Rudanovskaya 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   2  0.521  0.201  0.201  0.6828  0.231  0.40
Ax 1995   8  0.489  0.036  0.162  0.6347  0.085  0.22
Bacha 1998   52  0.3451  0.0041  0.0642  0.0650  0.0637  0.06
Barbosa 1983   44  0.3746  0.0051  0.0461  0.0460  0.0459  0.04
BenOr 1989   17  0.4522  0.0126  0.0926  0.2853  0.0721  0.14
Biret 1990   25  0.4239  0.0028  0.0728  0.2358  0.0431  0.10
Brailowsky 1960   20  0.4447  0.0024  0.1016  0.4148  0.0712  0.17
Chiu 1999   29  0.4128  0.0034  0.0734  0.0738  0.0636  0.06
Clidat 1994   7  0.485  0.059  0.188  0.5558  0.0418  0.15
Cohen 1997   61  0.2732  0.0059  0.0456  0.0428  0.1434  0.07
Cortot 1951   63  0.1960  0.0063  0.0549  0.0560  0.0363  0.04
Csalog 1996   11  0.4710  0.0212  0.1514  0.4431  0.153  0.26
Czerny 1989   27  0.4149  0.0027  0.0924  0.3359  0.0523  0.13
Ezaki 2006   43  0.3723  0.0043  0.0645  0.0662  0.0442  0.05
Falvay 1989   3  0.5011  0.0210  0.1410  0.5157  0.0613  0.17
Fiorentino 1962   35  0.3926  0.0036  0.0640  0.0661  0.0453  0.05
Fliere 1977   10  0.474  0.084  0.159  0.5339  0.087  0.21
Fou 1978   9  0.488  0.035  0.196  0.5843  0.078  0.20
Francois 1956   37  0.3930  0.0031  0.0930  0.2054  0.0628  0.11
Goldenweiser 1946   31  0.4020  0.0147  0.0548  0.0557  0.0544  0.05
Gornostaeva 1994   45  0.3764  0.0052  0.0455  0.0457  0.0462  0.04
Groot 1988   5  0.496  0.047  0.263  0.6241  0.094  0.24
Hatto 1993   22  0.4325  0.0016  0.1015  0.4259  0.0522  0.14
Hatto 1997   14  0.4535  0.0015  0.1713  0.4649  0.0710  0.18
Horszowski 1983   60  0.2756  0.0060  0.0457  0.0456  0.0455  0.04
Indjic 2001   15  0.4512  0.0113  0.1712  0.4858  0.0519  0.15
Katin 1996   46  0.3634  0.0040  0.0644  0.0658  0.0449  0.05
Kiepura 1999   32  0.3933  0.0049  0.0643  0.0658  0.0543  0.05
Korecka 1992   39  0.3854  0.0042  0.0646  0.0643  0.0833  0.07
Kushner 1990   6  0.497  0.038  0.197  0.5760  0.0417  0.15
Lilamand 2001   54  0.3431  0.0050  0.0463  0.0441  0.0650  0.05
Luisada 1990   57  0.3162  0.0058  0.0737  0.0759  0.0541  0.06
Luisada 2008   48  0.3537  0.0054  0.0458  0.0460  0.0460  0.04
Lushtak 2004   30  0.4052  0.0032  0.0832  0.1558  0.0532  0.09
Malcuzynski 1951   36  0.3955  0.0039  0.0639  0.0661  0.0554  0.05
Malcuzynski 1961   49  0.3543  0.0046  0.0554  0.0560  0.0548  0.05
Magaloff 1977   58  0.3050  0.0053  0.0462  0.0460  0.0461  0.04
Magin 1975   55  0.3358  0.0056  0.0551  0.0555  0.0647  0.05
Meguri 1997   42  0.3827  0.0033  0.0735  0.0746  0.0538  0.06
Milkina 1970   41  0.3861  0.0021  0.0719  0.3954  0.0615  0.15
Mohovich 1999   24  0.4214  0.0129  0.0927  0.2450  0.0626  0.12
Nezu 2005   38  0.3859  0.0038  0.0736  0.0761  0.0452  0.05
Ohlsson 1999   26  0.4142  0.0020  0.0925  0.3259  0.0427  0.11
Olejniczak 1990   4  0.492  0.183  0.215  0.6041  0.086  0.22
Osinska 1989   18  0.4415  0.0118  0.0820  0.3847  0.0811  0.17
Perlemuter 1992   56  0.3248  0.0055  0.0460  0.0453  0.0456  0.04
Poblocka 1999   51  0.3544  0.0057  0.0550  0.0559  0.0545  0.05
Rangell 2001   59  0.2945  0.0061  0.0459  0.0463  0.0365  0.03
Richter 1960   34  0.3963  0.0048  0.0641  0.0663  0.0451  0.05
Richter 1961   40  0.3816  0.0144  0.0553  0.0537  0.0735  0.06
Rosen 1989   23  0.4340  0.0023  0.0823  0.3358  0.0524  0.13
Rubinstein 1939   53  0.3419  0.0137  0.0638  0.0662  0.0357  0.04
Rubinstein 1952   28  0.4138  0.0022  0.0722  0.3656  0.0525  0.13
Rubinstein 1966   47  0.3629  0.0035  0.0833  0.0856  0.0539  0.06
Rudanovskaya 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   16  0.4513  0.0114  0.1517  0.4131  0.272  0.33
Smith 1975   50  0.3557  0.0045  0.0552  0.0552  0.0646  0.05
Sztompka 1959   62  0.2465  0.0062  0.0547  0.0561  0.0458  0.04
Tanyel 1992   13  0.4621  0.0111  0.1211  0.4952  0.0614  0.17
Tsujii 2005   1  0.523  0.182  0.284  0.6048  0.079  0.20
Uninsky 1959   21  0.4336  0.0025  0.0921  0.3647  0.0616  0.15
Vardi 1988   12  0.4618  0.0117  0.0818  0.3951  0.0520  0.14
Wasowski 1980   33  0.3917  0.0119  0.0631  0.1548  0.0729  0.10
Zimerman 1975   19  0.4424  0.0030  0.0929  0.2158  0.0530  0.10
Random 1   66  -0.0641  0.0066  0.0166  0.0148  0.0466  0.02
Random 2   64  -0.0466  0.0064  0.0264  0.0228  0.1840  0.06
Random 3   65  -0.0653  0.0065  0.0265  0.0252  0.0464  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).