Nelva Nely Almanza Ortega

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

Joaquín Pérez Ortega, Rodolfo A. Pazos Rangel, Nelva Nely Almanza Ortega, 2018, Int. J. Comb. Optim. Probl. Informatics.

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

Joaquín Pérez Ortega, Rodolfo A. Pazos Rangel, Nelva Nely Almanza Ortega, 2018, Computación y Sistemas.

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

Joaquín Pérez Ortega, Adriana Mexicano, Nelva Nely Almanza Ortega, 2017, WorldCIST.

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

Nelva Nely Almanza Ortega, Sandra Silvia Roblero Aguilar, José Solis-Cordova, 2019, MICAI.

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

Jesús Ariel Carrasco-Ochoa, Nelva Nely Almanza Ortega, José Fco. Martínez-Trinidad, 2020, MCPR.

Improving the K-Means Clustering Algorithm Oriented to Big Data Environments

Joaquín Pérez Ortega, Nelva Nely Almanza Ortega, A L Marco Aguirre, 2021 .

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

Joaquín Pérez Ortega, Gerardo Reyes Salgado, Nelva Nely Almanza Ortega, 2015, Computación y Sistemas.

Prediction of Diabetes Mortality in Mexico City Applying Data Science

Joaquín Pérez Ortega, Rodolfo A. Pazos Rangel, Nelva Nely Almanza Ortega, 2021, IWAIPR.

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

Joaquín Pérez Ortega, Rodolfo A. Pazos Rangel, Nelva Nely Almanza Ortega, 2022, Entropy.

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

Joaquín Pérez Ortega, Juan Frausto Solís, Nelva Nely Almanza Ortega, 2022, Axioms.