Random 1

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   38  -0.0232  0.0046  0.0539  0.0566  0.0156  0.02
Ashkenazy 1981   65  -0.0762  0.0063  0.0264  0.0266  0.0165  0.01
Beliavsky 2004   24  0.004  0.0713  0.1119  0.3864  0.0220  0.09
BenOr 1989   39  -0.0252  0.0042  0.0634  0.0665  0.0242  0.03
Biret 1990   40  -0.0219  0.0139  0.0538  0.0565  0.0244  0.03
Blet 2003   27  0.0014  0.0127  0.0827  0.2365  0.0227  0.07
Block 1995   60  -0.0538  0.0061  0.0261  0.0266  0.0164  0.01
Brailowsky 1960   32  -0.0151  0.0026  0.0826  0.2665  0.0225  0.07
Chiu 1999   23  0.0036  0.0010  0.1113  0.4764  0.0212  0.10
Clidat 1994   2  0.055  0.063  0.181  0.6362  0.042  0.16
Cohen 1997   5  0.046  0.048  0.197  0.5258  0.043  0.14
Coop 1987   43  -0.0254  0.0029  0.0930  0.1865  0.0228  0.06
Cortot 1951   17  0.0048  0.0020  0.0718  0.3864  0.0222  0.09
Czerny 1949   36  -0.0139  0.0031  0.0831  0.1565  0.0231  0.05
Czerny 1949b   37  -0.0126  0.0045  0.0445  0.0466  0.0149  0.02
Ezaki 2006   31  0.0022  0.0134  0.0535  0.0564  0.0333  0.04
Falvay 1989   9  0.039  0.027  0.184  0.5764  0.035  0.13
Ferenczy 1958   56  -0.0523  0.0136  0.0447  0.0465  0.0240  0.03
Fiorentino 1962   4  0.0431  0.0011  0.126  0.5464  0.0217  0.10
Fliere 1977   11  0.0212  0.019  0.1210  0.5065  0.0210  0.10
Fou 1978   42  -0.0211  0.0153  0.0358  0.0365  0.0251  0.02
Francois 1956   1  0.061  0.261  0.252  0.6263  0.034  0.14
Hatto 1997   19  0.0041  0.0023  0.0723  0.3365  0.0224  0.08
Horowitz 1971   29  0.0055  0.0040  0.0536  0.0566  0.0161  0.02
Horowitz 1985   51  -0.0342  0.0057  0.0353  0.0366  0.0145  0.02
Indjic 2001   21  0.0065  0.0030  0.0928  0.2165  0.0230  0.06
Kapell 1951   54  -0.0458  0.0048  0.0446  0.0466  0.0152  0.02
Kiepura 1999   28  0.0046  0.0033  0.0733  0.0765  0.0234  0.04
Kilenyi 1937   58  -0.0557  0.0064  0.0262  0.0266  0.0163  0.01
Kissin 1993   66  -0.0860  0.0066  0.0166  0.0165  0.0262  0.01
Kitain 1937   57  -0.0549  0.0065  0.0265  0.0266  0.0166  0.01
Kushner 1990   46  -0.0229  0.0054  0.0357  0.0365  0.0253  0.02
Levy 1951   48  -0.0350  0.0037  0.0449  0.0466  0.0147  0.02
Luisada 1990   47  -0.0321  0.0151  0.0448  0.0466  0.0158  0.02
Lushtak 2004   12  0.023  0.126  0.1411  0.4965  0.0216  0.10
Lympany 1968   15  0.0116  0.0117  0.0917  0.3865  0.0218  0.09
Magaloff 1977   63  -0.0643  0.0052  0.0352  0.0365  0.0254  0.02
Magaloff 1977b   64  -0.0759  0.0060  0.0260  0.0265  0.0260  0.02
Magin 1975   53  -0.0463  0.0044  0.0441  0.0465  0.0238  0.03
Milkina 1970   10  0.0234  0.0025  0.0824  0.3165  0.0313  0.10
Mohovich 1999   14  0.028  0.0315  0.1115  0.4264  0.039  0.11
Nadelmann 1956   7  0.0344  0.0012  0.1312  0.4864  0.0215  0.10
Ohlsson 1999   25  0.0017  0.0119  0.1214  0.4666  0.0126  0.07
Olejniczac 1990   8  0.0345  0.0016  0.139  0.5164  0.036  0.12
Olejniczak 1991   49  -0.0347  0.0055  0.0354  0.0365  0.0248  0.02
Osinska 1989   18  0.0030  0.0024  0.0722  0.3464  0.0311  0.10
Paderewski 1912   45  -0.0256  0.0058  0.0355  0.0365  0.0257  0.02
Perahia 1994   34  -0.0161  0.0041  0.0537  0.0565  0.0241  0.03
Perlemuter 1986   13  0.0227  0.005  0.135  0.5565  0.0214  0.10
Poblocka 1999   50  -0.0337  0.0050  0.0444  0.0465  0.0236  0.03
Rangell 2001   55  -0.0435  0.0049  0.0450  0.0465  0.0243  0.03
Risler 1920   26  0.0013  0.0121  0.0825  0.3065  0.0223  0.08
Rosen 1989   3  0.047  0.044  0.148  0.5263  0.037  0.12
Rubinstein 1939   20  0.0025  0.0114  0.1120  0.3765  0.0219  0.09
Rubinstein 1952   33  -0.0110  0.0132  0.0732  0.1364  0.0232  0.05
Rubinstein 1966   16  0.0033  0.0022  0.0821  0.3764  0.038  0.11
Rummel 1943   61  -0.0540  0.0047  0.0451  0.0466  0.0159  0.02
Shebanova 2002   41  -0.0253  0.0028  0.0829  0.2165  0.0229  0.06
Smith 1975   30  0.0020  0.0135  0.0440  0.0465  0.0337  0.03
Szpilman 1948   52  -0.0424  0.0159  0.0359  0.0366  0.0146  0.02
Uninsky 1971   22  0.0015  0.0118  0.0916  0.3965  0.0221  0.09
Wasowski 1980   44  -0.0228  0.0043  0.0442  0.0465  0.0235  0.03
Weissenberg 1971   62  -0.0564  0.0062  0.0263  0.0265  0.0250  0.02
Average   35  -0.0166  0.0038  0.0443  0.0465  0.0239  0.03
Random 1    target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 2   59  -0.0518  0.0156  0.0356  0.0366  0.0155  0.02
Random 3   6  0.042  0.192  0.233  0.581  0.641  0.61

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).