diff --git a/doc/index.md b/doc/index.md
index e8aaaa994d..c8a9d8cd16 100644
--- a/doc/index.md
+++ b/doc/index.md
@@ -100,6 +100,11 @@ Predict continuous values.
 
 ### Clustering algorithms
 
+***NOTE:*** this documentation is still under construction and so some
+algorithms that mlpack implements are not yet listed here.  For now, see
+[the mlpack/methods directory](https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods)
+for a full list of algorithms.
+
 Group points into clusters.
 
  * [`MeanShift`](user/methods/mean_shift.md): clustering with the density-based
@@ -107,18 +112,33 @@ Group points into clusters.
 
 ### Geometric algorithms
 
+***NOTE:*** this documentation is still under construction and so no geometric
+algorithms in mlpack are documented yet.  For now, see
+[the mlpack/methods directory](https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods)
+for a full list of algorithms.
+
 Computations based on distance metrics.
 
 <!-- TODO: add some -->
 
 ### Preprocessing utilities
 
+***NOTE:*** this documentation is still under construction and so no
+preprocessing utilities in mlpack are documented yet.  For now, see
+[the mlpack/methods/preprocess directory](https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods)
+for a full list of algorithms.
+
 Prepare data for machine learning algorithms.
 
 <!-- TODO: add some -->
 
 ### Transformations
 
+***NOTE:*** this documentation is still under construction and so some
+algorithms that mlpack implements are not yet listed here.  For now, see
+[the mlpack/methods directory](https://github.com/mlpack/mlpack/tree/master/src/mlpack/methods)
+for a full list of algorithms.
+
 Transform data from one space to another.
 
  * [`AMF`](user/methods/amf.md): alternating matrix factorization
diff --git a/doc/user/methods/decision_tree_regressor.md b/doc/user/methods/decision_tree_regressor.md
index b0a0cb8c21..b465a5f4f6 100644
--- a/doc/user/methods/decision_tree_regressor.md
+++ b/doc/user/methods/decision_tree_regressor.md
@@ -474,7 +474,7 @@ class CustomNumericSplit
    - ***Note***: `BestBinaryCategoricalSplit` should not be chosen when there
      are multiple classes and many categories.
    - ***Note***: for regression tasks,
-     [W. Fisher's proof of correctness](http://www.csiss.org/SPACE/workshops/2004/SAC/files/fisher.pdf)
+     [W. Fisher's proof of correctness](https://www.mlpack.org/papers/fisher.pdf)
      only applies to when `FitnessFunction` is `MSEGain`; therefore,
      `BestBinaryCategoricalSplit` requires the use of `MSEGain`.
  * A custom class must take a [`FitnessFunction`](#fitnessfunction) as a
diff --git a/src/mlpack/methods/CMakeLists.txt b/src/mlpack/methods/CMakeLists.txt
index 11e926ee69..7dc1c46ad5 100644
--- a/src/mlpack/methods/CMakeLists.txt
+++ b/src/mlpack/methods/CMakeLists.txt
@@ -26,7 +26,7 @@ add_all_bindings(hmm hmm_train "Misc. / Other")
 add_all_bindings(hmm hmm_generate "Misc. / Other")
 add_all_bindings(hmm hmm_loglik "Misc. / Other")
 add_all_bindings(hmm hmm_viterbi "Misc. / Other")
-add_all_bindings(hoeffding_trees hoeffding_tree "Clustering")
+add_all_bindings(hoeffding_trees hoeffding_tree "Classification")
 add_all_bindings(kde kde "Misc. / Other")
 add_all_bindings(kernel_pca kernel_pca "Transformations")
 add_all_bindings(kmeans kmeans "Clustering")