Horowitz 1949

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   26  0.6037  0.0031  0.1132  0.3253  0.0435  0.11
Anderszewski 2003   46  0.5319  0.0139  0.0739  0.1770  0.0342  0.07
Ashkenazy 1981   19  0.6128  0.0021  0.1114  0.4854  0.0532  0.15
Bacha 2000   70  0.4585  0.0064  0.0372  0.0374  0.0468  0.03
Badura 1965   43  0.5446  0.0043  0.0543  0.0963  0.0447  0.06
Barbosa 1983   82  0.3656  0.0078  0.0283  0.0275  0.0474  0.03
Biret 1990   44  0.5449  0.0055  0.0548  0.0571  0.0464  0.04
Blet 2003   66  0.4763  0.0075  0.0465  0.0476  0.0377  0.03
Block 1995   37  0.5723  0.0035  0.0936  0.3023  0.2917  0.29
Blumental 1952   77  0.4154  0.0072  0.0378  0.0378  0.0287  0.02
Boshniakovich 1969   4  0.6920  0.0010  0.204  0.635  0.572  0.60
Brailowsky 1960   29  0.5922  0.0034  0.0824  0.3837  0.2216  0.29
Bunin 1987   20  0.6139  0.0024  0.0723  0.3919  0.3913  0.39
Bunin 1987b   21  0.6158  0.0023  0.0822  0.4020  0.4011  0.40
Chiu 1999   48  0.5229  0.0038  0.0938  0.1853  0.0438  0.08
Cohen 1997   87  0.1590  0.0087  0.0370  0.0385  0.0288  0.02
Cortot 1951   36  0.5782  0.0044  0.0444  0.0866  0.0448  0.06
Csalog 1996   85  0.3575  0.0085  0.0459  0.0483  0.0376  0.03
Czerny 1949   15  0.6314  0.0215  0.0913  0.5043  0.0826  0.20
Czerny 1990   33  0.5779  0.0049  0.0464  0.0479  0.0382  0.03
Duchoud 2007   53  0.5032  0.0056  0.0745  0.0773  0.0351  0.05
Ezaki 2006   18  0.6140  0.0030  0.0933  0.3282  0.0336  0.10
Falvay 1989   67  0.4676  0.0079  0.0284  0.0251  0.0671  0.03
Farrell 1958   41  0.5553  0.0046  0.0646  0.0668  0.0450  0.05
Ferenczy 1958   75  0.4272  0.0083  0.0374  0.0373  0.0378  0.03
Fliere 1977   5  0.6927  0.008  0.1510  0.5845  0.0725  0.20
Fou 1978   25  0.6042  0.0027  0.0826  0.3843  0.0927  0.18
Francois 1956   60  0.4987  0.0068  0.0366  0.0364  0.0484  0.03
Friedman 1923   84  0.3588  0.0074  0.0371  0.0345  0.0853  0.05
Friedman 1923b   83  0.3567  0.0069  0.0369  0.0345  0.0852  0.05
Friedman 1930   69  0.4633  0.0059  0.0551  0.0545  0.0845  0.06
Garcia 2007   58  0.4977  0.0053  0.0457  0.0443  0.1046  0.06
Garcia 2007b   79  0.4064  0.0058  0.0456  0.0471  0.0467  0.04
Gierzod 1998   16  0.6234  0.0020  0.0818  0.4445  0.0629  0.16
Gornostaeva 1994   45  0.5483  0.0063  0.0460  0.0469  0.0381  0.03
Groot 1988   10  0.6626  0.0011  0.1016  0.4625  0.4010  0.43
Harasiewicz 1955   12  0.655  0.074  0.175  0.6024  0.359  0.46
Hatto 1993   64  0.477  0.0517  0.0830  0.3327  0.2020  0.26
Hatto 1997   55  0.5045  0.0019  0.0835  0.3134  0.1424  0.21
Horowitz 1949   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Indjic 1988   59  0.4962  0.0018  0.0831  0.3230  0.1921  0.25
Kapell 1951   42  0.5566  0.0047  0.0455  0.0469  0.0456  0.04
Kissin 1993   13  0.6511  0.0213  0.1412  0.5130  0.1915  0.31
Kushner 1989   38  0.5684  0.0052  0.0458  0.0485  0.0373  0.03
Luisada 1991   39  0.5657  0.0042  0.0541  0.1057  0.0443  0.06
Lushtak 2004   52  0.5086  0.0050  0.0373  0.0380  0.0380  0.03
Malcuzynski 1961   7  0.689  0.049  0.209  0.5811  0.436  0.50
Magaloff 1978   35  0.5741  0.0045  0.0454  0.0448  0.0749  0.05
Magin 1975   22  0.6055  0.0014  0.1015  0.4834  0.1618  0.28
Michalowski 1933   72  0.4348  0.0041  0.0542  0.1073  0.0444  0.06
Milkina 1970   14  0.6425  0.0016  0.1017  0.4541  0.1222  0.23
Mohovich 1999   17  0.6144  0.0029  0.1029  0.3546  0.0730  0.16
Moravec 1969   62  0.4835  0.0071  0.0382  0.0373  0.0369  0.03
Morozova 2008   28  0.5918  0.0128  0.0925  0.3848  0.0433  0.12
Neighaus 1950   3  0.7015  0.026  0.217  0.5929  0.2712  0.40
Niedzielski 1931   40  0.5617  0.0122  0.0727  0.3717  0.3514  0.36
Ohlsson 1999   34  0.5770  0.0036  0.1034  0.3273  0.0434  0.11
Osinska 1989   23  0.6021  0.0040  0.0640  0.1468  0.0439  0.07
Pachmann 1927   56  0.4916  0.0162  0.0553  0.0539  0.1141  0.07
Paderewski 1930   68  0.4624  0.0080  0.0288  0.0275  0.0386  0.02
Perlemuter 1992   32  0.5850  0.0037  0.0737  0.2068  0.0437  0.09
Pierdomenico 2008   51  0.5131  0.0048  0.0461  0.0440  0.1440  0.07
Poblocka 1999   30  0.5936  0.0025  0.0820  0.4150  0.0628  0.16
Rabcewiczowa 1932   74  0.428  0.0482  0.0381  0.0378  0.0372  0.03
Rachmaninoff 1923   11  0.666  0.057  0.126  0.6014  0.398  0.48
Rangell 2001   61  0.4889  0.0051  0.0463  0.0450  0.0563  0.04
Richter 1976   9  0.674  0.093  0.188  0.594  0.583  0.58
Rosen 1989   50  0.5247  0.0060  0.0549  0.0563  0.0461  0.04
Rosenthal 1930   54  0.5038  0.0057  0.0547  0.0561  0.0460  0.04
Rosenthal 1931   78  0.4173  0.0073  0.0376  0.0351  0.0475  0.03
Rosenthal 1931b   73  0.4352  0.0067  0.0377  0.0350  0.0566  0.04
Rosenthal 1931c   76  0.4274  0.0077  0.0285  0.0277  0.0389  0.02
Rosenthal 1931d   71  0.4480  0.0070  0.0368  0.0350  0.0565  0.04
Rossi 2007   86  0.2459  0.0086  0.0380  0.0375  0.0470  0.03
Rubinstein 1939   81  0.3869  0.0084  0.0462  0.0457  0.0555  0.04
Rubinstein 1952   80  0.3981  0.0081  0.0286  0.0258  0.0583  0.03
Rubinstein 1966   65  0.4771  0.0076  0.0375  0.0353  0.0559  0.04
Schilhawsky 1960   6  0.693  0.125  0.213  0.649  0.504  0.57
Shebanova 2002   27  0.6013  0.0233  0.1519  0.4360  0.0531  0.15
Smith 1975   57  0.4978  0.0065  0.0379  0.0387  0.0285  0.02
Sokolov 2002   49  0.5260  0.0054  0.0552  0.0577  0.0354  0.04
Sztompka 1959   47  0.5343  0.0061  0.0550  0.0579  0.0458  0.04
Tomsic 1995   63  0.4861  0.0066  0.0367  0.0354  0.0557  0.04
Uninsky 1932   24  0.6012  0.0232  0.1028  0.3535  0.2119  0.27
Uninsky 1971   31  0.5830  0.0026  0.0921  0.4044  0.1123  0.21
Wasowski 1980   8  0.6810  0.0212  0.1211  0.543  0.447  0.49
Zak 1937   1  0.731  0.191  0.191  0.675  0.571  0.62
Zak 1951   2  0.722  0.152  0.322  0.658  0.495  0.56
Random 1   90  -0.1351  0.0089  0.0189  0.0141  0.1362  0.04
Random 2   88  -0.0568  0.0088  0.0287  0.0245  0.0579  0.03
Random 3   89  -0.0965  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).