Perlemuter 1992

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   66  -0.0566  0.0066  0.0166  0.0165  0.0266  0.01
Ax 1995   60  0.2643  0.0050  0.0350  0.0363  0.0263  0.02
Bacha 1998   28  0.4841  0.0028  0.0926  0.2137  0.0623  0.11
Barbosa 1983   62  0.2161  0.0045  0.0733  0.0761  0.0338  0.05
BenOr 1989   23  0.4914  0.0022  0.1119  0.4247  0.0518  0.14
Biret 1990   18  0.5142  0.008  0.137  0.5244  0.066  0.18
Brailowsky 1960   58  0.3433  0.0062  0.0354  0.0360  0.0351  0.03
Chiu 1999   22  0.4931  0.0030  0.0727  0.1951  0.0526  0.10
Clidat 1994   54  0.3935  0.0043  0.0542  0.0560  0.0347  0.04
Cohen 1997   59  0.3437  0.0052  0.0260  0.0253  0.0456  0.03
Cortot 1951   12  0.5434  0.0024  0.1123  0.3150  0.0424  0.11
Csalog 1996   16  0.5330  0.0015  0.1110  0.5062  0.0322  0.12
Czerny 1989   55  0.3962  0.0036  0.0544  0.0559  0.0442  0.04
Ezaki 2006   56  0.3732  0.0048  0.0548  0.0564  0.0249  0.03
Falvay 1989   9  0.5526  0.0011  0.129  0.5161  0.0416  0.14
Fiorentino 1962   30  0.4613  0.0149  0.0449  0.0463  0.0357  0.03
Fliere 1977   19  0.5116  0.0025  0.0725  0.2556  0.0425  0.10
Fou 1978   35  0.4610  0.0141  0.0735  0.0759  0.0337  0.05
Francois 1956   14  0.543  0.116  0.185  0.5516  0.531  0.54
Goldenweiser 1946   34  0.4649  0.0039  0.0636  0.0663  0.0340  0.04
Gornostaeva 1994   61  0.2444  0.0064  0.0264  0.0264  0.0264  0.02
Groot 1988   1  0.621  0.281  0.281  0.7928  0.193  0.39
Hatto 1993   41  0.4345  0.0057  0.0358  0.0364  0.0265  0.02
Hatto 1997   42  0.4257  0.0061  0.0353  0.0362  0.0354  0.03
Horszowski 1983   26  0.4947  0.009  0.1411  0.4947  0.057  0.16
Indjic 2001   32  0.4651  0.0058  0.0351  0.0363  0.0262  0.02
Katin 1996   5  0.5754  0.0023  0.1122  0.3459  0.0421  0.12
Kiepura 1999   43  0.4229  0.0054  0.0359  0.0357  0.0450  0.03
Korecka 1992   39  0.4323  0.0060  0.0357  0.0359  0.0452  0.03
Kushner 1990   50  0.4059  0.0038  0.0640  0.0656  0.0344  0.04
Lilamand 2001   49  0.4160  0.0056  0.0262  0.0260  0.0258  0.02
Luisada 1990   57  0.3638  0.0059  0.0355  0.0364  0.0260  0.02
Luisada 2008   29  0.4722  0.007  0.206  0.5348  0.059  0.16
Lushtak 2004   21  0.4917  0.0016  0.1216  0.4453  0.0420  0.13
Malcuzynski 1951   51  0.3946  0.0047  0.0546  0.0559  0.0448  0.04
Malcuzynski 1961   33  0.4627  0.0031  0.0632  0.1261  0.0332  0.06
Magaloff 1977   38  0.4565  0.0033  0.0547  0.0555  0.0446  0.04
Magin 1975   37  0.4564  0.0034  0.0637  0.0663  0.0341  0.04
Meguri 1997   27  0.4825  0.0040  0.0541  0.0555  0.0445  0.04
Milkina 1970   2  0.5720  0.0012  0.0912  0.4751  0.0511  0.15
Mohovich 1999   11  0.5418  0.0017  0.1314  0.4744  0.0515  0.15
Nezu 2005   10  0.5521  0.0013  0.0815  0.4550  0.0514  0.15
Ohlsson 1999   44  0.4163  0.0042  0.0543  0.0562  0.0343  0.04
Olejniczak 1990   17  0.529  0.0126  0.0729  0.1540  0.0628  0.09
Osinska 1989   3  0.5712  0.0121  0.0921  0.3550  0.0519  0.13
Perlemuter 1992   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   36  0.4556  0.0044  0.0734  0.0762  0.0335  0.05
Rangell 2001   31  0.4624  0.0029  0.0731  0.1353  0.0530  0.08
Richter 1960   6  0.565  0.073  0.213  0.7026  0.252  0.42
Richter 1961   45  0.4119  0.0046  0.0638  0.0659  0.0436  0.05
Rosen 1989   20  0.5039  0.0037  0.0639  0.0645  0.0634  0.06
Rubinstein 1939   46  0.4111  0.0132  0.0830  0.1562  0.0331  0.07
Rubinstein 1952   15  0.534  0.104  0.304  0.6126  0.254  0.39
Rubinstein 1966   24  0.496  0.055  0.218  0.5155  0.058  0.16
Rudanovskaya 2007   4  0.578  0.0220  0.0824  0.3163  0.0327  0.10
Shebanova 2002   7  0.562  0.222  0.262  0.7131  0.145  0.32
Smith 1975   25  0.497  0.0314  0.1013  0.4755  0.0510  0.15
Sztompka 1959   40  0.4328  0.0051  0.0352  0.0359  0.0353  0.03
Tanyel 1992   47  0.4158  0.0035  0.0545  0.0543  0.0733  0.06
Tsujii 2005   8  0.5640  0.0018  0.0920  0.4150  0.0517  0.14
Uninsky 1959   13  0.5448  0.0019  0.1217  0.4449  0.0512  0.15
Vardi 1988   52  0.3955  0.0010  0.1218  0.4350  0.0513  0.15
Wasowski 1980   53  0.3950  0.0053  0.0356  0.0355  0.0539  0.04
Zimerman 1975   48  0.4115  0.0027  0.0728  0.1557  0.0429  0.08
Random 1   63  0.0052  0.0065  0.0265  0.0258  0.0361  0.02
Random 2   65  -0.0153  0.0063  0.0263  0.0257  0.0359  0.02
Random 3   64  -0.0136  0.0055  0.0261  0.0237  0.0455  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).