Chiu 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   39  0.4155  0.0050  0.0752  0.0736  0.2750  0.14
Anderszewski 2003   72  0.2876  0.0080  0.0470  0.0464  0.0469  0.04
Ashkenazy 1981   4  0.574  0.066  0.157  0.7215  0.757  0.73
Bacha 2000   56  0.3627  0.0031  0.1038  0.2512  0.5435  0.37
Badura 1965   73  0.2656  0.0066  0.0569  0.0557  0.0472  0.04
Barbosa 1983   32  0.4477  0.0044  0.0844  0.1517  0.5043  0.27
Biret 1990   50  0.3644  0.0055  0.0568  0.0522  0.5348  0.16
Blet 2003   22  0.4831  0.0038  0.1032  0.3518  0.5730  0.45
Block 1995   55  0.3632  0.0063  0.0849  0.0848  0.0661  0.07
Blumental 1952   53  0.3665  0.0054  0.0660  0.0634  0.2851  0.13
Boshniakovich 1969   69  0.2982  0.0062  0.0848  0.0845  0.0858  0.08
Brailowsky 1960   77  0.2183  0.0070  0.0479  0.0455  0.0665  0.05
Bunin 1987   42  0.4034  0.0034  0.0835  0.2914  0.5433  0.40
Bunin 1987b   41  0.4029  0.0033  0.0833  0.3214  0.5531  0.42
Chiu 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cohen 1997   66  0.3166  0.0078  0.0382  0.0359  0.0574  0.04
Cortot 1951   62  0.3241  0.0079  0.0473  0.0462  0.0477  0.04
Csalog 1996   16  0.5025  0.0021  0.1120  0.603  0.7614  0.68
Czerny 1949   79  0.1970  0.0085  0.0383  0.0372  0.0486  0.03
Czerny 1990   15  0.507  0.0312  0.1112  0.678  0.808  0.73
Duchoud 2007   6  0.552  0.152  0.202  0.762  0.793  0.77
Ezaki 2006   81  0.1884  0.0082  0.0380  0.0379  0.0381  0.03
Falvay 1989   47  0.3785  0.0060  0.0656  0.0643  0.1257  0.08
Farrell 1958   33  0.4433  0.0039  0.0841  0.214  0.6437  0.37
Ferenczy 1958   87  0.0851  0.0088  0.0288  0.0271  0.0485  0.03
Fliere 1977   3  0.5812  0.0110  0.134  0.7318  0.6910  0.71
Fou 1978   23  0.4753  0.0037  0.0836  0.2719  0.4339  0.34
Francois 1956   76  0.2262  0.0071  0.0477  0.0462  0.0480  0.04
Friedman 1923   11  0.536  0.049  0.186  0.736  0.785  0.75
Friedman 1923b   12  0.538  0.038  0.145  0.736  0.784  0.75
Friedman 1930   9  0.5417  0.0114  0.1313  0.667  0.7413  0.70
Garcia 2007   59  0.3339  0.0048  0.1045  0.1033  0.3746  0.19
Garcia 2007b   48  0.3718  0.0128  0.1129  0.3819  0.5529  0.46
Gierzod 1998   84  0.1557  0.0075  0.0474  0.0459  0.0570  0.04
Gornostaeva 1994   61  0.3245  0.0065  0.0472  0.0458  0.0575  0.04
Groot 1988   36  0.4350  0.0030  0.1125  0.4628  0.3434  0.40
Harasiewicz 1955   13  0.5323  0.0047  0.1047  0.1043  0.1453  0.12
Hatto 1993   8  0.5426  0.0011  0.1315  0.6410  0.6120  0.62
Hatto 1997   38  0.4154  0.0049  0.0755  0.0733  0.2252  0.12
Horowitz 1949   20  0.4911  0.0215  0.1410  0.672  0.796  0.73
Indjic 1988   19  0.5071  0.0018  0.1517  0.6310  0.6419  0.63
Kapell 1951   14  0.5214  0.0113  0.1214  0.655  0.6315  0.64
Kissin 1993   43  0.3972  0.0041  0.0739  0.2227  0.5140  0.33
Kushner 1989   17  0.5024  0.0029  0.1030  0.3821  0.4532  0.41
Luisada 1991   28  0.4619  0.0126  0.0928  0.4321  0.5325  0.48
Lushtak 2004   58  0.3530  0.0073  0.0565  0.0543  0.1060  0.07
Malcuzynski 1961   44  0.3828  0.0051  0.0751  0.0766  0.0563  0.06
Magaloff 1978   52  0.3661  0.0036  0.1034  0.3123  0.4436  0.37
Magin 1975   45  0.3873  0.0042  0.0842  0.1926  0.5041  0.31
Michalowski 1933   27  0.465  0.047  0.1511  0.671  0.7511  0.71
Milkina 1970   63  0.3259  0.0057  0.0562  0.0526  0.3949  0.14
Mohovich 1999   71  0.2886  0.0069  0.0471  0.0464  0.0573  0.04
Moravec 1969   40  0.4137  0.0035  0.0937  0.2614  0.5138  0.36
Morozova 2008   5  0.573  0.084  0.139  0.692  0.7112  0.70
Neighaus 1950   31  0.4543  0.0023  0.0924  0.4816  0.4428  0.46
Niedzielski 1931   30  0.4522  0.0016  0.1519  0.615  0.6617  0.63
Ohlsson 1999   7  0.5413  0.0117  0.1116  0.635  0.6516  0.64
Osinska 1989   64  0.3274  0.0058  0.0563  0.0547  0.0762  0.06
Pachmann 1927   25  0.4615  0.0120  0.0921  0.5510  0.7218  0.63
Paderewski 1930   60  0.3287  0.0053  0.0657  0.0642  0.2255  0.11
Perlemuter 1992   67  0.3175  0.0064  0.1046  0.1055  0.0559  0.07
Pierdomenico 2008   26  0.4640  0.0024  0.0922  0.504  0.6921  0.59
Poblocka 1999   54  0.3647  0.0040  0.0740  0.2139  0.2344  0.22
Rabcewiczowa 1932   78  0.1942  0.0083  0.0384  0.0367  0.0483  0.03
Rachmaninoff 1923   34  0.449  0.0322  0.1223  0.4916  0.6423  0.56
Rangell 2001   51  0.3638  0.0045  0.0753  0.0717  0.4047  0.17
Richter 1976   1  0.6210  0.025  0.163  0.766  0.822  0.79
Rosen 1989   21  0.4821  0.0025  0.1026  0.4618  0.5524  0.50
Rosenthal 1930   68  0.3048  0.0072  0.0476  0.0462  0.0571  0.04
Rosenthal 1931   82  0.1867  0.0081  0.0659  0.0651  0.0567  0.05
Rosenthal 1931b   83  0.1678  0.0077  0.0381  0.0352  0.0578  0.04
Rosenthal 1931c   70  0.2964  0.0052  0.0661  0.0636  0.2654  0.12
Rosenthal 1931d   86  0.0852  0.0074  0.0478  0.0456  0.0476  0.04
Rossi 2007   85  0.1188  0.0086  0.0287  0.0271  0.0482  0.03
Rubinstein 1939   49  0.3768  0.0056  0.0567  0.0530  0.1956  0.10
Rubinstein 1952   75  0.2463  0.0067  0.0566  0.0574  0.0479  0.04
Rubinstein 1966   46  0.3879  0.0061  0.0754  0.0747  0.0664  0.06
Schilhawsky 1960   37  0.4320  0.0143  0.0743  0.159  0.6142  0.30
Shebanova 2002   2  0.601  0.391  0.381  0.806  0.811  0.80
Smith 1975   74  0.2589  0.0084  0.0285  0.0272  0.0389  0.02
Sokolov 2002   57  0.3558  0.0059  0.0564  0.0550  0.0468  0.04
Sztompka 1959   24  0.4680  0.0027  0.0927  0.4422  0.4827  0.46
Tomsic 1995   80  0.1981  0.0076  0.0475  0.0478  0.0384  0.03
Uninsky 1932   18  0.5049  0.0019  0.1318  0.6213  0.5622  0.59
Uninsky 1971   65  0.3160  0.0068  0.0658  0.0670  0.0466  0.05
Wasowski 1980   10  0.5416  0.013  0.148  0.693  0.759  0.72
Zak 1937   29  0.4536  0.0032  0.0731  0.3612  0.6326  0.48
Zak 1951   35  0.4346  0.0046  0.0850  0.0813  0.5745  0.21
Random 1   89  0.0035  0.0087  0.0289  0.0261  0.0488  0.03
Random 2   88  0.0069  0.0089  0.0286  0.0266  0.0487  0.03
Random 3   90  -0.0590  0.0090  0.0190  0.0182  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).