Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   45  0.6955  0.0051  0.0555  0.0547  0.0558  0.05
Ashkenazy 1981   37  0.7158  0.0049  0.0642  0.0649  0.0559  0.05
Beliavsky 2004   27  0.7225  0.0024  0.0724  0.308  0.4420  0.36
BenOr 1989   1  0.841  0.421  0.411  0.778  0.582  0.67
Biret 1990   13  0.7620  0.0019  0.1315  0.4833  0.0827  0.20
Blet 2003   21  0.7410  0.0114  0.1113  0.544  0.676  0.60
Block 1995   31  0.7249  0.0045  0.0460  0.0430  0.1450  0.07
Brailowsky 1960   47  0.6939  0.0043  0.0553  0.0513  0.4237  0.14
Chiu 1999   50  0.6865  0.0047  0.0547  0.0536  0.0852  0.06
Clidat 1994   48  0.6938  0.0044  0.0546  0.0525  0.2246  0.10
Cohen 1997   42  0.7041  0.0040  0.0554  0.056  0.4336  0.15
Coop 1987   35  0.7143  0.0041  0.0558  0.0540  0.0855  0.06
Cortot 1951   29  0.7245  0.0039  0.0637  0.0634  0.0756  0.06
Czerny 1949   32  0.7232  0.0035  0.0636  0.0630  0.1548  0.09
Czerny 1949b   56  0.6459  0.0059  0.0462  0.0454  0.0562  0.04
Ezaki 2006   7  0.7651  0.0026  0.0726  0.2928  0.2522  0.27
Falvay 1989   9  0.7636  0.0017  0.1217  0.4419  0.4314  0.43
Ferenczy 1958   36  0.7121  0.0048  0.0550  0.058  0.5233  0.16
Fiorentino 1962   10  0.7622  0.007  0.183  0.6814  0.554  0.61
Fliere 1977   41  0.7056  0.0038  0.0552  0.0556  0.0460  0.04
Fou 1978   34  0.7140  0.0028  0.0828  0.2541  0.0741  0.13
Francois 1956   59  0.608  0.0236  0.0551  0.053  0.7430  0.19
Hatto 1997   40  0.7062  0.0050  0.0545  0.0528  0.1449  0.08
Horowitz 1971   49  0.6813  0.0123  0.0832  0.139  0.4424  0.24
Horowitz 1985   61  0.5060  0.0062  0.0544  0.0561  0.0461  0.04
Indjic 2001   8  0.7631  0.0021  0.1020  0.3715  0.4319  0.40
Kapell 1951   14  0.767  0.028  0.1011  0.5625  0.3016  0.41
Kiepura 1999   46  0.6934  0.0056  0.0640  0.0628  0.2442  0.12
Kilenyi 1937   33  0.7129  0.0031  0.0929  0.2135  0.1134  0.15
Kissin 1993   18  0.7512  0.019  0.1212  0.5622  0.3017  0.41
Kitain 1937   62  0.4844  0.0061  0.0548  0.0527  0.2445  0.11
Kushner 1990   44  0.7018  0.0037  0.0557  0.052  0.7129  0.19
Levy 1951   43  0.7052  0.0034  0.0634  0.0638  0.0753  0.06
Luisada 1990   16  0.7554  0.0032  0.1031  0.2027  0.3123  0.25
Lushtak 2004   52  0.6761  0.0054  0.0638  0.0629  0.1847  0.10
Lympany 1968   17  0.759  0.0211  0.115  0.582  0.781  0.67
Magaloff 1977   24  0.7353  0.0027  0.0823  0.3444  0.0639  0.14
Magaloff 1977b   26  0.7263  0.0030  0.0927  0.2634  0.0935  0.15
Magin 1975   39  0.7028  0.0053  0.0549  0.0536  0.0754  0.06
Milkina 1970   6  0.765  0.0418  0.129  0.563  0.645  0.60
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Nadelmann 1956   22  0.7448  0.0013  0.1219  0.427  0.5212  0.47
Ohlsson 1999   55  0.6535  0.0058  0.0461  0.0446  0.0563  0.04
Olejniczac 1990   4  0.776  0.025  0.172  0.6816  0.507  0.58
Olejniczak 1991   20  0.7423  0.0012  0.1314  0.4826  0.3715  0.42
Osinska 1989   3  0.7816  0.016  0.137  0.5721  0.4010  0.48
Paderewski 1912   54  0.6624  0.0042  0.0459  0.0426  0.3044  0.11
Perahia 1994   25  0.724  0.0615  0.1221  0.351  0.6711  0.48
Perlemuter 1986   53  0.6715  0.0155  0.0639  0.0610  0.5132  0.17
Poblocka 1999   2  0.8019  0.004  0.144  0.6531  0.3213  0.46
Rangell 2001   5  0.772  0.212  0.236  0.5812  0.568  0.57
Risler 1920   58  0.6142  0.0052  0.0643  0.0623  0.3238  0.14
Rosen 1989   57  0.6337  0.0057  0.0635  0.0620  0.3240  0.14
Rubinstein 1939   60  0.5947  0.0060  0.0641  0.0649  0.0557  0.05
Rubinstein 1952   23  0.7333  0.0033  0.0833  0.0814  0.3931  0.18
Rubinstein 1966   15  0.7611  0.0116  0.1110  0.563  0.673  0.61
Rummel 1943   30  0.7230  0.0029  0.0830  0.206  0.5421  0.33
Shebanova 2002   19  0.753  0.073  0.1618  0.433  0.629  0.52
Smith 1975   28  0.7227  0.0020  0.1516  0.4541  0.0828  0.19
Szpilman 1948   51  0.6757  0.0046  0.0556  0.0533  0.0851  0.06
Uninsky 1971   38  0.7026  0.0025  0.0925  0.3030  0.1625  0.22
Wasowski 1980   12  0.7614  0.0122  0.1022  0.3432  0.1226  0.20
Weissenberg 1971   11  0.7617  0.0010  0.178  0.5728  0.2818  0.40
Random 1    63  0.0264  0.0063  0.0363  0.0315  0.4243  0.11
Random 2   64  -0.0146  0.0064  0.0264  0.0255  0.0365  0.02
Random 3   65  -0.0250  0.0065  0.0265  0.0249  0.0464  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).