Malcuzynski 1961

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2834  0.0032  0.0732  0.1425  0.3732  0.23
Ax 1995   63  0.3737  0.0059  0.0458  0.0452  0.0467  0.04
Bacha 1998   50  0.4860  0.0039  0.0737  0.0711  0.4337  0.17
Barbosa 1983   47  0.504  0.013  0.2714  0.5012  0.5911  0.54
BenOr 1989   16  0.6025  0.008  0.178  0.5513  0.5413  0.54
Biret 1990   43  0.5367  0.0046  0.0644  0.0635  0.0851  0.07
Brailowsky 1960   62  0.4127  0.0058  0.0459  0.0437  0.0854  0.06
Chiu 1999   15  0.6014  0.0016  0.1615  0.507  0.5810  0.54
Clidat 1994   55  0.4656  0.0055  0.0551  0.0535  0.0858  0.06
Cohen 1997   61  0.4239  0.0052  0.0553  0.059  0.6038  0.17
Cortot 1951   34  0.5548  0.0048  0.0740  0.0716  0.2742  0.14
Csalog 1996   2  0.6650  0.002  0.214  0.587  0.558  0.56
Czerny 1989   24  0.599  0.0112  0.2111  0.5215  0.5115  0.51
Ezaki 2006   39  0.5336  0.0033  0.0633  0.1230  0.2139  0.16
Falvay 1989   7  0.6215  0.0018  0.1021  0.4431  0.1729  0.27
Fiorentino 1962   32  0.5824  0.0037  0.0642  0.0645  0.0660  0.06
Fliere 1977   38  0.5363  0.0047  0.0738  0.0738  0.0748  0.07
Fou 1978   8  0.6211  0.004  0.156  0.586  0.624  0.60
Francois 1956   58  0.4443  0.0062  0.0361  0.0336  0.0863  0.05
Goldenweiser 1946   22  0.6021  0.0022  0.1017  0.4711  0.4819  0.47
Gornostaeva 1994   57  0.4433  0.0038  0.0645  0.0612  0.5336  0.18
Groot 1988   3  0.642  0.0211  0.172  0.598  0.576  0.58
Hatto 1993   10  0.6142  0.0023  0.1120  0.4420  0.4322  0.43
Hatto 1997   17  0.6030  0.0024  0.1618  0.4617  0.4320  0.44
Horszowski 1983   25  0.5951  0.007  0.189  0.543  0.673  0.60
Indjic 2001   18  0.6040  0.0028  0.0726  0.3022  0.3825  0.34
Katin 1996   9  0.6159  0.0021  0.0923  0.4324  0.3624  0.39
Kiepura 1999   51  0.4847  0.0051  0.0741  0.0733  0.1145  0.09
Korecka 1992   53  0.4761  0.0063  0.0364  0.0350  0.0564  0.04
Kushner 1990   44  0.5316  0.0036  0.0739  0.0713  0.4534  0.18
Lilamand 2001   4  0.6312  0.005  0.233  0.594  0.731  0.66
Luisada 1990   31  0.5846  0.009  0.1312  0.5115  0.5116  0.51
Luisada 2008   49  0.496  0.0141  0.0935  0.0918  0.3735  0.18
Lushtak 2004   28  0.588  0.0126  0.1127  0.2424  0.2831  0.26
Malcuzynski 1951   20  0.6010  0.0113  0.1913  0.514  0.647  0.57
Malcuzynski 1961   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Magaloff 1977   21  0.6041  0.0019  0.1019  0.466  0.6312  0.54
Magin 1975   13  0.617  0.0114  0.2010  0.538  0.5114  0.52
Meguri 1997   41  0.5318  0.0056  0.0455  0.0436  0.0857  0.06
Milkina 1970   11  0.6129  0.0029  0.0828  0.2118  0.3828  0.28
Mohovich 1999   27  0.5838  0.0015  0.1616  0.4919  0.4918  0.49
Nezu 2005   42  0.5365  0.0057  0.0456  0.0450  0.0566  0.04
Ohlsson 1999   45  0.5053  0.0043  0.0836  0.0838  0.0750  0.07
Olejniczak 1990   26  0.5822  0.0027  0.0631  0.1610  0.4530  0.27
Osinska 1989   6  0.6219  0.0030  0.0829  0.1923  0.4027  0.28
Perlemuter 1992   54  0.4644  0.0064  0.0362  0.0333  0.1253  0.06
Poblocka 1999   33  0.5723  0.0042  0.0646  0.0638  0.0755  0.06
Rangell 2001   46  0.5058  0.0054  0.0454  0.0433  0.1647  0.08
Richter 1960   5  0.635  0.0110  0.157  0.569  0.645  0.60
Richter 1961   48  0.5017  0.0049  0.0647  0.0641  0.0756  0.06
Rosen 1989   36  0.5462  0.0050  0.0643  0.0627  0.4141  0.16
Rubinstein 1939   37  0.5435  0.0035  0.0552  0.0523  0.3543  0.13
Rubinstein 1952   30  0.5820  0.0017  0.1022  0.435  0.6117  0.51
Rubinstein 1966   14  0.603  0.016  0.175  0.5812  0.549  0.56
Rudanovskaya 2007   23  0.5926  0.0034  0.0649  0.0616  0.4140  0.16
Shebanova 2002   19  0.6013  0.0020  0.0925  0.3720  0.4323  0.40
Smith 1975   35  0.5557  0.0040  0.0934  0.0918  0.4233  0.19
Sztompka 1959   40  0.5354  0.0031  0.0930  0.1714  0.4826  0.29
Tanyel 1992   60  0.4355  0.0060  0.0363  0.0345  0.0762  0.05
Tsujii 2005   29  0.5828  0.0044  0.0650  0.0647  0.0659  0.06
Uninsky 1959   12  0.6131  0.0025  0.1524  0.4112  0.4621  0.43
Vardi 1988   52  0.4832  0.0045  0.0648  0.0639  0.0849  0.07
Wasowski 1980   59  0.4449  0.0061  0.0360  0.0333  0.1352  0.06
Zimerman 1975   56  0.4645  0.0053  0.0457  0.0437  0.0861  0.06
Average   1  0.771  0.821  0.811  0.9013  0.462  0.64
Random 1   65  0.0852  0.0066  0.0266  0.0212  0.2946  0.08
Random 2   66  0.0566  0.0067  0.0167  0.0128  0.1765  0.04
Random 3   67  0.0464  0.0065  0.0365  0.033  0.5444  0.13

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).