Cohen 1997

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   23  0.2846  0.0020  0.1018  0.3937  0.0619  0.15
Ashkenazy 1981   11  0.3514  0.0110  0.1910  0.6024  0.239  0.37
Beliavsky 2004   30  0.2441  0.0022  0.0919  0.3545  0.0715  0.16
BenOr 1989   40  0.2049  0.0047  0.0644  0.0661  0.0451  0.05
Biret 1990   28  0.2543  0.0031  0.0631  0.1542  0.0630  0.09
Blet 2003   19  0.2911  0.0227  0.0727  0.1850  0.0529  0.09
Block 1995   17  0.3126  0.0017  0.1617  0.4639  0.0714  0.18
Brailowsky 1960   48  0.1839  0.0052  0.0452  0.0461  0.0453  0.04
Chiu 1999   24  0.2816  0.0134  0.0935  0.0961  0.0343  0.05
Clidat 1994   44  0.1952  0.0046  0.0641  0.0662  0.0449  0.05
Cohen 1997   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Coop 1987   14  0.3337  0.0012  0.1712  0.5446  0.0516  0.16
Cortot 1951   32  0.2344  0.0028  0.0630  0.1724  0.3612  0.25
Czerny 1949   60  0.1263  0.0055  0.0355  0.0362  0.0361  0.03
Czerny 1949b   61  0.1153  0.0058  0.0260  0.0261  0.0458  0.03
Ezaki 2006   57  0.1365  0.0062  0.0263  0.0261  0.0364  0.02
Falvay 1989   31  0.2428  0.0039  0.0738  0.0752  0.0537  0.06
Ferenczy 1958   55  0.1454  0.0057  0.0261  0.0258  0.0560  0.03
Fiorentino 1962   56  0.1360  0.0060  0.0359  0.0360  0.0463  0.03
Fliere 1977   43  0.2047  0.0050  0.0549  0.0561  0.0452  0.04
Fou 1978   41  0.2035  0.0044  0.0642  0.0656  0.0547  0.05
Francois 1956   8  0.3610  0.039  0.258  0.638  0.504  0.56
Hatto 1997   3  0.4013  0.022  0.183  0.6818  0.463  0.56
Horowitz 1971   50  0.1748  0.0040  0.0740  0.0747  0.0539  0.06
Horowitz 1985   63  0.0458  0.0056  0.0357  0.0362  0.0356  0.03
Indjic 2001   2  0.411  0.201  0.191  0.7016  0.521  0.60
Kapell 1951   27  0.2618  0.0135  0.1133  0.1154  0.0434  0.07
Kiepura 1999   49  0.1829  0.0043  0.0645  0.0654  0.0540  0.05
Kilenyi 1937   46  0.1838  0.0051  0.0454  0.0455  0.0554  0.04
Kissin 1993   10  0.3634  0.0011  0.2111  0.5533  0.1111  0.25
Kitain 1937   47  0.1857  0.0037  0.0737  0.0753  0.0450  0.05
Kushner 1990   1  0.435  0.085  0.224  0.6834  0.1110  0.27
Levy 1951   58  0.1330  0.0061  0.0358  0.0362  0.0357  0.03
Luisada 1990   51  0.1740  0.0053  0.0453  0.0462  0.0362  0.03
Lushtak 2004   29  0.2531  0.0033  0.0836  0.0853  0.0538  0.06
Lympany 1968   35  0.2342  0.0038  0.0934  0.0958  0.0436  0.06
Magaloff 1977   18  0.2955  0.0030  0.0628  0.1848  0.0431  0.08
Magaloff 1977b   20  0.2945  0.0032  0.0732  0.1452  0.0435  0.07
Magin 1975   37  0.229  0.0341  0.0643  0.0655  0.0446  0.05
Milkina 1970   6  0.396  0.057  0.275  0.6730  0.218  0.38
Mohovich 1999   45  0.187  0.0413  0.1124  0.2846  0.0624  0.13
Nadelmann 1956   21  0.2859  0.0018  0.1316  0.4648  0.0518  0.15
Ohlsson 1999   4  0.408  0.048  0.266  0.6522  0.267  0.41
Olejniczac 1990   53  0.1661  0.0054  0.0551  0.0555  0.0648  0.05
Olejniczak 1991   52  0.1664  0.0049  0.0648  0.0660  0.0445  0.05
Osinska 1989   16  0.3212  0.0219  0.1321  0.3260  0.0427  0.11
Paderewski 1912   33  0.2322  0.0023  0.1022  0.3142  0.0622  0.14
Perahia 1994   39  0.2036  0.0021  0.0826  0.2147  0.0628  0.11
Perlemuter 1986   7  0.383  0.133  0.152  0.6923  0.266  0.42
Poblocka 1999   42  0.2015  0.0145  0.0647  0.0651  0.0541  0.05
Rangell 2001   5  0.404  0.096  0.237  0.6415  0.512  0.57
Risler 1920   26  0.2620  0.0036  0.0739  0.0755  0.0442  0.05
Rosen 1989   59  0.1221  0.0063  0.0356  0.0358  0.0555  0.04
Rubinstein 1939   9  0.362  0.154  0.199  0.6022  0.305  0.42
Rubinstein 1952   12  0.3324  0.0014  0.1115  0.4956  0.0325  0.12
Rubinstein 1966   13  0.3350  0.0015  0.1314  0.5052  0.0517  0.16
Rummel 1943   36  0.2256  0.0029  0.0729  0.1754  0.0432  0.08
Shebanova 2002   15  0.3319  0.0116  0.1213  0.5055  0.0421  0.14
Smith 1975   38  0.2127  0.0042  0.0646  0.0643  0.0544  0.05
Szpilman 1948   34  0.2325  0.0024  0.0925  0.2544  0.0723  0.13
Uninsky 1971   25  0.2732  0.0025  0.1020  0.3241  0.0620  0.14
Wasowski 1980   22  0.2817  0.0126  0.1123  0.3053  0.0426  0.11
Weissenberg 1971   54  0.1462  0.0059  0.0262  0.0251  0.0559  0.03
Random 1    64  0.0033  0.0064  0.0264  0.0224  0.2333  0.07
Random 2   62  0.0823  0.0048  0.0550  0.052  0.6313  0.18
Random 3   65  -0.0451  0.0065  0.0265  0.0256  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).