diff --git a/gtsam/inference/BayesTree.h b/gtsam/inference/BayesTree.h
index 04bc1bf59..2008a48f6 100644
--- a/gtsam/inference/BayesTree.h
+++ b/gtsam/inference/BayesTree.h
@@ -33,6 +33,8 @@ namespace gtsam {
 	 * Bayes tree
 	 * Templated on the CONDITIONAL class, the type of node in the underlying Bayes chain.
 	 * This could be a ConditionalProbabilityTable, a GaussianConditional, or a SymbolicConditional
+	 *
+	 * \ingroup Multifrontal
 	 */
 	template<class CONDITIONAL>
 	class BayesTree: public Testable<BayesTree<CONDITIONAL> > {
diff --git a/gtsam/inference/JunctionTree.h b/gtsam/inference/JunctionTree.h
index 2395a62a3..33a5054d7 100644
--- a/gtsam/inference/JunctionTree.h
+++ b/gtsam/inference/JunctionTree.h
@@ -42,6 +42,8 @@ namespace gtsam {
 	 * chordal Bayes net resulting from elimination. In GTSAM the BayesTree is used to
 	 * represent the clique tree associated with a Bayes net, and the JunctionTree is
 	 * used to collect the factors associated with each clique during the elimination process.
+	 *
+	 * \ingroup Multifrontal
 	 */
 	template<class FG>
 	class JunctionTree: public ClusterTree<FG> {
diff --git a/gtsam/linear/GaussianJunctionTree.h b/gtsam/linear/GaussianJunctionTree.h
index f7edc6ae7..7e5972daa 100644
--- a/gtsam/linear/GaussianJunctionTree.h
+++ b/gtsam/linear/GaussianJunctionTree.h
@@ -30,6 +30,8 @@ namespace gtsam {
 	/* ************************************************************************* */
 	/**
 	 * GaussianJunctionTree that does the optimization
+	 *
+	 * \ingroup Multifrontal
 	 */
 	class GaussianJunctionTree: public JunctionTree<GaussianFactorGraph> {