Rosen 1989

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   64  0.2213  0.0111  0.2222  0.5219  0.4614  0.49
Ax 1995   58  0.3633  0.0033  0.0932  0.1843  0.0633  0.10
Bacha 1998   59  0.3665  0.0063  0.0265  0.0267  0.0166  0.01
Barbosa 1983   63  0.2266  0.0046  0.0551  0.0561  0.0453  0.04
BenOr 1989   24  0.5631  0.0023  0.1520  0.5444  0.0623  0.18
Biret 1990   14  0.6010  0.0115  0.2112  0.6518  0.4013  0.51
Brailowsky 1960   55  0.3921  0.0050  0.0458  0.0445  0.0644  0.05
Chiu 1999   46  0.4548  0.0047  0.0553  0.0545  0.0646  0.05
Clidat 1994   39  0.4836  0.0028  0.1330  0.3546  0.0630  0.14
Cohen 1997   49  0.4415  0.0041  0.0839  0.0823  0.3825  0.17
Cortot 1951   41  0.4756  0.0058  0.0549  0.0563  0.0357  0.04
Csalog 1996   19  0.5937  0.0024  0.1521  0.5357  0.0428  0.15
Czerny 1989   36  0.5140  0.0021  0.0924  0.4740  0.0721  0.18
Ezaki 2006   18  0.598  0.025  0.228  0.7010  0.578  0.63
Falvay 1989   17  0.5934  0.0020  0.0918  0.5557  0.0524  0.17
Fiorentino 1962   27  0.5522  0.0037  0.0840  0.0859  0.0441  0.06
Fliere 1977   51  0.4357  0.0062  0.0262  0.0267  0.0165  0.01
Fou 1978   48  0.4444  0.0054  0.0642  0.0661  0.0352  0.04
Francois 1956   43  0.4727  0.0057  0.0643  0.0643  0.0642  0.06
Goldenweiser 1946   37  0.5028  0.0051  0.0457  0.0461  0.0451  0.04
Gornostaeva 1994   62  0.2360  0.0064  0.0263  0.0260  0.0363  0.02
Groot 1988   15  0.606  0.0218  0.1014  0.6333  0.1419  0.30
Hatto 1993   42  0.4754  0.0053  0.0550  0.0561  0.0356  0.04
Hatto 1997   34  0.5263  0.0045  0.0648  0.0661  0.0354  0.04
Horszowski 1983   40  0.4818  0.0042  0.0644  0.0654  0.0443  0.05
Indjic 2001   31  0.5367  0.0052  0.0554  0.0561  0.0355  0.04
Katin 1996   4  0.707  0.028  0.284  0.7710  0.566  0.66
Kiepura 1999   21  0.5717  0.0025  0.1025  0.4417  0.4116  0.42
Korecka 1992   54  0.4042  0.0067  0.0167  0.0164  0.0267  0.01
Kushner 1990   53  0.4155  0.0040  0.0741  0.0745  0.0640  0.06
Lilamand 2001   12  0.6220  0.0010  0.209  0.6816  0.607  0.64
Luisada 1990   28  0.5449  0.0017  0.1017  0.5544  0.0622  0.18
Luisada 2008   61  0.3232  0.0056  0.0456  0.0461  0.0359  0.03
Lushtak 2004   35  0.5152  0.0038  0.0935  0.0951  0.0538  0.07
Malcuzynski 1951   52  0.4241  0.0055  0.0555  0.0541  0.0650  0.05
Malcuzynski 1961   29  0.5424  0.0027  0.1027  0.4143  0.0626  0.16
Magaloff 1977   22  0.5719  0.0014  0.2416  0.589  0.5311  0.55
Magin 1975   44  0.4761  0.0043  0.0645  0.0661  0.0448  0.05
Meguri 1997   5  0.6912  0.017  0.277  0.743  0.723  0.73
Milkina 1970   16  0.6025  0.0030  0.1329  0.3750  0.0529  0.14
Mohovich 1999   20  0.5826  0.0026  0.1126  0.4360  0.0431  0.13
Nezu 2005   8  0.6651  0.0013  0.1915  0.606  0.5610  0.58
Ohlsson 1999   25  0.5623  0.0019  0.1023  0.5129  0.2018  0.32
Olejniczak 1990   23  0.5729  0.0032  0.1031  0.2135  0.0832  0.13
Osinska 1989   3  0.723  0.073  0.226  0.756  0.645  0.69
Perlemuter 1992   38  0.5038  0.0044  0.0646  0.0640  0.0639  0.06
Poblocka 1999   30  0.5350  0.0035  0.0936  0.0950  0.0535  0.07
Rangell 2001   2  0.731  0.641  0.631  0.861  0.851  0.85
Richter 1960   7  0.6716  0.009  0.255  0.768  0.644  0.70
Richter 1961   47  0.4453  0.0048  0.0552  0.0552  0.0545  0.05
Rosen 1989   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Rubinstein 1939   45  0.4730  0.0034  0.0838  0.0858  0.0347  0.05
Rubinstein 1952   57  0.3758  0.0059  0.0359  0.0363  0.0264  0.02
Rubinstein 1966   26  0.5645  0.0022  0.1519  0.5452  0.0527  0.16
Rudanovskaya 2007   11  0.6314  0.0031  0.0933  0.1761  0.0337  0.07
Shebanova 2002   13  0.612  0.094  0.1711  0.6712  0.559  0.61
Smith 1975   32  0.5235  0.0036  0.0837  0.0850  0.0636  0.07
Sztompka 1959   56  0.3862  0.0061  0.0361  0.0361  0.0358  0.03
Tanyel 1992   10  0.644  0.032  0.233  0.775  0.792  0.78
Tsujii 2005   6  0.675  0.0212  0.1610  0.6826  0.2217  0.39
Uninsky 1959   9  0.6511  0.0116  0.1313  0.6413  0.4412  0.53
Vardi 1988   60  0.3464  0.0049  0.0647  0.0652  0.0549  0.05
Wasowski 1980   33  0.5239  0.0029  0.1028  0.3718  0.5015  0.43
Zimerman 1975   50  0.4343  0.0039  0.0934  0.0941  0.0734  0.08
Average   1  0.739  0.016  0.262  0.8052  0.0520  0.20
Random 1   65  0.0046  0.0066  0.0266  0.0263  0.0262  0.02
Random 2   66  0.0059  0.0065  0.0264  0.0257  0.0361  0.02
Random 3   67  -0.0547  0.0060  0.0360  0.0356  0.0360  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).