79  -0.0674  0.0084  0.0281  0.0287  0.0271  0.02
Rosen 1989   36  0.0068  0.0047  0.0453  0.0489  0.0259  0.03
Rosenthal 1930   32  0.019  0.0319  0.0726  0.2786  0.0235  0.07
Rosenthal 1931   21  0.0319  0.0113  0.0917  0.3661  0.049  0.12
Rosenthal 1931b   17  0.0415  0.0114  0.1116  0.3672  0.0316  0.10
Rosenthal 1931c   23  0.0330  0.0026  0.0619  0.3387  0.0227  0.08
Rosenthal 1931d   10  0.0710  0.026  0.116  0.5267  0.0311  0.12
Rossi 2007   5  0.092  0.142  0.171  0.5828  0.252  0.38
Rubinstein 1939   16  0.0421  0.0117  0.0811  0.3978  0.0312  0.11
Rubinstein 1952   88  -0.1042  0.0083  0.0283  0.0291  0.0191  0.01
Rubinstein 1966   75  -0.0560  0.0079  0.0280  0.0290  0.0274  0.02
Schilhawsky 1960   69  -0.0432  0.0075  0.0370  0.0389  0.0175  0.02
Shebanova 2002   8  0.0738  0.0011  0.089  0.4586  0.0310  0.12
Smith 1975   55  -0.0122  0.0128  0.0831  0.2572  0.0413  0.10
Sokolov 2002   4  0.0916  0.015  0.133  0.5579  0.036  0.13
Sztompka 1959   22  0.0384  0.0023  0.0512  0.3786  0.0218  0.09
Tomsic 1995   14  0.051  0.211  0.214  0.5481  0.037  0.13
Uninsky 1932   43  0.0012  0.0232  0.0638  0.1789  0.0239  0.06
Uninsky 1971   29  0.0285  0.0056  0.0459  0.0490  0.0251  0.03
Wasowski 1980   58  -0.0155  0.0049  0.0547  0.0586  0.0245  0.03
Zak 1937   42  0.0069  0.0059  0.0365  0.0388  0.0269  0.02
Zak 1951   45  0.0047  0.0060  0.0448  0.0489  0.0249  0.03
Average   54  -0.0191  0.0072  0.0369  0.0390  0.0277  0.02
Random 1   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   19  0.0311  0.0218  0.0624  0.2933  0.223  0.25
Random 3   3  0.096  0.067  0.147  0.483  0.641  0.55

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).