Kissin 1993

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   1  0.882  0.162  0.323  0.712  0.612  0.66
Anderszewski 2003   39  0.6829  0.0042  0.0543  0.1038  0.2144  0.14
Ashkenazy 1981   47  0.6662  0.0027  0.0632  0.2123  0.2933  0.25
Bacha 2000   86  0.4369  0.0086  0.0377  0.0359  0.0486  0.03
Badura 1965   33  0.7055  0.0031  0.0631  0.2215  0.5326  0.34
Barbosa 1983   87  0.3941  0.0087  0.0459  0.0468  0.0482  0.04
Biret 1990   53  0.6532  0.0050  0.0450  0.0433  0.1872  0.08
Blet 2003   29  0.7254  0.0033  0.0738  0.1820  0.3432  0.25
Block 1995   69  0.5866  0.0067  0.0367  0.0358  0.0488  0.03
Blumental 1952   65  0.6011  0.0134  0.0736  0.1923  0.2040  0.19
Boshniakovich 1969   12  0.794  0.095  0.1516  0.4416  0.5213  0.48
Brailowsky 1960   80  0.5281  0.0083  0.0382  0.0381  0.0387  0.03
Bunin 1987   82  0.5078  0.0082  0.0288  0.0241  0.1975  0.06
Bunin 1987b   83  0.4960  0.0081  0.0386  0.0340  0.1970  0.08
Chiu 1999   78  0.5374  0.0064  0.0365  0.0346  0.0581  0.04
Cohen 1997   88  0.3159  0.0088  0.0458  0.0464  0.0484  0.04
Cortot 1951   45  0.6658  0.0063  0.0449  0.0428  0.2960  0.11
Csalog 1996   76  0.5319  0.0176  0.0376  0.0333  0.2071  0.08
Czerny 1949   25  0.7447  0.0011  0.1312  0.4815  0.5112  0.49
Czerny 1990   13  0.7949  0.0016  0.1117  0.439  0.4618  0.44
Duchoud 2007   81  0.5231  0.0079  0.0378  0.0347  0.0778  0.05
Ezaki 2006   23  0.7544  0.0026  0.0525  0.3312  0.4923  0.40
Falvay 1989   73  0.548  0.0277  0.0383  0.0342  0.2269  0.08
Farrell 1958   54  0.6582  0.0049  0.0453  0.0428  0.3153  0.11
Ferenczy 1958   67  0.5970  0.0078  0.0380  0.0352  0.0583  0.04
Fliere 1977   9  0.8017  0.017  0.159  0.5113  0.4215  0.46
Fou 1978   22  0.7524  0.0022  0.1024  0.3318  0.3427  0.33
Francois 1956   60  0.6348  0.0061  0.0369  0.0326  0.2968  0.09
Friedman 1923   50  0.6579  0.0058  0.0379  0.0327  0.4161  0.11
Friedman 1923b   51  0.6586  0.0054  0.0457  0.0427  0.4248  0.13
Friedman 1930   57  0.6487  0.0062  0.0373  0.0332  0.3759  0.11
Garcia 2007   28  0.7388  0.0036  0.0540  0.1228  0.3039  0.19
Garcia 2007b   37  0.6983  0.0047  0.0462  0.0435  0.2465  0.10
Gierzod 1998   3  0.861  0.321  0.312  0.723  0.681  0.70
Gornostaeva 1994   61  0.6242  0.0066  0.0375  0.0343  0.0979  0.05
Groot 1988   70  0.5789  0.0074  0.0368  0.0367  0.0489  0.03
Harasiewicz 1955   20  0.7610  0.0119  0.1111  0.4912  0.4317  0.46
Hatto 1993   48  0.6650  0.0041  0.0834  0.2030  0.2836  0.24
Hatto 1997   43  0.6736  0.0040  0.0535  0.2029  0.2935  0.24
Horowitz 1949   30  0.7261  0.0037  0.0541  0.1215  0.4834  0.24
Indjic 1988   42  0.6780  0.0039  0.0533  0.2125  0.3131  0.26
Kapell 1951   34  0.7056  0.0032  0.0629  0.2548  0.0554  0.11
Kissin 1993   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Kushner 1989   18  0.7615  0.0129  0.0828  0.2622  0.3830  0.31
Luisada 1991   14  0.789  0.029  0.1115  0.476  0.4714  0.47
Lushtak 2004   40  0.6865  0.0043  0.0445  0.0827  0.2147  0.13
Malcuzynski 1961   63  0.6220  0.0165  0.0381  0.0316  0.3263  0.10
Magaloff 1978   62  0.6245  0.0060  0.0464  0.0420  0.3352  0.11
Magin 1975   15  0.7822  0.0121  0.0919  0.4016  0.4522  0.42
Michalowski 1933   52  0.6563  0.0056  0.0463  0.0424  0.2857  0.11
Milkina 1970   16  0.776  0.0212  0.1310  0.507  0.568  0.53
Mohovich 1999   41  0.6734  0.0035  0.0837  0.1837  0.2737  0.22
Moravec 1969   79  0.5371  0.0084  0.0287  0.0240  0.1476  0.05
Morozova 2008   7  0.8151  0.0013  0.1213  0.483  0.5611  0.52
Neighaus 1950   36  0.6938  0.0025  0.0727  0.3028  0.3628  0.33
Niedzielski 1931   35  0.7075  0.0030  0.0830  0.2422  0.4329  0.32
Ohlsson 1999   49  0.6526  0.0038  0.0539  0.1332  0.2541  0.18
Osinska 1989   21  0.7627  0.0017  0.1218  0.4312  0.5016  0.46
Pachmann 1927   56  0.6467  0.0068  0.0366  0.0316  0.3756  0.11
Paderewski 1930   46  0.6672  0.0052  0.0452  0.0423  0.3255  0.11
Perlemuter 1992   19  0.7668  0.0020  0.1022  0.3914  0.4620  0.42
Pierdomenico 2008   68  0.585  0.0370  0.0460  0.0423  0.3649  0.12
Poblocka 1999   5  0.8118  0.0110  0.156  0.545  0.554  0.54
Rabcewiczowa 1932   38  0.6946  0.0046  0.0451  0.0426  0.2462  0.10
Rachmaninoff 1923   27  0.7337  0.0018  0.1020  0.408  0.4421  0.42
Rangell 2001   85  0.4439  0.0080  0.0385  0.0347  0.0585  0.04
Richter 1976   32  0.7023  0.0048  0.0454  0.0413  0.5243  0.14
Rosen 1989   24  0.7433  0.0024  0.0826  0.3319  0.3825  0.35
Rosenthal 1930   59  0.6376  0.0057  0.0384  0.0312  0.3464  0.10
Rosenthal 1931   74  0.5452  0.0072  0.0455  0.0424  0.3058  0.11
Rosenthal 1931b   75  0.5390  0.0073  0.0374  0.0324  0.2767  0.09
Rosenthal 1931c   72  0.5553  0.0069  0.0548  0.0524  0.3151  0.12
Rosenthal 1931d   77  0.5384  0.0071  0.0371  0.0326  0.2566  0.09
Rossi 2007   84  0.4957  0.0085  0.0370  0.0350  0.0680  0.04
Rubinstein 1939   55  0.6577  0.0055  0.0461  0.0414  0.3850  0.12
Rubinstein 1952   71  0.5613  0.0145  0.0544  0.0936  0.3142  0.17
Rubinstein 1966   64  0.6125  0.0044  0.0442  0.1026  0.3538  0.19
Schilhawsky 1960   10  0.807  0.026  0.1414  0.487  0.589  0.53
Shebanova 2002   8  0.8116  0.014  0.194  0.619  0.486  0.54
Smith 1975   44  0.6621  0.0159  0.0372  0.0339  0.1077  0.05
Sokolov 2002   58  0.6414  0.0151  0.0547  0.0517  0.3445  0.13
Sztompka 1959   11  0.7912  0.018  0.135  0.5510  0.4910  0.52
Tomsic 1995   66  0.6043  0.0075  0.0456  0.0420  0.4446  0.13
Uninsky 1932   17  0.7764  0.0023  0.0721  0.4015  0.4719  0.43
Uninsky 1971   26  0.7435  0.0028  0.0623  0.3725  0.4024  0.38
Wasowski 1980   31  0.7040  0.0053  0.0546  0.0548  0.0873  0.06
Zak 1937   4  0.8230  0.0014  0.137  0.534  0.547  0.53
Zak 1951   6  0.8128  0.0015  0.188  0.534  0.555  0.54
Average   2  0.863  0.133  0.341  0.746  0.533  0.63
Random 1   90  -0.2291  0.0090  0.0190  0.0156  0.0490  0.02
Random 2   89  -0.1073  0.0089  0.0289  0.0230  0.1774  0.06
Random 3   91  -0.2585  0.0091  0.0191  0.0169  0.0391  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).