CAIBAL: cluster-attribute interdependency based automatic labeler

M Moura, R Veras, V Machado - Proceedings of the 37th ACM/SIGAPP …, 2022 - dl.acm.org
Clustering is a relevant research area in Machine Learning. The purpose of clustering is to
group the objects in a dataset so that each group is made up of similar ones, which have …

Group labeling methodology using distance-based data grouping algorithms

F Imperes Filho, VP Machado, RMS Veras… - Revista de Informática …, 2020 - seer.ufrgs.br
Clustering algorithms are often used to form groups based on the similarity of their members.
In this context, understanding a group is just as important as its composition. Identifying, or …

Using Regression Error Analysis and Feature Selection to Automatic Cluster Labeling

LES Silva, VP Machado, SS Araujo… - Progress in Artificial …, 2021 - Springer
Abstract Cluster Labeling Models apply Artificial Intelligence techniques to extract the key
features of clustered data to provide a tool for clustering interpretation. For this purpose, we …

[PDF][PDF] Modelo de Classificaçao de Grupos baseado em Rotulaçao e Lógica Fuzzy

SS Araujo, VP Machado, LES Silva, R Veras - 2019 - researchgate.net
The techniques of clustering and classification are frequently used to obtain patterns and
classify new data. The combination of those techniques can be applied to problems where …

[引用][C] MODELO DE CLASSIFICAÇÃO FUZZY BASEADO EM ROTULAÇÃO DE GRUPOS E LÓGICA FUZZYMODELO DE CLASSIFICAÇÃO FUZZY BASEADO EM …

SS ARAUJO - 2020

[引用][C] Rotulação de Grupos em Algoritmos de Agrupamento Baseados em Distância Utilizando Grau de Pertinência