Rudanovskaya 2007

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   17  0.623  0.113  0.252  0.6842  0.0711  0.22
Ax 1995   13  0.6314  0.017  0.1514  0.4958  0.0621  0.17
Bacha 1998   58  0.4663  0.0057  0.0459  0.0434  0.0646  0.05
Barbosa 1983   61  0.4248  0.0036  0.0642  0.0657  0.0449  0.05
BenOr 1989   59  0.4427  0.0047  0.0549  0.0556  0.0555  0.05
Biret 1990   47  0.5345  0.0048  0.0634  0.0648  0.0641  0.06
Brailowsky 1960   46  0.5361  0.0034  0.0639  0.0662  0.0444  0.05
Chiu 1999   23  0.6110  0.0214  0.1117  0.4629  0.244  0.33
Clidat 1994   14  0.638  0.0316  0.1010  0.5236  0.099  0.22
Cohen 1997   56  0.4742  0.0046  0.0547  0.0518  0.3828  0.14
Cortot 1951   63  0.2362  0.0063  0.0645  0.0664  0.0364  0.04
Csalog 1996   9  0.667  0.038  0.145  0.5930  0.175  0.32
Czerny 1989   4  0.6738  0.0017  0.1020  0.4250  0.0526  0.14
Ezaki 2006   27  0.5912  0.0142  0.0548  0.0560  0.0542  0.05
Falvay 1989   6  0.6713  0.0112  0.1713  0.5039  0.0715  0.19
Fiorentino 1962   42  0.5439  0.0041  0.0640  0.0658  0.0553  0.05
Fliere 1977   11  0.644  0.095  0.2011  0.5136  0.0812  0.20
Fou 1978   41  0.5531  0.0023  0.1024  0.3044  0.0725  0.14
Francois 1956   21  0.6130  0.004  0.186  0.5924  0.251  0.38
Goldenweiser 1946   19  0.6215  0.0150  0.0551  0.0530  0.1233  0.08
Gornostaeva 1994   62  0.3518  0.0159  0.0557  0.0563  0.0462  0.04
Groot 1988   2  0.692  0.172  0.244  0.6030  0.147  0.29
Hatto 1993   22  0.6129  0.0030  0.0927  0.2753  0.0629  0.13
Hatto 1997   15  0.6216  0.0129  0.1026  0.2954  0.0530  0.12
Horszowski 1983   44  0.5443  0.0062  0.0638  0.0659  0.0443  0.05
Indjic 2001   16  0.6217  0.0127  0.1022  0.3350  0.0627  0.14
Katin 1996   34  0.5749  0.0040  0.0637  0.0647  0.0738  0.06
Kiepura 1999   60  0.4340  0.0058  0.0553  0.0559  0.0458  0.04
Korecka 1992   53  0.4846  0.0060  0.0641  0.0653  0.0547  0.05
Kushner 1990   57  0.4623  0.0021  0.1030  0.2558  0.0432  0.10
Lilamand 2001   24  0.619  0.0222  0.1121  0.3414  0.343  0.34
Luisada 1990   51  0.4965  0.0054  0.0461  0.0462  0.0461  0.04
Luisada 2008   55  0.4852  0.0056  0.0463  0.0464  0.0365  0.03
Lushtak 2004   38  0.5544  0.0028  0.0825  0.2941  0.0823  0.15
Malcuzynski 1951   45  0.5464  0.0037  0.0555  0.0558  0.0556  0.05
Malcuzynski 1961   52  0.4860  0.0045  0.0556  0.0561  0.0460  0.04
Magaloff 1977   54  0.4853  0.0049  0.0558  0.0543  0.0740  0.06
Magin 1975   48  0.5166  0.0061  0.0644  0.0652  0.0637  0.06
Meguri 1997   20  0.6225  0.0019  0.1318  0.4519  0.282  0.35
Milkina 1970   26  0.6047  0.0020  0.0919  0.4451  0.0622  0.16
Mohovich 1999   7  0.676  0.0513  0.119  0.5538  0.0714  0.20
Nezu 2005   49  0.5057  0.0035  0.0552  0.0556  0.0651  0.05
Ohlsson 1999   5  0.6711  0.019  0.128  0.5640  0.0713  0.20
Olejniczak 1990   32  0.5721  0.0133  0.0633  0.0663  0.0457  0.05
Osinska 1989   25  0.6022  0.0125  0.0823  0.3254  0.0624  0.14
Perlemuter 1992   31  0.5851  0.0055  0.0462  0.0450  0.0559  0.04
Poblocka 1999   37  0.5637  0.0044  0.0646  0.0655  0.0636  0.06
Rangell 2001   43  0.5450  0.0053  0.0460  0.0462  0.0463  0.04
Richter 1960   29  0.5936  0.0026  0.0828  0.2630  0.1317  0.18
Richter 1961   35  0.5741  0.0031  0.1231  0.2328  0.1218  0.17
Rosen 1989   12  0.6434  0.0010  0.123  0.6133  0.138  0.28
Rubinstein 1939   18  0.6220  0.0118  0.1116  0.4738  0.0816  0.19
Rubinstein 1952   40  0.5535  0.0024  0.1029  0.2657  0.0531  0.11
Rubinstein 1966   39  0.5533  0.0039  0.0550  0.0542  0.0739  0.06
Rudanovskaya 2007   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Shebanova 2002   3  0.675  0.066  0.1115  0.4727  0.206  0.31
Smith 1975   36  0.5755  0.0038  0.0554  0.0551  0.0645  0.05
Sztompka 1959   33  0.5754  0.0052  0.0636  0.0655  0.0548  0.05
Tanyel 1992   28  0.5924  0.0032  0.0932  0.1762  0.0434  0.08
Tsujii 2005   1  0.731  0.281  0.271  0.7242  0.0710  0.22
Uninsky 1959   8  0.6732  0.0015  0.1012  0.5151  0.0619  0.17
Vardi 1988   10  0.6628  0.0011  0.167  0.5759  0.0520  0.17
Wasowski 1980   50  0.4919  0.0151  0.0643  0.0645  0.0635  0.06
Zimerman 1975   30  0.5826  0.0043  0.0635  0.0662  0.0454  0.05
Random 1   66  -0.0756  0.0066  0.0166  0.0142  0.0466  0.02
Random 2   64  -0.0358  0.0064  0.0264  0.0226  0.1550  0.05
Random 3   65  -0.0459  0.0065  0.0265  0.0225  0.1452  0.05

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).