Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   17  0.463  0.085  0.1716  0.573  0.677  0.62
Ashkenazy 1981   20  0.4533  0.0025  0.1027  0.3018  0.3524  0.32
Beliavsky 2004   8  0.518  0.016  0.219  0.641  0.833  0.73
BenOr 1989   59  0.2355  0.0061  0.0362  0.0356  0.0563  0.04
Biret 1990   27  0.4120  0.0036  0.1134  0.1137  0.0734  0.09
Blet 2003   45  0.3161  0.0046  0.0648  0.0652  0.0551  0.05
Block 1995   24  0.4327  0.0026  0.1025  0.3543  0.0631  0.14
Brailowsky 1960   55  0.2545  0.0059  0.0457  0.0458  0.0555  0.04
Chiu 1999   28  0.4130  0.0027  0.1126  0.3421  0.3422  0.34
Clidat 1994   9  0.4941  0.0014  0.2114  0.604  0.5714  0.58
Cohen 1997   38  0.3622  0.0035  0.1133  0.1112  0.5427  0.24
Coop 1987   31  0.4153  0.0034  0.1038  0.1051  0.0541  0.07
Cortot 1951   7  0.534  0.084  0.148  0.652  0.814  0.73
Czerny 1949   10  0.497  0.029  0.1810  0.6314  0.5413  0.58
Czerny 1949b   6  0.535  0.038  0.214  0.724  0.752  0.73
Ezaki 2006   52  0.2819  0.0050  0.0452  0.0460  0.0553  0.04
Falvay 1989   47  0.3148  0.0047  0.0647  0.0654  0.0549  0.05
Ferenczy 1958   62  0.2162  0.0062  0.0361  0.0355  0.0660  0.04
Fiorentino 1962   53  0.2666  0.0054  0.0454  0.0454  0.0652  0.05
Fliere 1977   43  0.3343  0.0044  0.1036  0.1047  0.0538  0.07
Fou 1978   50  0.2916  0.0051  0.0451  0.0459  0.0459  0.04
Francois 1956   42  0.3411  0.0145  0.0842  0.0847  0.0547  0.06
Hatto 1997   11  0.4936  0.0012  0.1511  0.6211  0.6110  0.61
Horowitz 1971   30  0.4163  0.0024  0.1223  0.4232  0.1626  0.26
Horowitz 1985   39  0.3650  0.0029  0.0829  0.1727  0.2228  0.19
Indjic 2001   12  0.4910  0.0113  0.2312  0.6110  0.6111  0.61
Kapell 1951   60  0.2346  0.0060  0.0360  0.0357  0.0464  0.03
Kiepura 1999   13  0.4921  0.0011  0.227  0.6711  0.559  0.61
Kilenyi 1937   51  0.2860  0.0052  0.0459  0.0439  0.0845  0.06
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kitain 1937   33  0.4012  0.0117  0.1018  0.512  0.768  0.62
Kushner 1990   46  0.3138  0.0048  0.0744  0.0756  0.0450  0.05
Levy 1951   57  0.2464  0.0055  0.0549  0.0546  0.0648  0.05
Luisada 1990   37  0.3631  0.0041  0.0843  0.0845  0.0642  0.07
Lushtak 2004   2  0.602  0.342  0.472  0.812  0.831  0.82
Lympany 1968   21  0.4515  0.0023  0.1321  0.4417  0.4818  0.46
Magaloff 1977   36  0.3714  0.0039  0.1035  0.1021  0.3130  0.18
Magaloff 1977b   25  0.4226  0.0028  0.1228  0.284  0.5420  0.39
Magin 1975   35  0.3824  0.0038  0.0940  0.0953  0.0540  0.07
Milkina 1970   5  0.5413  0.0110  0.226  0.6717  0.4616  0.56
Mohovich 1999   49  0.3039  0.0043  0.0941  0.0938  0.0643  0.07
Nadelmann 1956   16  0.4651  0.0019  0.1420  0.4738  0.0729  0.18
Ohlsson 1999   22  0.4437  0.0020  0.1319  0.4820  0.2921  0.37
Olejniczac 1990   56  0.2565  0.0056  0.0550  0.0548  0.0746  0.06
Olejniczak 1991   61  0.2232  0.0058  0.0455  0.0458  0.0557  0.04
Osinska 1989   32  0.4152  0.0037  0.1039  0.1055  0.0539  0.07
Paderewski 1912   18  0.4518  0.0016  0.2915  0.593  0.5515  0.57
Perahia 1994   4  0.5444  0.007  0.265  0.707  0.636  0.66
Perlemuter 1986   34  0.4056  0.0033  0.0746  0.0753  0.0544  0.06
Poblocka 1999   48  0.3057  0.0049  0.0453  0.0455  0.0456  0.04
Rangell 2001   19  0.459  0.0121  0.1722  0.4410  0.6217  0.52
Risler 1920   44  0.3234  0.0040  0.0745  0.0732  0.1035  0.08
Rosen 1989   63  0.1335  0.0063  0.0456  0.0458  0.0562  0.04
Rubinstein 1939   3  0.566  0.023  0.303  0.735  0.715  0.72
Rubinstein 1952   26  0.4229  0.0032  0.0632  0.1240  0.0536  0.08
Rubinstein 1966   29  0.4140  0.0031  0.0830  0.1752  0.0533  0.09
Rummel 1943   41  0.3428  0.0030  0.0931  0.1632  0.1332  0.14
Shebanova 2002   14  0.4717  0.0022  0.1424  0.4026  0.2923  0.34
Smith 1975   23  0.4425  0.0018  0.1217  0.5316  0.2819  0.39
Szpilman 1948   54  0.2642  0.0057  0.0363  0.0357  0.0554  0.04
Uninsky 1971   15  0.4623  0.0015  0.1713  0.605  0.6112  0.60
Wasowski 1980   40  0.3547  0.0042  0.1037  0.1050  0.0537  0.07
Weissenberg 1971   58  0.2459  0.0053  0.0458  0.0451  0.0558  0.04
Average   1  0.631  0.341  0.331  0.8439  0.0825  0.26
Random 1    66  -0.0454  0.0066  0.0166  0.0153  0.0366  0.02
Random 2   65  0.0049  0.0064  0.0264  0.0234  0.0761  0.04
Random 3   64  0.0258  0.0065  0.0265  0.0239  0.0665  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).