Nelva Nely Almanza Ortega

According to our database, Nelva Nely Almanza Ortega authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

A New Criterion for Improving Convergence of Fuzzy C-Means Clustering.

Joaquín Pérez Ortega, Carlos Fernando Moreno-Calderón, Sandra Silvia Roblero Aguilar, Nelva Nely Almanza Ortega, Juan Frausto Solís, Rodolfo A. Pazos Rangel, José María Rodríguez-Lelis

Axioms, January, 2024

2022

Influence of Transfer Entropy in the Short-Term Prediction of Financial Time Series Using an ∊-Machine.

José Crispín Zavala Díaz, Joaquín Pérez Ortega, Nelva Nely Almanza Ortega, Rodolfo A. Pazos Rangel, José María Rodríguez-Lelis

Entropy, 2022

Comparative Analysis of K-Means Variants Implemented in R.

Nelva Nely Almanza Ortega, Joaquín Pérez Ortega, José Crispín Zavala Díaz, José Solis-Romero

Computación y Sistemas, 2022

Hybrid Fuzzy C-Means Clustering Algorithm Oriented to Big Data Realms.

Joaquín Pérez Ortega, Sandra Silvia Roblero Aguilar, Nelva Nely Almanza Ortega, Juan Frausto Solís, José Crispín Zavala Díaz, Yasmín Hernández, Vanesa Landero-Nájera

Axioms, 2022

2021

Prediction of Diabetes Mortality in Mexico City Applying Data Science.

Joaquín Pérez Ortega, Andrea Vega-Villalobos, Nelva Nely Almanza Ortega, Rodolfo A. Pazos Rangel, José Crispín Zavala Díaz, José María Rodríguez-Lelis, Yasmín Hernández

Proceedings of the Progress in Artificial Intelligence and Pattern Recognition, 2021

2020

Towards Selecting Reducts for Building Decision Rules for Rule-Based Classifiers.

Manuel S. Lazo-Cortés, José Fco. Martínez-Trinidad, Jesús Ariel Carrasco-Ochoa, Nelva Nely Almanza Ortega

Proceedings of the Pattern Recognition - 12th Mexican Conference, 2020

2019

Grey-Fuzzy Approach to Support the Optimisation of the Shot Peening Process.

José Solis-Cordova, Sandra Silvia Roblero Aguilar, Nelva Nely Almanza Ortega, José Solis-Romero

Proceedings of the Advances in Soft Computing, 2019

2018

A-means: improving the cluster assignment phase of k-means for Big Data.

Joaquín Pérez Ortega, Nelva Nely Almanza Ortega, Jorge A. Ruiz-Vanoye, Rodolfo A. Pazos Rangel, Socorro Sáenz-Sánchez, José María Rodríguez-Lelis, Alicia Martínez Rebollar

Int. J. Comb. Optim. Probl. Informatics, 2018

An Efficient Heuristic Applied to the K-means Algorithm for the Clustering of Large Highly-Grouped Instances.

Joaquín Pérez Ortega, Miguel Angel Hidalgo, Noé Alejandro Castro-Sánchez, Rodolfo A. Pazos Rangel, Ocotlán Díaz-Parra, Víctor Olivares-Peregrino, Nelva Nely Almanza Ortega

Computación y Sistemas, 2018

2017

Improving the Efficiency of the K-medoids Clustering Algorithm by Getting Initial Medoids.

Joaquín Pérez Ortega, Nelva Nely Almanza Ortega, Jessica Adams-López, Moisés González-García, Adriana Mexicano, Socorro Sáenz-Sánchez, José María Rodríguez-Lelis

Proceedings of the Recent Advances in Information Systems and Technologies, 2017

2016

Identifying stable objects for accelerating the classification phase of k-means.

Adriana Mexicano, Salvador Cervantes, Ricardo Rodríguez Jorge, Joaquín Pérez, Nelva Almanza, M. A. Jiménez, A. Azuara

Proceedings of the Advances on P2P, 2016

2015

A Data Preparation Methodology in Data Mining Applied to Mortality Population Databases.

Joaquín Pérez Ortega, Emmanuel Iturbide, Víctor Olivares, Miguel Angel Hidalgo, Alicia Martínez Rebollar, Nelva Almanza

J. Medical Syst., 2015

Characterization of Difficult Bin Packing Problem Instances oriented to Improve Metaheuristic Algorithms.

Adriana Mexicano-Santoyo, Joaquín Pérez Ortega, Gerardo Reyes Salgado, Nelva Nely Almanza Ortega

Computación y Sistemas, 2015