Nezu 2005

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2515  0.016  0.1512  0.5020  0.4611  0.48
Ax 1995   58  0.484  0.029  0.0813  0.4912  0.578  0.53
Bacha 1998   49  0.5231  0.0041  0.0737  0.0728  0.2132  0.12
Barbosa 1983   63  0.2937  0.0052  0.0457  0.0455  0.0561  0.04
BenOr 1989   46  0.5353  0.0057  0.0454  0.0463  0.0365  0.03
Biret 1990   35  0.5716  0.0128  0.0729  0.1733  0.1331  0.15
Brailowsky 1960   60  0.4327  0.0051  0.0649  0.0639  0.0840  0.07
Chiu 1999   32  0.5759  0.0040  0.0646  0.0635  0.0841  0.07
Clidat 1994   53  0.5149  0.0031  0.0731  0.1534  0.1033  0.12
Cohen 1997   62  0.3367  0.0064  0.0265  0.0241  0.0564  0.03
Cortot 1951   16  0.6261  0.0045  0.0739  0.0734  0.0649  0.06
Csalog 1996   10  0.6628  0.008  0.127  0.5632  0.1519  0.29
Czerny 1989   50  0.5260  0.0044  0.0643  0.0659  0.0451  0.05
Ezaki 2006   39  0.5629  0.0017  0.1118  0.3933  0.1523  0.24
Falvay 1989   12  0.6535  0.0014  0.1010  0.5245  0.0626  0.18
Fiorentino 1962   33  0.5751  0.0042  0.0644  0.0651  0.0554  0.05
Fliere 1977   45  0.5348  0.0061  0.0460  0.0461  0.0455  0.04
Fou 1978   43  0.5432  0.0056  0.0459  0.0454  0.0557  0.04
Francois 1956   30  0.5836  0.0036  0.0835  0.0814  0.5525  0.21
Goldenweiser 1946   21  0.6052  0.0037  0.0738  0.0749  0.0543  0.06
Gornostaeva 1994   61  0.3950  0.0062  0.0362  0.0351  0.0562  0.04
Groot 1988   36  0.5634  0.0034  0.0834  0.0842  0.0642  0.07
Hatto 1993   13  0.6346  0.0030  0.0828  0.1950  0.0536  0.10
Hatto 1997   8  0.6711  0.0120  0.0920  0.3726  0.2716  0.32
Horszowski 1983   54  0.5164  0.0047  0.0553  0.0551  0.0550  0.05
Indjic 2001   5  0.6839  0.0024  0.0925  0.3132  0.1524  0.22
Katin 1996   7  0.6726  0.0015  0.1116  0.4531  0.2117  0.31
Kiepura 1999   51  0.5157  0.0058  0.0552  0.0534  0.1039  0.07
Korecka 1992   38  0.5640  0.0060  0.0363  0.0346  0.0658  0.04
Kushner 1990   59  0.4745  0.0055  0.0455  0.0440  0.0752  0.05
Lilamand 2001   42  0.5455  0.0049  0.0641  0.0639  0.0746  0.06
Luisada 1990   20  0.6112  0.0119  0.0921  0.3430  0.1922  0.25
Luisada 2008   37  0.5617  0.0025  0.0726  0.2522  0.3220  0.28
Lushtak 2004   28  0.5818  0.0029  0.0727  0.2140  0.0734  0.12
Malcuzynski 1951   52  0.5123  0.0059  0.0361  0.0343  0.0663  0.04
Malcuzynski 1961   44  0.5342  0.0053  0.0550  0.0556  0.0459  0.04
Magaloff 1977   41  0.5456  0.0046  0.0642  0.0643  0.0647  0.06
Magin 1975   31  0.5865  0.0023  0.1024  0.3136  0.0728  0.15
Meguri 1997   9  0.678  0.0116  0.159  0.528  0.616  0.56
Milkina 1970   18  0.6230  0.0039  0.0645  0.0647  0.0644  0.06
Mohovich 1999   26  0.595  0.0135  0.0836  0.0849  0.0548  0.06
Nezu 2005   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Ohlsson 1999   17  0.6219  0.0022  0.1117  0.4121  0.3715  0.39
Olejniczak 1990   19  0.6120  0.0043  0.0740  0.0733  0.1137  0.09
Osinska 1989   6  0.6844  0.0026  0.0823  0.3330  0.1921  0.25
Perlemuter 1992   40  0.5514  0.0150  0.0551  0.0516  0.4527  0.15
Poblocka 1999   3  0.703  0.063  0.203  0.708  0.652  0.67
Rangell 2001   23  0.6033  0.0021  0.0922  0.3423  0.4614  0.40
Richter 1960   22  0.6043  0.0038  0.0647  0.0647  0.0553  0.05
Richter 1961   55  0.5166  0.0054  0.0456  0.0451  0.0556  0.04
Rosen 1989   11  0.669  0.017  0.126  0.5615  0.604  0.58
Rubinstein 1939   27  0.5921  0.0011  0.1011  0.5112  0.5410  0.52
Rubinstein 1952   47  0.526  0.0133  0.0633  0.1245  0.0638  0.08
Rubinstein 1966   24  0.6025  0.0010  0.088  0.5230  0.1718  0.30
Rudanovskaya 2007   4  0.6962  0.0027  0.0830  0.1631  0.1429  0.15
Shebanova 2002   15  0.6313  0.015  0.204  0.6016  0.487  0.54
Smith 1975   14  0.6322  0.0013  0.1214  0.488  0.569  0.52
Sztompka 1959   57  0.4863  0.0063  0.0458  0.0456  0.0560  0.04
Tanyel 1992   56  0.5010  0.0118  0.1019  0.3916  0.5712  0.47
Tsujii 2005   2  0.752  0.202  0.592  0.842  0.721  0.78
Uninsky 1959   25  0.6047  0.0048  0.0648  0.0640  0.0645  0.06
Vardi 1988   34  0.577  0.014  0.195  0.6011  0.583  0.59
Wasowski 1980   29  0.5824  0.0012  0.1115  0.473  0.705  0.57
Zimerman 1975   48  0.5238  0.0032  0.0732  0.1332  0.1730  0.15
Average   1  0.811  0.551  0.551  0.8731  0.1813  0.40
Random 1   66  0.0054  0.0067  0.0167  0.0140  0.0467  0.02
Random 2   65  0.0258  0.0066  0.0266  0.0260  0.0366  0.02
Random 3   67  0.0041  0.0065  0.0364  0.0318  0.3735  0.11

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).