Brailowsky 1960

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   60  0.1844  0.0061  0.0460  0.0462  0.0458  0.04
Ashkenazy 1981   48  0.3358  0.0050  0.0556  0.0552  0.0554  0.05
Beliavsky 2004   62  0.1257  0.0059  0.0362  0.0362  0.0363  0.03
BenOr 1989   4  0.5816  0.004  0.212  0.769  0.665  0.71
Biret 1990   32  0.4321  0.0030  0.1030  0.3013  0.3829  0.34
Blet 2003   18  0.4813  0.0012  0.1912  0.628  0.6611  0.64
Block 1995   22  0.4620  0.0019  0.1321  0.506  0.5822  0.54
Brailowsky 1960   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Chiu 1999   53  0.3138  0.0053  0.0842  0.0853  0.0447  0.06
Clidat 1994   34  0.4223  0.0034  0.0938  0.0918  0.3536  0.18
Cohen 1997   61  0.1845  0.0060  0.0461  0.0452  0.0460  0.04
Coop 1987   35  0.4137  0.0026  0.0931  0.2532  0.2532  0.25
Cortot 1951   59  0.206  0.0262  0.0458  0.0450  0.0656  0.05
Czerny 1949   12  0.5032  0.0017  0.1615  0.5910  0.6116  0.60
Czerny 1949b   26  0.4553  0.0025  0.1024  0.409  0.6323  0.50
Ezaki 2006   17  0.4929  0.0013  0.1914  0.6013  0.6214  0.61
Falvay 1989   21  0.4635  0.0024  0.1520  0.509  0.5821  0.54
Ferenczy 1958   8  0.543  0.192  0.233  0.723  0.732  0.72
Fiorentino 1962   19  0.4754  0.0022  0.1618  0.5111  0.6418  0.57
Fliere 1977   44  0.3647  0.0042  0.0939  0.0930  0.1840  0.13
Fou 1978   7  0.5414  0.0010  0.1513  0.6211  0.6313  0.62
Francois 1956   39  0.3948  0.0041  0.0749  0.0718  0.3937  0.17
Hatto 1997   55  0.2663  0.0055  0.0654  0.0654  0.0452  0.05
Horowitz 1971   11  0.5018  0.0018  0.1622  0.495  0.6120  0.55
Horowitz 1985   29  0.448  0.0116  0.1423  0.4710  0.5124  0.49
Indjic 2001   57  0.2555  0.0056  0.0555  0.0558  0.0359  0.04
Kapell 1951   30  0.4327  0.0029  0.0926  0.3511  0.5226  0.43
Kiepura 1999   13  0.5010  0.0115  0.1510  0.647  0.6212  0.63
Kilenyi 1937   9  0.5315  0.0011  0.179  0.661  0.774  0.71
Kissin 1993   56  0.2524  0.0057  0.0557  0.0556  0.0457  0.04
Kitain 1937   58  0.2241  0.0058  0.0653  0.0645  0.0555  0.05
Kushner 1990   31  0.4331  0.0028  0.0728  0.3326  0.3130  0.32
Levy 1951   20  0.4751  0.0021  0.1217  0.551  0.6815  0.61
Luisada 1990   16  0.4912  0.0023  0.1225  0.366  0.6425  0.48
Lushtak 2004   51  0.3264  0.0052  0.0845  0.0851  0.0550  0.06
Lympany 1968   41  0.3828  0.0044  0.0844  0.0824  0.3338  0.16
Magaloff 1977   43  0.3840  0.0040  0.1035  0.1010  0.4334  0.21
Magaloff 1977b   47  0.3439  0.0046  0.0652  0.0617  0.3041  0.13
Magin 1975   2  0.595  0.076  0.224  0.723  0.703  0.71
Milkina 1970   50  0.3265  0.0047  0.0846  0.0861  0.0448  0.06
Mohovich 1999   46  0.3434  0.0045  0.0748  0.0726  0.3239  0.15
Nadelmann 1956   1  0.621  0.291  0.291  0.801  0.701  0.75
Ohlsson 1999   42  0.3842  0.0043  0.1033  0.1050  0.0545  0.07
Olejniczac 1990   14  0.5025  0.0014  0.188  0.678  0.727  0.69
Olejniczak 1991   27  0.4552  0.0032  0.1629  0.3215  0.4127  0.36
Osinska 1989   3  0.5811  0.015  0.226  0.709  0.648  0.67
Paderewski 1912   52  0.3246  0.0051  0.0750  0.0747  0.0453  0.05
Perahia 1994   40  0.3962  0.0039  0.0843  0.0843  0.0746  0.07
Perlemuter 1986   25  0.4526  0.0036  0.1037  0.1034  0.0744  0.08
Poblocka 1999   5  0.554  0.127  0.2111  0.646  0.6610  0.65
Rangell 2001   54  0.2949  0.0054  0.0459  0.0450  0.0561  0.04
Risler 1920   37  0.4136  0.0035  0.0847  0.085  0.5633  0.21
Rosen 1989   6  0.552  0.203  0.347  0.701  0.716  0.70
Rubinstein 1939   45  0.3530  0.0049  0.0751  0.0762  0.0351  0.05
Rubinstein 1952   15  0.507  0.018  0.1516  0.5710  0.5819  0.57
Rubinstein 1966   10  0.5343  0.009  0.185  0.719  0.619  0.66
Rummel 1943   23  0.469  0.0127  0.0832  0.177  0.5031  0.29
Shebanova 2002   33  0.4317  0.0031  0.1327  0.3424  0.3628  0.35
Smith 1975   28  0.4450  0.0037  0.1036  0.1030  0.1342  0.11
Szpilman 1948   24  0.4619  0.0020  0.1119  0.508  0.6517  0.57
Uninsky 1971   49  0.3356  0.0048  0.0841  0.0848  0.0549  0.06
Wasowski 1980   38  0.4033  0.0033  0.1034  0.1033  0.1143  0.10
Weissenberg 1971   36  0.4159  0.0038  0.0940  0.0918  0.3735  0.18
Random 1    63  -0.0161  0.0063  0.0263  0.0238  0.0562  0.03
Random 2   64  -0.0160  0.0065  0.0265  0.0255  0.0464  0.03
Random 3   65  -0.0222  0.0064  0.0264  0.0243  0.0665  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).