Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2054  0.0041  0.0643  0.0661  0.0446  0.05
Ax 1995   62  0.2310  0.0154  0.0457  0.0464  0.0563  0.04
Bacha 1998   57  0.2633  0.0059  0.0362  0.0356  0.0555  0.04
Barbosa 1983   56  0.2715  0.0126  0.0733  0.1863  0.0433  0.08
BenOr 1989   8  0.413  0.073  0.156  0.6059  0.0414  0.15
Biret 1990   30  0.3423  0.0029  0.0631  0.1954  0.0531  0.10
Brailowsky 1960   51  0.2849  0.0053  0.0456  0.0456  0.0551  0.04
Chiu 1999   49  0.2942  0.0052  0.0455  0.0452  0.0552  0.04
Clidat 1994   58  0.2558  0.0056  0.0359  0.0355  0.0562  0.04
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Cortot 1951   40  0.3032  0.0057  0.0363  0.0353  0.0466  0.03
Csalog 1996   28  0.3545  0.0033  0.1032  0.1950  0.0529  0.10
Czerny 1989   22  0.3620  0.0115  0.0915  0.5059  0.0418  0.14
Ezaki 2006   33  0.3448  0.0030  0.0630  0.2150  0.0528  0.10
Falvay 1989   14  0.3819  0.0113  0.1010  0.5752  0.064  0.18
Fiorentino 1962   25  0.3522  0.0035  0.1034  0.1054  0.0635  0.08
Fliere 1977   39  0.319  0.0242  0.0644  0.0655  0.0542  0.05
Fou 1978   24  0.3543  0.0025  0.1123  0.3349  0.0617  0.14
Francois 1956   47  0.2935  0.0058  0.0364  0.0351  0.0565  0.04
Goldenweiser 1946   61  0.2457  0.0064  0.0450  0.0459  0.0550  0.04
Gornostaeva 1994   54  0.2752  0.0034  0.0836  0.0864  0.0439  0.06
Groot 1988   29  0.3541  0.0037  0.0739  0.0753  0.0540  0.06
Hatto 1993   46  0.3064  0.0043  0.0640  0.0654  0.0641  0.06
Hatto 1997   43  0.3065  0.0047  0.0451  0.0453  0.0559  0.04
Horszowski 1983   42  0.3017  0.0140  0.0546  0.0561  0.0448  0.04
Indjic 2001   41  0.3066  0.0048  0.0738  0.0755  0.0637  0.06
Katin 1996   4  0.446  0.037  0.187  0.5957  0.056  0.17
Kiepura 1999   20  0.3730  0.0024  0.1022  0.3860  0.0422  0.12
Korecka 1992   37  0.3227  0.0049  0.0548  0.0564  0.0356  0.04
Kushner 1990   16  0.3840  0.0014  0.1313  0.5263  0.0324  0.12
Lilamand 2001   50  0.2936  0.0046  0.0547  0.0563  0.0358  0.04
Luisada 1990   38  0.3263  0.0032  0.0928  0.2264  0.0334  0.08
Luisada 2008   63  0.2234  0.0055  0.0453  0.0452  0.0560  0.04
Lushtak 2004   11  0.4026  0.005  0.164  0.6451  0.063  0.20
Malcuzynski 1951   55  0.2767  0.0060  0.0361  0.0362  0.0564  0.04
Malcuzynski 1961   15  0.3818  0.0117  0.1018  0.4556  0.0512  0.15
Magaloff 1977   59  0.2546  0.0061  0.0360  0.0349  0.0561  0.04
Magin 1975   13  0.3951  0.0020  0.1014  0.5061  0.0416  0.14
Meguri 1997   1  0.471  0.331  0.322  0.7440  0.071  0.23
Milkina 1970   12  0.4025  0.0022  0.1321  0.3958  0.0611  0.15
Mohovich 1999   9  0.4011  0.014  0.135  0.6061  0.0413  0.15
Nezu 2005   26  0.3531  0.0031  0.0729  0.2156  0.0530  0.10
Ohlsson 1999   27  0.3538  0.0027  0.0827  0.2457  0.0525  0.11
Olejniczak 1990   32  0.3424  0.0028  0.0726  0.2759  0.0432  0.10
Osinska 1989   3  0.4421  0.006  0.133  0.6664  0.0315  0.14
Perlemuter 1992   34  0.3339  0.0038  0.0737  0.0761  0.0343  0.05
Poblocka 1999   36  0.3255  0.0045  0.0641  0.0659  0.0544  0.05
Rangell 2001   7  0.4112  0.0110  0.1311  0.5749  0.059  0.17
Richter 1960   23  0.3629  0.0021  0.1020  0.4062  0.0420  0.13
Richter 1961   48  0.2959  0.0044  0.0642  0.0654  0.0545  0.05
Rosen 1989   5  0.4213  0.018  0.179  0.5762  0.0321  0.13
Rubinstein 1939   53  0.2853  0.0050  0.0452  0.0454  0.0554  0.04
Rubinstein 1952   45  0.3056  0.0051  0.0545  0.0556  0.0547  0.05
Rubinstein 1966   19  0.385  0.0611  0.1312  0.5247  0.065  0.18
Rudanovskaya 2007   31  0.3416  0.0118  0.0825  0.3154  0.0427  0.11
Shebanova 2002   21  0.3714  0.0119  0.1117  0.4656  0.0419  0.14
Smith 1975   60  0.2447  0.0063  0.0458  0.0462  0.0553  0.04
Sztompka 1959   52  0.2862  0.0062  0.0454  0.0464  0.0457  0.04
Tanyel 1992   6  0.418  0.029  0.138  0.5856  0.057  0.17
Tsujii 2005   17  0.3860  0.0016  0.0916  0.4955  0.068  0.17
Uninsky 1959   10  0.407  0.0223  0.1324  0.3160  0.0523  0.12
Vardi 1988   44  0.3061  0.0036  0.0935  0.0950  0.0536  0.07
Wasowski 1980   35  0.3237  0.0039  0.0549  0.0560  0.0449  0.04
Zimerman 1975   18  0.384  0.0612  0.1119  0.4453  0.0610  0.16
Average   2  0.462  0.232  0.411  0.7551  0.062  0.21
Random 1   66  0.0044  0.0067  0.0167  0.0149  0.0367  0.02
Random 2   65  0.0650  0.0065  0.0365  0.0311  0.4126  0.11
Random 3   67  -0.0128  0.0066  0.0266  0.0224  0.1738  0.06

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).