Zimerman 1975

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   51  0.3814  0.016  0.1612  0.5310  0.588  0.55
Ax 1995   29  0.487  0.027  0.1615  0.509  0.599  0.54
Bacha 1998   55  0.3553  0.0044  0.0645  0.0641  0.0549  0.05
Barbosa 1983   41  0.4324  0.0015  0.1020  0.4422  0.3715  0.40
BenOr 1989   28  0.4850  0.0029  0.1029  0.2437  0.0833  0.14
Biret 1990   15  0.5227  0.0018  0.1017  0.4625  0.2916  0.37
Brailowsky 1960   60  0.2939  0.0058  0.0547  0.0550  0.0548  0.05
Chiu 1999   48  0.4047  0.0056  0.0458  0.0453  0.0557  0.04
Clidat 1994   53  0.3740  0.0049  0.0454  0.0455  0.0558  0.04
Cohen 1997   57  0.3421  0.0150  0.0550  0.0527  0.3035  0.12
Cortot 1951   18  0.5044  0.0032  0.0732  0.1324  0.1927  0.16
Csalog 1996   27  0.4819  0.0133  0.0739  0.0757  0.0452  0.05
Czerny 1989   21  0.509  0.0123  0.0925  0.3332  0.1724  0.24
Ezaki 2006   24  0.4916  0.0120  0.1121  0.4031  0.2022  0.28
Falvay 1989   1  0.612  0.182  0.292  0.7512  0.456  0.58
Fiorentino 1962   11  0.5718  0.0111  0.219  0.6019  0.4210  0.50
Fliere 1977   25  0.4912  0.0122  0.1219  0.4521  0.2718  0.35
Fou 1978   17  0.5128  0.0014  0.1014  0.5225  0.2319  0.35
Francois 1956   62  0.2848  0.0065  0.0265  0.0262  0.0266  0.02
Goldenweiser 1946   46  0.4158  0.0047  0.0548  0.0550  0.0547  0.05
Gornostaeva 1994   47  0.4035  0.0042  0.0738  0.0725  0.2932  0.14
Groot 1988   26  0.4834  0.0037  0.0934  0.0942  0.0640  0.07
Hatto 1993   4  0.594  0.094  0.224  0.689  0.545  0.61
Hatto 1997   8  0.5715  0.0112  0.1411  0.5720  0.3713  0.46
Horszowski 1983   19  0.506  0.0424  0.0924  0.3325  0.3817  0.35
Indjic 2001   6  0.5832  0.008  0.175  0.649  0.517  0.57
Katin 1996   22  0.5041  0.0028  0.1026  0.3039  0.0828  0.15
Kiepura 1999   31  0.4746  0.0027  0.0827  0.2623  0.3221  0.29
Korecka 1992   3  0.5911  0.0110  0.186  0.632  0.753  0.69
Kushner 1990   63  0.2863  0.0060  0.0361  0.0363  0.0264  0.02
Lilamand 2001   12  0.5413  0.0116  0.1213  0.5322  0.4612  0.49
Luisada 1990   23  0.4959  0.0021  0.1018  0.4653  0.0529  0.15
Luisada 2008   33  0.4729  0.0030  0.1030  0.2132  0.1031  0.14
Lushtak 2004   10  0.5720  0.0113  0.158  0.6120  0.3314  0.45
Malcuzynski 1951   58  0.3462  0.0059  0.0360  0.0357  0.0462  0.03
Malcuzynski 1961   35  0.4642  0.0040  0.0936  0.0956  0.0441  0.06
Magaloff 1977   52  0.3845  0.0055  0.0459  0.0461  0.0361  0.03
Magin 1975   5  0.5817  0.019  0.2110  0.5917  0.4111  0.49
Meguri 1997   20  0.5033  0.0026  0.0928  0.2525  0.3023  0.27
Milkina 1970   44  0.4154  0.0051  0.0455  0.0459  0.0360  0.03
Mohovich 1999   30  0.4760  0.0034  0.0741  0.0747  0.0544  0.06
Nezu 2005   16  0.5210  0.0131  0.0831  0.1731  0.1330  0.15
Ohlsson 1999   50  0.3825  0.0053  0.0552  0.0554  0.0551  0.05
Olejniczak 1990   32  0.4765  0.0038  0.1033  0.1027  0.1834  0.13
Osinska 1989   13  0.5323  0.0025  0.1323  0.3526  0.2820  0.31
Perlemuter 1992   45  0.4137  0.0048  0.0457  0.0428  0.1537  0.08
Poblocka 1999   42  0.4255  0.0052  0.0551  0.0557  0.0456  0.04
Rangell 2001   43  0.4252  0.0041  0.0642  0.0641  0.0645  0.06
Richter 1960   38  0.4422  0.0139  0.0935  0.0942  0.0639  0.07
Richter 1961   2  0.611  0.311  0.301  0.751  0.712  0.73
Rosen 1989   39  0.4326  0.0043  0.0740  0.0733  0.0938  0.08
Rubinstein 1939   40  0.435  0.0419  0.1122  0.3629  0.1525  0.23
Rubinstein 1952   54  0.3764  0.0054  0.0456  0.0452  0.0559  0.04
Rubinstein 1966   37  0.4556  0.0036  0.0737  0.0752  0.0543  0.06
Rudanovskaya 2007   36  0.4551  0.0045  0.0646  0.0651  0.0454  0.05
Shebanova 2002   34  0.4731  0.0035  0.0644  0.0651  0.0553  0.05
Smith 1975   61  0.2949  0.0064  0.0264  0.0263  0.0263  0.02
Sztompka 1959   56  0.3430  0.0057  0.0549  0.0537  0.0742  0.06
Tanyel 1992   7  0.583  0.143  0.283  0.691  0.821  0.75
Tsujii 2005   14  0.5343  0.0017  0.1416  0.4947  0.0626  0.17
Uninsky 1959   49  0.3936  0.0046  0.0643  0.0647  0.0550  0.05
Vardi 1988   9  0.578  0.025  0.167  0.638  0.634  0.63
Wasowski 1980   59  0.3038  0.0061  0.0453  0.0442  0.0746  0.05
Zimerman 1975   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Random 1   64  0.0761  0.0062  0.0362  0.0310  0.3036  0.09
Random 2   66  0.0066  0.0066  0.0166  0.0154  0.0365  0.02
Random 3   65  0.0057  0.0063  0.0263  0.0224  0.1555  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).