Perahia 1994

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   40  0.3834  0.0030  0.0830  0.1613  0.4727  0.27
Ashkenazy 1981   44  0.3723  0.0042  0.0744  0.0722  0.2536  0.13
Beliavsky 2004   30  0.4213  0.0120  0.0919  0.374  0.6814  0.50
BenOr 1989   19  0.4617  0.0018  0.0917  0.4129  0.3223  0.36
Biret 1990   23  0.4425  0.0029  0.0929  0.1824  0.2230  0.20
Blet 2003   53  0.3063  0.0055  0.0553  0.0560  0.0461  0.04
Block 1995   21  0.4444  0.0036  0.0840  0.0831  0.1342  0.10
Brailowsky 1960   38  0.3954  0.0034  0.0743  0.0743  0.0845  0.07
Chiu 1999   31  0.4118  0.0027  0.0924  0.276  0.5321  0.38
Clidat 1994   2  0.593  0.153  0.322  0.741  0.812  0.77
Cohen 1997   62  0.2033  0.0046  0.0647  0.0626  0.2140  0.11
Coop 1987   6  0.5328  0.009  0.219  0.5916  0.4913  0.54
Cortot 1951   46  0.356  0.0340  0.0839  0.0815  0.5131  0.20
Czerny 1949   29  0.4214  0.0139  0.0836  0.0834  0.1143  0.09
Czerny 1949b   28  0.4326  0.0038  0.0935  0.0919  0.3733  0.18
Ezaki 2006   32  0.4112  0.0131  0.0632  0.1234  0.1337  0.12
Falvay 1989   41  0.3752  0.0044  0.0742  0.0756  0.0455  0.05
Ferenczy 1958   33  0.4138  0.0037  0.1133  0.1136  0.1041  0.10
Fiorentino 1962   55  0.3053  0.0056  0.0457  0.0456  0.0563  0.04
Fliere 1977   47  0.3546  0.0045  0.0646  0.0640  0.0648  0.06
Fou 1978   48  0.3430  0.0048  0.0458  0.0450  0.0656  0.05
Francois 1956   56  0.2948  0.0060  0.0555  0.0549  0.0558  0.05
Hatto 1997   15  0.4839  0.0013  0.1214  0.508  0.6410  0.57
Horowitz 1971   4  0.558  0.025  0.314  0.683  0.724  0.70
Horowitz 1985   24  0.4331  0.0026  0.0827  0.2413  0.4824  0.34
Indjic 2001   16  0.4827  0.0014  0.1313  0.519  0.6211  0.56
Kapell 1951   51  0.3364  0.0054  0.0554  0.0538  0.0751  0.06
Kiepura 1999   26  0.4320  0.0033  0.0837  0.0830  0.1638  0.11
Kilenyi 1937   49  0.3435  0.0047  0.0548  0.0534  0.0946  0.07
Kissin 1993   5  0.5411  0.016  0.165  0.644  0.705  0.67
Kitain 1937   36  0.3943  0.0023  0.0923  0.302  0.7518  0.47
Kushner 1990   42  0.3736  0.0041  0.0645  0.0638  0.0752  0.06
Levy 1951   27  0.4321  0.0021  0.1021  0.3414  0.4620  0.40
Luisada 1990   61  0.2455  0.0062  0.0456  0.0454  0.0562  0.04
Lushtak 2004   1  0.611  0.321  0.311  0.772  0.801  0.78
Lympany 1968   13  0.4824  0.0017  0.0916  0.417  0.5915  0.49
Magaloff 1977   43  0.3749  0.0052  0.0741  0.0726  0.2835  0.14
Magaloff 1977b   45  0.3557  0.0051  0.0551  0.0521  0.2439  0.11
Magin 1975   54  0.3047  0.0058  0.0362  0.0359  0.0364  0.03
Milkina 1970   3  0.572  0.292  0.373  0.747  0.673  0.70
Mohovich 1999   12  0.497  0.0211  0.1311  0.556  0.649  0.59
Nadelmann 1956   11  0.5041  0.0012  0.1710  0.5611  0.4017  0.47
Ohlsson 1999   37  0.3922  0.0024  0.0925  0.2617  0.3225  0.29
Olejniczac 1990   57  0.2862  0.0059  0.0459  0.0440  0.0953  0.06
Olejniczak 1991   52  0.3058  0.0053  0.0552  0.0548  0.0850  0.06
Osinska 1989   34  0.4061  0.0043  0.0838  0.0850  0.0549  0.06
Paderewski 1912   39  0.3832  0.0035  0.0934  0.0918  0.3234  0.17
Perahia 1994   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Perlemuter 1986   35  0.4016  0.0028  0.0828  0.2025  0.2329  0.21
Poblocka 1999   17  0.4629  0.0022  0.1022  0.3017  0.4422  0.36
Rangell 2001   18  0.4619  0.0019  0.0820  0.367  0.6416  0.48
Risler 1920   60  0.2565  0.0061  0.0550  0.0562  0.0360  0.04
Rosen 1989   59  0.2837  0.0057  0.0461  0.0442  0.0954  0.06
Rubinstein 1939   10  0.5115  0.0010  0.1612  0.5410  0.5612  0.55
Rubinstein 1952   25  0.4356  0.0025  0.0826  0.2630  0.2428  0.25
Rubinstein 1966   22  0.4450  0.0016  0.1118  0.3931  0.2226  0.29
Rummel 1943   50  0.3459  0.0050  0.0549  0.0538  0.0657  0.05
Shebanova 2002   7  0.535  0.037  0.216  0.645  0.667  0.65
Smith 1975   9  0.514  0.034  0.278  0.631  0.648  0.63
Szpilman 1948   58  0.2840  0.0049  0.0460  0.0458  0.0559  0.04
Uninsky 1971   8  0.529  0.018  0.177  0.631  0.716  0.67
Wasowski 1980   20  0.4510  0.0132  0.0731  0.1324  0.2632  0.18
Weissenberg 1971   14  0.4845  0.0015  0.2015  0.425  0.4919  0.45
Random 1    65  -0.0560  0.0065  0.0265  0.0258  0.0365  0.02
Random 2   64  0.0142  0.0064  0.0264  0.0225  0.2547  0.07
Random 3   63  0.0451  0.0063  0.0263  0.0210  0.3444  0.08

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).