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Novel Clustering Method Based on K-Medoids and Mobility Metric
The structure and constraint of MANETS influence negatively the performance of QoS, moreover the main routing protocols proposed generally operate in flat routing. Hence, this structure gives the bad results of QoS when ...
Aplicación del algoritmo K-Medoid para la segmentación de los alumnos ingresantes de una universidad.
(Escuela Superior Politécnica de Chimborazo, 2021-05-31)
Currently, in the area within higher education, data management has become essential for academic decision making and the improvement of educational processes. Analytics and statistics have been taken to the technological ...
Biometric cryptosystem based on keystroke dynamics and k-medoids
(IETE Journal of Research, 2011)
A Hybrid Heuristic for the k-medoids Clustering Problem
(Assoc Computing Machinery, 2012-01-01)
Clustering is an important tool for data analysis, since it allows the exploration of datasets with no or very little prior information. Its main goal is to group a set of data based on their similarity (dissimilarity). A ...
Modelo fuzzy e convexo para agrupamento de dados por k-medoides
(Universidade Federal do Rio Grande do NorteBrasilUFRNPROGRAMA DE PÓS-GRADUAÇÃO EM ENGENHARIA ELÉTRICA E DE COMPUTAÇÃO, 2020-12-16)
The k-medoids model is one of the most popular clustering methods. In this work, we
propose the Convex Fuzzy k-Medoids Problem (CFKM), which not only allows one object
to be assigned to multiple clusters, but also allows ...
Métodos de agrupamento na análise de dados de expressão gênica
(Universidade Federal de São CarlosBRUFSCarPrograma de Pós-Graduação em Estatística - PPGEs, 2009-02-16)
The clustering techniques have frequently been used in literature to the analyse data in several fields of application. The main objective of this work is to study such techniques. There is a large number of clustering ...
Una técnica de agrupación robusta para un enfoque Big Data: CLARABD para tipos de datos mixtos.
(Escuela Superior Politécnica de Chimborazo, 2019-06-11)
When a researcher does not have an a priori knowledge of the configuration of groups in a given data set, the need to perform a classification known as unsupervised classification emerges. In addition, the data set can be ...
“Análisis de exactitud de los algoritmos de clustering aplicados en la base de datos del sistema académico de la UNACH”
(Universidad Nacional de Chimnborazo, 2019)
Análise de conglomerados aplicada à identificação de famílias com características habitacionais semelhantes entre as inscritas no Cadastro Único no município de Brumadinho-Minas Gerais.
(Universidade Federal de Minas GeraisBrasilICX - DEPARTAMENTO DE ESTATÍSTICACurso de Especialização em EstatísticaUFMG, 2022-12-06)
The precarious settlements, dwellings with inadequate infrastructure where low-income families live, are a challenge to the right to housing in Brazil, affecting about 5.8 million households. The study analyzed the housing ...
Segmentação de clientes de um e-commerce brasileiro utilizando RFV e métodos de clusterização particionais
(Florianópolis, SC, 2022-07-19)
Este trabalho desenvolve uma estratégia de segmentação baseada no comportamento de compra de clientes de um e-commerce do Brasil. Através da análise de dados, este trabalho busca fornecer embasamento ao direcionamento de ...