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According to the Mahalanobis distances method, the results of which are shown in Fig. 1, it was highlighted that all the data was below the critical value.
The aligned sequences were further analysed, either by the distances method (Neighbor-Joining program) or by the parsimony method (Protpars program, not shown).
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In order to investigate the sensitivity of results to variations in matrices distances methods, Patristic distances were computed using the program PATRISTIC [177].
The lunar-distance method could be made available more quickly and was the only means of checking the performance of a ship-board timekeeper.
One of the astronomical solutions to finding longitude, the lunar-distance method, as the timekeeping solution, particularly with the publication of the Nautical Almanac.
The lunar-distance method was complex and time-consuming and could only become useful if enough navigators were trained to undertake the required observations and calculations.
The present study focused on the critical distance method.
The Mahalanobis distance method was used for identifying outliers in the monitoring data.
Step 2 Defuzzify corresponding linguistic values by means of signed distance method.
The hierarchical clustering by minimum (energy) E-distance method was performed.
In Fig. 18d, the results of the "Euclidean distance" method are depicted.
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