Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Afanassiev 2001   50  0.7625  0.0048  0.0554  0.0530  0.2041  0.10
Ashkenazy 1981   30  0.8242  0.0044  0.0736  0.0735  0.0851  0.07
Beliavsky 2004   39  0.8055  0.0051  0.0739  0.0721  0.2833  0.14
BenOr 1989   11  0.8616  0.0121  0.0820  0.3036  0.0930  0.16
Biret 1990   34  0.818  0.0220  0.0818  0.353  0.597  0.45
Blet 2003   32  0.8151  0.0034  0.0835  0.0836  0.0845  0.08
Block 1995   58  0.7138  0.0057  0.0363  0.0341  0.0760  0.05
Brailowsky 1960   37  0.8031  0.0049  0.0550  0.0522  0.2639  0.11
Chiu 1999   55  0.7247  0.0040  0.0552  0.0551  0.0558  0.05
Clidat 1994   23  0.8334  0.0037  0.0738  0.0743  0.0655  0.06
Cohen 1997   63  0.4832  0.0063  0.0648  0.0628  0.1148  0.08
Coop 1987   28  0.825  0.047  0.228  0.4820  0.3313  0.40
Cortot 1951   56  0.7148  0.0061  0.0458  0.0464  0.0364  0.03
Czerny 1949   8  0.8756  0.0011  0.129  0.4722  0.3511  0.41
Czerny 1949b   9  0.8740  0.0013  0.1017  0.3630  0.2221  0.28
Ezaki 2006   27  0.8224  0.0035  0.0742  0.0735  0.0944  0.08
Falvay 1989   53  0.7422  0.0045  0.0645  0.0648  0.0652  0.06
Ferenczy 1958   61  0.6920  0.0029  0.0827  0.1621  0.3026  0.22
Fiorentino 1962   15  0.8541  0.0026  0.0925  0.2748  0.0636  0.13
Fliere 1977   10  0.8627  0.0012  0.0911  0.4736  0.0727  0.18
Fou 1978   41  0.7954  0.0043  0.0553  0.0541  0.0753  0.06
Francois 1956   26  0.8219  0.0050  0.0740  0.0718  0.3531  0.16
Hatto 1997   60  0.7136  0.0047  0.0741  0.0732  0.1242  0.09
Horowitz 1971   31  0.8117  0.0136  0.0737  0.0718  0.3529  0.16
Horowitz 1985   52  0.7529  0.0055  0.0460  0.0411  0.5232  0.14
Indjic 2001   59  0.7146  0.0046  0.0649  0.0632  0.1247  0.08
Kapell 1951   20  0.847  0.038  0.2215  0.4020  0.3514  0.37
Kiepura 1999   46  0.7865  0.0054  0.0551  0.0540  0.0657  0.05
Kilenyi 1937   21  0.8311  0.0116  0.1112  0.4531  0.2219  0.31
Kissin 1993   24  0.832  0.172  0.235  0.5413  0.406  0.46
Kitain 1937   62  0.5223  0.0062  0.0456  0.0417  0.3838  0.12
Kushner 1990   4  0.906  0.033  0.193  0.734  0.592  0.66
Levy 1951   57  0.7152  0.0058  0.0364  0.0333  0.0662  0.04
Luisada 1990   5  0.8850  0.0014  0.1113  0.4416  0.3812  0.41
Lushtak 2004   25  0.8333  0.0033  0.0644  0.0635  0.0950  0.07
Lympany 1968   22  0.8337  0.0032  0.0632  0.1123  0.2528  0.17
Magaloff 1977   40  0.7957  0.0052  0.0647  0.0650  0.0559  0.05
Magaloff 1977b   42  0.7966  0.0053  0.0643  0.0642  0.0656  0.06
Magin 1975   33  0.8126  0.0038  0.0934  0.0931  0.1537  0.12
Milkina 1970   19  0.8413  0.0124  0.0826  0.2311  0.4817  0.33
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Nadelmann 1956   18  0.8430  0.0017  0.0719  0.3210  0.4015  0.36
Ohlsson 1999   48  0.7644  0.0028  0.0629  0.1523  0.3125  0.22
Olejniczac 1990   14  0.8535  0.0025  0.0722  0.2945  0.0635  0.13
Olejniczak 1991   13  0.8543  0.0015  0.1114  0.4424  0.2816  0.35
Osinska 1989   1  0.921  0.321  0.321  0.804  0.601  0.69
Paderewski 1912   16  0.8445  0.0042  0.0646  0.0629  0.2240  0.11
Perahia 1994   45  0.7814  0.0130  0.0630  0.121  0.6422  0.28
Perlemuter 1986   7  0.883  0.125  0.246  0.5115  0.389  0.44
Poblocka 1999   17  0.8428  0.0018  0.0724  0.2826  0.2423  0.26
Rangell 2001   43  0.7953  0.0027  0.0728  0.1545  0.0643  0.09
Risler 1920   35  0.8059  0.0041  0.0555  0.0526  0.3334  0.13
Rosen 1989   54  0.7439  0.0056  0.0361  0.0352  0.0563  0.04
Rubinstein 1939   44  0.7918  0.0139  0.1033  0.104  0.6324  0.25
Rubinstein 1952   12  0.859  0.029  0.177  0.486  0.564  0.52
Rubinstein 1966   36  0.8010  0.0123  0.0916  0.386  0.625  0.49
Rummel 1943   51  0.7661  0.0059  0.0362  0.0321  0.2346  0.08
Shebanova 2002   29  0.8215  0.0122  0.0821  0.3022  0.2820  0.29
Smith 1975   2  0.9121  0.006  0.264  0.593  0.693  0.64
Szpilman 1948   6  0.8812  0.0110  0.1210  0.4714  0.418  0.44
Uninsky 1971   47  0.7660  0.0031  0.0631  0.1158  0.0449  0.07
Wasowski 1980   49  0.7649  0.0060  0.0457  0.0442  0.0561  0.04
Weissenberg 1971   38  0.8058  0.0019  0.0823  0.2915  0.3618  0.32
Average   3  0.904  0.114  0.292  0.7929  0.2210  0.42
Random 1    65  -0.1564  0.0065  0.0265  0.0261  0.0265  0.02
Random 2   64  0.0463  0.0064  0.0459  0.0431  0.1054  0.06
Random 3   66  -0.1962  0.0066  0.0166  0.0155  0.0366  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).