Mohovich 1999

Performance0-Rank  0-Score1-Rank  1-Score2-Rank  2-Score3-Rank  3-Score3R-Rank  3R-Score4-Rank  4-Score  NED
Ashkenazy 1981   53  0.0347  0.0050  0.0450  0.0450  0.0453  0.04
Bacha 1997   37  0.3943  0.0043  0.0645  0.0626  0.1836  0.10
Barbosa 1983   45  0.3428  0.0037  0.0741  0.0738  0.0650  0.06
Biret 1990   30  0.4841  0.0033  0.0737  0.0719  0.3531  0.16
Block 1995   17  0.5912  0.0121  0.1720  0.448  0.7715  0.58
Brailowsky 1960   47  0.2737  0.0047  0.0743  0.0734  0.0744  0.07
Chiu 1999   35  0.4132  0.0036  0.0835  0.0835  0.0746  0.07
Clidat 1994   24  0.5238  0.0026  0.1526  0.2824  0.1825  0.22
Cohen 1997   41  0.3929  0.0030  0.0932  0.0924  0.1735  0.12
Cortot 1951   29  0.4824  0.0032  0.1029  0.109  0.5323  0.23
Csalog 1996   9  0.6339  0.008  0.1613  0.6212  0.4916  0.55
Czerny 1990   18  0.5821  0.0018  0.1516  0.559  0.5417  0.54
Ezaki 2006   3  0.748  0.022  0.261  0.883  0.763  0.82
Ferenczy 1958   36  0.4017  0.0041  0.0648  0.0640  0.0648  0.06
Fliere 1977   39  0.3948  0.0042  0.0739  0.0733  0.0743  0.07
Fou 1978   27  0.4933  0.0029  0.1028  0.109  0.4526  0.21
Francois 1956   31  0.4726  0.0034  0.1127  0.1111  0.5024  0.23
Grinberg 1951   14  0.6114  0.0015  0.1615  0.571  0.7213  0.64
Hatto 1993   33  0.4440  0.0031  0.1031  0.1024  0.2133  0.14
Hatto 1997   42  0.3819  0.0035  0.0833  0.0834  0.0939  0.08
Indjic 2001   32  0.4434  0.0027  0.1030  0.1023  0.2232  0.15
Jonas 1947   25  0.5131  0.0022  0.1224  0.3328  0.1127  0.19
Kapell 1951   16  0.6018  0.0010  0.1819  0.5018  0.4320  0.46
Kiepura 1999   38  0.3920  0.0038  0.0736  0.0728  0.1137  0.09
Kushner 1989   1  0.761  0.391  0.382  0.873  0.734  0.80
Luisada 1991   40  0.3927  0.0044  0.0740  0.0718  0.2434  0.13
Lushtak 2004   20  0.5616  0.0023  0.1422  0.3612  0.6618  0.49
Magaloff 1978   43  0.3744  0.0039  0.0646  0.0636  0.0749  0.06
Meguri 1997   21  0.5535  0.0019  0.1421  0.4424  0.3422  0.39
Milkina 1970   19  0.5723  0.0020  0.1718  0.5125  0.3421  0.42
Mohovich 1999   target  targettarget  targettarget  targettarget  targettarget  targettarget  target
Niedzielski 1931   46  0.3242  0.0046  0.0738  0.0733  0.1040  0.08
Ohlsson 1999   28  0.4849  0.0028  0.0834  0.0829  0.1138  0.09
Olejniczak 1990   44  0.3645  0.0045  0.0742  0.0730  0.1042  0.08
Osinska 1989   7  0.712  0.174  0.345  0.836  0.676  0.75
Rangell 2001   23  0.555  0.0514  0.1917  0.519  0.6814  0.59
Richter 1976   6  0.7110  0.017  0.306  0.791  0.825  0.80
Rubinstein 1938   34  0.4222  0.0040  0.0647  0.0613  0.4629  0.17
Rubinstein 1952   13  0.6215  0.0016  0.1711  0.674  0.6412  0.65
Rubinstein 1961   10  0.639  0.0212  0.189  0.738  0.758  0.74
Rubinstein 1966   8  0.6511  0.0111  0.178  0.748  0.767  0.75
Shebanova 2002   26  0.5130  0.0025  0.1125  0.3033  0.0930  0.16
Smidowicz 1948   2  0.764  0.085  0.484  0.862  0.901  0.88
Smidowicz 1948b   5  0.726  0.036  0.227  0.792  0.882  0.83
Smith 1975   49  0.1546  0.0049  0.0549  0.0543  0.0551  0.05
Sofronitsky 1949   48  0.2150  0.0048  0.0644  0.0634  0.0847  0.07
Sztompka 1959   15  0.6113  0.0017  0.1914  0.595  0.7211  0.65
Tomsic 1995   11  0.6236  0.0013  0.2112  0.6516  0.3519  0.48
Uninsky 1971   12  0.627  0.039  0.1710  0.715  0.6110  0.66
Wasowski 1980   22  0.5551  0.0024  0.1323  0.3632  0.0928  0.18
Average Tempo   4  0.733  0.163  0.413  0.8713  0.529  0.67
Random 1   51  0.0625  0.0052  0.0252  0.0223  0.1452  0.05
Random 2   52  0.0452  0.0053  0.0253  0.0222  0.2245  0.07
Random 3   50  0.0953  0.0051  0.0251  0.0213  0.3641  0.08

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).