Commit 41a0bf7b authored by Davis King's avatar Davis King

updated docs

--HG--
extra : convert_revision : svn%3Afdd8eb12-d10e-0410-9acb-85c331704f74/trunk%403654
parent 979f8bf5
......@@ -158,6 +158,7 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
<item>sample_pair</item>
<item>find_percent_shortest_edges_randomly</item>
<item>find_k_nearest_neighbors</item>
<item>find_approximate_k_nearest_neighbors</item>
<item>squared_euclidean_distance</item>
<item>use_weights_of_one</item>
<item>use_gaussian_weights</item>
......@@ -231,11 +232,24 @@ Davis E. King. <a href="http://www.jmlr.org/papers/volume10/king09a/king09a.pdf"
This is a function which finds all the k nearest neighbors of a set of points and outputs
the result as a vector of <a href="#sample_pair">sample_pair</a> objects. It takes O(n^2) where
n is the number of data samples. A faster approximate version is provided by
<a href="#find_percent_shortest_edges_randomly">find_percent_shortest_edges_randomly</a>.
<a href="#find_approximate_k_nearest_neighbors">find_approximate_k_nearest_neighbors</a>.
</description>
</component>
<!-- ************************************************************************* -->
<component>
<name>find_approximate_k_nearest_neighbors</name>
<file>dlib/manifold_regularization.h</file>
<spec_file link="true">dlib/manifold_regularization/graph_creation_abstract.h</spec_file>
<description>
This function is a simple approximate form of <a href="#find_k_nearest_neighbors">find_k_nearest_neighbors</a>.
Instead of checking all possible edges it randomly samples a large number of them and then performs
exact k-nearest-neighbors on that randomly selected subset.
</description>
</component>
<!-- ************************************************************************* -->
<component>
......
......@@ -128,6 +128,7 @@
<term file="dlib/manifold_regularization/sample_pair_abstract.h.html" name="order_by_distance"/>
<term file="ml.html" name="find_percent_shortest_edges_randomly"/>
<term file="ml.html" name="find_k_nearest_neighbors"/>
<term file="ml.html" name="find_approximate_k_nearest_neighbors"/>
<term file="dlib/manifold_regularization/graph_creation_abstract.h.html" name="contains_duplicate_pairs"/>
<term file="dlib/manifold_regularization/graph_creation_abstract.h.html" name="max_index_value_plus_one"/>
<term file="ml.html" name="linear_manifold_regularizer"/>
......
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