Blet 2003

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   57  0.2552  0.0059  0.0647  0.0633  0.0746  0.06
Ashkenazy 1981   21  0.427  0.0225  0.1124  0.3615  0.4724  0.41
Beliavsky 2004   60  0.1863  0.0060  0.0555  0.0551  0.0651  0.05
BenOr 1989   11  0.508  0.0212  0.217  0.7016  0.589  0.64
Biret 1990   36  0.3749  0.0035  0.0834  0.0850  0.0548  0.06
Blet 2003   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Block 1995   14  0.4820  0.0013  0.1815  0.565  0.5814  0.57
Brailowsky 1960   13  0.4830  0.0010  0.188  0.6612  0.627  0.64
Chiu 1999   31  0.3812  0.0142  0.0738  0.0739  0.0644  0.06
Clidat 1994   42  0.3350  0.0045  0.0552  0.0551  0.0555  0.05
Cohen 1997   52  0.296  0.0357  0.0550  0.0527  0.1839  0.09
Coop 1987   7  0.5126  0.009  0.155  0.718  0.588  0.64
Cortot 1951   62  0.0761  0.0063  0.0262  0.0256  0.0365  0.02
Czerny 1949   58  0.2456  0.0049  0.0645  0.0649  0.0554  0.05
Czerny 1949b   59  0.2157  0.0058  0.0554  0.0556  0.0458  0.04
Ezaki 2006   24  0.4137  0.0022  0.1522  0.4820  0.5119  0.49
Falvay 1989   5  0.5222  0.005  0.189  0.654  0.666  0.65
Ferenczy 1958   10  0.5017  0.0111  0.2612  0.6113  0.6212  0.61
Fiorentino 1962   2  0.574  0.052  0.512  0.753  0.753  0.75
Fliere 1977   37  0.3714  0.0132  0.0732  0.1414  0.4529  0.25
Fou 1978   23  0.4254  0.0024  0.1223  0.3722  0.4723  0.42
Francois 1956   30  0.3841  0.0041  0.0644  0.0614  0.4531  0.16
Hatto 1997   27  0.4065  0.0038  0.0646  0.0638  0.0841  0.07
Horowitz 1971   49  0.3039  0.0047  0.0553  0.0561  0.0461  0.04
Horowitz 1985   50  0.3013  0.0123  0.1226  0.2430  0.1830  0.21
Indjic 2001   28  0.3959  0.0039  0.0933  0.0938  0.0938  0.09
Kapell 1951   19  0.4511  0.0120  0.1317  0.548  0.5516  0.54
Kiepura 1999   26  0.4042  0.0021  0.1221  0.4817  0.3622  0.42
Kilenyi 1937   6  0.5225  0.006  0.234  0.722  0.754  0.73
Kissin 1993   44  0.3132  0.0056  0.0551  0.0547  0.0653  0.05
Kitain 1937   61  0.1460  0.0061  0.0643  0.0662  0.0360  0.04
Kushner 1990   17  0.4624  0.0019  0.1020  0.5119  0.4121  0.46
Levy 1951   54  0.2862  0.0055  0.0557  0.0554  0.0549  0.05
Luisada 1990   16  0.4716  0.0116  0.1014  0.572  0.6910  0.63
Lushtak 2004   48  0.3053  0.0037  0.0641  0.0643  0.0747  0.06
Lympany 1968   32  0.3847  0.0040  0.0639  0.0631  0.1934  0.11
Magaloff 1977   39  0.3433  0.0044  0.0548  0.0524  0.3133  0.12
Magaloff 1977b   47  0.3127  0.0052  0.0458  0.0435  0.0656  0.05
Magin 1975   3  0.543  0.054  0.253  0.755  0.685  0.71
Milkina 1970   33  0.3844  0.0033  0.0736  0.0742  0.0645  0.06
Mohovich 1999   40  0.3443  0.0046  0.0556  0.0543  0.0657  0.05
Nadelmann 1956   12  0.4835  0.0014  0.1613  0.6013  0.3820  0.48
Ohlsson 1999   18  0.469  0.0126  0.1325  0.3518  0.3126  0.33
Olejniczac 1990   1  0.581  0.541  0.531  0.805  0.781  0.79
Olejniczak 1991   4  0.5418  0.013  0.326  0.713  0.792  0.75
Osinska 1989   8  0.5110  0.0115  0.2510  0.6526  0.4017  0.51
Paderewski 1912   56  0.2634  0.0053  0.0461  0.0463  0.0363  0.03
Perahia 1994   51  0.3064  0.0051  0.0460  0.0453  0.0559  0.04
Perlemuter 1986   29  0.3938  0.0034  0.0640  0.0647  0.0552  0.05
Poblocka 1999   55  0.2819  0.0150  0.0737  0.0740  0.0643  0.06
Rangell 2001   53  0.2945  0.0054  0.0459  0.0457  0.0462  0.04
Risler 1920   22  0.4231  0.0018  0.1219  0.531  0.6113  0.57
Rosen 1989   25  0.4128  0.0030  0.0827  0.2323  0.5425  0.35
Rubinstein 1939   43  0.3115  0.0128  0.0930  0.1845  0.0636  0.10
Rubinstein 1952   15  0.472  0.108  0.1718  0.5418  0.4918  0.51
Rubinstein 1966   9  0.515  0.047  0.1311  0.6315  0.4815  0.55
Rummel 1943   38  0.3729  0.0029  0.1029  0.1912  0.3528  0.26
Shebanova 2002   34  0.3821  0.0031  0.0831  0.1637  0.0835  0.11
Smith 1975   41  0.3323  0.0043  0.0549  0.0547  0.0550  0.05
Szpilman 1948   20  0.4540  0.0017  0.1416  0.546  0.7011  0.61
Uninsky 1971   46  0.3151  0.0027  0.1128  0.2223  0.3127  0.26
Wasowski 1980   45  0.3148  0.0048  0.0642  0.0642  0.0642  0.06
Weissenberg 1971   35  0.3858  0.0036  0.0735  0.0724  0.2632  0.13
Random 1    64  0.0246  0.0064  0.0263  0.0213  0.3040  0.08
Random 2   63  0.0636  0.0062  0.0264  0.0216  0.3737  0.09
Random 3   65  -0.0355  0.0065  0.0265  0.0258  0.0364  0.02

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).