[FEATURE] Add PLVQ model

docs/source/custom.rst

@@ -2,8 +2,6 @@
 
 Abstract Models
 ========================================
-.. autoclass:: prototorch.models.abstract.AbstractPrototypeModel
+.. automodule:: prototorch.models.abstract
    :members:
-
-.. autoclass:: prototorch.models.abstract.PrototypeImageModel
-   :members:
+   :undoc-members:

docs/source/library.rst

@@ -8,7 +8,7 @@ Models
 
 Unsupervised Methods
 -----------------------------------------
-.. autoclass:: prototorch.models.unsupervised.KNN
+.. autoclass:: prototorch.models.knn.KNN
    :members:
 
 .. autoclass:: prototorch.models.unsupervised.NeuralGas
@@ -80,9 +80,11 @@ Every prototypes is a center of a gaussian distribution of its class, generating
 .. autoclass:: prototorch.models.probabilistic.RSLVQ
    :members:
 
-Missing:
+:cite:t:`villmann2018` proposed two changes to RSLVQ: First incooperate the winning rank into the prior probability calculation.
+And second use divergence as loss function.
 
-- PLVQ
+.. autoclass:: prototorch.models.probabilistic.PLVQ
+   :members:
 
 Classification by Component
 --------------------------------------------

docs/source/refs.bib

@@ -60,3 +60,14 @@
     doi = {10.1162/neco.2009.11-08-908},
 }
 
+@InProceedings{villmann2018,
+    author="Villmann, Andrea
+    and Kaden, Marika
+    and Saralajew, Sascha
+    and Villmann, Thomas",
+    title="Probabilistic Learning Vector Quantization with Cross-Entropy for Probabilistic Class Assignments in Classification Learning",
+    booktitle="Artificial Intelligence and Soft Computing",
+    year="2018",
+    publisher="Springer International Publishing",
+}
+