Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   42  0.828  0.0141  0.0647  0.064  0.6142  0.19
Ashkenazy 1981   30  0.866  0.0243  0.0839  0.085  0.5238  0.20
Beliavsky 2004   53  0.7920  0.0051  0.0552  0.0513  0.3951  0.14
BenOr 1989   18  0.9050  0.0022  0.0817  0.3310  0.5817  0.44
Biret 1990   51  0.8012  0.0150  0.0741  0.076  0.5739  0.20
Blet 2003   22  0.9032  0.0028  0.0824  0.233  0.6124  0.37
Block 1995   36  0.8446  0.0048  0.0459  0.0416  0.4054  0.13
Brailowsky 1960   56  0.7554  0.0056  0.0556  0.0528  0.1957  0.10
Chiu 1999   6  0.935  0.048  0.139  0.441  0.707  0.55
Clidat 1994   28  0.8729  0.0031  0.0929  0.186  0.5029  0.30
Cohen 1997   61  0.6260  0.0060  0.0463  0.0420  0.2460  0.10
Coop 1987   2  0.954  0.042  0.263  0.614  0.694  0.65
Cortot 1951   46  0.8140  0.0054  0.0551  0.056  0.5448  0.16
Czerny 1949   50  0.8019  0.004  0.1511  0.409  0.4916  0.44
Czerny 1949b   34  0.8430  0.009  0.1116  0.349  0.5418  0.43
Ezaki 2006   3  0.953  0.083  0.242  0.653  0.702  0.67
Falvay 1989   9  0.9261  0.0027  0.0821  0.298  0.5222  0.39
Ferenczy 1958   31  0.8562  0.0029  0.0828  0.194  0.6626  0.35
Fiorentino 1962   21  0.9058  0.0021  0.0922  0.296  0.6320  0.43
Fliere 1977   13  0.9110  0.017  0.178  0.443  0.5711  0.50
Fou 1978   11  0.9214  0.0123  0.0814  0.367  0.6112  0.47
Francois 1956   55  0.7642  0.0053  0.0648  0.0620  0.2955  0.13
Hatto 1997   45  0.8151  0.0038  0.0743  0.076  0.5241  0.19
Horowitz 1971   39  0.8338  0.0046  0.0645  0.069  0.4847  0.17
Horowitz 1985   60  0.6336  0.0061  0.0461  0.0425  0.2262  0.09
Indjic 2001   44  0.8159  0.0039  0.0742  0.076  0.5243  0.19
Kapell 1951   4  0.9421  0.006  0.235  0.605  0.703  0.65
Kiepura 1999   41  0.8337  0.0047  0.0458  0.0416  0.4452  0.13
Kilenyi 1937   5  0.9325  0.005  0.194  0.602  0.665  0.63
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kitain 1937   63  0.4053  0.0063  0.0550  0.0530  0.1763  0.09
Kushner 1990   27  0.872  0.0910  0.1026  0.233  0.6323  0.38
Levy 1951   54  0.7663  0.0057  0.0364  0.0319  0.3756  0.11
Luisada 1990   25  0.8931  0.0025  0.0925  0.235  0.5525  0.36
Lushtak 2004   10  0.9243  0.0020  0.0710  0.414  0.6610  0.52
Lympany 1968   33  0.8544  0.0042  0.0838  0.0816  0.4144  0.18
Magaloff 1977   19  0.9045  0.0035  0.1036  0.103  0.5737  0.24
Magaloff 1977b   20  0.9024  0.0036  0.1530  0.153  0.5332  0.28
Magin 1975   17  0.9028  0.0034  0.1433  0.148  0.5930  0.29
Milkina 1970   40  0.8323  0.0049  0.0555  0.0518  0.3553  0.13
Mohovich 1999   38  0.8364  0.0016  0.0713  0.405  0.5415  0.46
Nadelmann 1956   49  0.8033  0.0017  0.0834  0.134  0.4734  0.25
Ohlsson 1999   24  0.8913  0.0137  0.1235  0.122  0.6531  0.28
Olejniczac 1990   23  0.9057  0.0014  0.0820  0.306  0.6319  0.43
Olejniczak 1991   14  0.9126  0.0018  0.0615  0.368  0.5913  0.46
Osinska 1989   16  0.9011  0.0111  0.136  0.523  0.666  0.59
Paderewski 1912   48  0.8118  0.0030  0.0732  0.148  0.4335  0.25
Perahia 1994   62  0.5547  0.0062  0.0553  0.0534  0.0764  0.06
Perlemuter 1986   47  0.8134  0.0015  0.0723  0.2714  0.4028  0.33
Poblocka 1999   8  0.9239  0.0012  0.107  0.4510  0.658  0.54
Rangell 2001   15  0.9148  0.0033  0.1037  0.105  0.6236  0.25
Risler 1920   37  0.8422  0.0045  0.0744  0.0715  0.5140  0.19
Rosen 1989   26  0.8835  0.0040  0.0646  0.067  0.4746  0.17
Rubinstein 1939   58  0.679  0.0155  0.0554  0.0514  0.3850  0.14
Rubinstein 1952   32  0.8515  0.0132  0.0731  0.145  0.5733  0.28
Rubinstein 1966   52  0.7917  0.0152  0.0649  0.069  0.5245  0.18
Rummel 1943   59  0.6527  0.0059  0.0557  0.0525  0.1959  0.10
Shebanova 2002   7  0.9316  0.0113  0.0912  0.403  0.689  0.52
Smith 1975   29  0.867  0.0219  0.0719  0.305  0.6021  0.42
Szpilman 1948   35  0.8455  0.0024  0.0827  0.227  0.5027  0.33
Uninsky 1971   43  0.8241  0.0044  0.0840  0.0817  0.2949  0.15
Wasowski 1980   57  0.7549  0.0058  0.0460  0.0424  0.2061  0.09
Weissenberg 1971   12  0.9252  0.0026  0.1318  0.329  0.6614  0.46
Average   1  0.961  0.561  0.551  0.802  0.771  0.78
Random 1    65  -0.0865  0.0065  0.0265  0.0240  0.0466  0.03
Random 2   64  0.1166  0.0064  0.0462  0.0415  0.2358  0.10
Random 3   66  -0.1456  0.0066  0.0166  0.0117  0.2065  0.04
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).