Learning Dendrite Morphological Neurons Using Linkage Trees for Pattern Classification

Samuel Omar Tovias-Alanis, Wilfrido Gómez-Flores, Gregorio Toscano-Pulido, Juan Humberto Sossa-Azuela

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review


This article presents a Dendrite Morphological Neuron model learned by Linkage Trees (LT-DMN). It is presented as an alternative to modern DMN model training approaches based on k-means clustering that must tune the number of dendrites per class by defining a k-value. Also, the k-means based methods have a problem of non-reproducibility and, for each potential solution, they may present the risk of falling into local minima. The LT-DMN algorithm selects the centroids from a deterministic hierarchical clustering, which builds a linkage tree for each class of patterns. In addition, the simulated annealing algorithm is used to automatically fit a suitable cut-off point in the structure of each tree that minimizes the classification error and the number of dendrites. The proposed method is evaluated on nine synthetic data sets and 17 real-world problems. The results reveal that the proposed method is competitive or even better than seven DMN models from the literature. Furthermore, LT-DMN achieves low architectural complexity by using few dendrites.

Original languageEnglish
Title of host publicationPattern Recognition - 14th Mexican Conference, MCPR 2022, Proceedings
EditorsOsslan Osiris Vergara-Villegas, Vianey Guadalupe Cruz-Sánchez, Juan Humberto Sossa-Azuela, Jesús Ariel Carrasco-Ochoa, José Francisco Martínez-Trinidad, José Arturo Olvera-López
PublisherSpringer Science and Business Media Deutschland GmbH
Number of pages11
ISBN (Print)9783031077494
StatePublished - 2022
Event14th Mexican Conference on Pattern Recognition, MCPR 2022 - Ciudad Juárez, Mexico
Duration: 22 Jun 202225 Jun 2022

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume13264 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


Conference14th Mexican Conference on Pattern Recognition, MCPR 2022
CityCiudad Juárez


  • Classification
  • Dendrite morphological neuron
  • Linkage trees
  • Spherical dendrites


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