Perlemuter 1986

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   34  0.6828  0.0027  0.0818  0.316  0.6012  0.43
Ashkenazy 1981   12  0.7346  0.0017  0.1012  0.4415  0.3717  0.40
Beliavsky 2004   36  0.6861  0.0037  0.0648  0.066  0.5233  0.18
BenOr 1989   2  0.754  0.073  0.183  0.5917  0.399  0.48
Biret 1990   54  0.6227  0.0049  0.0742  0.0745  0.0660  0.06
Blet 2003   45  0.6516  0.0035  0.0738  0.0720  0.3041  0.14
Block 1995   52  0.6237  0.0046  0.0559  0.0535  0.1252  0.08
Brailowsky 1960   53  0.6215  0.0057  0.0461  0.0432  0.1849  0.08
Chiu 1999   50  0.6321  0.0038  0.0645  0.0635  0.0853  0.07
Clidat 1994   14  0.7238  0.0014  0.1415  0.3811  0.4118  0.39
Cohen 1997   61  0.4834  0.0059  0.0552  0.056  0.6534  0.18
Coop 1987   17  0.712  0.182  0.234  0.5623  0.3811  0.46
Cortot 1951   60  0.5252  0.0062  0.0649  0.0638  0.0761  0.06
Czerny 1949   13  0.7350  0.0022  0.0628  0.2030  0.1931  0.19
Czerny 1949b   27  0.6963  0.0041  0.0647  0.0642  0.0658  0.06
Ezaki 2006   19  0.7060  0.0026  0.0822  0.2632  0.1628  0.20
Falvay 1989   23  0.707  0.028  0.1610  0.4425  0.3319  0.38
Ferenczy 1958   58  0.5245  0.0055  0.0462  0.0432  0.2047  0.09
Fiorentino 1962   15  0.7151  0.0019  0.1017  0.3417  0.5015  0.41
Fliere 1977   3  0.756  0.035  0.216  0.5518  0.495  0.52
Fou 1978   28  0.6947  0.0031  0.0731  0.1529  0.2232  0.18
Francois 1956   8  0.7419  0.0023  0.0924  0.252  0.6716  0.41
Hatto 1997   40  0.6725  0.0029  0.1125  0.236  0.6220  0.38
Horowitz 1971   55  0.6157  0.0054  0.0557  0.0561  0.0464  0.04
Horowitz 1985   59  0.5259  0.0061  0.0556  0.0537  0.0756  0.06
Indjic 2001   38  0.6722  0.0028  0.0721  0.264  0.6414  0.41
Kapell 1951   33  0.699  0.0221  0.0826  0.2230  0.2426  0.23
Kiepura 1999   29  0.6954  0.0043  0.0835  0.0826  0.3835  0.17
Kilenyi 1937   20  0.7040  0.0025  0.0819  0.2931  0.2125  0.25
Kissin 1993   26  0.7053  0.009  0.1216  0.3634  0.1130  0.20
Kitain 1937   62  0.4836  0.0060  0.0558  0.0510  0.5238  0.16
Kushner 1990   9  0.738  0.027  0.208  0.5013  0.517  0.50
Levy 1951   57  0.5824  0.0058  0.0646  0.0651  0.0562  0.05
Luisada 1990   35  0.6839  0.0045  0.0737  0.0733  0.1248  0.09
Lushtak 2004   21  0.7033  0.0016  0.1013  0.4216  0.4313  0.42
Lympany 1968   31  0.6943  0.0036  0.0834  0.0812  0.4929  0.20
Magaloff 1977   44  0.6555  0.0047  0.0554  0.0531  0.1451  0.08
Magaloff 1977b   46  0.6531  0.0048  0.0740  0.0738  0.0855  0.07
Magin 1975   37  0.6756  0.0044  0.0836  0.0837  0.0950  0.08
Milkina 1970   4  0.745  0.064  0.182  0.743  0.741  0.74
Mohovich 1999   7  0.743  0.136  0.1714  0.426  0.674  0.53
Nadelmann 1956   25  0.7011  0.0115  0.1120  0.289  0.4121  0.34
Ohlsson 1999   51  0.6258  0.0040  0.0743  0.0742  0.0754  0.07
Olejniczac 1990   11  0.7326  0.0012  0.139  0.4714  0.538  0.50
Olejniczak 1991   10  0.7317  0.0010  0.155  0.5514  0.496  0.52
Osinska 1989   1  0.781  0.361  0.351  0.8119  0.492  0.63
Paderewski 1912   16  0.7142  0.0024  0.0927  0.216  0.4722  0.31
Perahia 1994   56  0.5912  0.0156  0.0460  0.0417  0.4743  0.14
Perlemuter 1986   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Poblocka 1999   22  0.7014  0.0039  0.0741  0.0746  0.0657  0.06
Rangell 2001   30  0.6929  0.0033  0.0739  0.0721  0.4337  0.17
Risler 1920   39  0.6741  0.0042  0.0644  0.0628  0.3540  0.14
Rosen 1989   47  0.6432  0.0051  0.0651  0.0630  0.3045  0.13
Rubinstein 1939   49  0.6318  0.0050  0.0553  0.059  0.4839  0.15
Rubinstein 1952   24  0.7020  0.0018  0.0923  0.2523  0.3524  0.30
Rubinstein 1966   41  0.6710  0.0120  0.0829  0.2011  0.4523  0.30
Rummel 1943   42  0.6630  0.0052  0.0650  0.0612  0.3442  0.14
Shebanova 2002   32  0.6948  0.0032  0.0732  0.1329  0.1444  0.13
Smith 1975   5  0.7449  0.0013  0.1211  0.449  0.4910  0.46
Szpilman 1948   6  0.7413  0.0111  0.137  0.539  0.613  0.57
Uninsky 1971   18  0.7023  0.0030  0.0930  0.1716  0.3127  0.23
Wasowski 1980   48  0.6335  0.0053  0.0555  0.0522  0.2546  0.11
Weissenberg 1971   43  0.6544  0.0034  0.1033  0.1028  0.2936  0.17
Random 1    64  -0.0565  0.0064  0.0264  0.0227  0.1859  0.06
Random 2   63  0.0064  0.0063  0.0363  0.0334  0.0663  0.04
Random 3   65  -0.0762  0.0065  0.0265  0.0253  0.0365  0.02

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).