Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   66  0.3417  0.0174  0.0475  0.0456  0.0584  0.04
Anderszewski 2003   54  0.3855  0.0032  0.0829  0.3517  0.5529  0.44
Ashkenazy 1981   25  0.447  0.0137  0.1035  0.2525  0.4135  0.32
Bacha 2000   39  0.4052  0.0046  0.0747  0.078  0.6142  0.21
Badura 1965   50  0.3818  0.0122  0.0740  0.1711  0.5239  0.30
Barbosa 1983   17  0.4611  0.0115  0.0932  0.3329  0.3334  0.33
Biret 1990   85  0.2586  0.0083  0.0386  0.0384  0.0389  0.03
Blet 2003   71  0.3263  0.0080  0.0380  0.0361  0.0487  0.03
Block 1995   24  0.4415  0.0124  0.0920  0.497  0.6514  0.56
Blumental 1952   21  0.4420  0.0023  0.0717  0.5010  0.6412  0.57
Boshniakovich 1969   3  0.533  0.063  0.244  0.676  0.694  0.68
Brailowsky 1960   76  0.2988  0.0079  0.0383  0.0352  0.0679  0.04
Bunin 1987   16  0.4625  0.0028  0.0922  0.472  0.6913  0.57
Bunin 1987b   19  0.4534  0.0029  0.0926  0.442  0.6815  0.55
Chiu 1999   55  0.3870  0.0065  0.0566  0.0552  0.0572  0.05
Cohen 1997   74  0.3058  0.0081  0.0377  0.0343  0.2065  0.08
Cortot 1951   63  0.3539  0.0056  0.0470  0.048  0.6351  0.16
Csalog 1996   72  0.3189  0.0067  0.0560  0.0559  0.0574  0.05
Czerny 1949   41  0.4064  0.0021  0.0728  0.4016  0.6820  0.52
Czerny 1990   20  0.4560  0.0017  0.1021  0.4923  0.5621  0.52
Duchoud 2007   84  0.2630  0.0071  0.0472  0.0446  0.0869  0.06
Ezaki 2006   12  0.486  0.027  0.138  0.613  0.706  0.65
Falvay 1989   61  0.3581  0.0051  0.0552  0.0555  0.0573  0.05
Farrell 1958   68  0.3437  0.0060  0.0556  0.0535  0.1661  0.09
Ferenczy 1958   87  0.2444  0.0086  0.0379  0.0340  0.2464  0.08
Fliere 1977   2  0.535  0.025  0.192  0.6811  0.599  0.63
Fou 1978   32  0.4172  0.0045  0.0648  0.0635  0.2756  0.13
Francois 1956   78  0.2783  0.0082  0.0381  0.0351  0.0586  0.04
Friedman 1923   62  0.3519  0.0070  0.0554  0.0553  0.0677  0.05
Friedman 1923b   69  0.3377  0.0072  0.0471  0.0462  0.0585  0.04
Friedman 1930   59  0.3649  0.0066  0.0567  0.0562  0.0575  0.05
Garcia 2007   56  0.3750  0.0034  0.0931  0.337  0.6326  0.46
Garcia 2007b   36  0.4135  0.0035  0.1030  0.3312  0.6528  0.46
Gierzod 1998   4  0.502  0.142  0.253  0.682  0.722  0.70
Gornostaeva 1994   52  0.3875  0.0044  0.0544  0.1027  0.4444  0.21
Groot 1988   37  0.4132  0.0042  0.0643  0.1242  0.1159  0.11
Harasiewicz 1955   6  0.5061  0.0014  0.0910  0.5624  0.4225  0.48
Hatto 1993   22  0.4451  0.0025  0.0814  0.5219  0.4624  0.49
Hatto 1997   51  0.3823  0.0038  0.1034  0.2925  0.3437  0.31
Horowitz 1949   75  0.3036  0.0077  0.0385  0.0355  0.0581  0.04
Indjic 1988   18  0.4526  0.009  0.1111  0.5419  0.5417  0.54
Kapell 1951   27  0.449  0.0131  0.0827  0.4421  0.3531  0.39
Kissin 1993   7  0.4927  0.008  0.109  0.569  0.757  0.65
Kushner 1989   1  0.561  0.511  0.511  0.745  0.711  0.72
Luisada 1991   65  0.3487  0.0075  0.0476  0.0451  0.0671  0.05
Lushtak 2004   10  0.4916  0.0110  0.097  0.624  0.698  0.65
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1978   11  0.4914  0.016  0.186  0.632  0.705  0.66
Magin 1975   15  0.4648  0.0026  0.0924  0.4511  0.5918  0.52
Michalowski 1933   79  0.2769  0.0076  0.0382  0.0358  0.0682  0.04
Milkina 1970   64  0.3573  0.0057  0.0558  0.0543  0.1463  0.08
Mohovich 1999   30  0.4243  0.0033  0.0925  0.4522  0.4827  0.46
Moravec 1969   29  0.4340  0.0036  0.1033  0.3316  0.4432  0.38
Morozova 2008   14  0.4745  0.0013  0.1415  0.526  0.5916  0.55
Neighaus 1950   73  0.3190  0.0078  0.0387  0.0366  0.0490  0.03
Niedzielski 1931   38  0.4121  0.0052  0.0649  0.0615  0.4650  0.17
Ohlsson 1999   31  0.4271  0.0050  0.0561  0.0545  0.0868  0.06
Osinska 1989   58  0.3638  0.0040  0.0837  0.2239  0.2043  0.21
Pachmann 1927   44  0.3962  0.0039  0.0741  0.166  0.6136  0.31
Paderewski 1930   49  0.3974  0.0054  0.0557  0.055  0.6547  0.18
Perlemuter 1992   43  0.4046  0.0061  0.0553  0.0523  0.3953  0.14
Pierdomenico 2008   47  0.3942  0.0059  0.0651  0.0614  0.5346  0.18
Poblocka 1999   46  0.3922  0.0019  0.0739  0.1834  0.2940  0.23
Rabcewiczowa 1932   70  0.3278  0.0064  0.0555  0.0544  0.1166  0.07
Rachmaninoff 1923   60  0.3631  0.0062  0.0568  0.0542  0.1660  0.09
Rangell 2001   57  0.3754  0.0055  0.0562  0.0533  0.3855  0.14
Richter 1976   8  0.4913  0.0111  0.1413  0.5315  0.6310  0.58
Rosen 1989   40  0.4057  0.0049  0.0565  0.0549  0.0576  0.05
Rosenthal 1930   81  0.2679  0.0087  0.0378  0.0373  0.0488  0.03
Rosenthal 1931   77  0.2965  0.0068  0.0469  0.0424  0.4754  0.14
Rosenthal 1931b   82  0.2684  0.0073  0.0473  0.0429  0.4258  0.13
Rosenthal 1931c   67  0.3456  0.0063  0.0564  0.0521  0.4752  0.15
Rosenthal 1931d   83  0.2682  0.0084  0.0384  0.0328  0.2962  0.09
Rossi 2007   86  0.2559  0.0069  0.0563  0.059  0.5749  0.17
Rubinstein 1939   53  0.3841  0.0041  0.1038  0.2018  0.4638  0.30
Rubinstein 1952   28  0.4353  0.0027  0.0919  0.4921  0.5223  0.50
Rubinstein 1966   26  0.4412  0.0118  0.0718  0.5023  0.3830  0.44
Schilhawsky 1960   34  0.4124  0.0020  0.0736  0.246  0.5833  0.37
Shebanova 2002   9  0.498  0.0116  0.0912  0.5318  0.5219  0.52
Smith 1975   80  0.2780  0.0085  0.0474  0.0460  0.0580  0.04
Sokolov 2002   45  0.3910  0.0148  0.0746  0.0729  0.4048  0.17
Sztompka 1959   5  0.504  0.0412  0.1316  0.5111  0.6411  0.57
Tomsic 1995   23  0.4429  0.0030  0.0823  0.455  0.5722  0.51
Uninsky 1932   13  0.4828  0.004  0.175  0.653  0.723  0.68
Uninsky 1971   35  0.4168  0.0043  0.0642  0.1430  0.3541  0.22
Wasowski 1980   42  0.4047  0.0058  0.0559  0.0580  0.0478  0.04
Zak 1937   48  0.3967  0.0053  0.0650  0.0628  0.3057  0.13
Zak 1951   33  0.4133  0.0047  0.0845  0.0818  0.4345  0.19
Random 1   89  0.0085  0.0089  0.0189  0.0126  0.3170  0.06
Random 2   88  0.0466  0.0090  0.0190  0.0139  0.1383  0.04
Random 3   90  0.0076  0.0088  0.0188  0.016  0.5067  0.07

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).