Merge pull request #573 from GAA-UAM/feature/DTMClassifier_doc_fix

Update citation and See also in DTMClassifier class

docs/refs.bib

@@ -364,6 +364,21 @@ @article{pini++_2018_hotelling
   keywords = {Functional data,High-dimensional data Hotelling’s,Hilbert space,Nonparametric inference,Permutation test}
 }
 
+@incollection{pintado+romo_2005_depthbased,
+  title = {Depth-Based Classification for Functional Data},
+  shorttitle = {Data {{Depth}}},
+  booktitle = {Data {{Depth}}: {{Robust Multivariate Analysis}}, {{Computational Geometry}} and {{Applications}}},
+  author = {Pintado, Sara and Romo, Juan},
+  year = {2005},
+  month = nov,
+  series = {{{DIMACS Series}} in {{Discrete Mathematics}} and {{Theoretical Computer Science}}},
+  volume = {72},
+  pages = {103--119},
+  publisher = {{American Mathematical Society}},
+  doi = {10.1090/dimacs/072/08},
+  isbn = {978-0-8218-3596-8}
+}
+
 @inbook{ramsay+silverman_2005_functionala,
   title = {From Functional Data to Smooth Functions},
   booktitle = {Functional Data Analysis},

skfda/ml/classification/_centroid_classifiers.py

@@ -127,7 +127,7 @@ class DTMClassifier(NearestCentroid[Input, Target]):
 
     Test samples are classified to the class that minimizes the distance of
     the observation to the trimmed mean of the group
-    :footcite:`fraiman+muniz_2001_trimmed`.
+    :footcite:`pintado+romo_2005_depthbased`.
 
     Parameters:
         proportiontocut:
@@ -174,6 +174,7 @@ class DTMClassifier(NearestCentroid[Input, Target]):
 
     See also:
         :class:`~skfda.ml.classification.NearestCentroid`
+        :class:`~skfda.exploratory.stats.trim_mean`
 
     References:
         .. footbibliography::