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)

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)

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 (3PGCIC, 2016)

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 (WorldCIST (1), 2017)

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)

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)

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 (MICAI, 2019)

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 (MCPR, 2020)

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 (IWAIPR, 2021)

Corrosion Analysis Through an Adaptive Preprocessing Strategy Using The K-Means Algorithm. - Nelva Nely Almanza Ortega; Juana María Flores-Vázquez; Héctor Martínez-Añorve; Joaquín Pérez Ortega; José Crispín Zavala Díaz; Adriana Mexicano-Santoyo; Jesús Carlos Carmona-Frausto (CENTERIS/ProjMAN/HCist, 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)

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)

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)

Hybrid Fuzzy C-Means Clustering Algorithm, Improving Solution Quality and Reducing Computational Complexity. - Joaquín Pérez Ortega; Carlos Fernando Moreno-Calderón; Sandra Silvia Roblero Aguilar; Nelva Nely Almanza Ortega; Juan Frausto Solís; Rodolfo A. Pazos Rangel; Alicia Martínez Rebollar (Axioms, 2024)

Shortest-length and coarsest-granularity constructs vs. reducts: An experimental evaluation. - Manuel S. Lazo-Cortés; Guillermo Sánchez-Díaz; Nelva Nely Almanza Ortega (Int. J. Approx. Reason., 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, 2024)