Malcuzynski 1951

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   46  0.5828  0.0047  0.0846  0.0827  0.3051  0.15
Ax 1995   4  0.779  0.005  0.344  0.792  0.834  0.81
Bacha 1998   55  0.4964  0.0053  0.0748  0.0723  0.3053  0.14
Barbosa 1983   38  0.6234  0.0043  0.0844  0.0814  0.3946  0.18
BenOr 1989   16  0.696  0.0112  0.1617  0.4810  0.5918  0.53
Biret 1990   36  0.6322  0.0033  0.1130  0.208  0.6430  0.36
Brailowsky 1960   20  0.6744  0.0019  0.1219  0.4615  0.5520  0.50
Chiu 1999   51  0.5416  0.0049  0.0752  0.0719  0.4745  0.18
Clidat 1994   42  0.5936  0.0038  0.0941  0.0913  0.4542  0.20
Cohen 1997   63  0.3049  0.0064  0.0559  0.0542  0.0665  0.05
Cortot 1951   56  0.4917  0.0055  0.0561  0.0510  0.5450  0.16
Csalog 1996   49  0.5552  0.0052  0.0656  0.0631  0.1958  0.11
Czerny 1989   26  0.6554  0.0031  0.0828  0.259  0.6425  0.40
Ezaki 2006   22  0.6635  0.0021  0.1125  0.326  0.6422  0.45
Falvay 1989   12  0.7124  0.008  0.189  0.6214  0.5413  0.58
Fiorentino 1962   3  0.803  0.023  0.553  0.852  0.872  0.86
Fliere 1977   37  0.6250  0.0032  0.0929  0.236  0.5231  0.35
Fou 1978   19  0.685  0.0115  0.1315  0.538  0.6711  0.60
Francois 1956   48  0.5530  0.0045  0.0749  0.0716  0.3949  0.17
Goldenweiser 1946   52  0.5220  0.0051  0.0654  0.069  0.5943  0.19
Gornostaeva 1994   47  0.5519  0.0050  0.0653  0.064  0.5747  0.18
Groot 1988   29  0.6445  0.0027  0.0924  0.3413  0.5424  0.43
Hatto 1993   6  0.7323  0.006  0.268  0.637  0.698  0.66
Hatto 1997   10  0.7141  0.0010  0.2414  0.5414  0.6015  0.57
Horszowski 1983   64  0.3061  0.0063  0.0563  0.0548  0.0562  0.05
Indjic 2001   7  0.7243  0.007  0.197  0.648  0.679  0.65
Katin 1996   32  0.6326  0.0029  0.0631  0.2025  0.3535  0.26
Kiepura 1999   15  0.6938  0.0018  0.1312  0.554  0.7210  0.63
Korecka 1992   45  0.5848  0.0046  0.0658  0.0618  0.5844  0.19
Kushner 1990   43  0.5931  0.0041  0.0750  0.0732  0.2057  0.12
Lilamand 2001   60  0.4027  0.0062  0.0657  0.0618  0.3154  0.14
Luisada 1990   24  0.6655  0.0030  0.0633  0.209  0.7029  0.37
Luisada 2008   33  0.6332  0.0037  0.1234  0.1210  0.7033  0.29
Lushtak 2004   9  0.7213  0.0011  0.146  0.656  0.706  0.67
Malcuzynski 1951   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Malcuzynski 1961   1  0.901  0.901  0.881  0.961  0.931  0.94
Magaloff 1977   50  0.5453  0.0048  0.0747  0.074  0.7539  0.23
Magin 1975   11  0.717  0.0113  0.1116  0.494  0.6914  0.58
Meguri 1997   54  0.4939  0.0054  0.1137  0.1113  0.4738  0.23
Milkina 1970   28  0.6533  0.0017  0.1118  0.4722  0.4123  0.44
Mohovich 1999   39  0.6121  0.0039  0.1138  0.1113  0.4240  0.21
Nezu 2005   21  0.6712  0.0025  0.1132  0.2018  0.5632  0.33
Ohlsson 1999   23  0.6656  0.0036  0.1135  0.1119  0.4837  0.23
Olejniczak 1990   17  0.6829  0.0020  0.1220  0.446  0.6319  0.53
Osinska 1989   5  0.7710  0.004  0.255  0.792  0.805  0.79
Perlemuter 1992   61  0.3911  0.0060  0.0464  0.0429  0.1560  0.08
Poblocka 1999   27  0.6537  0.0035  0.1139  0.1113  0.6234  0.26
Rangell 2001   53  0.5057  0.0056  0.0655  0.0627  0.4052  0.15
Richter 1960   57  0.4866  0.0057  0.0845  0.0821  0.3748  0.17
Richter 1961   59  0.4262  0.0058  0.0560  0.0521  0.3356  0.13
Rosen 1989   8  0.724  0.019  0.1810  0.582  0.757  0.66
Rubinstein 1939   30  0.6414  0.0022  0.1321  0.437  0.6717  0.54
Rubinstein 1952   41  0.5915  0.0034  0.1040  0.1030  0.2155  0.14
Rubinstein 1966   31  0.648  0.0028  0.1027  0.2916  0.4728  0.37
Rudanovskaya 2007   62  0.3967  0.0061  0.0562  0.0540  0.0663  0.05
Shebanova 2002   58  0.4446  0.0059  0.0843  0.0843  0.0561  0.06
Smith 1975   25  0.6525  0.0023  0.0922  0.3610  0.6621  0.49
Sztompka 1959   44  0.5851  0.0044  0.0751  0.0713  0.5541  0.20
Tanyel 1992   13  0.7018  0.0016  0.1313  0.559  0.5616  0.55
Tsujii 2005   18  0.6847  0.0024  0.1123  0.3520  0.4427  0.39
Uninsky 1959   34  0.6363  0.0040  0.1136  0.1142  0.0859  0.09
Vardi 1988   35  0.6340  0.0026  0.0826  0.2919  0.5326  0.39
Wasowski 1980   40  0.6142  0.0042  0.0842  0.0810  0.6636  0.23
Zimerman 1975   14  0.7058  0.0014  0.1111  0.5711  0.6212  0.59
Average   2  0.852  0.022  0.772  0.913  0.733  0.82
Random 1   66  -0.0359  0.0066  0.0266  0.0228  0.1364  0.05
Random 2   67  -0.0560  0.0067  0.0167  0.0148  0.0467  0.02
Random 3   65  -0.0165  0.0065  0.0365  0.0350  0.0466  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).