Approximations par arbre d'une distance partielle

In tree clustering, we try to approximate a given dissimilarity matrice by a tree distance. In some cases, especially when comparing biological sequences, some dissimilarity values cannot be evaluated and we get some partial dissimilarity with undefined values. In that case one can develop a sequential method to reconstruct a valued tree or evaluate the missing values using a tree model. This paper introduces two methods of this kind and compare them simulating noisy partial tree dissimilarities.