Fliere 1977

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   4  0.7450  0.0012  0.1315  0.487  0.5819  0.53
Anderszewski 2003   6  0.725  0.0418  0.1319  0.422  0.6618  0.53
Ashkenazy 1981   50  0.6180  0.0045  0.0747  0.0714  0.4648  0.18
Bacha 2000   71  0.5349  0.0063  0.0468  0.046  0.4962  0.14
Badura 1965   53  0.6112  0.0253  0.0469  0.0417  0.4769  0.14
Barbosa 1983   63  0.5559  0.0057  0.0559  0.0515  0.5355  0.16
Biret 1990   37  0.658  0.0324  0.0821  0.369  0.5226  0.43
Blet 2003   41  0.6422  0.0147  0.0652  0.061  0.6747  0.20
Block 1995   58  0.5730  0.0031  0.0640  0.174  0.6138  0.32
Blumental 1952   49  0.6131  0.0046  0.0746  0.0711  0.4152  0.17
Boshniakovich 1969   11  0.714  0.055  0.116  0.543  0.644  0.59
Brailowsky 1960   33  0.653  0.0528  0.0937  0.191  0.7830  0.38
Bunin 1987   76  0.5086  0.0072  0.0649  0.0613  0.4853  0.17
Bunin 1987b   80  0.4970  0.0071  0.0470  0.0412  0.4863  0.14
Chiu 1999   60  0.5758  0.0064  0.0464  0.048  0.4072  0.13
Cohen 1997   87  0.3878  0.0087  0.0471  0.0437  0.1385  0.07
Cortot 1951   70  0.5387  0.0070  0.0462  0.0411  0.5660  0.15
Csalog 1996   73  0.5216  0.0167  0.0553  0.0515  0.4267  0.14
Czerny 1949   21  0.6967  0.0023  0.0820  0.3717  0.5424  0.45
Czerny 1990   25  0.6952  0.0033  0.0631  0.2314  0.5035  0.34
Duchoud 2007   75  0.5055  0.0060  0.0479  0.048  0.4868  0.14
Ezaki 2006   18  0.7021  0.0134  0.0732  0.229  0.6132  0.37
Falvay 1989   67  0.5553  0.0077  0.0473  0.0444  0.1482  0.07
Farrell 1958   61  0.5656  0.0055  0.0561  0.0522  0.4357  0.15
Ferenczy 1958   45  0.6240  0.0066  0.0748  0.073  0.6146  0.21
Fliere 1977   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Fou 1978   26  0.6817  0.0122  0.0822  0.351  0.6421  0.47
Francois 1956   68  0.5465  0.0073  0.0477  0.0423  0.4475  0.13
Friedman 1923   46  0.6143  0.0062  0.0560  0.0522  0.4361  0.15
Friedman 1923b   48  0.6161  0.0061  0.0475  0.0428  0.4274  0.13
Friedman 1930   44  0.6281  0.0065  0.0556  0.0525  0.4458  0.15
Garcia 2007   52  0.6172  0.0052  0.0555  0.052  0.6151  0.17
Garcia 2007b   43  0.6346  0.0041  0.0735  0.205  0.6034  0.35
Gierzod 1998   1  0.791  0.431  0.421  0.752  0.771  0.76
Gornostaeva 1994   36  0.6535  0.0036  0.0641  0.178  0.5840  0.31
Groot 1988   55  0.6011  0.0229  0.0636  0.202  0.5936  0.34
Harasiewicz 1955   8  0.7218  0.0115  0.1012  0.5013  0.6014  0.55
Hatto 1993   14  0.712  0.102  0.193  0.555  0.5710  0.56
Hatto 1997   10  0.7134  0.004  0.197  0.535  0.5616  0.54
Horowitz 1949   66  0.5588  0.0069  0.0478  0.0410  0.5165  0.14
Indjic 1988   9  0.7227  0.003  0.145  0.545  0.5613  0.55
Kapell 1951   29  0.6810  0.0214  0.1118  0.463  0.6117  0.53
Kissin 1993   30  0.6742  0.0040  0.0833  0.2222  0.5037  0.33
Kushner 1989   15  0.7138  0.0021  0.0925  0.3410  0.6122  0.46
Luisada 1991   7  0.7248  0.0016  0.1016  0.471  0.763  0.60
Lushtak 2004   32  0.6628  0.0035  0.0730  0.255  0.6529  0.40
Malcuzynski 1961   59  0.5777  0.0056  0.0558  0.0517  0.4164  0.14
Magaloff 1978   54  0.6032  0.0037  0.0642  0.146  0.5042  0.26
Magin 1975   5  0.7239  0.0017  0.1711  0.513  0.647  0.57
Michalowski 1933   65  0.5547  0.0068  0.0465  0.0413  0.4766  0.14
Milkina 1970   24  0.6936  0.0032  0.0627  0.3219  0.4927  0.40
Mohovich 1999   31  0.6724  0.0042  0.0834  0.212  0.6831  0.38
Moravec 1969   77  0.4951  0.0081  0.0472  0.0437  0.1980  0.09
Morozova 2008   35  0.6568  0.0043  0.0643  0.1214  0.4544  0.23
Neighaus 1950   40  0.6479  0.0044  0.0644  0.1116  0.5143  0.24
Niedzielski 1931   47  0.6169  0.0058  0.0651  0.0616  0.4649  0.17
Ohlsson 1999   27  0.6871  0.0013  0.1113  0.496  0.6212  0.55
Osinska 1989   2  0.7414  0.026  0.102  0.603  0.732  0.66
Pachmann 1927   74  0.5173  0.0085  0.0383  0.0318  0.4277  0.11
Paderewski 1930   84  0.4462  0.0086  0.0476  0.0439  0.1384  0.07
Perlemuter 1992   51  0.6174  0.0051  0.0467  0.044  0.5956  0.15
Pierdomenico 2008   85  0.4482  0.0082  0.0287  0.0239  0.2383  0.07
Poblocka 1999   17  0.7023  0.0011  0.129  0.522  0.655  0.58
Rabcewiczowa 1932   57  0.5820  0.0138  0.0639  0.188  0.5141  0.30
Rachmaninoff 1923   22  0.699  0.0225  0.1026  0.332  0.6123  0.45
Rangell 2001   86  0.3989  0.0084  0.0384  0.0351  0.0587  0.04
Richter 1976   38  0.6444  0.0049  0.0845  0.088  0.6145  0.22
Rosen 1989   12  0.7129  0.0019  0.1117  0.472  0.716  0.58
Rosenthal 1930   62  0.5666  0.0074  0.0466  0.0410  0.5659  0.15
Rosenthal 1931   81  0.4854  0.0080  0.0380  0.0322  0.3978  0.11
Rosenthal 1931b   78  0.4941  0.0079  0.0381  0.0319  0.4576  0.12
Rosenthal 1931c   69  0.5463  0.0075  0.0554  0.058  0.5954  0.17
Rosenthal 1931d   83  0.4764  0.0078  0.0286  0.0225  0.4081  0.09
Rossi 2007   82  0.4860  0.0083  0.0385  0.0346  0.0886  0.05
Rubinstein 1939   56  0.5990  0.0059  0.0474  0.0414  0.4173  0.13
Rubinstein 1952   72  0.5226  0.0050  0.0557  0.0523  0.4170  0.14
Rubinstein 1966   39  0.6445  0.0048  0.0650  0.0623  0.4650  0.17
Schilhawsky 1960   3  0.7415  0.019  0.0910  0.527  0.609  0.56
Shebanova 2002   13  0.717  0.037  0.134  0.545  0.618  0.57
Smith 1975   19  0.706  0.0327  0.0823  0.351  0.7320  0.51
Sokolov 2002   64  0.5533  0.0054  0.0463  0.0416  0.4271  0.13
Sztompka 1959   16  0.7113  0.028  0.108  0.5210  0.5911  0.55
Tomsic 1995   79  0.4975  0.0076  0.0382  0.0333  0.3379  0.10
Uninsky 1932   42  0.6437  0.0039  0.0638  0.188  0.5539  0.31
Uninsky 1971   23  0.6919  0.0110  0.0914  0.4811  0.6115  0.54
Wasowski 1980   34  0.6525  0.0030  0.0629  0.259  0.5433  0.37
Zak 1937   20  0.6983  0.0020  0.0924  0.359  0.5525  0.44
Zak 1951   28  0.6857  0.0026  0.1028  0.3111  0.5228  0.40
Random 1   90  -0.1084  0.0089  0.0189  0.0147  0.0490  0.02
Random 2   89  -0.0985  0.0090  0.0190  0.0163  0.0389  0.02
Random 3   88  -0.0776  0.0088  0.0188  0.0140  0.1288  0.03

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).