Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   37  0.5859  0.0057  0.0462  0.0439  0.1269  0.07
Anderszewski 2003   73  0.4355  0.0075  0.0476  0.0481  0.0285  0.03
Ashkenazy 1981   17  0.6512  0.0113  0.1210  0.5815  0.4619  0.52
Bacha 2000   76  0.4086  0.0083  0.0381  0.0365  0.0484  0.03
Badura 1965   66  0.4966  0.0054  0.0466  0.0413  0.4556  0.13
Barbosa 1983   55  0.5351  0.0027  0.0628  0.2518  0.4527  0.34
Biret 1990   57  0.5287  0.0072  0.0473  0.0461  0.0482  0.04
Blet 2003   14  0.6624  0.0020  0.1312  0.563  0.639  0.59
Block 1995   36  0.5926  0.0025  0.0730  0.236  0.5525  0.36
Blumental 1952   79  0.3728  0.0076  0.0382  0.0357  0.0488  0.03
Boshniakovich 1969   9  0.6810  0.015  0.147  0.613  0.706  0.65
Brailowsky 1960   50  0.5440  0.0059  0.0556  0.0521  0.3950  0.14
Bunin 1987   33  0.6078  0.0046  0.0747  0.0725  0.3546  0.16
Bunin 1987b   32  0.6014  0.0145  0.0738  0.1325  0.3541  0.21
Chiu 1999   24  0.6216  0.0110  0.128  0.613  0.695  0.65
Cohen 1997   88  0.3179  0.0087  0.0465  0.0459  0.0481  0.04
Cortot 1951   67  0.4663  0.0077  0.0384  0.0360  0.0489  0.03
Csalog 1996   65  0.4944  0.0069  0.0560  0.0524  0.3951  0.14
Czerny 1949   71  0.4480  0.0084  0.0379  0.0361  0.0487  0.03
Czerny 1990   5  0.706  0.029  0.1113  0.564  0.6113  0.58
Duchoud 2007   34  0.6022  0.0028  0.0925  0.299  0.4924  0.38
Ezaki 2006   23  0.6245  0.0026  0.0727  0.2633  0.2235  0.24
Falvay 1989   49  0.5573  0.0044  0.0544  0.1039  0.1459  0.12
Farrell 1958   63  0.4981  0.0074  0.0469  0.0439  0.1867  0.08
Ferenczy 1958   87  0.3182  0.0088  0.0380  0.0364  0.0486  0.03
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   18  0.653  0.023  0.205  0.644  0.598  0.61
Francois 1956   52  0.5467  0.0058  0.0464  0.0453  0.0583  0.04
Friedman 1923   83  0.3418  0.0167  0.0559  0.0516  0.4254  0.14
Friedman 1923b   82  0.3511  0.0166  0.0472  0.0416  0.4457  0.13
Friedman 1930   68  0.468  0.0234  0.0545  0.1016  0.4839  0.22
Garcia 2007   75  0.4035  0.0065  0.0470  0.045  0.6445  0.16
Garcia 2007b   86  0.3354  0.0079  0.0286  0.0222  0.3268  0.08
Gierzod 1998   53  0.5456  0.0053  0.0463  0.0460  0.0579  0.04
Gornostaeva 1994   15  0.6627  0.0030  0.0726  0.2818  0.4128  0.34
Groot 1988   4  0.7121  0.016  0.129  0.596  0.5714  0.58
Harasiewicz 1955   44  0.5647  0.0021  0.1324  0.3719  0.3526  0.36
Hatto 1993   70  0.4423  0.0032  0.0637  0.1518  0.3538  0.23
Hatto 1997   77  0.3974  0.0063  0.0467  0.0451  0.0578  0.04
Horowitz 1949   40  0.5761  0.0042  0.0642  0.1115  0.3842  0.20
Indjic 1988   74  0.4229  0.0033  0.0543  0.1128  0.2444  0.16
Kapell 1951   42  0.5646  0.0051  0.0652  0.0648  0.0671  0.06
Kissin 1993   8  0.6820  0.014  0.144  0.665  0.683  0.67
Kushner 1989   7  0.6942  0.0018  0.1219  0.515  0.6512  0.58
Luisada 1991   21  0.6317  0.0124  0.0722  0.399  0.4623  0.42
Lushtak 2004   43  0.5657  0.0035  0.0533  0.2128  0.3334  0.26
Malcuzynski 1961   3  0.7231  0.008  0.1315  0.5411  0.4920  0.51
Magaloff 1978   2  0.762  0.042  0.322  0.782  0.731  0.75
Magin 1975   39  0.5758  0.0048  0.0651  0.0616  0.3747  0.15
Michalowski 1933   69  0.4432  0.0062  0.0555  0.0539  0.1766  0.09
Milkina 1970   64  0.4964  0.0070  0.0468  0.0449  0.0675  0.05
Mohovich 1999   27  0.6148  0.0041  0.0536  0.1524  0.3240  0.22
Moravec 1969   61  0.5049  0.0064  0.0649  0.0650  0.0574  0.05
Morozova 2008   25  0.627  0.0214  0.1116  0.523  0.5518  0.53
Neighaus 1950   11  0.6837  0.0011  0.136  0.6313  0.5511  0.59
Niedzielski 1931   60  0.5052  0.0068  0.0477  0.0417  0.3260  0.11
Ohlsson 1999   13  0.6741  0.0023  0.1121  0.4414  0.4222  0.43
Osinska 1989   26  0.6125  0.0049  0.0654  0.0618  0.3449  0.14
Pachmann 1927   41  0.5739  0.0019  0.1120  0.453  0.6816  0.55
Paderewski 1930   29  0.6043  0.0043  0.0641  0.1210  0.5037  0.24
Perlemuter 1992   16  0.664  0.027  0.1611  0.575  0.657  0.61
Pierdomenico 2008   31  0.6034  0.0036  0.0539  0.135  0.5733  0.27
Poblocka 1999   10  0.6813  0.0115  0.1018  0.523  0.5717  0.54
Rabcewiczowa 1932   72  0.4388  0.0086  0.0474  0.0463  0.0477  0.04
Rachmaninoff 1923   48  0.5533  0.0031  0.0732  0.2312  0.4829  0.33
Rangell 2001   19  0.659  0.0117  0.1117  0.522  0.6315  0.57
Richter 1976   20  0.6430  0.0022  0.1123  0.391  0.5921  0.48
Rosen 1989   12  0.6736  0.0016  0.1214  0.546  0.6410  0.59
Rosenthal 1930   59  0.5153  0.0071  0.0471  0.0435  0.2862  0.11
Rosenthal 1931   80  0.3662  0.0081  0.0288  0.0238  0.1772  0.06
Rosenthal 1931b   81  0.3689  0.0080  0.0287  0.0233  0.2073  0.06
Rosenthal 1931c   58  0.5275  0.0056  0.0558  0.0519  0.4053  0.14
Rosenthal 1931d   78  0.3976  0.0082  0.0383  0.0331  0.1870  0.07
Rossi 2007   85  0.3483  0.0078  0.0385  0.0326  0.2664  0.09
Rubinstein 1939   84  0.3460  0.0085  0.0378  0.0324  0.3563  0.10
Rubinstein 1952   47  0.5550  0.0055  0.0561  0.0519  0.4348  0.15
Rubinstein 1966   46  0.5577  0.0052  0.0557  0.0521  0.4152  0.14
Schilhawsky 1960   51  0.5469  0.0060  0.0650  0.0629  0.2855  0.13
Shebanova 2002   6  0.695  0.0212  0.173  0.685  0.644  0.66
Smith 1975   30  0.6065  0.0047  0.0748  0.0743  0.1265  0.09
Sokolov 2002   28  0.6138  0.0050  0.0846  0.0843  0.1758  0.12
Sztompka 1959   22  0.6319  0.0129  0.0735  0.1817  0.4432  0.28
Tomsic 1995   35  0.5968  0.0039  0.0729  0.2426  0.2536  0.24
Uninsky 1932   54  0.5315  0.0161  0.0653  0.0633  0.1961  0.11
Uninsky 1971   62  0.5090  0.0073  0.0475  0.0448  0.0776  0.05
Wasowski 1980   56  0.5370  0.0040  0.0640  0.1225  0.3043  0.19
Zak 1937   38  0.5884  0.0037  0.0531  0.2314  0.4530  0.32
Zak 1951   45  0.5671  0.0038  0.0734  0.2123  0.3831  0.28
Average   1  0.831  0.661  0.651  0.875  0.592  0.72
Random 1   89  0.0085  0.0089  0.0289  0.0241  0.1080  0.04
Random 2   91  -0.0791  0.0090  0.0190  0.0181  0.0290  0.01
Random 3   90  -0.0372  0.0091  0.0191  0.0184  0.0291  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).