Match each definition with the corresponding term. - Model with low bias and high variance. - Classification technique that produces rectilinear decision boundaries. - Classification technique that produces decision boundaries of any shape. - Clustering technique that only detects clusters with spherical shapes. A. Decision Trees B. Hierarchical Clustering C. Overfitted D. K-Means E. DBSCAN F. Naive Bayes G. k-Nearest Neighbors H. Underfitted