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What is the difference between using an optimality criterion and a clustering algorithm for reconstructing phylogenetic trees?

a. In the steps necessary to reconstruct a phylogenetic tree, the optimality criterion must be applied first in order to provide valid input data for the clustering algorithm
b. In the steps necessary to reconstructing a phylogenetic tree, the clustering algorithm must be applied first in order to provide valid input data for the optimality criterion method
c. Clustering algorithms function by determining the number of steps necessary to transform one tree into another, while optimality criterions function by determining the number of steps necessary to transform one tree into another
d. Optimality criterions function by determining the number of steps necessary to transform one tree into another, while clustering algorithms function by create hereditary groupings

Respuesta :

Answer: a. In the steps necessary to reconstruct a phylogenetic tree, the optimality criterion must be applied first in order to provide valid input data for the clustering algorithm

Explanation:

Phylogenetic relationships relate the modern day organisms with that of primitive organisms. The relationship is determined on the basis of morphology, physiology, and genetic relationships.

Clustering algorithm can be used for giving the output data. The algorithm based method can be used for the purpose of generation of the phylogenetic tree by applying a method. It is used for comparing the alternative phylogenies to the reference and identifying which is more better.

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