Metodos de Agrupamentos em dois Estagios
Machine Learning
2021-08-04 v1 Neural and Evolutionary Computing
Abstract
This work investigates the use of two-stage clustering methods. Four techniques were proposed: SOMK, SOMAK, ASCAK and SOINAK. SOMK is composed of a SOM (Self-Organizing Maps) followed by the K-means algorithm, SOMAK is a combination of SOM followed by the Ant K-means (AK) algorithm, ASCAK is composed by the ASCA (Ant System-based Clustering Algorithm) and AK algorithms, SOINAK is composed by the Self-Organizing Incremental Neural Network (SOINN) and AK. SOINAK presented a better performance among the four proposed techniques when applied to pattern recognition problems.
Cite
@article{arxiv.2108.01123,
title = {Metodos de Agrupamentos em dois Estagios},
author = {Jefferson Souza and Teresa Ludermir},
journal= {arXiv preprint arXiv:2108.01123},
year = {2021}
}
Comments
20 pages, in Portuguese, 10 figures, 6 tables