Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   16  0.462  0.114  0.1715  0.582  0.687  0.63
Ashkenazy 1981   19  0.4531  0.0024  0.1026  0.3117  0.3924  0.35
Beliavsky 2004   7  0.5110  0.015  0.228  0.641  0.833  0.73
BenOr 1989   58  0.2350  0.0060  0.0361  0.0355  0.0662  0.04
Biret 1990   26  0.4126  0.0035  0.1134  0.1137  0.0734  0.09
Blet 2003   44  0.3156  0.0045  0.0647  0.0651  0.0550  0.05
Block 1995   23  0.4335  0.0025  0.1125  0.3543  0.0631  0.14
Brailowsky 1960   54  0.2546  0.0058  0.0456  0.0457  0.0555  0.04
Chiu 1999   27  0.4137  0.0026  0.1124  0.3520  0.3522  0.35
Clidat 1994   8  0.4943  0.0013  0.2213  0.603  0.5814  0.59
Cohen 1997   37  0.3629  0.0034  0.1133  0.1111  0.5526  0.25
Coop 1987   30  0.4149  0.0033  0.1038  0.1050  0.0541  0.07
Cortot 1951   6  0.533  0.093  0.157  0.652  0.814  0.73
Czerny 1949   9  0.495  0.048  0.189  0.6313  0.5513  0.59
Czerny 1949b   5  0.534  0.047  0.213  0.723  0.762  0.74
Ezaki 2006   51  0.2811  0.0149  0.0451  0.0459  0.0553  0.04
Falvay 1989   46  0.3151  0.0046  0.0646  0.0653  0.0549  0.05
Ferenczy 1958   61  0.2161  0.0061  0.0360  0.0354  0.0660  0.04
Fiorentino 1962   52  0.2665  0.0053  0.0453  0.0453  0.0652  0.05
Fliere 1977   42  0.3344  0.0043  0.1036  0.1046  0.0538  0.07
Fou 1978   49  0.298  0.0250  0.0450  0.0458  0.0459  0.04
Francois 1956   41  0.3412  0.0144  0.0942  0.0946  0.0544  0.07
Hatto 1997   10  0.4930  0.0011  0.1510  0.6210  0.629  0.62
Horowitz 1971   29  0.4162  0.0023  0.1222  0.4231  0.1725  0.27
Horowitz 1985   38  0.3652  0.0028  0.0829  0.1828  0.2227  0.20
Indjic 2001   11  0.4915  0.0112  0.2311  0.6110  0.6112  0.61
Kapell 1951   59  0.2345  0.0059  0.0359  0.0356  0.0463  0.03
Kiepura 1999   12  0.4927  0.0010  0.226  0.6710  0.5610  0.61
Kilenyi 1937   50  0.2858  0.0051  0.0458  0.0439  0.0846  0.06
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kitain 1937   32  0.4018  0.0116  0.1017  0.521  0.768  0.63
Kushner 1990   45  0.3141  0.0047  0.0844  0.0855  0.0445  0.06
Levy 1951   56  0.2463  0.0054  0.0548  0.0545  0.0648  0.05
Luisada 1990   36  0.3634  0.0040  0.0843  0.0845  0.0642  0.07
Lushtak 2004   1  0.601  0.481  0.471  0.811  0.831  0.82
Lympany 1968   20  0.4521  0.0022  0.1320  0.4415  0.5018  0.47
Magaloff 1977   35  0.3713  0.0138  0.1135  0.1121  0.3129  0.18
Magaloff 1977b   24  0.4232  0.0027  0.1227  0.303  0.5420  0.40
Magin 1975   34  0.3822  0.0037  0.0940  0.0952  0.0540  0.07
Milkina 1970   4  0.5414  0.019  0.225  0.6716  0.5115  0.58
Mohovich 1999   48  0.3042  0.0042  0.0941  0.0937  0.0643  0.07
Nadelmann 1956   15  0.4647  0.0018  0.1419  0.4738  0.0728  0.18
Ohlsson 1999   21  0.4440  0.0019  0.1318  0.4819  0.3021  0.38
Olejniczac 1990   55  0.2564  0.0055  0.0549  0.0547  0.0747  0.06
Olejniczak 1991   60  0.2224  0.0057  0.0454  0.0457  0.0557  0.04
Osinska 1989   31  0.4148  0.0036  0.1039  0.1054  0.0539  0.07
Paderewski 1912   17  0.4525  0.0015  0.2914  0.592  0.5516  0.57
Perahia 1994   3  0.5423  0.006  0.264  0.705  0.646  0.67
Perlemuter 1986   33  0.4055  0.0032  0.0731  0.1452  0.0535  0.08
Poblocka 1999   47  0.3057  0.0048  0.0452  0.0454  0.0456  0.04
Rangell 2001   18  0.459  0.0220  0.1721  0.449  0.6317  0.53
Risler 1920   43  0.3238  0.0039  0.0845  0.0831  0.1132  0.09
Rosen 1989   62  0.1339  0.0062  0.0455  0.0457  0.0651  0.05
Rubinstein 1939   2  0.567  0.032  0.312  0.734  0.725  0.72
Rubinstein 1952   25  0.4217  0.0131  0.0632  0.1439  0.0536  0.08
Rubinstein 1966   28  0.4116  0.0130  0.0828  0.1851  0.0533  0.09
Rummel 1943   40  0.3436  0.0029  0.0930  0.1732  0.1330  0.15
Shebanova 2002   13  0.476  0.0321  0.1423  0.4226  0.3023  0.35
Smith 1975   22  0.4433  0.0017  0.1216  0.5313  0.3019  0.40
Szpilman 1948   53  0.2619  0.0156  0.0362  0.0356  0.0554  0.04
Uninsky 1971   14  0.4628  0.0014  0.1712  0.604  0.6211  0.61
Wasowski 1980   39  0.3520  0.0141  0.1037  0.1049  0.0537  0.07
Weissenberg 1971   57  0.2460  0.0052  0.0457  0.0450  0.0558  0.04
Random 1    65  -0.0454  0.0065  0.0265  0.0252  0.0365  0.02
Random 2   64  0.0053  0.0063  0.0263  0.0234  0.0761  0.04
Random 3   63  0.0259  0.0064  0.0264  0.0239  0.0664  0.03
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).